Number of Issues

47

Article View

567,001

PDF Download

377,540

View Per Article

1588.24

PDF Download Per Article

1057.54

Number of Submissions

790

Rejected Submissions

327

Reject Rate

41

Accepted Submissions

362

Acceptance Rate

46

Time to Accept (Days)

131

Number of Indexing Databases

13

Number of Reviewers

540

Knowledge Retrieval and Semantic Systems is an open-access, double-blind, peer-reviewed journal published by Allameh Tabataba’i University, the leading university in Humanities and Social Sciences in Iran. This Journal has been established to provide an intellectual platform for national and international researchers working Knowledge Retrieval and Semantic Systems. The Journal was founded in as a response to quick advancements in Knowledge Retrieval and Semantic Systems and was dedicated to the publication of highest-quality research studies that report findings on issues of great concern to the profession of Knowledge Retrieval and Semantic Systems.

To allow for easy and worldwide access to the most updated research findings, the journal is set to be an open-access journal. Yet, To allow for easy and worldwide access to the most updated research findings, the journal is set to be an open-access journal. Yet, The journal charges two million Rials to compensate a part of the arbitration fee, and if the article is accepted, additionally four million Rials will be charged from the authors for a part of the costs of processing the articles, the rest of the costs will be financially supported by Allameh Tabatabai University.

Non-Iranian authors are free of mentioned charges.

 

The journal is published in both a print version and an online version.

Research Paper Semantic Systems

Scientific Mapping of the Field of Artificial Intelligence and Information Seeking Behavior: Analysis of Trends and Topic Clusters in the Web of Science

Pages 1-27

https://doi.org/10.22054/jks.2026.89953.1754

Yeganeh Dastar, mohammadreza khorramabadi arani, Ahmad Shabani, Fatemeh Darestani Farahani

Abstract Introduction
Information seeking behavior (ISB) is a complex, multidimensional process at the intersection of cognitive, affective, and technological dimensions. Traditional models describe ISB as a conscious, goal-oriented process. However, the advent of Artificial Intelligence (AI), including large language models, recommender systems, and conversational agents, has fundamentally transformed this paradigm. AI has shifted ISB from reactive, keyword-based searching to proactive, conversational, and algorithm-driven interactions. Despite these shifts, there is a lack of comprehensive, quantitative mapping of the global scientific structure at the intersection of AI and ISB. This study addresses this gap by employing scientometrics to map the intellectual structure, evolutionary trends, and emerging thematic clusters of this domain.
Research Questions
1. Which countries, institutions, authors, and journals have the highest scientific output in the domain of “AI in the transformation of ISB”?
2. What are the temporal trends, language distribution, and annual growth of publications from 1976 to 2025?
3. What is the conceptual structure, keyword co-occurrence network, and thematic clustering of this research field?
Literature Review
Foundational ISB models emphasize cognitive and affective stages, highlighting uncertainty and information anxiety. Later systemic models incorporated social and organizational barriers. In the digital era, scholars note that AI introduces new concepts such as “hidden information needs” and “conversational information interaction.” While previous studies have qualitatively explored specific AI systems, they lack a macro-level quantitative analysis. Scientometric approaches, utilizing databases like Web of Science (WoS), offer robust tools for mapping knowledge domains, identifying core contributors, and revealing hidden evolutionary patterns in scientific production, which this study leverages.
Methodology
This applied research utilized a scientometric approach. The statistical population comprised all documents indexed in the Web of Science (WoS) core collection, extracted on January 15, 2025, covering the period from 1976 to 2025. The search strategy combined AI-related terms with ISB terms. The initial search yielded 2, 147 records. After data cleaning (including removing duplicates, non-research documents, and standardizing author names) 1, 902 records were retained. Data analysis and visualization were conducted using Excel and R software with the bibliometrix package, employing co-word analysis, co-authorship networks, and citation analysis.
Results
The United States led scientific production with 392 records, followed by China (324) and the UK (162). Harvard University was the top institution (33 articles), followed by the University of Toronto (28). “IEEE” and “Lecture Notes in Computer Science” were the most prolific sources (56 articles each). Trend Analysis: English dominated the literature (98.26%). The publication trend exhibited two distinct phases: a slow growth phase (1976–2020, comprising 31% of outputs) and an exponential acceleration phase post-2020. The peak occurred in 2024 with 393 documents. Conceptual Structure: Computer Science was the dominant subject category (965 articles), while Information Science accounted for only 161. Co-word analysis revealed seven distinct thematic clusters. Cluster 1 focused on AI in digital health, trust, and bias. Cluster 2 covered deep learning. Cluster 3 centered on natural language processing. Cluster 4 (16 keywords) related to data mining applications, precision, feature extraction, machine learning, neural networks, information retrieval, and visualization. Cluster 5 highlighted generative AI and ethics. Cluster 6 (5 keywords) focused on recommender systems and personalization techniques such as collaborative filtering and case-based reasoning. Cluster 7 (3 keywords) related to algorithms and the music information retrieval process.
Discussion
The findings revealed that AI is no longer merely a retrieval tool but an active agent shaping user behavior, trust, and cognitive processes. The exponential growth post-2020 aligned with the rise of conversational AI. However, a significant disciplinary imbalance exists; the field is heavily dominated by computer science and engineering, while the human, cognitive, and ethical dimensions (traditionally the domain of information science and psychology) are marginalized. This technological determinism risks creating systems that are highly efficient but lack human-centric design. Furthermore, the geographical concentration of research in Western institutions highlighted a global scientific divide. The emergence of clusters focusing on “ethics” and “bias” indicated a growing awareness of socio-technical challenges.
Conclusion
The intersection of AI and ISB is a rapidly evolving, interdisciplinary field transitioning from traditional search to proactive, generative interactions. To ensure these technologies serve humanity effectively, future research must pivot towards three main axes: developing ethical frameworks for transparent AI systems, investigating the long-term cognitive impacts of AI on vulnerable groups like students, and fostering deep interdisciplinary collaborations. Only by integrating computer science with information science, psychology, and ethics can we design AI-driven information systems that are not only technologically robust but also socially equitable and human-centric.


Ethical Considerations
Author Contributions
All authors contributed equally to the conceptualization of the article and writing of the original and subsequent drafts.
Data Availability Statement
Data are available upon request from the authors.
Acknowledgements
Not applicable.
Ethical Considerations
The authors avoided data fabrication, falsification, plagiarism, and misconduct. As this study utilized publicly available, anonymized bibliometric data, no ethical approval was required.
Funding
This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.
Conflict of Interest
“The authors declare no conflict of interest.”

Research Paper Semantic Web and Ontology

Domain Ontology Modeling in the Digital Archive of the Islamic Revolution Document Center: A Hybrid Approach of Text Analysis and Ontology Reuse

Pages 29-54

https://doi.org/10.22054/jks.2025.88985.1746

Nader Naghshineh, Alireza Entehaei Saray, Behrouz Minaei-Bidgoli, Ali Shabani

Abstract Introduction Information organization is a cornerstone of every information-retrieval system, since query effectiveness depends on how information is organized and represented. Digital archives, especially historical ones such as the Islamic Revolution Document Center (IRDC) of Iran, face a persistent challenge: traditional retrieval systems cannot provide comprehensive, meaning-based access to document content. Established in 1981 to compile the history of the Islamic Revolution and collect the documents and memoirs of Imam Khomeini's movement, the IRDC holds more than 4.5 million written-document pages, about 31,000 hours of oral-history interviews, nearly 372,000 photographs, more than 13 million news titles, and around 90,000 domestic and foreign articles. Although much of this material has been digitized through optical character recognition (OCR) and automatic speech recognition (ASR), the center's retrieval system relies mainly on descriptive metadata and full-text search, so that key entities (persons, places, events, and concepts) remain hidden, limiting comprehensive access. This calls for a redesign based on knowledge-graph and ontology approaches that can extract and organize entities semantically. This research models a domain ontology for the IRDC digital archive through a hybrid approach combining text analysis with the reuse of existing ontologies, establishing a foundation for a knowledge graph that supports semantic retrieval and AI systems for managing Iran's historical documents. Research Questions 1. What are the entities and classes of the subject domain of the IRDC digital-archive documents, and how can they be represented within a domain ontology? 2. What should the hierarchical structure and the relationships among the ontology classes be? 3. Which ontologies and classification systems are most suitable for reuse in building the IRDC domain ontology? Literature Review Research on ontology- and knowledge-graph-based knowledge organization falls into several strands: automatic or hybrid extraction of structured information from text (Emami, 2022; Moradi et al., 2015; Gutierrez et al., 2016; Wimalasuriya & Dou, 2010); knowledge-graph development, including a Persian knowledge graph (Sajjadi & Minaei Bidgoli, 2019) and FarsBase (Asgari-Bidhendi et al., 2019); knowledge-graph-based question answering (Yang et al., 2023; Tong et al., 2019); human-driven ontology design in specialized domains (Torabi et al., 2022; Sadeghi Niaraki et al., 2018; Servati et al., 2017); knowledge-graph-based retrieval and search engines (Homayouni et al., 2018; Li, 2019; Wang et al., 2019); ontology-based retrieval optimization (Jafari Pavarsi et al., 2020; Asim et al., 2019); and thesaurus enrichment for ontology construction (Hosseini Beheshti & Ejei, 2015; Wu, 2018). A review of this body of work shows that, although these studies advance meaning-based organization, most rely on relatively structured or general sources, including Wikipedia, web tables, scientific databases, and technical texts, rather than real archival environments marked by heterogeneous sources, diverse formats, and semantic ambiguity, and they emphasize technical extraction methods over practical application in operational systems. The present study therefore occupies a distinct, applied, problem-driven position, designing and implementing, for the first time, a domain ontology for contemporary Iranian history within a real digital-archive context and addressing the gap in the domestic literature. Methodology A mixed-method design was adopted. Informational entities were identified through semi-automatic and automatic text analysis, and the ontology was designed following the best practices of Arp et al. (2015) for building domain ontologies on Basic Formal Ontology (BFO): defining the scope, identifying universals from existing ontologies and domain texts, arranging them in a general-to-specific hierarchy, ensuring logical coherence and human-readable definitions, and formalizing the result in a computer-usable language. The scope was limited to contemporary Iranian history, that is, the second Pahlavi period, the Islamic Revolution and its aftermath, and the Islamic Republic to the present, with fine-grained classes for persons, parties, governance periods, organizations, places, and related events. The research population comprised all digitized resources of the archive, from which a purposive sample was selected in consultation with the center's managers and experts. Two tools supported entity recognition: the open-source annotation software INCEpTION for manual and semi-automatic tagging, and a large language model (Grok v3.0) for automatic named-entity recognition, whose errors were corrected under human supervision. Existing ontologies and classifications were analyzed with Protégé and SPARQL queries over RDF/OWL files, reusing DBpedia, the Persian knowledge-graph ontology (FarsBase), BIBFRAME, and the Library of Congress classification for the history of Iran. The hierarchy was built around an is_a backbone with single inheritance, the open-world assumption, and the objectivity principle, using DBpedia as the base. Finally, the classes were validated through the Nominal Group Technique with eleven managers and experts across two three-hour sessions, applying four criteria: hierarchical logic, historical and cultural accuracy, alignment and conceptual equivalence, and completeness and simplicity. Results The combination of text analysis with the reuse of DBpedia, BIBFRAME, and the Library of Congress Iranian-history classification produced 535 terms, organized under main classes including agent, person, organization, family, event, work, government period, subject concept, place, architectural structure, and ethnic group. After validation by the expert group and majority consensus, 457 classes were confirmed, 70 were added, 53 were relocated within the hierarchy, 19 were removed, 5 terms were renamed, and 2 classes were both relocated and renamed. Most of the additions concerned the agent–person and place branches, and a dedicated subject-concept branch was created for intellectual, political, social, and economic currents, schools of thought, and ideologies. The architectural-structure branch was merged into the place branch as spatial subdivisions, and several unconventional or overlapping class labels were corrected or removed. Regarding the third question, no domain ontology for contemporary Iranian history was found domestically; the Library of Congress expansion was preferred over the Dewey-based one because it subsumes the Dewey classes, DBpedia was confirmed as the core general ontology (the Persian knowledge graph differing in only ten classes), and BIBFRAME served as the reference for the work-related classes. Discussion The study yielded a validated, extensible base ontology for contemporary Iranian history grounded in the IRDC archive. Its results agreed with earlier Persian-language extraction studies and with hybrid ontology-based extraction approaches, but its data derive from authentic, semi-structured historical documents rather than structured or general texts, with emphasis on a native conceptual structure suited to the Iranian historical domain rather than on extraction algorithms. The scale of the expert-driven revision showed that general structures such as DBpedia or the Persian knowledge graph cannot accurately cover native Iranian-history concepts without extensive localization, consistent with Sajjadi and Minaei Bidgoli (2019) and Asgari-Bidhendi et al. (2019). Unlike purely conceptual ontology-design studies, this work was validated through practical feedback from archival experts in a real institutional setting, making its output directly applicable within the digital-archive system. Conclusion By combining text analysis with the reuse of established ontologies and rigorous expert validation, this research produced a base domain ontology for contemporary Iranian history within the real context of the IRDC digital archive. The ontology provided a foundation for a historical knowledge graph, enhanced semantic retrieval, and served as a logical basis for artificial-intelligence systems that manage the country's historical documents, filling a gap in practical ontology design for this domain. Future research should develop interoperable domain ontologies in other subject areas, implement and evaluate an operational knowledge graph, advance more automated extraction of concepts and relations with large language models, and study relation-weighting algorithms.

