Knowledge Retrieval and Semantic Systems

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.‎

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.

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

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.