Research Paper
Evaluation of Information and Knowledge Retrieval Systems
Seyedeh Najmeh Halakoyan; Hassan Behzadi; Sholeh Arastoopoor
Abstract
Purpose: The present study aimed to investigate the impact of cognitive distortions on the information retrieval process. Methodology: This research is a survey study in terms of methodology. The statistical population consisted of postgraduate students, and a stratified random sampling method was used ...
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Purpose: The present study aimed to investigate the impact of cognitive distortions on the information retrieval process. Methodology: This research is a survey study in terms of methodology. The statistical population consisted of postgraduate students, and a stratified random sampling method was used to select 100 participants as the study sample. Data were collected using three researcher-made questionnaires. To confirm validity, the opinions of experts in the field of information retrieval were utilized, and confirmatory factor analysis was employed to validate the structural validity. Findings: The findings of the study revealed that users do not experience specific cognitive distortions during information retrieval. However, the extent of cognitive distortions employed by users varies before initiating the search and retrieval process, with the “magnification” distortion being more prevalent than others. During the search process, the application of cognitive distortions also varied among users, with the “magnification” distortion being the most frequently used. After the search and retrieval process, the extent of cognitive distortions differed as well, with the “overgeneralization” distortion being more prominent compared to others. Conclusions: The presence of certain cognitive distortions at various stages of information retrieval highlights the need for information retrieval system designers to pay attention to this area. The higher prevalence of cognitive distortions in the pre-search phase also indicates that information professionals should closely work with users and provide them with the necessary informational guidance.
Research Paper
Knowledge Management Systems and Technologies
جواد مقتدر کارگران
Abstract
Purpose:In the era of digital transformation, knowledge management is a vital organizational resource for enhancing decision-making, organizational agility, and intellectual capital. This study aims to design a localized framework for applying Generative Artificial Intelligence (GenAI) in knowledge management ...
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Purpose:In the era of digital transformation, knowledge management is a vital organizational resource for enhancing decision-making, organizational agility, and intellectual capital. This study aims to design a localized framework for applying Generative Artificial Intelligence (GenAI) in knowledge management within Iranian government organizations.Method:The research is applied–developmental, conducted through a qualitative approach using the Grounded Theory method. Data were collected via semi-structured interviews with 15 experts in knowledge management, information technology, and digital transformation from governmental agencies. Data analysis followed three coding stages—open, axial, and selective—using MAXQDA software.Findings:The analysis identified five core categories: (1) technological infrastructure, (2) generative knowledge quality management, (3) learning organizational culture, (4) data governance and AI ethics, and (5) feedback and continuous improvement systems. These categories form the proposed conceptual framework for GenAI-based knowledge management in government organizations.Conclusion:The proposed framework can help policymakers redesign knowledge management systems in public sector organizations by leveraging GenAI capabilities. Implementing this framework may enhance decision-making quality, increase organizational agility, and strengthen transparency.
Research Paper
Information and Knowledge Management
mahboubeh ghorbani
Abstract
In light of rapid technological advancements and growing user expectations, information organization has become one of the most challenging areas in the field of librarianship. This study aims to analyze best practices and successful global experiences in information organization, with the goal of offering ...
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In light of rapid technological advancements and growing user expectations, information organization has become one of the most challenging areas in the field of librarianship. This study aims to analyze best practices and successful global experiences in information organization, with the goal of offering practical strategies to enhance cataloging in Iranian libraries.This is an applied research employing a qualitative approach and thematic analysis method. Data were collected through documentary studies and content analysis of reports and implementation projects from leading international libraries and institutions in the field of information organization. The findings reveal five key categories of innovative practices: the development of metadata standards, the establishment of open data services, the implementation of linked data, the use of intelligent technologies, and user participation in metadata creation. The overarching theme identified is “transformation in information organization and accessibility in the digital environment”, reflecting a shift toward intelligent, automated, and user-centered systems. The results of this study can assist Iranian libraries in transitioning from traditional models to the adoption of emerging technologies and improving cataloging service quality. Proposed solutions include replacing traditional software with RDF-based systems, designing intelligent cataloging systems using machine learning, creating open APIs, developing crowdsourcing platforms, establishing publisher deposit systems, and launching a national “WikiLibrary” project. Additionally, developing a national knowledge graph, implementing structured markup, and localizing ISBD are recommended to enhance the interoperability, accuracy, and standardization of bibliographic data.
Research Paper
Semantic Web and Ontology
Razieh Farshid; Saeid Asadi; Davood Haseli; Azadeh Fakhrzadeh
Abstract
Due to the increase in digital images and easy access to digital cameras, imageprocessing and retrieval has become one of the most important research fields. Theaim of this article is to examine the research trend in ontology-driven image retrieval.The statistical population of this study is all research ...