Research Paper Semantic Networks

Identifying the Semantic Network of a Business Model Appropriate for Critical Conditions

Pages 57-75

https://doi.org/10.22054/jks.2025.88480.1743

Farzad Karimi, Mohsen Mohammadi Hassanloei, Mohammad hossein Arman

Abstract Introduction The business model has evolved from a simple operational blueprint into a complex, adaptive system. Osterwalder and Pigneur (2010) define it as the logic by which an organization creates, delivers, and captures value. In recent years, environmental uncertainty has increased the emphasis on dynamism and adaptability. Business model innovation is now seen as a core capability for sustaining competitive advantage—going beyond product or process innovation to a fundamental reconfiguration of how the firm operates. Organizations today face complex, uncertain environments that intensify during economic, political, social, or health crises. Static, traditional business models have proven vulnerable, as shown by COVID-19 and global conflicts. Resilience, dynamic capabilities, digitalization, and temporary innovation are widely recognized as critical elements of crisis-ready business models. Semantic network models offer a systematic way to represent and analyze relationships among concepts in nonlinear, complex domains (Schops & Jaffrentz, 2024). Drawing on cognitive psychology, semantic networks can map how concepts are mentally associated and support clearer understanding of how managers conceptualize business models under instability. This study uses semantic network analysis to identify key dimensions of a crisis-compatible business model and to examine how those dimensions interact. Research Questions l. What are the key dimensions of a business model suited to crisis conditions? 2. What relationships and interactions exist among the dimensions and components of a crisis-compatible business model? Literature Review Research on business models in crisis contexts has grown substantially. Facchinetti and Petruzzelli (2021) pioneered semantic network analysis combined with big data to study business model innovation and revealed hidden patterns in conceptual linkages. Schops and Jaffrentz (2024) highlighted semantic network analysis as a powerful tool for understanding complex conceptual relationships in marketing and consumer research. Martínez et al. (2021), studying SMEs in developing countries during COVID-19, found that firms able to redesign their business models navigated the crisis more successfully. Behroozian (2024), in the UAE oil and gas sector, emphasized transparency and speed in strategic crisis management. Garrido-Moreno et al. (2024) showed that organizational resilience mediates the relationship between service innovation and business performance. Ou and Rakthin (2025) confirmed the mediating role of innovation quality between absorptive capacity and organizational resilience in Thai SMEs. In the Iranian context, Davari (2021) reported positive effects of all corporate resilience dimensions (human resources, marketing, finance, supply chain, and services) on SME performance during COVID-19. Khabazan et al. (2023), in a review, stressed flexibility and innovation in unstable environments. Despite this body of work, three limitations remain: (1) many studies focus on narrow aspects such as digitalization or resilience rather than a multidimensional view; (2) there is little systemic understanding of synergistic interactions among business model components in crises; and (3) few studies combine quantitative network findings with qualitative validation (e.g., expert interviews) in a mixed-methods design. Methodology This is an applied, mixed-methods study using qualitative and quantitative content analysis and semantic network analysis. Data were analyzed with VOSviewer and Gephi for network construction, clustering, and visualization. Articles published from 2020 to 2025 on business model design were identified in John Wiley, Scopus, and Web of Science. Initial retrieval yielded 223 records; after title and abstract screening against inclusion criteria, 190 remained; after full-text review, duplicate removal, exclusion of non-generalizable case studies, conference papers, short notes, inaccessible texts, and low-quality studies, 150 articles entered the final analysis. Selection followed a PRISMA-based, two-stage screening process (title/abstract, then full text) by two independent reviewers, with a third reviewer resolving disagreements. Inclusion required publication between 2020 and 2025 in peer-reviewed or review journals, with clear reference in title, abstract, or keywords to business model design/formulation or business models in crisis/unstable conditions. Exclusion criteria removed duplicates, purely descriptive case studies without generalizable frameworks, and methodologically weak or off-topic papers. Articles were also scored on internal validity, external validity, structural validity, dependability, and relevance/novelty; low-scoring items were dropped. Abstracts and keywords underwent two-stage preprocessing: removal of stop words, special characters, and numbers; spelling normalization; synonym merging; and stemming (NLTK for English, HAZM for Persian). Co-occurrence networks were built in VOSviewer (minimum occurrence threshold = 5; association strength normalization; modularity-based clustering). Sensitivity analyses varied occurrence thresholds (4 and 6) and normalization methods to assess stability. Gephi was used for centrality analysis (LinLog layout; Jaccard-normalized link weights). Inter-cluster relationships were summarized with external link density. Discussion Findings aligned with Salampour et al. (2023), who proposed that business model innovation affects crisis management through entrepreneurial capability, resilience, and performance. The network structure supported business model as the integrative core, with crisis management and innovation acting as bridges among clusters. Mohammadi Hassanzadeh et al. (2024), using expert judgment and the analytic hierarchy process, ranked “adaptability to crisis conditions” as the top criterion for evaluating crisis-compatible business models, followed by innovation, compatibility, unity, comprehensiveness, and performance. High centrality of innovation and crisis management in the present network is consistent with that ranking. A crisis-compatible business model should combine: (1) flexibility and resilience; (2) continuous innovation in model components; (3) entrepreneurial and dynamic capabilities; (4) diversified revenue models; (5) customer orientation; (6) flexible organizational structures; (7) preventive and reactive strategic actions; and (8) strategic collaborations to reduce vulnerability. Practical levers include agile decision-making, supply chain and revenue diversification, strategic reserves, experimental learning, open innovation, customer intelligence systems, and scenario-based crisis planning. Conclusion Using semantic network analysis of 150 scholarly articles (2020–2025), this study identified eight interrelated dimensions of a business model suited to crisis conditions and quantified their interactions. “Business model” forms the conceptual core; crisis management, innovation, resilience, and digital transformation are critical connectors. The eight-cluster framework offered a systemic basis for designing and adapting business models under instability. Future research could combine bibliometric networks with qualitative expert validation and sector-specific case studies to strengthen external validity and managerial applicability.

Research Paper Information and Knowledge Management

Analysis and Visualization of the Scientific Publications on Clinical Research Data Management

Pages 77-94

https://doi.org/10.22054/jks.2025.85246.1704

samira esmaeili, Mohammad Hassan Azimi, Saeid Asadi

Abstract Introduction Research Data Management (RDM) has emerged as a critical component of modern scientific research, particularly in the field of clinical and medical sciences where large volumes of heterogeneous, sensitive, and complex data are generated, maintained, and used for further research and for clinical purposes. Effective management of clinical research data contributes to data integrity, security, accessibility, reproducibility, and long-term preservation of scientific outputs. The rapid expansion of digital technologies, electronic health records, clinical trials, and data-intensive research has increased the need for systematic approaches to managing research data throughout its lifecycle. Clinical research data encompass diverse forms of information, including patient records, laboratory findings, diagnostic images, and observational data. Given the significance of these data in evidence-based medicine and healthcare decision-making, understanding the evolution of scholarly research on clinical research data management is essential. Scientometric studies provide valuable insights into the intellectual structure, development patterns, influential contributors, and collaboration networks within a scientific field. Therefore, this study aimed to analyze and visualize the global scientific publications related to clinical research data management from 1990 to 2023. Literature Review Previous studies have highlighted the growing importance of research data management across various disciplines. Whyte and Tedds (2011) emphasized the necessity of systematic data management practices to ensure data preservation and reuse. Cox and Pinfield (2014) examined the evolving role of libraries in supporting research data management services, while Marlina et al. (2022) identified organizational and technological factors affecting RDM readiness. Several scientometric investigations have explored the broader field of research data management. Gupta et al. (2021) conducted a bibliometric analysis of RDM literature and found that the United States and the United Kingdom were leading contributors to the field. Lee et al. (2024) similarly reported substantial international growth in RDM-related publications and identified Germany, the United States, and the United Kingdom as major scientific producers. Within the medical and clinical domains, studies have focused on data sharing, ethical considerations, and challenges associated with managing health research data. Bull et al. (2015) discussed ethical frameworks for sharing individual-level health research data, while Rosenbaum (2018) examined the growing movement toward data sharing in medical research. Despite these contributions, few studies have specifically investigated the scientific landscape of clinical research data management using an integrated scientometric approach. This research addresses that gap by combining data from both Scopus and Web of Science databases to provide a comprehensive overview of the field. Methodology This study employed an applied scientometric research design. The statistical population consisted of all publications related to clinical research data management indexed in Scopus and Clarivate Analytics (Web of Science) between 1990 and 2023. Data retrieval was conducted through structured search strategies applied to titles, abstracts, and keywords in both databases. After data extraction and removal of duplicate records, a total of 13,978 publications remained for analysis. Multiple bibliometric and network analysis tools were utilized, including ScientoPy, Ravar Matrix, VOSviewer, UCINET, Microsoft Excel, and Python programming. These tools facilitated the examination of publication growth trends, geographical distribution of research output, collaboration networks among countries, and co-authorship patterns among researchers. Network analysis indicators such as degree centrality, closeness centrality, and betweenness centrality were calculated to identify influential countries and researchers within the scientific collaboration networks. Visualization techniques were employed to illustrate the structure and dynamics of scientific production in the field. Results The findings revealed a substantial increase in scientific publications related to clinical research data management over the study period. While only a limited number of publications appeared during the early years of the 1990s, scientific output grew steadily after 2005 and accelerated significantly from 2018 onward. The highest number of publications was recorded in 2021 and 2022, reflecting the increasing importance of data-driven healthcare research and digital health technologies. Geographical analysis showed that the United States ranked first in scientific production, followed by the United Kingdom and Germany. These countries consistently maintained their leading positions throughout the study period. Other significant contributors included Italy, France, Canada, and the Netherlands. The international collaboration network demonstrated that the United Kingdom, the United States, Switzerland, Germany, and Australia occupied central positions within global research partnerships. According to degree centrality measures, the United Kingdom exhibited the strongest collaborative activity, while the United States showed the highest closeness and betweenness centrality values, indicating its strategic role in connecting different research communities. Analysis of co-authorship networks identified several influential scholars in the field. Researchers such as Axel Junger, Hans-Ulrich Prokosch, Rainer Röhrig, Martin Sedlmayr, Dagmar Waltemath, and Carole Goble were among the most productive and influential contributors. These researchers played key roles in fostering collaboration and advancing the development of clinical research data management. Discussion The results indicated that clinical research data management has evolved into a rapidly expanding area of scientific inquiry. The notable growth in publications after 2018 may be attributed to advances in information technology, the proliferation of electronic health systems, increasing emphasis on data sharing, and the growing adoption of data-driven approaches in healthcare and biomedical research. The dominance of the United States, the United Kingdom, and Germany reflected their strong research infrastructures, substantial investment in health research, supportive policy environments, and advanced technological capabilities. Their leadership in international collaboration networks further demonstrated the importance of global partnerships in addressing complex challenges associated with clinical data management. The study also highlighted the significance of influential researchers who act as bridges between different scientific communities. Such collaborative networks contributed to knowledge dissemination, methodological innovation, and the establishment of best practices in data management. Nevertheless, challenges remain, including issues related to data standardization, interoperability, privacy protection, ethical governance, and management of large-scale datasets. The findings were consistent with previous bibliometric studies on research data management and reinforced the growing recognition of data as a strategic scientific asset. As healthcare systems continue to generate increasingly complex datasets, effective data management will become even more critical for ensuring research quality and facilitating evidence-based decision-making. Conclusion This scientometric analysis provided a comprehensive overview of global research trends in clinical research data management between 1990 and 2023. The results demonstrated significant growth in scientific output, expanding international collaboration, and increasing scholarly attention to the management of clinical research data. The United States, the United Kingdom, and Germany emerged as the leading contributors, while several prominent researchers played central roles in shaping the intellectual structure of the field. The continued expansion of clinical research data management reflected its strategic importance in supporting high-quality healthcare research and innovation. Future developments are expected to involve greater integration of artificial intelligence, machine learning, automation technologies, and advanced data analytics. Moreover, increasing attention to data standardization, interoperability, and privacy protection will be essential for maximizing the value of clinical research data. The findings of this study can assist policymakers, research institutions, and scholars in understanding the evolution of the field, identifying influential contributors, and developing strategies to strengthen research capacity and international collaboration in clinical research data management.

