بازیابی دانش و نظام‌های معنایی

IntroductionAlthough in recent years and in the current conditions, knowledge management has become an important and vital issue for the success of organizations, and attention to it has increased by a wide range of activists in this field as well as the librarian community, knowledge management has not yet been systematically and widely implemented and used in libraries, and there is little agreement among some librarians regarding knowledge management (Gandhi, 2004); however, most managers and librarians agree that the use of knowledge management in libraries improves performance and enhances library services. Scientific communities believe that the power of knowledge in organizations can lead to long-term competitive advantages. In other words, successful organizations have realized that knowledge is their most important asset and that some of the basic principles of knowledge management exist in the organization's human resources, so they view knowledge management as one of the vital factors in the success of the organization. In this regard, many factors are closely related to knowledge management, and organizational wisdom is considered an important factor in the organization's performance and enables the best possible realization of knowledge management goals. Effective and efficient use of knowledge leads to the formation of wise organizations, but this requires innovative application of knowledge by organizations. Accordingly, educational organizations should simultaneously train knowledge, skills, efficiency, and utilization of knowledge to strengthen their potential abilities and talents. Therefore, organizational wisdom is the most important ability to realize this (Estifaei, 2014). Organizational wisdom is a concept that refers to the acquisition of knowledge that is achieved through the use of humans, computers, and other tools, and focuses on knowledge that is related to the organization's activity environment (internal and external) (Vazifeh Doost & Ghasemi, 2008).Literature ReviewOne of the most important reasons that has led organizations to show interest in the subject of knowledge management is that knowledge management increases productivity, strengthens collaboration, the emergence and growth of innovation, encourages and innovates, accelerates the flow of knowledge transfer, facilitates information sharing among employees, prevents duplication of work, increases the organization's ability to deal with the phenomenon of information inflation, collects and stores information, and improves the quality of service delivery and organizational performance (Haraj Hassanabadi & Mozaffari, 2017). In fact, knowledge management means creating the necessary processes to identify and absorb the data, information, and knowledge needed by the organization from the environment and transfer it to individuals for the purpose of decision-making and taking appropriate internal and external actions in the organization (Muñoz & Galende, 2017). Given the importance of the role of organizational wisdom and innovation in knowledge management and the relationship between them and the value of knowledge management in libraries, it is important to be aware of the predictive power of organizational wisdom in the knowledge management process, as well as the mediating role of innovation in the relationship between wisdom and organizational wisdom and the knowledge management process of public libraries in Qom province, which is the subject of this study.MethodologyThe present study is a descriptive study in terms of its purpose and was conducted using a correlational method. The variables of the present study are innovation; organizational micro-organization, knowledge management, and its dimensions. Also, gender and education level constitute the demographic variables of the present study. The statistical population of the present study consisted of all specialist and non-specialist librarians who were working full-time in public libraries in Qom province at the time of the study. Based on the statistics obtained, the number of full-time librarians working in public libraries in Qom province was 112. To collect information through a questionnaire, the simple random sampling method of this study was used. The sample size was determined using the Cochran formula as 86 people. After sending and distributing the questionnaires and with the efforts and follow-ups of the researcher, 80 completed questionnaires were collected.ResultsThe findings showed that organizational wisdom was a significant predictor of the knowledge management process among the participants of the study (Hypothesis 1). However, it is possible that other possible factors may intervene, the identification of which could help the growth and progress of organizations, especially public libraries in Qom province. The results showed that innovation was a significant predictor of knowledge management among librarians in public libraries in Qom province (Hypothesis 2). Therefore, considering the importance and role of innovation in knowledge management, it is suggested that in hiring new people in public libraries in Qom province, attracting and selecting creative people with special skills should be considered by those involved in human resource selection for public libraries. The research findings also showed that there was a positive and significant relationship between organizational wisdom and innovation (Hypothesis 3). Therefore, it is recommended that public library managers in Qom province try to correctly and efficiently manage and identify organizational wisdom, which is an unlimited source of intellectual capital, in order to increase the flexibility of libraries in adapting to local and national needs and to provide and promote the necessary conditions for creating knowledge management, organizational learning, and the ability to generate ideas, and innovate. Other results showed that the overall score of organizational wisdom predicts knowledge management and innovation. However, innovation did not play a mediating or interventionist role in the relationship between organizational wisdom and knowledge management (Hypothesis 4).DiscussionLibrary staff or public library librarians, most of whom are graduates of information science and knowledge studies, become familiar with courses such as library management, management information systems, information and communication technologies, information software, and communication theories, etc. during their education, which prepares them to provide better services to users. In addition, the fact that librarians are surrounded by a multitude of information sources and an information environment inevitably makes most of them people who are fond of reading and leads them to share knowledge, provide information services to others, and help people in need of information. They will also know that if they do not keep their clients satisfied, their organization will not be successful. Therefore, they make decisions as a group for the survival and sustainability of their organizations, and provide the resources needed by the patrons, which are all examples of organizational wisdom. In this regard, and considering what has been said, the current results regarding the state of organizational wisdom among librarians in Qom province libraries can be attributed to such factors. The results of the present study are consistent with the results of Rashidi & Karani (2016), Hariri & Taremi(2012), Tahmasebi & Akbari(2010).ConclusionAlthough the present study was able to provide more and more necessary research evidence for the triple role and relationship between knowledge management, organizational wisdom, and innovation, and the predictive role of innovation and organizational wisdom in the knowledge management process, it was unable to provide the necessary research evidence for the interventionist role of innovation in the relationship between organizational wisdom and knowledge management, an issue that should be further addressed in future research.