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Due to the increase in digital images and easy access to digital cameras, imageprocessing and retrieval has become one of the most important research fields. Theaim of this article is to examine the research trend in ontology-driven image retrieval.The statistical population of this study is all research that has been indexed in theScopus database by the end of 2024, which is 716 works. Excel, Gephi, BibelExcel andSPSS software were used to analyze the data, and VOSViewer, Excel, and SPSSsoftware were used to draw the graphs. The results showed that the keyword ‘imageretrieval’ is in the first place with a frequency of 572. A co-occurrence analysis led tothe formation of six clusters and the hierarchical diagram of four thematic clusters wasformed. It was concluded that scientific maps are a suitable method for displaying. theincreasing growth of scientific activities and organizing the intellectual and scientificstructure that constitutes a thematic domain.
Research Paper
Information and Knowledge Management
ٖGolnessa Galyani-Moghaddam; Hosein Tavakoli; Reza Maleki
Abstract
In this study, the feasibility of establishing knowledge management with an Asian productivity approach in Islamic Publicity Organization was discussed. The main purpose of this study is to determine the possibility of establishing knowledge management in Islamic Publicity Organization with the approach ...
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In this study, the feasibility of establishing knowledge management with an Asian productivity approach in Islamic Publicity Organization was discussed. The main purpose of this study is to determine the possibility of establishing knowledge management in Islamic Publicity Organization with the approach of the Asian Productivity Organization (APO). The research method is descriptive survey and applied research. A standard questionnaire was used to collect information related to the assessment of the status of knowledge management implementation. Given that the aforementioned questionnaire has been standardized by the Asian Productivity Organization, its validity and reliability have been confirmed and there is no need to re-evaluate its validity and reliability. The questionnaire includes seven criteria. In the stage of collecting information about the background and theoretical foundations of the research, library studies have been used. The instrument used in this study is the Asian Productivity Organization Knowledge Management Readiness Questionnaire. The statistical population of this study includes all experts and specialists of Islamic Publicity Organization. The sample size in this study was determined using the counting method, which is done by 131 persons. According to the results of the questionnaires, the score of the Islamic Publicity Organization is the sum of the scores of seven indicators of leadership (15.51%), process (15.51%), people (14.54%), technology(17.57%), knowledge processes (15.27%), learning and innovation (15.27%) and knowledge management results (14.34%), 107.49 was obtained which shows this score The level of readiness of the Islamic Publicity Organization in the field of knowledge management is at the beginning level.
Research Paper
setareh parian; Mohammad Hassanzadeh; Atefeh Sharif
Abstract
This research is an applied and quantitative studies. Data were collected using documentary and survey methods and random sampling. The statistical population of this study consists of 30 employees of the Novin Daneshpajoohan Institute, but due to the small number of these people and at the discretion ...
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This research is an applied and quantitative studies. Data were collected using documentary and survey methods and random sampling. The statistical population of this study consists of 30 employees of the Novin Daneshpajoohan Institute, but due to the small number of these people and at the discretion of the supervisor, sampling was not performed. Questionnaire questions were used according to the Likert scale of five options, and the standard knowledge management questionnaire of Sharon Lawson (2003) was used. The validity of the questionnaire was evaluated and confirmed by professors specializing in this field, and the reliability of the questionnaire was evaluated with Cronbach's alpha coefficient (0.871). SPSS software was used to analyze the data and pls software was used to fit the model and present a suitable model. Statistical-descriptive methods, mean, standard deviation were used. According to the results of Pearson test, it was found that the significant level of competitive advantage with the components of knowledge management, including knowledge creation, knowledge acquisition, knowledge storage, knowledge dissemination and knowledge application is less than 0.05, and all have Communication is meaningful. According to the findings of structural equations, it was found that the value of t-statistic of all hypotheses is more than 1.96 and all components of knowledge management have a significant relationship with competitive advantage. Also, according to Q2, SRMR, NFI and GOF indicators, the model has a good fit.According to the present results, it seems that knowledge management has been considered as important components.
Research Paper
Knowledge Management
Abbas Ghaedamini Harouni; Mehrdad Sadeghi; Zahra Sadeghi de cheshmeh; Ghulam Reza Maleki Farsani
Abstract
The purpose of this study was to investigate the impact of transformational leadership on opening up for change through innovation and organizational learning. The present study was applied in terms of purpose and correlational in terms of how to collect descriptive information. The statistical population ...
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The purpose of this study was to investigate the impact of transformational leadership on opening up for change through innovation and organizational learning. The present study was applied in terms of purpose and correlational in terms of how to collect descriptive information. The statistical population of the present study consisted of all faculty members of the Islamic Azad University, Isfahan Branch, numbering 380 people. Olivier (2000) and Miller et al. (2009) Openness Questionnaire; Ismail et al. (2002) Organizational Innovation Questionnaire; Structural equation modeling was performed on the results of the study showed that transformational leadership through organizational learning has a positive and significant effect on openness to change, which is a coefficient of 0.45, and through organizational innovation on openness to change has a positive effect. It is significant that the coefficient of this effect is 0.44 and also the transformational leadership has a positive and significant effect on the openness to change, the coefficient of this effect is 0.66.