Research Paper Knowledge Management

Modeling the Effects of Knowledge Sharing on TEFL Instructors’ Metacognition: The Mediating Role of Creativity during the COVID-19 Pandemic

Pages 95-116

https://doi.org/10.22054/jks.2023.73444.1572

Farshad Parhamnia, Majid Farahian

Abstract Introduction With the outbreak of the COVID-19 pandemic and the closure of universities, it seemed more necessary than ever to take a deeper look at online education. In such a context, Iranian universities, like those in other countries, made use of online education. Online education, due to its nature, has a strong dependence on information and communication technologies. Furthermore, not having enough previous experience with online education has resulted in various problems and challenges. Considering these problems, the main goal of the present study was to investigate the effect of knowledge sharing on the metacognition of Teaching English as a Foreign Language (TEFL) instructors, with creativity as a mediator, in the era of COVID-19. Regarding the relationship between knowledge sharing, creativity, and metacognition, no research has been carried out so far; however, there have been several studies related to the effect and relationship between knowledge sharing and creativity, as well as the relationship between metacognition and creativity. In a study, Rezapasand et al. (2016) addressed the significant effect of knowledge sharing on creativity among employees. The findings showed that knowledge sharing has a significant effect on employees’ creativity. Similarly, Rahoo et al. (2020) studied the effect of knowledge management on the creativity of library employees. The results indicated that the creation, implementation, storage, and sharing of knowledge have a significant effect on employees’ creativity. Regarding the relationship between creativity and higher thinking, especially metacognition, the research literature has mostly addressed the effect of metacognition on creativity (VanTassel-Baska & MacFarlane, 2009; Jia, Li, & Cao, 2019), and the influence of creativity on higher thinking and metacognition has been considered less. Meanwhile, Ramirez and Ganaden (2008) investigated the effect of creative activity on students’ higher thinking and reported that creative activities have no effect on higher thinking. Considering the lack of research on this issue and taking into account the importance of knowledge sharing for metacognition, creativity can play the role of a mediator between the two variables. Therefore, this study investigated whether knowledge sharing affects the metacognition of TEFL instructors through the mediation of creativity in the era of COVID-19. Research Questions 1. Does knowledge sharing have the ability to predict the variable of creativity? 2. Does knowledge sharing have the ability to predict the variable of metacognition? 3. Does creativity have the ability to predict the variable of metacognition? 4. Does creativity have the ability to mediate the effect of knowledge sharing on metacognition? Methodology In terms of purpose, the study was applied, and in terms of methodology, it was survey‑based. The statistical population of the research included TEFL faculty members teaching in state and private universities in Iran. Out of the 450 questionnaires sent to professors’ emails, 300 were returned, of which 288 were selected. Therefore, the sample size was considered to be 288 participants according to the available sampling method. The first questionnaire was the knowledge‑sharing scale prepared by Yi (2009) for non‑university environments. Ramayah et al. (2014) modified the questionnaire for the academic environment. This questionnaire has 28 questions and four subscales. The second questionnaire was the creativity questionnaire compiled by Khany and Boghayeri (2014). This questionnaire has 43 items and three subscales. The third questionnaire was the metacognition scale developed by Balcikanli (2011). This questionnaire has 24 items and six subscales.The results of Cronbach’s alpha showed that the reliability of the knowledge‑sharing questionnaire was 0.793, the creativity questionnaire was 0.921, and the metacognition questionnaire was 0.752, which indicates acceptable reliability of the scales. Data analysis was conducted using descriptive statistics, multiple regression, and path analysis with the help of SPSS 23 and AMOS 21 software. Results Demographic analysis showed that out of the total of 288 participants in this research, 150 (52.1%) were females and 138 (47.9%) were males. In terms of academic rank, 39 (14.4%) were instructors, 201 (74.4%) assistant professors, 24 (8.9%) associate professors, and 6 (2.2%) professors. The first hypothesis examined whether knowledge sharing can explain the variance of the creativity variable. To answer this hypothesis, multiple regression was used. The results showed that the obtained R value was 0.558. The R² coefficient showed that the four variables together explained 31% of the variance of the creativity variable. Considering the standardized beta (β) coefficients, participation in writing (β = 0.266), organizational communication (β = 0.244), personal relationships (β = 0.184), and group activity (β = 0.235) could explain changes related to creativity. The correlation coefficients showed that participation in writing explains 8.8%, organizational communication 7.56%, personal relationships 4%, and group activity 9.16% of the variance of creativity. The second hypothesis explored whether knowledge sharing can explain the variance of the metacognition variable. The results of the multiple regression test showed that the obtained R value was 0.170. The R² coefficient showed that the four variables together explained 2.9% of the variance of the metacognition variable. Considering the standardized beta (β) coefficients, the coefficient for participation in writing (β = 0.133) indicated that this variable could explain changes related to metacognition. However, the other variables (organizational communication, personal relationships, and group activity) did not contribute significantly in this research. The proportional correlation coefficient showed that participation in writing explained 69.1% of the variance of metacognition. The third hypothesis explored whether creativity can explain the variance of the metacognition variable. The results showed that the obtained R value was 0.234. The R² coefficient indicated that creativity explains 5.5% of the variance of the metacognition variable. Considering the standardized beta coefficient (β = 0.234), creativity can explain the changes related to metacognition. The parametric correlation coefficient showed that creativity explains 47.5% of the variance of metacognition. Regarding the question of whether there is a relationship between the knowledge sharing subscales and metacognition, and considering the mediating role of creativity, the results of the path analysis showed that the variable of participation in writing does not directly affect metacognition, although in the regression analysis this variable directly affected metacognition. Therefore, this variable was removed from the model. In general, the fit indices of the model were favorable. Although the presented model had a good fit, the question remained whether the subscales of knowledge sharing have a significant effect on metacognition through creativity as a mediating variable. The results indicated that all subscales of knowledge sharing, through creativity, were able to affect metacognition. Conclusion The general conclusion indicated that university instructors who have higher levels of knowledge sharing are more creative in teaching, and this may help develop metacognition. Based on the findings, it is suggested that universities develop their infrastructures and train faculty members to become involved in knowledge management processes, as this may enhance the creativity of university teachers.

Research Paper Information and Knowledge Management

Factors affecting the quality improvement of the student information service system at the information service desks of public universities in the country

Pages 101-120

https://doi.org/10.22054/jks.2025.84915.1701

Gholamreza Jamei, Mohammad Rahim Rasouli Azad,, Zohreh Mirhosseini, Saeid Ghaffari

Abstract Objective: This study was conducted with the aim of identifying the effective components on improving the quality of the student information service system at the information service desks of public universities in the country.
Methodology: The present study is philosophically based on the pragmatism model, which selected the components with a partial approach and finally selected the most effective ones by comparing them. In terms of purpose, it is an applied-developmental research. In order to achieve the goal, a mixed exploratory research design (qualitative-quantitative) was used. The population of participants in the qualitative section were information science and knowledge specialists and experienced managers of public universities in Tehran, who were selected using theoretical and purposeful sampling methods, and theoretical saturation was achieved by conducting 10 interviews. The statistical population of the quantitative section includes students of public universities in Tehran, whose sample size was estimated to be 384 people using the Cochran formula. The required sample size was provided by simple random sampling. Semi-structured interviews and a researcher-made questionnaire were used to collect data. The service desk pathology model constructs were identified using qualitative content analysis in Maxqda 20 software, and the final model was validated using partial least squares in Smart PLS 3 software.

Review Paper Information and Knowledge Economics

A Systematic Review of Data Valuation Models in Information Service Chains and Their Relationship with Cost: A Structured Literature Review Using the PRISMA Approach

Pages 121-140

https://doi.org/10.22054/jks.2025.87488.1737

Saeed asgharzadeh, Faeze Eskandari

Abstract In the digital economy, data serve as strategic assets that play a vital role in creating economic value. This study aims to systematically analyze and classify the existing literature to identify frameworks and models of data valuation in information services and to explain their relationship with the cost of information services across different industries using the PRISMA guideline. The research addresses three key questions: (1) What are the fundamental criteria for data valuation? (2) What are the quantitative methods for measuring data value in information services? (3) How is the relationship between data value and the costs of information services described in the scientific literature, and what factors influence this relationship?
A systematic literature review (PRISMA) of 138 studies (2008-2025) identified 24 articles for analysis. Findings reveal three data valuation dimensions: financial (production/transaction costs), content-based (quality/entropy), and functional (operational utility). More than 75% of the reviewed studies confirm a positive relationship between data value and service cost. Despite the diversity of measurement methods—particularly in entropy-based calculations—data quality has a significant impact on its value. Among the reviewed models, hybrid and AI-driven approaches show superior performance in multidimensional analysis of data value. The proposed framework, encompassing these three dimensions, provides a foundation for developing data valuation models in information services. The heterogeneity of existing approaches highlights the need for nonlinear models and future empirical studies. The identified patterns form a basis for designing data valuation models applicable to specific industries as well as broader economic contexts.

Research Paper Knowledge Management

Providing a model for knowledge sharing in the Iran Public Libraries Foundation

Pages 141-160

https://doi.org/10.22054/jks.2024.79546.1647

Saifallah Andayesh, zahra kianrad

Abstract Introduction: . The aim of the present research is to identify and rank the factors influencing knowledge sharing in the public library institutions of the country and to provide a model for implementing knowledge sharing in that organization.


Methodology: In this research, a mixed-method approach has been used, employing various tools for data collection. These tools include library studies, semi-structured interviews, and questionnaires. The population of this research includes managers, administrative staff, and county heads in the public library institutions of the country. The research sample consists of 28 experts selected, and sampling was done using cluster sampling method.


Findings: The results of the comprehensive analysis led to the identification of 92 codes, 13 indicators, and 4 main dimensions of technological, cultural, organizational, and individual aspects in the implementation of knowledge sharing.


Conclusion: The results showed that the technological dimension has the most significant impact, while the cultural dimension has the least impact on the implementation of knowledge sharing in the public library institutions of the country. Ultimately, the model of implementing knowledge sharing at 6 levels, with indicators of functional processes, internal processes, strategic processes, and organizational belonging perception being the most influential, and indicators of information acquisition processes and knowledge transfer processes being the most affected.

Research Paper Text Analysis and Knowledge Mining

Drawing a scientific map of articles in the field of Holy defense

Pages 161-180

https://doi.org/10.22054/jks.2025.86201.1720

AliReza ABYATI, Mohammad Sadegh Jalali Rad, Seyed Javad Rezaei

Abstract The Holy Defense is a lasting epic in Iran’s history, shaped by faith, national unity, and the leadership of Imam Khomeini (RA). This study aims to map the scientific network of articles related to the Holy Defense using a scientometric approach. Through co-word and network analysis, it explores conceptual relationships among scholarly works in this field. The statistical population includes articles from 1991 to 2023 sourced from Noormags, Magiran, CIVILICA, SID, and the Comprehensive Portal of Humanities.
Findings reveal that CIVILICA has the highest number of publications, with 2022 marking the peak of scholarly output. The most frequent authorship pattern involved collaboration between two authors. Mohammad Reza Soroush emerged as the most prolific contributor. Most researchers held Master’s degrees, and Islamic Azad University had the largest share of contributors. The journal Teb-e Janbaz published the most articles, and psychology was the most active academic field.
In the network analysis, Mostafa Ghanei had the highest betweenness centrality, indicating a key role in information flow. The keyword “veterans” showed the highest degree centrality, making it the most prominent term. The psychology discipline and the University of Tehran were identified as the most influential field and institution, respectively.
Overall, scientific output in this area has increased steadily, reflecting growing academic interest. The presence of various disciplines among researchers suggests that the Holy Defense has been studied from diverse intellectual perspectives, emphasizing its broad relevance across the humanities and social sciences.

Research Paper Evaluation of Information and Knowledge Retrieval Systems

Examining the compliance level of the research information system of Shahid Chamran University of Ahvaz With the technical and information criteria of the web environment

Articles in Press, Accepted Manuscript, Available Online from 18 April 2023

https://doi.org/10.22054/jks.2023.70797.1545

Mohammad Hassan Azimi, shahnaz khademizadeh, Somayeh Avarand

Abstract Purpose: The purpose of the present study is to investigate the compliance of the research information system of Shahid Chamran University of Ahvaz with the technical and information criteria of the web environment.
Research method: descriptive-applied and combined with quantitative and qualitative methods. In the systematic review section, the theme analysis method was used to extract the technical and information criteria of the web environment, and in this regard, the basic, organizing and comprehensive themes were extracted. In a quantitative part, descriptive statistics tests (frequency and percentage) have been used to check the compliance of Shahid Chamran University of Ahvaz research information system with the technical and information criteria of the web environment.
Findings: results of the research in the field of compliance of the research information system of Shahid Chamran University with technical criteria showed 46 basic themes and 7 organizing themes and in field of information criteria, a research system including 51 basic themes and 7 organizing themes. Also, according to the examination and compliance of the research information system of Shahid Chamran University with technical standards in web environment, it has been determined that the contents in system are not properly organized and the support for different parts of system is not provided, and besides that, system guide in There are no different sections.
Result: The research information system of Shahid Chamran University of Ahvaz is 47.05% compatible with the information criteria of the web environment and needs a serious revision in its technical and informational structure.