IntroductionInformation protection is one of the most important issues in human history, culture, and economy. In the past, information was recorded in the form of engraving and writing on stone, ceramics, papyrus, wood, etc., but with the evolution of human civilization, the way to the emergence of new storage media and ways to record information was paved. A sudden change in the field of information storage with the invention of electronic storage media, including all types of disks, audio tapes, magnetic tapes, CDs, etc. V. Days, etc. took place. With the advent of high-speed networks and computers with high-performance quality (large memory and high processing speed), the use of technologies increased rapidly. These technologies enable libraries to easily produce, process, locate, store, and disseminate their information, as well as guarantee long-term protection of stored information and permanent access to that information (Samiei, 2016). With the rapid development of cloud computing, cloud storage and other information technologies, libraries and digital resources increasingly enable users to remotely access a wide range of distributed information resources, regardless of physical storage conditions (Zhu and Du, 2018). Cloud computing reduces the costs of using technology in libraries and expands the capacities and ability to use tools. Integration of resources and information in one space, speed, flexibility, providing services with the possibility of control and measurement, supply based on demand, access to a wide network (Shehzad, 2014), changing the shape of education, expanding cooperation, and most importantly reducing risk and increased security (Boyer & Arste, 2014) is one of the benefits of cloud computing for digital libraries. The present study was conducted with the aim of identifying the views of managers and librarians of Allameh Tabataba’i University libraries regarding digital protection in the cloud environment.Literature ReviewThere are new mechanisms in digital libraries that can be used in the field of digital protection to improve the security of digital resources, and one of these mechanisms is cloud computing. Cloud computing is a model for easily providing a type of network access based on user needs from a shared repository that is derived from configurable computing resources. Examples include networks, servers, applications, and services that are rapidly provisioned and available with minimal management effort and service provider interactions. In the studies that were conducted in the field of the role of cloud computing in library services, including the researches of Fermanlolilab (2015), Sepehr et al. (2015); Sadeghi (2016); Haddad Oskoui (2016); Ghazizadeh et al. (2017); Gabajeh (2011); Sosa-Sosa & Hernandez Ramiz (2012); Oliver & Knight (2015); Corrado & Molaison (2015); Yuvaraj (2016); Spence et al. (2019); Anuyako et al. (2019) and Shawvedi Sarkar (2020) found that the use of cloud computing facilities is effective in reducing costs, increasing productivity and communication. However, the categories of threats and information security are concerns related to the use of cloud computing in libraries. Also, in this regard, concerns about data ownership, portability and cloud portability, and in general, issues related to digital protection are the main bottlenecks in the adoption of cloud technology in digital libraries.MethodologyThe present study is applied in nature and with a descriptive survey method in two stages. In the first stage, by reviewing the texts of a researcher-made questionnaire with five components: "introduction to the concepts of digital preservation in the cloud", "trust and security of digital preservation in the cloud", "technological infrastructure of digital preservation in the cloud", "organizational status of digital preservation in the cloud environment "and "barriers and challenges of digital preservation in cloud" were prepared and provided to the administrators and librarians of Allameh Tabataba'i University libraries for a survey. This questionnaire was designed on a five-point Likert scale and its reliability was 0.852 using Cronbach's alpha. In the second stage, the collected data were analyzed based on descriptive statistics (mean, median, standard deviation, and variance) and one-sample t-test. Friedman test was also used to rank the factor of "possible challenges and barriers".ResultsThe findings showed that the majority of the participants were moderately familiar with the concepts related to digital protection in the cloud environment. Also, from the point of view of managers and librarians of Allameh Tabataba’i University libraries, "the state of trust and security of data in cloud environment protection" and "the availability of technological infrastructure for cloud environment protection in the university" are at a favorable level (p>0.05 -the amount of). The "organizational state of the university for protection in the cloud environment" is at an average and relatively favorable level, and the "knowledge and awareness necessary for protection in the cloud environment among librarians" is at a relatively unfavorable level (p-value < 0.05). On the one hand, from the point of view of the managers and librarians of the libraries of Allameh Tabataba'i University, the most important obstacles and possible problems of protection in the cloud environment, "the risk of return of investment is one of the problems of using the cloud environment for digital protection", "the unaffordability of using the cloud environment is one of the problems using it for digital protection" and "unaffordability of training costs were one of the problems of using the cloud environment for digital protection".Discussion Regarding the familiarization of library managers and librarians with the topics of digital protection in the cloud environment, it seems that the use