Research Paper
Knowledge Management
Reza Maleki; Mahdi Alipour-Hafezi; Sahar Yaghouti Pileroud
Abstract
Introduction
In today's competitive landscape, knowledge is recognized as a critical organizational asset and a key driver of success. Consequently, many organizations invest significantly in Knowledge Management (KM) initiatives. However, the success of these initiatives is not guaranteed by technology ...
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Introduction
In today's competitive landscape, knowledge is recognized as a critical organizational asset and a key driver of success. Consequently, many organizations invest significantly in Knowledge Management (KM) initiatives. However, the success of these initiatives is not guaranteed by technology alone; it is profoundly dependent on establishing a supportive organizational culture. While KM rests on three main pillars technology, processes, and people the human and cultural factors are paramount. A primary obstacle to KM implementation is the tendency for knowledge hoarding, driven by the belief that "knowledge is power." Therefore, fostering a "Knowledge Culture" an environment where creating, sharing, and utilizing knowledge are valued and encouraged as natural behaviors is essential. Experts like Liebowitz and Chen assert that up to 80% of KM success is attributable to people and culture.
The challenge for organizations is not merely implementing KM systems but cultivating this underlying culture. Changing organizational culture to embrace knowledge is often cited as one of the most difficult aspects of KM. Without a deep understanding of the factors that shape a knowledge culture, efforts to implement KM risk failure, leading to wasted resources and employee resistance. This study addresses this critical gap by aiming to systematically identify and prioritize the key factors that influence the development and sustenance of a knowledge culture within organizations. By doing so, it seeks to provide a robust framework to help organizations assess their cultural readiness and strategically enhance their knowledge environment.
Literature Review
Knowledge Management infrastructure is commonly conceptualized through models like Becerra-Fernandez's, which identifies three core components: technology, processes, and people. The "people" layer, encompassing culture, is consistently highlighted as the most critical. Knowledge culture is understood as a specific subset of organizational culture. It is defined as a way of organizational life that enables and motivates people to create, share, and utilize knowledge for the benefit and sustained success of the organization. It reflects the organization's values, beliefs, and behaviors concerning knowledge. Scholars such as Davenport and Prusak, and De Long and Fahey, have emphasized the inseparable link between culture and KM, noting that culture dictates what knowledge is valued, defines the relationship between individual and organizational knowledge, and shapes the social interactions through which knowledge is shared.
Given its importance, numerous studies have explored the factors influencing knowledge culture, though often in a fragmented, case-specific manner. Research by authors like Pahlavani et al. pointed to factors such as information systems, people, processes, and reward systems. Khairandish and Abtahi identified participation, learning, trust, and knowledge leadership. Studies by Niknam and Jafari, utilizing the Sarros et al. organizational culture profile, found significant correlations with KM and factors like performance orientation, competitiveness, and supportiveness. International research, such as that by Oliver and Kandadi, used case studies to identify ten major factors, including leadership, communication, and reward systems. Al-Alawi et al. highlighted trust, communication, and information systems as critical for knowledge sharing.
While these studies provide valuable insights, a comprehensive synthesis that consolidates these findings and provides a generalizable, prioritized list of factors remains absent from the literature. This research addresses this gap by employing a systematic meta-synthesis approach to integrate the findings of previous qualitative and quantitative studies.
Methodology
This applied research was conducted using a qualitative approach and employed the meta-synthesis method. Meta-synthesis is a systematic approach for integrating findings from multiple qualitative studies to develop a more comprehensive and holistic understanding of a phenomenon. This study specifically followed the seven-step model proposed by Sandelowski and Barroso. The research process began with formulating the primary research question regarding the factors affecting knowledge culture in organizations. Subsequently, a systematic literature review was conducted. Key Persian and English scientific databases were searched using keywords such as "knowledge culture," "knowledge-based culture," "organizational culture in knowledge management," and their Persian equivalents. In the initial screening, 95 studies were selected based on title relevance. After reviewing the abstracts, this number was refined. A final, in-depth content analysis of the full texts resulted in the selection of 24 highly relevant primary studies for the meta-synthesis. From these selected studies, data on the factors influencing knowledge culture, along with study characteristics, were extracted and coded. The extracted codes were then analyzed, compared, and synthesized into broader thematic categories representing the key factors. Finally, to prioritize these factors, they were scored based on three indicators: frequency of occurrence across the studies, recency of the studies, and the factor's direct relevance to knowledge culture, organizational culture, and knowledge management.