Research Paper Knowledge Management

The impact of intellectual capital on the export performance of companies listed on the Tehran Stock Exchange

Articles in Press, Accepted Manuscript, Available Online from 14 May 2023

https://doi.org/10.22054/jks.2023.72179.1562

hasan fasaei, Amir Zakery, Yaser Sobhanifard

Abstract The export performance of companies is influenced by various internal and external factors, some of the internal factors, such as knowledge of target markets and presence in international production networks, are among the companies' intellectual capital. The purpose of this research is to investigate the impact of intellectual capital and its components on export and sales of the company. This research is applied in terms of purpose and descriptive in terms of data collection. To estimate the intellectual capital, we used the Value Added Intellectual Coefficient (VAIC) method, and to measure exports, we used the ratio of export to total sales, and we also used multivariate regression analysis to investigate the impact of two variables. The data is for a 5-year period (2015 to 2019) from all the manufacturing companies present in the Tehran Stock Exchange (195 companies) were selected. The results of the hypothesis test indicate a positive relationship between intellectual capital and export as well as sale. Of course, contrary to the initial expectation, there was no evidence of the effectiveness of human and structural capital on the export and total. Also, physical capital, as one of the components of Value Added Intellectual Coefficient calculation, has a positive impact on the export and sales. These results can be indicative of the fact that among the major listed companies of the country, knowledge-oriented components of intellectual capital such as human capital and structural capital have not found their real place in influencing international performance in comparison with physical capital.

Research Paper Information Storage and Retrieval

Analysis of Information Seeking Behavior of Faculty Members of Allameh Tabataba'i University based on Belkin Episode Model

Articles in Press, Accepted Manuscript, Available Online from 17 September 2023

https://doi.org/10.22054/jks.2023.74047.1581

Melika Khorramshokouh, Esmat Momeni, Seyed Mahdi Taheri

Abstract The current research was conducted with the aim of explaining the information-seeking behavior of Allameh Tabataba'i University faculty members based on Belkin Episode Model for use in selective dissemination of information services. In terms of its nature and purpose, it was of an applied type and was done with a survey-analytical method. The studied population consisted of 562 faculty members of Allameh Tabataba'i University, and the research sample consisted of 226 people who were selected by stratified random method. The tool used for data collection was a semi-structured questionnaire. The validity of the questionnaire was confirmed by three subject experts, and the reliability of the questionnaire was estimated to be 0.90 by calculating the Cronbach's alpha coefficient. The collected data were analyzed using SPSS software. The findings of the research showed that the information-seeking behavior of faculty members is at an "average level" and is far from the desired level. As a result, it seems that the design of the databases, the suggested keywords and key phrases of databases, and the capabilities and facilities of the database search system for users for the purpose of conceptual searches should be designed more user-oriented to solve the information needs and improve the information-seeking behavior of faculty members. to help In addition, the faculty members' use of subject thesauruses in order to use specialized terms in order to retrieve information sources that match their information needs can also be a way forward.

Research Paper Knowledge Management

The prediction of teachers' organizational development according to perceived knowledge-based leadership: the mediating role of job passion and organizational happiness

Articles in Press, Accepted Manuscript, Available Online from 13 December 2023

https://doi.org/10.22054/jks.2023.75314.1600

fatemeh matash beyranvand, Hamid Rahimi

Abstract the purpose this research was the prediction of teachers' organizational development according to perceived knowledge-based leadership with mediating role of job passion and organizational happiness. The type of research was descriptive- correlational, and the statistical population included all primary teachers of Khorram Abad city (N=1940), that the sample size (n=352) was obtained based on Cochran Formulate and stratified random sampling. Data collection tools in this research are four questionnaires knowledge-based leadership, organizational growth, job passion and organizational happiness in a Likert five-scale. The questionnaires validity were determined as face and construction. The questionnaires reliability were obtained through Cronbach's alpha coefficient for organizational growth 0.95, knowledge-based leadership 0.91, job passion 0.93 and organizational happiness 0.90. In order to analyze the research data, statistical software SPSS version 26 and Amos Graphics were used at the descriptive and inferential levels. The results showed that the mean of the knowledge-oriented leadership variable (23.28) was higher than the average (18), the mean of the organizational happiness (86.8) was higher than the average (69), the mean of organizational growth (68.63) was higher than average 75 and mean of job passion (64/44) is higher than average (51). The total effects of knowledge-based leadership on job passion, organizational happiness and organizational growth were positive and significant, and the total effects of job passion and organizational happiness on organizational growth were positive and significant, and the mediating role of job passion and organizational happiness in the effect of knowledge-oriented leadership on organizational growth became a positive and significant.

Research Paper Information and Knowledge Management

The role of cybernetics in marketing and information resources development in academic libraries

Articles in Press, Accepted Manuscript, Available Online from 12 May 2024

https://doi.org/10.22054/jks.2024.75694.1608

Ziba Shams, Zahra Abazari

Abstract Considering the importance and necessity of cybernetics in various subjects, this research was conducted with the aim of investigating the impact of the role of cybernetics in the marketing and development of information resources in university libraries. This research is of the correlation type and based on the method of obtaining the required data in the category of descriptive-survey research and according to its purpose, it is an applied research. The statistical population studied in this research are all managers and librarians of university libraries and students of information science and epistemology in Tehran city, based on Cochran's formula, the statistical sample size was determined to be 242 people. The sampling method is stratified random In order to measure the research variables, Birnbaum standard questionnaires (2013) were used. The validity of the questionnaire was determined using the opinions of experts and experts and their reliability was determined using Cronbach's alpha of 91%. To test the hypotheses, Kolmogorov-Smirnov test, Spearman correlation, Friedman, Shannon entropy technique, chi-square and binomial test were used. The results showed that cybernetics and its components have an impact on the marketing and development of information resources in academic libraries. Among the cybernetic components, the leadership component has the most impact and hard and loose operations have the least impact on the marketing and development of information resources in academic libraries.

Research Paper Knowledge Management

The influence of commitment and trust on knowledge sharing and application in an organization: A case study on employees of public library institutions in Iran

Articles in Press, Accepted Manuscript, Available Online from 31 August 2024

https://doi.org/10.22054/jks.2024.80357.1665

seifallah andayesh

Abstract Abstract

Introduction: The aim of this research is to examine the effects of organizational commitment and trust on knowledge sharing and knowledge application among employees of public library institutions in Iran.

Methodology: The present research method is descriptive and survey-based and serves its purpose. The statistical population of this study includes managers, administrative staff and district managers of the country's public libraries. The research sample consists of 218 individuals selected through cluster sampling. The data collection tools for this research are as follows: For knowledge sharing, the questionnaire of Chai et al. (2007); for engagement, the questionnaire from Ouakouak & Ouedraogo (2019); for trust, the Yatg and Peng (2009) questionnaire; and the questionnaire from Ouakouak & Ouedraogo (2019) for knowledge application. The Kolmogorov-Smirnov test was used to check the normality of the data and Cronbach's alpha coefficient was used to assess reliability using SPSS26 software. Data analysis was performed using descriptive statistical indicators such as frequency distribution and inferential statistics, as well as structural equation modeling with Smart PLS.

Results: The results showed that professional trust and affective commitment have a positive and significant influence on the knowledge sharing variable, whereas continuous commitment and personal trust have no influence on knowledge sharing. The knowledge exchange variable has a positive and significant influence on knowledge application.

Conclusion: The results showed that knowledge sharing acts as a mediating variable in the relationship between affective commitment and knowledge application; and between professional trust and knowledge application.

Research Paper Knowledge Management

Investigating the effect of Knowledge Sharing and Organizational Intelligence on Organizational Entrepreneurship with the Mediating Role of Organizational Citizenship Behavior (Case Study: Teachers of Galedar City Schools)

Articles in Press, Accepted Manuscript, Available Online from 10 December 2024

https://doi.org/10.22054/jks.2024.80325.1662

Mohammad Razzaghi, Mohsen Khoddami, Abdul Razzagh Asadi, Mohammad Asadi

Abstract The present study was conducted with the aim of investigating investigating the effect of knowledge sharing and organizational intelligence on organizational entrepreneurship with the mediating role of organizational citizenship behavior among school teachers in Galedar city. In terms of purpose and nature, the current research is applied, and in terms of data collection, it is descriptive of the type of correlation based on structural equation modeling. The statistical population of the research included all the teachers of Galhdar city in the academic year of 2022-2023, numbering 702 people. The size of the sample was considered to be 248 people according to the statistical population and using proportional stratified random sampling method and Morgan's table. To collect data, the standard questionnaires of knowledge sharing by Wang et al. (2008), Albrecht's organizational intelligence (2002), organizational citizenship behavior (1998) and Margaret Hill's organizational entrepreneurship (2003) were used. The validity of the questionnaires was confirmed by face and content validity methods and the reliability coefficient was estimated by Cronbach's alpha method 0.83, 0.75, 0.88 and 0.72 respectively. The results showed that knowledge sharing (β=0.73), organizational intelligence (β=0.85) and organizational citizenship behavior (β=0.55) have a direct, positive and significant impact on organizational entrepreneurship have. Also, knowledge sharing (β=0.47) and organizational intelligence (β=0.39) have a direct, positive and significant effect on organizational citizenship behavior. Sharing organizational knowledge and intelligence through the mediation of organizational citizenship behavior has an indirect effect on organizational entrepreneurship.

Research Paper Knowledge Management

The role of applying knowledge and counter-knowledge in the process of the influence of organizational memory on organizational agility

Articles in Press, Accepted Manuscript, Available Online from 25 December 2024

https://doi.org/10.22054/jks.2024.82038.1672

Ali Biranvand, Mohammad Ebrahim Samie, Ali Akbar Aghajani Afrouzi, SeyedAli Ghoreyshian

Abstract The current research is practical in terms of its purpose, which has investigated the effect of organizational memory on organizational agility using a descriptive-survey method. In this research, the mediating role of counter-knowledge and knowledge application variables was investigated. In order to analyze the data, the partial least squares method was used in Smart PLS software. The statistical population of the research included employees working in the Alborz Science and Technology Park province (growth centers and technology units) in 2024. The total number of these people was 178. The sample size was calculated with the help of Cochran's formula, 122 people. In order to collect primary data, the questionnaire of Cagarra-Navarro and Martello-Landroguez (2020) was used. This combined questionnaire measured the variable of organizational memory from the questionnaire of Chu, Cheng, Cheng, and Tsai (2007), measured the variable of organizational agility from the questionnaire of Lu and Ramamurthy(2011), to measure the variable Counter-knowledge questionnaire used by Chapman and Farfolja (2001) and Gold, Malhotra, and Segars (2001) questionnaire was used to measure knowledge application variable.

Review Paper

An Analysis of MetaMetadata Models: A Systematic Review

Articles in Press, Accepted Manuscript, Available Online from 19 January 2025

https://doi.org/10.22054/jks.2025.83430.1685

Negin Shokrzadeh, Zoya Abam, Seyed Mahdi Taheri

Abstract Objective: Today, meta-models are used to organize and manage metadata, therefore, the aim of this review was to examine the research related to the design techniques of meta-models.

Methodology: This study was conducted based on a systematic review method. In this review, the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) framework was employed to ensure a focused review and to present coherent findings. Relevant research was identified through databases and citation sources such as Web of Science, Scopus, Emerald, Taylor & Francis, and Science Direct, and by applying inclusion and exclusion criteria, 22 scholarly outputs were selected for the systematic review.

Findings: The findings of the review indicated that metamodel refers to metadata about metadata, providing a higher-level framework that describes the structure, relationships, and contextual purpose of metadata elements in various systems. It essentially aids in the standardization, organization, and interpretation of metadata from multiple sources, facilitating and expediting the integrity, interoperability, and usability of data. Metamodel elements within systems serve as key components for information management and organization. These elements include characteristics related to the quality of metadata, like accuracy, completeness, and currency of the metadata. Meta-models aim to enhance the capabilities of data management and retrieval in complex and heterogeneous systems, incorporating flexible and practical features into their structures.

Conclusion: Meta-metadata models,, play a crucial role in optimizing information management and retrieval processes, especially in complex and diverse environments. Implementing these approaches can lead to the development of effective and efficient systems across various fields.

Research Paper Evaluation of Information and Knowledge Retrieval Systems

The Study of the Effect of User Satisfaction on the Relationship between Perceived Information Quality and Conative Use of information System (Case study: National Iranian Drilling Company)

Articles in Press, Accepted Manuscript, Available Online from 08 March 2025

https://doi.org/10.22054/jks.2023.74188.1582

Mohammad Reza Farhadpour, Mohsen sanghari

Abstract Objective: The aim of this study was to study of the effect of user satisfaction on the relationship between perceived information quality and conative use of information system (Case study: National Iranian Drilling Company).
Method: The research was applied in terms of type and analytical in terms of survey method. The statistical population included all organizational users of information systems in the National Iranian Drilling Company in the amount of 3700, of which 348 were randomly selected based on Cochran's formula. Data collection tools were questionnaire. The validity of the questionnaire was accepted by confirmatory factor analysis. Cronbach's alpha method was used to determine its reliability, the value of which was estimated to be higher than 0.7 for the initial questionnaire (30 people). In this research, to analyze data from descriptive and inferential statistics with the help of software SPSS and AMOS were used.
Results: Based on the results, users' perception of information quality has an effect of 0.87 on their satisfaction with the information system. Users' perception of information quality affects their innovative use of information system by 0.31. In addition, user satisfaction has a significant effect on the relationship between users' perception of information quality and their innovative use of the information system in the National Iranian Drilling Company (β = 0.283)
Conclusion: According to the results, conative use as a consequence of users' perception of the results of interaction with the system is debatable.

Research Paper

Identifying and Prioritizing Digital Marketing Tools for Public Libraries’ Customer Development

Articles in Press, Accepted Manuscript, Available Online from 08 March 2025

https://doi.org/10.22054/jks.2025.83092.1681

Fariba Mardani, Mohammad Hassanzadeh, Nadjla Hariri, Fatemeh Nooshinfard

Abstract Purpose: The aim of this study is to identify and prioritize appropriate digital marketing tools for public libraries’ customer development.

Method: The present study was conducted in a combination of qualitative and quantitative methods. In the qualitative part of the research, in-depth interviews were conducted with 7 experts using a grounded method. The components were obtained from the analysis of these interviews, and a researcher-made questionnaire was designed based on both existing and desired situations. The research population in the quantitative section includes all marketers, information science specialists and librarians working in public libraries in Tehran. sampling was done randomly. Regression to the mean method was used to reach higher priority components,

Findings: The findings from the qualitative part locates 39 digital marketing tools that formed the items of the researcher-made questionnaire. In the quantitative part, the factor loading analysis of the components shows that all dimensions and tools of digital marketing in public libraries are effective and meaningful from the perspective of the community of experts. Using the Regression to the mean method, the tools that are both highly important from the perspective of experts and are currently among the most used by librarians were identified. Finaly The obtained tools were located in the content marketing tool matrix.

Conclusion: Libraries can focus on the tools suggested in this study to acquire new customers. Using a content marketing matrix reduces the complexity of working with these tools so that librarians can easily maintain their focus on the marketing.

Research Paper Knowledge Management

The Impact of AI-Based Customer Knowledge Management on User Attraction in Public Libraries

Articles in Press, Accepted Manuscript, Available Online from 25 June 2025

https://doi.org/10.22054/jks.2025.85685.1714

saeed ghaffari

Abstract The primary objective of this study is to examine the impact of implementing AI-based customer knowledge management on user attraction in the public libraries of Qom Province by evaluating the roles of work interactions, librarians’ work experience, and information work processes. Six hypotheses were formulated, investigating the direct influence of AI-based customer knowledge management on three dimensions: work interactions, work experience, and information processes. Additionally, the effects of these three variables on organizational efficiency—considered a proxy for user attraction and retention—were tested. This research is applied in purpose and descriptive-survey in data collection method. The statistical population includes all librarians working in public libraries of Qom Province, totaling 112 individuals. Simple random sampling was used, and the sample size was calculated using Cochran’s formula. The data collection instrument was a questionnaire adapted from the study by Chatterjee et al. (2021). Data were analyzed using Smart PLS software, and structural equation modeling was employed to test the hypotheses. The study’s findings indicated that AI-based customer knowledge management has a significant effect on work interactions, work experience, and information work processes. Among the mediating variables, only work interactions had a positive and significant impact on organizational efficiency. The results highlight the importance of implementing artificial intelligence in knowledge management systems to enhance work interactions and ultimately improve organizational performance in public libraries.

Research Paper Knowledge Management

The Role of Structural and Relational Social Capital in Organizational Knowledge Management

Articles in Press, Accepted Manuscript, Available Online from 29 June 2025

https://doi.org/10.22054/jks.2025.85289.1705

zohre sharei, mehrdad nosrati

Abstract Organizations can leverage knowledge by utilizing their information through value-added human elements such as vision, entrepreneurship, and experience. In this context, social capital is recognized as a key factor in the effective implementation and management of knowledge processes. The primary objective of this study is to investigate the impact of relational and structural social capital on knowledge transfer and sharing through the knowledge management process. This research is applied in purpose and descriptive-correlational in methodology. The statistical population includes 175 employees of Samen Al-A'emmeh Hospital in Galogah, Iran, who were actively employed during the questionnaire distribution period. Using Morgan's table, a sample size of 120 was determined, and questionnaires were distributed and collected randomly. The data collection tool was a Likert-scale questionnaire with five response options. The questionnaire’s validity was confirmed by expert review, and its reliability was verified through Cronbach’s alpha coefficient. The research hypotheses were tested using structural equation modeling (SEM) in the PLS software, and the model’s fit was evaluated. Findings revealed that relational and structural social capital have a significant positive impact on knowledge sharing and transfer. Additionally, the knowledge management process acts as a mediator in these relationships. These results underscore the importance of social capital in strengthening knowledge management and enhancing knowledge transfer and sharing. Ultimately, this study demonstrates that by fostering social capital—particularly in its structural and relational dimensions—organizations can improve their knowledge management processes, thereby boosting productivity and innovation.

Research Paper Information and Knowledge Theories

Construction and validation of the Knowledge Gap measurement scale

Articles in Press, Accepted Manuscript, Available Online from 13 September 2025

https://doi.org/10.22054/jks.2025.85507.1711

Ahmadreza Ahmadi Mirghaed, Somayesadat Akhshik, Mohammad Zerehsaz, Ali Azimi

Abstract هدف اصلی این پژوهش، ساخت و اعتباریابی مقیاسی برای شناخت و سنجش ابعاد و مؤلفه‌های شکاف دانش در رفتار اطلاعاتی پژوهشگران حوزه علوم انسانی است. این پژوهش از نوع کاربردی و به روش ترکیبی انجام شده است. نخست در بخش کیفی، با مطالعه متون مختلف و به وسیله تکنیک دلفی و به‌کارگیری نظرات خبرگان و پژوهشگران، ابعاد 12گانه و مؤلفه های شکاف دانش تدوین و استخراج گردید که خود مبنا و پایه ای شدند برای حرکت به سمت بخش کمّی پژوهش. در بخش کمّی، رابطه بین متغیّرها با آزمون همبستگی پیرسون و مدل پژوهش با روش مدل سازی معادلات ساختاری (SEM) آزمون شد. نتایج تحلیل عاملی تأییدی نشان داد از مجموع 72 سؤال اولیه، 54 سؤال پرسشنامه، دارای بار عاملی بیشتر از 50/0 بودند و در مدل اندازه گیری باقی ماندند (05/0>p). شاخص برازش NFI برابر با 93/0 و شاخص SRMR برابر با 075/0 بود و برازش مدل را تأیید کرد. روایی همگرا به روش میانگین واریانس استخراج شده و بیشتر از 40/0 بود و روایی واگرا به روش فورنل و لارکر تأییدکننده روایی واگرا بود. پایایی پرسشنامه نیز به روش‌های آلفای کرونباخ، پایایی ترکیبی، بازآزمایی و دونیمه کردن انجام گرفت که مقدار بسیار مناسبی داشت. بر پایه آزمون های آماری انجام گرفته، در مجموع مقیاس طراحی شده دارای ابعاد 12گانه، 33 مؤلفه و 66 گویه است که به عنوان مقیاس یا ابزاری مناسب و مفید، جهت سنجش شکاف دانش در رفتار اطلاعاتی پژوهشگران حوزه علوم انسانی ارائه و پیشنهاد می گردد.

Research Paper Information and Knowledge Management

Investigating the Impact of Information Security Knowledge Mechanism Dimensions on Protection Motivation with the Mediating Role of Psychological Processes (Case Study: National Iranian Drilling Company)

Articles in Press, Accepted Manuscript, Available Online from 18 September 2025

https://doi.org/10.22054/jks.2025.85828.1717

faeze Mayahi Arabi, fariba nazari

Abstract Abstract
purpose of this study was to examine the impact of the dimensions of the information security knowledge mechanism on The protection motivation, with psychological processes serving as a mediating factor, among employees of the National Iranian Drilling Company in Ahvaz. This research employed a descriptive-survey methodology. The statistical population consisted of all employees utilizing information systems within the company, totaling 3,200 individuals. A sample of 320 participants was selected using simple random sampling. Data were collected through a 32-item questionnaire developed by Mady et al. (2023). The proposed model was tested using SPSS version 26 and AMOS version 26. Findings indicated that knowledge breadth significantly influenced threat appraisal. Furthermore, knowledge depth and knowledge finesse significantly affected coping appraisal. Both threat appraisal and coping appraisal had a significant impact on protection motivation.
Finally, the mediating roles of threat appraisal and coping appraisal in the relationship between knowledge breadth, depth, and finesse with protection motivation were confirmed. As a result, continuous information security training—centered on psychological processes such as threat appraisal and coping appraisal—should be implemented to align employees of the National Iranian Drilling Company with security goals. Managers and decision-makers are encouraged to enhance employees’ protection motivation by developing structured programs that strengthen their information security knowledge—namely, knowledge breadth, depth, and finesse.
keywords: Information security, Protection motivation, National Iranian Drilling Company, Depth of knowledge, Psychological processes, Subtlety of knowledge, Breadth of knowledge.

Research Paper Information and Knowledge Management

Validation of Blockchain-Based Knowledge Management Model Using PLS Structural Equation Modeling

Articles in Press, Accepted Manuscript, Available Online from 13 October 2025

https://doi.org/10.22054/jks.2025.86800.1730

Amir Abbas Mohebbian, Mansour Esmaeilpour, Behrooz Bayat, Mehrdad Mohammadzadealamdari, Alireza Esfandiarymoghadam

Abstract This study aims to design and validate a model for implementing blockchain technology in organizational knowledge management and to examine the technological, organizational, and human factors influencing it. A mixed-methods, applied approach was adopted. In the qualitative phase, data were collected through semi-structured interviews with 25 experts in technology and knowledge management and analyzed using NVivo 12 and thematic analysis at three levels: basic, organizing, and global themes. The qualitative findings informed the initial conceptual model. In the quantitative phase, a researcher-developed questionnaire was administered to 425 employees from Jihad Daneshgahi, the General Directorate of IT in Hamedan Province, and five knowledge-based companies. Data were analyzed using IBM SPSS Statistics 26 and SmartPLS 4 through variance-based structural equation modeling (PLS-SEM). Results showed that the path from antecedents to blockchain applications (β=0.784) and from applications to knowledge outcomes (β=0.665) was significant at the 99% confidence level. Model fit indices (SRMR=0.061, NFI=0.91, GOF=0.57) were acceptable, and the R² values for “applications” and “outcomes” were 0.615 and 0.442, respectively. Findings indicate that technological infrastructure, organizational support, legal frameworks, and technological readiness are critical prerequisites, while successful blockchain implementation enhances transparency, trust, organizational memory, and knowledge-based decision-making. This research provides practical insights for managers and policymakers seeking to implement blockchain-based knowledge management systems.

Research Paper Information Storage and Retrieval

Assessing the Importance and Adherence to Digital Transformation Management Components in the Design of University Libraries

Articles in Press, Accepted Manuscript, Available Online from 22 October 2025

https://doi.org/10.22054/jks.2025.84804.1697

Mitra Samiei, Sarvenaz Takmilian

Abstract purpose: The current research was conducted with the aim of investigating the impact of governance and digital leadership on the design and architecture of libraries .Methodology: The current research method is based on the purpose of applied type. Based on the method of data collection, this research is of mixed type. In this research, qualitative data and then quantitative data were collected and analyzed first, and priority is given to the qualitative phase.
Findings: The findings showed that the variable importance of digital leadership on the design and architecture of libraries has an average of 4.250 and the importance of digital governance on the design and architecture of libraries with an average of 3.786 has an average above average. In terms of compliance with the variable of digital leadership on the design and architecture of libraries with an average of 3.436 and the variable of digital governance on the design and architecture of libraries with an average of 3.321, it was above average. The research showed that the average of digital leadership and governance components in the design of library spaces is higher than the average of the Likert spectrum. Also, the significance level is less than 0.05, which means that the difference between the obtained averages and the average level is significant.
Conclusion: The results of the research showed that the components of digital leadership and digital governance were of high or very high importance from the point of view of experts in all subjects.

Research Paper Information and Knowledge Management

Assessment Services of Iranian Academic Libraries in Relation to Upstream Documents of Science and Technology

Articles in Press, Accepted Manuscript, Available Online from 28 November 2025

https://doi.org/10.22054/jks.2025.88670.1744

Fariborz Doroudi, Reza Rajabali Beglou, Behrooz Rasuli

Abstract Objectives: The main purpose of this study is to examine the alignment of activities and services of the Ministry of Science, Research, and Technology libraries with the goals and Upstream Documents.
Methodology: The research method are documentary and survey. The research approach is quantitative. In the first method, i.e. the documentary one, the content of upstream documents were examined. In the second part of the research, i.e. the survey method, the services and activities of central libraries affiliated with universities in provincial centers were investigated using a researcher-made questionnaire.
Findings: The comparison between the types of library services and the comprehensive scientific map of the country shows that these services have been able to meet the goals of these indicators to an average extent. These main fields are related to components such as: combining education with training, research, and skills; and development of science, technology, and innovation; The level of knowledge and scientific development is appropriate. Regarding MSRT's program, library services need to be upgraded, especially in related fields of scientific and technological success at the national and international levels With considering new educational and research approaches.
Conclusion: Library services in connection with the activities the upstream documents of the educational and research field of the MSRT need to be strengthened and improved. Providing up-to-date information resources, using new technologies, developing new information services, expanding research services, utilizing expert librarians, and providing specialized educational programs are among the development programs of academic libraries.