Results
The meta-synthesis of the 24 selected studies led to the identification of 47 distinct factors that influence knowledge culture in organizations. These factors encompass a wide range of organizational dimensions, from leadership and strategy to individual behaviors and technological infrastructure. Examples include leadership, trust, reward systems, communication, organizational structure, learning, and information technology. To determine the most critical factors, each of the 47 factors was scored based on frequency, recency, and relevance. This prioritization process revealed that 11 factors stood out as having the most significant impact. Topping the list with the highest score was Reward Systems, followed closely by Education, Learning, and Empowerment. Supportiveness and Trust secured the next positions, underscoring the importance of a safe and encouraging environment. Creativity and Innovation, along with Communication, formed the next tier of highly influential factors. Performance Orientation, Stability, and Competitiveness followed, all achieving identical scores that reflect their consistent, albeit slightly less frequent, mention in the literature. Leadership, while often considered paramount, ranked tenth in this specific prioritization, suggesting its influence may be channeled through other factors. Finally, Information and Communication Technology, though essential as an enabler, ranked eleventh, confirming the consensus that technology is a necessary but insufficient condition for KM success.
Discussion
The findings of this meta-synthesis provide a consolidated and prioritized framework for understanding the drivers of knowledge culture. By integrating results from 24 previous studies, it moves beyond single-case insights to offer a more generalizable model. The top-ranked factor, Reward Systems, underscores the fundamental principle that behavior is driven by incentives. Organizations seeking to promote knowledge sharing must align their reward structures to recognize and reinforce such behaviors, moving away from traditional systems that may inadvertently reward knowledge hoarding. The high priority of Education, Learning, and Empowerment highlights that a knowledge culture is not a static state but a dynamic process requiring continuous development. Employees need not only the skills to manage knowledge but also the autonomy and motivation to do so.
This is closely linked to Supportiveness, which implies a managerial and organizational environment that encourages experimentation and views mistakes as learning opportunities. Trust, another top-tier factor, is the social glue that enables open communication and sharing, as without it, employees are unlikely to share their valuable knowledge. Interestingly, while Leadership is often cited as paramount, its ranking suggests that its influence might be channeled through more direct mechanisms like creating supportive structures, building trust, and establishing effective reward systems. The position of ICT confirms that the cultural and human elements are the true differentiators in fostering a successful knowledge culture.
Conclusion
This study successfully identified and prioritized 11 critical factors that significantly influence the development of a knowledge culture in organizations. The findings offer a robust, evidence-based framework for both researchers and practitioners. For managers, this prioritized list provides a clear diagnostic tool. Organizations can assess their current standing on these 11 dimensions to identify strengths and weaknesses, enabling a more focused and strategic approach to fostering a knowledge-conducive environment. By addressing these core factors starting with reward systems, learning opportunities, and building trust organizations can significantly enhance their readiness for successful KM implementation, thereby improving innovation, performance, and competitive advantage. This research contributes to the field by synthesizing fragmented knowledge into a cohesive and prioritized model, offering a foundation for future research to empirically test and refine these relationships in various organizational contexts.
Acknowledgment
The author would like to thank all the researchers whose valuable work formed the basis of this meta-synthesis, and all those who provided support and guidance throughout this study.
Research Paper
Evaluation of Information and Knowledge Retrieval Systems
Mohammad Ebrahim Samie; Farnoosh Barati
Abstract
Purpose: The purpose of this research is to study the effect of knowledge management on the performance of technology commercialization with mediating role of organizational innovation in Sepahan Battery Company.Methodology: The current research is a survey research in which a standard questionnaire ...
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Purpose: The purpose of this research is to study the effect of knowledge management on the performance of technology commercialization with mediating role of organizational innovation in Sepahan Battery Company.Methodology: The current research is a survey research in which a standard questionnaire was used to collect data. The statistical population of this article is the employees of the commercialization unit of this Company with about 100 people. By distributing the questionnaire among 80 of them, 70 questionnaires were returned for statistical analysis. The questionnaire contains 32 questions as many as the explanatory indicators of the research structures. To check the validity (convergent and divergent validity), the structural equation technique, partial least square method, and three criteria of factor loading coefficients, Cronbach's alpha and composite reliability were used to check the reliability of the questionnaire.Findings: Examining the results of the research using the structural equation modeling technique using the partial least squares method showed that knowledge management has a significant effect on organizational innovation with a value of 0.508. Knowledge management has a significant effect on technology commercialization performance with a value of 0.345. The mediation of organizational innovation in the knowledge management relationship has a significant effect on technology commercialization performance with a value of 0.373.Conclusion: The survival and the creation of a sustainable competitive advantage for this company depends on the continuous improvement of organizational knowledge management, providing a platform for creating and applying organizational innovations, and as a result, improving the performance of technology commercialization.