Research Paper Knowledge Management

Analysis of the Impact of Knowledge Workers’ Participation on Enhancing the Performance of Knowledge-Based Companies in the IT Sector

Articles in Press, Accepted Manuscript, Available Online from 05 December 2025

https://doi.org/10.22054/jks.2025.85765.1716

Sepehr Kheybari, Seyyed Abdollah Salehnejad

Abstract This study was conducted in light of the importance of knowledge workers’ participation in enhancing innovation and productivity in knowledge-based organizations, with the aim of analyzing the impact of knowledge workers’ participation on organizational performance in knowledge-based companies operating in the field of information technology. The research was carried out using a descriptive–survey method. The statistical population consisted of employees of 18 knowledge-based companies in Tehran, from which a sample of 210 individuals was selected through proportional stratified sampling. Data were collected using the standard questionnaires of “employee participation” and “organizational performance” based on the Balanced Scorecard model. The validity of the instruments was confirmed by experts, and their reliability was evaluated as satisfactory. The data were analyzed using structural equation modeling and the partial least squares approach. The findings indicated that the participation of knowledge workers had a positive and significant effect on innovation, operational efficiency, and customer satisfaction in knowledge-based companies, and this effect was stronger in organizations with a decentralized structure. The results of the study suggest that developing participatory mechanisms and strengthening collective decision-making can lead to enhanced innovation, improved productivity, and increased customer satisfaction in knowledge-based IT companies.

Research Paper

Identification and Ranking of Barriers to Value Creation from Knowledge in Higher Education in Iran with a Mixed-Methods Approach

Articles in Press, Accepted Manuscript, Available Online from 25 December 2025

https://doi.org/10.22054/jks.2025.84869.1700

HamidReza Mahmoodi, Mohammad Hassanzadeh, Atefeh Sharif

Abstract This study identifies and analyzes barriers to knowledge value creation in Iran’s higher education system. Given its critical role in economic, social, and cultural development, the research examines individual, organizational, structural, economic, social, political, and technological barriers. The ultimate goal is to enhance knowledge value creation in universities. This research follows interpretivism and positivism paradigms using an exploratory mixed-methods approach. First, thematic analysis identified barriers, which were then ranked using the Analytic Hierarchy Process (AHP). The study's population includes students and faculty members in Iran’s higher education system, with a purposeful sample of 40 participants. Data were collected through in-depth interviews, and a hierarchical questionnaire facilitated pairwise comparisons of barriers. Infrastructural barriers (0.21) have the highest impact, followed by organizational (0.175), technological (0.145), individual (0.12), economic (0.095), political (0.085), social (0.08), and managerial (0.05) barriers. Key obstacles include weak university-industry collaboration, insufficient funding, lack of supportive policies, social inequalities, and gender and racial discrimination. Addressing these barriers is crucial for improving knowledge value creation in higher education. Enhancing university-industry collaboration, strengthening educational and research infrastructures, and aligning academic efforts with societal needs can significantly boost the higher education system’s role in Iran’s economic and social progress.

Research Paper

Structural Equations of Knowledge-Based Value Management and Organizational Sustainability (Emphasizing the Mediating Role of Employee Engagement)

Articles in Press, Accepted Manuscript, Available Online from 25 December 2025

https://doi.org/10.22054/jks.2025.85014.1702

HamidReza Mahmoodi, Mohammad Hassanzadeh, Atefa Sharif

Abstract In today's competitive landscape, knowledge-based value management is vital for enhancing organizational sustainability. This strategic approach utilizes existing knowledge to improve performance and create sustainable value, fostering long-term competitive advantage. This study employs structural equation modeling to explore the impact of knowledge-based value management on organizational sustainability, with employee participation as a key mediating factor.

Conducted through a positivist approach, the research involved both library and field studies, focusing on branches of the Tourism Bank of Iran. A sample of 165 participants was selected using simple random sampling based on Morgan’s table. Data collection utilized three questionnaires: Knowledge-Based Value Management (20 items), Employee Engagement (18 items), and Organizational Sustainability (18 items). Content validity was confirmed by experts, and reliability was assessed using Cronbach’s alpha.

Data analysis was performed using structural equation modeling (SEM), Pearson correlation tests, ANOVA, and regression analysis, with LISREL software for computations. Results showed that dimensions of knowledge-based value management—knowledge identification, auditing, value identification, and realization—accounted for 92% of the variance in organizational sustainability. A significant positive relationship was found between organizational sustainability and employee participation (r=0.938, p=0.000), as well as between knowledge-based value management and employee participation (r=0.935, p=0.000).

Path analysis indicated that these dimensions influence sustainability directly and through employee participation, which enhances mechanisms like collaboration and motivation. Thus, employee participation is crucial in mediating the relationship between knowledge-based value management and organizational sustainability, emphasizing the need for organizations to adopt this approach for sustainable growth.

Research Paper Information and Knowledge Theories

Analysis of researchers' scientific collaboration patterns with an emphasis on interdisciplinary interactions

Articles in Press, Accepted Manuscript, Available Online from 10 January 2026

https://doi.org/10.22054/jks.2026.90252.1757

Mojgan khoshnam, Zeinab Jozi

Abstract Attention to scientific collaborations, especially interdisciplinary collaborations, has been emphasized for many years. Iranian society is no exception to this, and the necessity of such studies has been repeatedly mentioned in research outputs. Therefore, the aim of this study is to examine the pattern of scientific cooperation between researchers and the extent of their interdisciplinary interactions. This scientometrics study is applied in nature. The statistical population ‌ including 4014 of articles published in 2022 and 2023 in fifty-seven publications in various fields such as humanities, art and architecture, technology and engineering, basic sciences, veterinary medicine, and agriculture in Iranian publications with the highest score from the Ministry of Science, Research, and Technology. Data analysis was conducted using Excel, Ravar Matrix, and VOS Viewer software. The findings revealed that the co-authorship network in six subject areas is formed based on small core groups and is dominated by interdisciplinary collaborations, with a small number of authors serving as the main axis of science production. Additionally, the pattern of the number of authors and the level of interdisciplinary collaboration is influenced by the nature of the disciplines. The highest level of interaction was observed between the disciplines of basic sciences, technology, engineering, and agriculture. The structure of scientific collaborations in Iran is not sufficiently diverse or extensive, with interdisciplinary collaborations having a small share, while globally, these collaborations are increasing. To promote interdisciplinary and inter-university collaborations, it is necessary to improve the infrastructure of scientific communication, strengthen sustainable research networks, and support policies.

Research Paper Intelligent Recovery Systems

Pathology of Iranian E-Reader Software Based on the Identification of Evaluation Criteria: A Delphi Approach

Articles in Press, Accepted Manuscript, Available Online from 24 February 2026

https://doi.org/10.22054/jks.2026.88042.1739

mahyar hamdami kashani, Zohreh Mirhosseini, saeed ghaffari, mohammadrahim rasoliazad

Abstract Purpose: The advancement of information and communication technologies and the capabilities of modern software have fundamentally expanded the use of various communication media across dimensions of form, time, and space, and have transformed the concepts of literacy, reading, and study. Among the major impacts of these technologies is the change in the nature of information resources from production to application. This study aimed to identify the evaluation criteria of Iranian e-reader software.
Methods: This applied and descriptive research employed a documentary method and the Delphi technique. The statistical population consisted of 30 experts and faculty members. Ten of the most widely used Iranian e-reader applications—identified based on the number of downloads on Google Play—were examined. Data were collected through a two-stage questionnaire. In the first stage, 115 evaluation criteria were presented as items to the Delphi panel. Following expert feedback, 82 criteria were approved and then re-distributed among the panel members in the second round. Data analysis was conducted using principal component analysis and chi-square tests in SPSS version 26.
Findings: The results revealed significant shortcomings across all examined components of Iranian e-reader software. These deficiencies highlight the necessity of developing strategies to enhance features and functionalities, improve accessibility, and foster user engagement and distinctive competencies.
Conclusion: The findings indicate that Iranian e-reader software faces critical challenges in all evaluation criteria. Sustainable improvement requires reliance on standardized evaluation measures. Implementing strategies for capability development, accessibility enhancement, and creating distinctive and engaging features is essential to meet user needs.

Research Paper

Prompt Engineering Literacy Assessment Questionnaire: Specifically Designed for Knowledge Workers in Higher Education

Articles in Press, Accepted Manuscript, Available Online from 24 May 2026

https://doi.org/10.22054/jks.2026.90210.1756

Elham Amani, Mehdi Alipour Hafezi

Abstract The present study is aimed at designing and validating a questionnaire for measuring the extent to which faculty members at Allameh Tabataba’i University use prompt engineering in employing artificial intelligence tools. A mixed-methods approach was adopted. In the qualitative phase, relevant literature and studies on prompt engineering were systematically reviewed in major international and national databases using inductive qualitative content analysis. 17 key principles of prompt writing were identified, forming the conceptual framework of the questionnaire. In the quantitative phase, based on these principles, the questionnaire was developed in two sections: demographic information and 40 items including closed-ended and open-ended questions. The face and content validity of the instrument were confirmed by three experts in artificial intelligence and information science. For reliability assessment, the questionnaire was pilot-tested among 30 faculty members, yielding a Cronbach’s alpha coefficient of 0/94, indicating excellent internal consistency. The findings revealed that the developed questionnaire possesses strong validity, high reliability, and comprehensive conceptual coverage. Therefore, it can serve as a reliable and practical instrument for assessing faculty members’ familiarity with and application of prompt engineering in the context of academic use of AI tools.

Research Paper Information and Knowledge Management

The role of Digital Divide, Technological Efficiency and Digital Resiliency on Artificial Intelligence Literacy in Teachers

Articles in Press, Accepted Manuscript, Available Online from 28 June 2026

https://doi.org/10.22054/jks.2026.91959.1766

jafar bahadorikhosroshahi, Leila Khalili

Abstract The purpose of this study was to investigate the role of digital gap, technological self - efficacy and digital resiliency on artificial intelligence literacy among teachers. the research method was descriptive and correlational. The population of the present study was all teachers of primary school in tabriz who were in the year 2025-2026, and 150 people were selected by random cluster sampling. To collect data, artificial intelligence literacy questionnaire (Rodríguez-De-Dios & et al, 2016), digital gap (Gupta & Srivastava, 2011), technological self - efficacy of Malaiei (2011) and Malaiei (2011) were used. Data were analyzed using pearson correlation coefficient and multiple regression analysis. The results showed that there is a positive and significant relationship between information literacy and digital gap, information literacy gap and access to information (P≥0.001). Also, there is a positive and significant relationship between artificial intelligence literacy and the ability of using tools and platforms, self - esteem in solving problems of innovation in using educational institutions and classroom management. finally, there is a positive and significant relationship between digital resiliency and artificial intelligence literacy. According to the results of the research, improving the knowledge literacy of teachers requires simultaneous attention to improving the availability of digital infrastructure and strengthening the individual abilities of teachers; therefore, reducing the digital gap in addition to professional empowerment programs with emphasis on increasing technological self - efficacy and digital resilience can play an effective role in the development of artificial intelligence in the educational system.

Research Paper Knowledge Management Systems and Technologies

The Impact of Service Value and Digital Interaction as Intangible Assets on User Experience: Explaining the Mediating Role of Perceived Ease of Use and Perceived Usefulness

Articles in Press, Accepted Manuscript, Available Online from 22 July 2026

https://doi.org/10.22054/jks.2026.90015.1755

masoud bakhtiari, saeed ghaffari

Abstract In the digital transformation era, technology–based services are considered significant intangible organizational assets that can enhance value creation and user experience in service institutions. This study aims to analyze the effect of service value and digital interaction as intangible capital on improving user experience in public libraries of Ilam Province, while explaining the mediating roles of perceived usefulness and perceived ease of use within the Technology Processing Model. The research is applied in purpose and descriptive–survey in method, using a correlational design. The statistical population consisted of active users of public libraries in Ilam, and based on Cochran’s formula, 380 participants were selected through multi-stage cluster sampling. Data were collected using standardized questionnaires, and construct, convergent and discriminant validity were confirmed. Cronbach’s alpha values above 0.70 indicated satisfactory reliability. Data analysis was conducted using SPSS25 and SmartPLS3.3.The findings demonstrated that service value and digital interaction have significant positive effects on user experience, perceived ease of use, and perceived usefulness. Moreover, mediating effects were confirmed, indicating that valuable services and effective digital interactions enhance user experience both directly and indirectly through improved perceptions of usefulness and ease of use. These results suggest that investment in digital service development and optimization of technological interaction can generate intangible returns, increase user satisfaction, and strengthen the experiential value delivered by Ilam public libraries. Therefore, enhancing intangible digital assets can be a strategic approach for improving service quality and advancing digital performance in public library management.

Research Paper Information and Knowledge Management

Knowledge Mapping of Decision Support Systems: Analyzing Research Trends, ‎Conceptual Structure, and Co-occurrence Network in Scientific Literature

Articles in Press, Accepted Manuscript, Available Online from 29 August 2026

https://doi.org/10.22054/jks.2026.92552.1771

Seyyed Hashem Qadami, Mohammad Hasanzadeh, Nadjla Hariri, Dariush Matlabi

Abstract Decision support systems (DSSs) have evolved from data- and model-based tools into ‎increasingly intelligent, knowledge-driven, and context-aware systems, yet the field still lacks an ‎integrated representation of its historical development, conceptual hierarchy, and relational ‎organization. This study mapped DSS knowledge from 1980 to 2025 by integrating systematic ‎review, descriptive bibliometric analysis, structured qualitative content analysis, and weighted ‎co-occurrence network analysis. After systematic screening and quality appraisal, 644 English-‎language publications were analyzed. Hierarchical coding revealed a multilevel conceptual ‎structure comprising major and subordinate themes, while network reconstruction identified a ‎broad set of interconnected active concepts. Decision-making processes and phases, DSS ‎components, and technical and operational applications formed the dominant conceptual axes. ‎The network was dense but structurally unequal, and null-model comparisons indicated that ‎high clustering was largely attributable to degree heterogeneity, whereas the Borgatti–Everett ‎core–periphery pattern remained stronger than its degree-preserving reference. Artificial ‎intelligence, machine learning, and explainability occupied comparatively peripheral positions, a ‎pattern more consistent with their relative novelty and specialized linkages than with limited ‎scientific importance. The study provides an integrated multilayer representation of DSS ‎knowledge connecting the knowledge core, application and deployment, foundations and ‎structure, and transformation and development, thereby offering a basis for identifying ‎conceptual gaps and directing future research.‎

Research Paper Information Storage and Retrieval

Analyzing the Central Role of Language in the Information Retrieval Process: From Semantics to Enhancing User Interaction and System Performance

Articles in Press, Accepted Manuscript, Available Online from 02 September 2026

https://doi.org/10.22054/jks.2026.91067.1759

naeimeh zarif ghasemian

Abstract Goal: This research aims to explore the central role of language in the information retrieval process. It seeks to analyze the impact of syntactic structures, semantic features, and language differences between users and search systems on the accuracy and relevance of retrieval results. The study aims identify language barriers in translating information needs search logic and propose solutions to enhance convergence between user language and information retrieval.


Method: The data for this study was collected through an-descriptive approach, analyzing 00 scientific and specialized documents from information databases. These documents were selected on scientific quality, topical relevance, content diversity criteria. They were thenatively and quantitatively analyzed using syntactic lexical, and semantic indicators.
Findings: The research results that clear syntactic structures and precise word in user queries enhance the accuracy of systems. A significant portion of searchefficiencies stems from the gap between user language and structured system language. analysis and bridging the gap between natural structured language are key factors in information quality. The findings also suggested that analysis in information retrieval can benefit from language perspectives and meaning application theory.
Conclusion: This study has that language is not only a tool for expressing information needs but also a fundamental in shaping, interpreting, and processing. Simultaneously considering the syntactic, semantic and contextual dimensions of queries and improving mechanisms between natural and search languages can enhance the accuracy and efficiency of retrieval.

Research Paper Information Storage and Retrieval

Compatibility of Schema.org with the Publishing Domain Based on ONIX (ONline Information eXchange)

Articles in Press, Accepted Manuscript, Available Online from 09 September 2026

https://doi.org/10.22054/jks.2026.91467.1763

faeze sadat tabatabai amiri, Sayyed Mahdi Taheri, Abdolhossein Farajpahlou, Shahnaz Khademizadeh

Abstract Objective:Schema.org has gained wide acceptance as a comprehensive standard for publishing structured data on the web. However,the general-purpose nature of this standard necessitates targeted enrichment to fully address thespecialized requirements of the publishing domain.A practical strategy for this enrichment involves establishing a mapping between Schema.org and domain-specific metadata standards such as ONIX,which has been explicitly designed for the publishing industry and commercial book distribution.This mapping, by identifying the representational deficiencies of Schema.org, paves the way for proposing lexical extensions aimed at enhancing its applicability in trade publishing.Accordingly,thisstudy aims to investigate the compatibility of Schema.org with the publishing domain based on the ONIX.
Methodology:The research employed a content analysis approach.The recording units comprised the classes and properties of Schema.org, while the semantic units consisted of the code lists of the ONIX.These code lists were systematically mapped against all Schema.org elements to identify corresponding and non-corresponding items.A checklist was utilized as the data collection instrument, and the data were gathered through structured observation.
Findings:Despite the divergent scopes and objectives of the two standards,which result in certain vocabulary mismatches,there exists considerable potential for interoperability.Schema.org lacks the comprehensiveness offered by ONIXin the commercial publishing sphere,indicating that this standard can serve as an efficient resource for enriching and augmenting the applicability of Schema.org within the publishing industry.
Conclusion:Aligning Schema.org with the ONIXenhances data integrity,semantic interoperability,and consistency across publishing workflows.This harmonization elevates the accuracy and reliability of semantic data publication,facilitates alignment with industry best practices,and ultimately strengthens the discoverability of published content within the SemanticWeb ecosystem

Research Paper Knowledge Management Systems and Technologies

Semantic Modeling of the Iranian Publishing Information Ecosystem Using a Knowledge Graph Approach: Identification and Analysis of Key Knowledge Nodes in the Book Production and Dissemination Process

Articles in Press, Accepted Manuscript, Available Online from 13 September 2026

https://doi.org/10.22054/jks.2026.93713.1778

monireh alaeimahabady, Fahimeh Babalhavaeji, Zahra Abazari, Fatemeh Noushinfard

Abstract Objective: Iran’s publishing information ecosystem, consisting of actors, institutions, information resources, processes, and technological infrastructures, plays a key role in the production, organization, dissemination, and consumption of knowledge. However, the lack of an integrated framework for explaining relationships among its components has limited understanding of its interactions. This study aimed to semantically model Iran’s publishing information ecosystem through a knowledge graph and identify key knowledge nodes influencing the flow of book production, organization, distribution, and consumption.
Methodology: This applied qualitative study employed the systematic grounded theory approach of Strauss and Corbin. Data were collected through semi-structured interviews with 20 publishing experts and stakeholders, selected through purposive and snowball sampling until theoretical saturation was reached. Data analysis was conducted in MAXQDA using open, axial, and selective coding. To strengthen validity, ten years of statistical data on Iran’s publishing sector were also examined. Extracted concepts, knowledge nodes, and semantic relationships were organized into a knowledge graph and modeled using Microsoft Visio.
Findings and Conclusion: The results showed that Iran’s publishing information ecosystem has a dynamic, networked, and multilayered structure comprising ten semantic clusters. Knowledge graph analysis revealed that publishing governance and policymaking, publishing economics, reading culture, and digital infrastructures have the greatest centrality and influence. The knowledge graph also demonstrated strong potential for representing semantic structures, revealing hidden relationships, identifying key nodes, and supporting data-driven policymaking and the development of intelligent publishing infrastructures in Iran.

Identification of the Components of Knowledge Management and Their Implementation : A Case Study of University of Kurdistan

Volume 2, Issue 5, Winter 2016, Pages 1-24

https://doi.org/10.22054/jks.2016.2695

Ghobad Ramezani, Jamal Salimi

Abstract Today, knowledge and intellectual wealth of organizations rank as one of the main advantages of competition and it is acknowledged that knowledge is, the heart of the global economy and this calls for the identification of the major factors guaranteeing success and the adoption of initiatives based on the about effective factors at different phases of the design and establishment of knowledge management system. The aim of this study was to identify the components of knowledge management and their implementation at the University of Kurdistan. The methodology applied is functional and descriptive survey. The statistical community consisted of the fellow members of staff at Kurdistan University in the academic years 1393-94. Techniques and questionnaire survey were used to collect data and analyze the data, descriptive and inferential statistics Sray and spss software and Lisrel were used. According to the results, there is a significant relationship between a more efficient implementation of knowledge management system and the components (information technology, the criterion of structural potentiality and institutional culture, management potentiality and the process of knowledge management).

Relationship between demographic factors The extent of knowledge management's implementation as viewed by the employees of Isfahan's oil refining company

Volume 2, Issue 4, Autumn 2015, Pages 67-86

Sepideh Dadakhah, Asefeh Asemi, Mohammadreza Abedi, Fereshteh Mashhadi

Abstract Purpose: The study aimed to examine the relationship between demographic factors and The extent of knowledge management's implementation as viewed by the employees of Isfahan's oil refining company.. Methodology: A survey-descriptive method was applied in this research and the The community being surveyed includes all employees of Isfahan Oil Refining Company. To determine the sample size, it was used the formula of sampling Cohen was used. Sampling method is random stratified sampling and the tool for collecting the research data was researcher-made questionnaires with the Likert scale. In this research to determine questionnaires reliability, it was used cronbach's Alpha coefficient (0.94) Was used.The analysis was performed on the received questionnaires. It used descriptive statistics i.e. frequency and mean; and in inferential statistics Two sample t-test, One-way ANOVA, and Pearson correlation coefficientWere used. Findings: The findings of the study indicated that the relationship between demographic factors and the extent of knowledge management's implementation as viewed by the employees of Isfahan's oil refining company, only in terms of gender there was a significant relationship. Conclusions: The results showed male and female employees have different perspectives about organizational and Infrastructure of technology, implementation of knowledge management in Isfahan Oil Refining Company and female employees in relation to organizational and technology infrastructure, implementation knowledge management are more optimistic and have a better attitude So in order to implement knowledge management on a large scale within an organization , liberal demographic attributes should be taken into consideration.

Identifying the Structural Model of the Relationship between Organizational Culture (Hofstede Model) and Leadership Styles (Hersey and Blanchard Model) with Knowledge Management in Faculty Members of Isfahan Islamic Azad University (Khorasgan)

Volume 10, Issue 34, Spring 2023, Pages 59-97

https://doi.org/10.22054/jks.2020.51757.1320

Abbas Ghaedamini Harouni, Reza Ebrahimzadeh Dastjerdi, Mehrdad Sadeghi, Majed Maharani Barzani

Abstract Introduction
One of the main challenges facing today's management is the development of organizational culture and leadership styles in which knowledge management is valued. Therefore, it is important to know the factors affecting knowledge management. Undoubtedly, knowledge management will have a great impact on the organization and employees. Knowledge management tries to introduce or strengthen knowledge as a high value in organizational culture, and knowledge management tries to introduce and strengthen knowledge in management styles, and the knowledge of managers and employees creates efficiency, effectiveness and productivity in On the other hand, the cultural dimensions of Hofstede's model have been used in various researches in the field of management and culture, and considering the role that cultural differences at the national and organizational level have on the capacity to absorb knowledge, the importance of Cultural factors affect the processes of knowledge absorption and transfer, and despite the research done, two theoretical deficiencies can be seen in this section, firstly, the role of organizational culture and leadership styles on knowledge management in Iran has not been thoroughly investigated, and secondly, in Most of the conducted researches, the organizational culture factor of Hofstede's model has not been investigated in detail, and thirdly, the subject of this research has not been done in cultural organizations, therefore, the main goal of this research is to investigate the effect of leadership style (Hersey and Blanchard's model) and organizational culture. Hofstede's model) is based on knowledge management. As the statistics show, 50% of the problems of implementing knowledge management are related to culture and human resources (Jalali et al., 2014) and in order to change and share knowledge among their members, organizations must have a capable leader to change the culture. (Heidari et al., 2013). Many researchers have examined knowledge management in organizations from different perspectives. For example, the influence of organizational culture (Park et al., 2010. Kumar, 2011. Voivora, 2013) and leadership style (Birouznoff, 2013, Bryant, 2003. Crawford, 2005) (knowledge management) has been investigated, but little research on organizational culture (Hofstede's model) and leadership style (Hersey and Blanchard model) has been conducted on knowledge management and in addition, most of the researches have been conducted in western countries and none of them have been conducted among the faculty members of universities, which doubles the necessity of conducting this research. Therefore, this research is conducted with the aim of determining the relationship between organizational culture (Hofstede's model) and leadership styles (Hersey and Blanchard's model) with knowledge management among the faculty members of Isfahan Islamic Azad University (Khorasgan).

Literature Review
Torabi and Alden (2017) in a research called the effect of knowledge management on the productivity of the organization: a case study they conducted in Kausar Bank of Iran concluded that the willingness of employees to share knowledge and, accordingly, the sharing of implicit knowledge had a direct effect on productivity. Shujahat et al. (2016) in a research entitled the effect of knowledge management on innovation with the mediating role of knowledge workers' productivity reached the conclusion that knowledge management had a positive effect on innovation with the mediating role of knowledge workers' productivity. Mohammad Zaki et al. (2016) in a research entitled The relationship between the leadership style of managers and the level of organizational learning among the employees of the National Accounts Court and with a descriptive method of correlation, they concluded that there was a significant relationship between the leadership style of managers and the level of organizational learning among the employees of the National Accounts Court and also The results showed that the amount of organizational learning of employees increases the closer they get from the authoritarian-exploitative leadership style to the collaborative style. The study conducted in America concluded that the leadership style and knowledge management had an effect on the acceptance of technology. Qurbani Azar et al. They made a correlation and concluded that there was a significant relationship between organizational culture and knowledge management. And among the components of organizational culture, individual creativity was more related to knowledge management. Crawford (2010) in a research entitled the relationship between knowledge management and transformational leadership, which he conducted with a correlational descriptive method, concluded that in this research, there was a meaningful relationship between transformational leadership, functional leadership, and freedom leadership with knowledge management.

Methodology
The current research is practical in terms of its purpose, because it deals with the application of the proposed variables to help knowledge management. On the other hand, the mentioned research is descriptive in terms of the method of collecting information, because it examines the effects of organizational culture and leadership styles on deals with knowledge management and examines the relationships between the mentioned variables in the form of structural equation modeling. The statistical population in the present study includes all the employees working in the faculty members of Islamic Azad University, Isfahan branch (Khorasgan) numbering 380 people. Including the sample size from Cochran's formula, 180 people have been estimated. In this research, a stratified sampling method proportional to the volume has been used.

Results
That the research hypothesis is confirmed at 95% confidence level. In the explanation of the hypothesis test, it should be said that according to the critical value of CR, which is more than 1.96 for the hypothesis, and the P value, which is less than the error level of 0.05, the research hypothesis is confirmed at the 95% confidence level. Therefore, organizational culture has a positive and significant effect on leadership styles, and organizational culture has a positive and significant effect on knowledge management, and leadership styles have a positive and significant effect on knowledge management.
Discussion
This research, which was conducted with the aim of investigating the relationship between organizational culture (Hofstede's model) and leadership styles (Hersey and Blanchard's model) with knowledge management among the academic staff members of Isfahan Islamic Azad University (Khorasgan), provides evidence of the role of organizational culture (model Hofstede's) and leadership styles (Hersey and Blanchard's model) were obtained by knowledge management among the academic staff members of Islamic Azad University, Isfahan branch (Khorasgan). Hersi and Blanchard) it was confirmed that there is a relationship with knowledge management among the academic staff members of Isfahan branch of Islamic Azad University (Khorasgan).

Conclusion
Findings from the present study are aligned with Hoshangi et al.'s research (2014) that organizational culture and leadership styles had an effect on knowledge management, and also with Mashbaki et al.'s research (2015) that leadership styles had an effect on knowledge management. It is direct and also with the research of Crawford (2010) that there was a meaningful relationship between transformational leadership, functional leadership and freedom leadership with knowledge management, and Boersox (2012) that leadership style and knowledge management had an impact on technology acceptance, and Mohammad Zaki et al. (2016) stating that there is an indirect alignment between the leadership style of managers and the level of organizational learning among the employees of the National Audit Office, and to explain this finding, it can be said that by strengthening and strengthening the organizational culture On the one hand, employees accept knowledge management more easily, and on the other hand, knowledge creation, knowledge sharing, knowledge application and knowledge storage are done more effectively in organizations. And on the other hand, they expressed leadership styles as agents of change. Because the organization must have a capable leader to change the culture in order to be able to change and to be able to accept and share knowledge in the organization among the members.

Introduction to Information Behavior of Postgraduate Students of Shiraz Islamic Azad University and Approach of them in Use of Humanities, Print and Electronic Resources

Volume 6, Issue 18, Spring 2019, Pages 83-108

https://doi.org/10.22054/jks.2019.39314.1214

Nahid Khoshian, Saeed Rezaii Sharif Abadi

Abstract Background and aim: The purpose of this research is to investigate the information-seeking behaviourof Shiraz Islamic Azad University postgraduate students, and how to prioritize and use of various information sources. The research also investigate the role of demographic characteristics in students information-seeking process, as well as use of various information
sources.
Material and methods: The research method is surveying. The population of the study consisted of 298 postgraduate students that randomly selected through classified ratio sampling method. A researcher made questionnaire was developed and after measuring its validity and reliability, distributed among the sample in person. Data were analyzed by using descriptive and inferential statistics and SPSS software.
Findings: The results show that the students use from the electronic, printed and humanities resources respectively for fulfilling information needs and updating information. Students believe that information and communication technologies have reduced their visits to libraries. Students seek help from librarians primarily to locate books and other documents and to search for information at the first stage. Students encounter a range of problems and barriers in their information-seeking process that the most important are the Lack of resources, Expensive resources and the scattered information.
Conclusion: Despite of the effects of new technologies on students’ presence in academic libraries, all types of information resources are still consulted by them.Various purposes for of information acquisition determines the type of information source, and students identify and use the information resources according to their information needs.

Knowledge Management Systems and Technologies

Identifying the Dimensions and Designing the Management Model of Knowledge Hiding Using Metacombination Approach

Volume 11, Issue 41, Autumn 2024, Pages 119-160

https://doi.org/10.22054/jks.2024.76765.1625

Abbas Ghaedamini Harouni, Mehrdad Sadeghi de Cheshmeh, Ghulam Reza Maleki Farsani, Elahe Musharraf Ghahfarakhi, Somayeh Shah Bandari Guchani

Abstract Introduction

The current research is different from these previous works in terms of volume, time period, method and analysis. First, the analysis is based on a meta-combination method, which allows rich data to be combined with fewer subjective or interpretive biases. Unlike the previous studies, concepts and dimensions, antecedents, consequences and strategies are examined. At the same time, a larger volume of articles has been examined. The current research completes the previous researches and provides a more objective report of the evolution of this research topic. Most of the researches have investigated some aspects and factors affecting knowledge hiding in organizations in a scattered manner. But clearly, a complete integration of existing researches in this field has not been done. Also, an integrated model that brings cause and effect relationships in the form of a conceptual model has not been edited. Therefore, taking into account the existing vacuum of research, an attempt has been made to provide coherence to the scattered researches in this field and provide researchers and managers with a summary of the studies conducted in this field. Considering the importance of knowledge concealment in organizations, this research seeks to provide a conceptual model of knowledge concealment in organizations through the metacombination method. Therefore, with all the factors mentioned above, the current study intends to answer the following questions: 1. What are the key components of knowledge concealment in organizations? 2. What is the conceptual model of knowledge concealment in organizations?

Literature Review

Knowledge concealment is defined as "an individual's deliberate attempt to conceal knowledge requested by another". Hiding knowledge is not always deceptive (Bari et al., 2019), employees may avoid sharing knowledge due to confidentiality. Although the reasoning behind such a decision may seem logical, it still limits access to knowledge (Xiong et al., 2021, Yuan, Yang, Cheng, & Wei, 2021). However, most efforts to facilitate knowledge transfer end without success, because employees are unwilling to share their knowledge (Mahmoud & et al., 2021). Researches show that hiding knowledge weakens social relations, creativity and innovation of employees and thus reduces the performance and achievements of the organization (Cerne et al., 2017). Also, it suppresses the absorption capacity and creativity at the team level (Fong et al., 2018). It is obvious that hiding knowledge is likely to reduce the efficiency of knowledge exchange among members, prevent the generation of new ideas/thoughts, or even destroy trust (Connelly & Kelloway, 2012). Hiding knowledge increases the risk of knowledge loss and inhibits the creativity of individuals and teams in the organization (Cern et al., 2014; Bogilovich et al., 2017). The consequences of knowledge concealment are quite alarming. For example, knowledge concealment fosters negative attitudes and behaviors, creates interpersonal mistrust (Arain et al., 2020), damages relationships (Connelly and Zweig, 2015), knowledge concealment reciprocity (Cern et al., 2014), the desire to leave the job (Ofirgilt et al., 2018) and creating deviant behaviors in the workplace (Singh, 2019). Reduction of positive work attitudes and behaviors and reduction of job satisfaction (Ofirgilt et al., 2018), reduction of self-efficacy (Arain et al., 2019), reduction of organizational citizenship behavior (Arain et al., 2020), reduction of creativity and innovative work behavior (Bogilovi´ c et al., 2020), and reduced performance (Singh, 2019). In this regard, it is necessary to solve the problem of insufficient knowledge sharing by eliminating knowledge hiding and facilitating knowledge transformation in organizations.

Methodology

The current research was conducted with a qualitative approach and due to the existence of many new documents in the field of knowledge concealment in organizations and the possibility of their combined analysis, a meta-composite qualitative research method was used. Metasynthesis is the combination of interpretations of the main data of selected studies. Data analysis in the current research was done based on the metacombination method based on the seven-step model of Sandelowski and Barroso (2007). The mentioned method includes the stages of setting research questions, systematic review of texts, searching and selecting suitable texts, extracting information from texts, analyzing and combining qualitative findings, quality control and expression of findings.

Results

The findings showed that 555 concepts, 155 subcategories and 25 main categories were extracted, which include causal conditions (organizational factors, individual factors, occupational factors, group factors and knowledge factors), background conditions (personality characteristics, work factors, technical and environmental factors), political factors and cultural factors), intervening conditions (emotional characteristics, emotional characteristics and social factors), strategies (leadership style, strengthening intelligence, strengthening interpersonal communication, strengthening organizational communication, strengthening performance, strengthening Islamic values, strengthening voluntary behaviors and implementation of knowledge management), consequences (occupational, group, organizational and individual).

Discussion

The present study showed that hiding knowledge is driven by different reasons at multiple levels. Regarding the multi-level nature of the antecedents of knowledge concealment and determining different ways to manage hidden knowledge in organizations, it enhances the understanding in the field of organizational behavior. Since the researches about knowledge concealment were strongly focused on the interdependencies of the perpetrator and the target due to mistrust and mutual behavior until now. Also, the present research showed that not only the antecedents of knowledge concealment are multifaceted, but also the consequences of this behavior. By integrating this insight into the organizational and management literature, the current research is related to the researches (Xiao and Cook (2019), de Garcia et al. (2022), Rezvan and Takahashi, 2021; Chern et al., 2014; Connelly and Clovey, 2003; Connelly and Zweig, 2015; Conley et al., 2013; Webster et al., 2008).

Conclusion

The present study integrates separate pieces of literature to explain why employees engage in knowledge concealment, thereby connecting disparate pieces of the knowledge concealment puzzle to develop a broader understanding of why employees engage in knowledge concealment. The present study provides a systematic review of knowledge hiding. This was done to identify conceptual patterns about knowledge hiding in organizations between 2012 and 2020 AD and 1391 to 1401 AD. This research is not without limitations. Databases such as Iran Doc, Iran Mag, Normagz, Comprehensive Portal of Human Sciences, Joishgar Alam Net, internal magazines, Google Scholar, Science Direct, Emerald were used as databases, and some other databases may not have been reviewed in this matter. As a result, this review may not cover the full spectrum of the scientific literature on knowledge hiding. In the future, to reduce publication bias, it would be interesting to include other databases to search for interesting texts, for example, work published in journals (ESCI). Second, research on knowledge concealment is emerging, and some researchers may argue that it is not yet mature enough to examine the research field.

The role of knowledge management and organizational creativity in human resources productivity (Case Study: shouthern Pars Gas complexes)

Volume 2, Issue 4, Autumn 2015, Pages 51-66

Fatemeh helaliyan motlagh, Mohammad Hassanzadeh

Abstract Aim: The aim of this study was to investigate the role of knowledge management and organizational innovation in human resources productivity. Methods: A descriptive survey research has been applied. Is applied. The study population comprised 300 employees of the South Pars Gas Complex. To collect the data in this study, questionnaires were used. The content validity of questionnaires was reckoned based on the views of some experts (managers and professors) were calculated and used to calculate the reliability of Cronbach's alpha coefficient was calculated for the entire questionnaire was calculated 098/0. Finally, to evaluate and compare the data, descriptive and inferential descriptive and inferential Kolmogorov-Smirnov test, correlation, regression analysis and Friedman test were used. Findings: there is a positive significant relationship between the aspects of knowledge management and organizational creativity with human resources productivity. The aspect of knowledge creation and innovation mechanisms interact most with human resources productivity. Moreover the aspects of knowledge, convictions and organizational atmosphere or ambience influence human resources productivity most. Finally, based on the ratings scale, the application of knowledge and qualification of human resources is of the utmost importance in human resources productivity. Conclusion: Organizations need to improve human resources in order to boost productivity and use manpower, mental abilities, Staff’s faculties for the production of goods and Rendering high quality services.

A Survey of the Impact of Information Technology Tools on the Implementation of Knowledge Management at Tejarat Bank

Volume 1, Issue 1, Winter 2015, Pages 73-90

https://doi.org/10.22054/jks.2014.248

Ghasem Azadi ahmad abadi, Zahra Azadi ahmad abadi, Akram Azadi ahmad abadi

Abstract Knowledge management is considered as a system of activities relevant to producing, compilation, and transferring knowledge. Purpose -The main role of information technology in knowledge management is facilitating of knowledge Above all what this paper is driving at is an assessment of the rate of the influence , the information technology tools have on the implementation of knowledge management at Tejarat Bank . The method applied has been a survey. Methodology-The research community consists of the experts of the mentioned bank (75 persons). The tools of data gathering were analyzed by a questionnaire containing 34 questions prepared by the statistical software SPSS. We applied descriptive-deductive statistical method and mono-sample test T to analyze the data. Findings-It is worth mentioning that the results of the analysis indicate that there is a significant relation between Information Technology Tools in the development and acquiring of knowledge, knowledge storage and processing, Sharing and application of knowledge .Conclusion -The use of information technology tools such as official automation, internet, email…considerably contribute to the better implementation of knowledge management process

Keywords Cloud