of new technologies such as cloud computing in libraries requires more familiarity of managers and librarians with such technologies. Familiarity with the activities that take place in such environments will provide a suitable platform for accepting this technology and using it. In general, the respondents' level of familiarity with the issue of digital protection in the cloud environment was moderate. In the researches of Farmanlou Lilab (2015) and Vivaraj (2016), the application of cloud computing in university libraries was discussed and the relatively good level of familiarity of the employees with cloud computing was pointed out, which is consistent with the results of the present study.Conclusion The results showed that managers and librarians of Allameh Tabataba’i University libraries were moderately familiar with issues related to digital protection in the cloud environment. According to the participants, the state of trust and security of data in cloud environment protection, the availability of technological infrastructure for cloud environment protection in the university at an optimal level, the university's organizational situation for cloud environment protection at a relatively favorable level, and the librarians’ necessary knowledge and awareness for protection in the cloud environment were at a relatively unfavorable level. Also, the obstacles and challenges facing digital protection in the cloud environment were approved by the respondents.

1.IntroductionUniversities play a pivotal role in advancing knowledge and fostering societal progress. However, their ability to align research with real-world challenges remains a critical global concern. In Iran, this issue is particularly pressing. Despite significant achievements in quantitative scientific output, ranking 15th and 16th globally in Scopus and Web of Science in 2022, Iranian research often fails to address pressing national problems. This paradox highlights systemic inefficiencies, including institutional misalignment, fragmented innovation ecosystems, and policies prioritizing publication metrics over societal impact. National frameworks, such as Iran's Fifth Development Plan (2010), emphasize the need to direct research toward addressing societal needs, yet implementation gaps persist. This study examines the institutional, organizational, environmental, and individual barriers that prevent Iranian universities from translating academic research into practical solutions, aiming to propose reforms that bridge the gap between scholarly output and societal relevance. Based on this framework, the present study, considering the aforementioned challenges and issues in academic research and its qualitative development about society and its needs, seeks to answer the following key question:2.Literature ReviewThe disconnect between academic research and societal needs has been widely debated in global scholarship. Universities worldwide are increasingly encouraged to adopt a "third mission" focused on social responsibility, integrating community engagement and problem-solving into their core activities. Scholars such as Jones et al. (2021) argue that universities must evolve from isolated knowledge producers to active contributors to societal development, emphasizing collaborative frameworks that connect academia with industry and policymakers. In emerging economies, this challenge is exacerbated by structural barriers, including rigid funding models, bureaucratic inertia, and a lack of institutional incentives for applied research. In Iran, studies critique the predominance of "scientific formalism," where procedural rigor and publication metrics overshadow practical relevance. Researchers like Shafiei et al. (2020) highlight the disconnect between academic output and industry demands, attributing it to weak collaboration mechanisms and a cultural preference for theoretical over applied studies. Similarly, Ghoreishi et al. (2021) identify systemic flaws in promotion policies that reward quantity (e.g., article counts) over quality or societal impact, discouraging faculty from undertaking time-intensive, problem-driven projects. Farastkhah (2016) further critiques the erosion of universities’ core mission—science for societal advancement—due to bureaucratic pressures and misaligned institutional priorities. Globally, similar trends exist. For instance, Shaffer et al. (2018) note that academic systems prioritizing high-impact journals often neglect local problem-solving, while Makhatini et al. (2022) highlight demand-supply mismatches in innovation ecosystems. Existing literature, however, tends to focus on isolated challenges (e.g., funding or industry collaboration) rather than systemic analyses. This study addresses this gap by taking a holistic approach to examining multidimensional barriers that hinder impactful research in Iran.3.MethodologyIn the study, a qualitative research design by content analysis was used to investigate the challenges of academic research in solving Iran's issues. Semi-structured interviews were conducted with 16 Iranian expert academics who are senior faculty members, research directors, and policymakers. The participants were selected according to purposive sampling because of their experience in applied research. Data collection stopped when theoretical saturation had been achieved, with interviews taped and analyzed through Granheim and Lundman's (2004) inductive content analysis approach. This included the identification of meaningful units, coding for emerging themes, and categorizing results under institutional, organizational, environmental, and individual problems. Rigor was ensured through triangulation, member-checking, and peer-checking, with ethical considerations being the anonymizing of participant data and seeking informed consent.4.ResultsThe analysis of study data identified four interconnected forms of challenges:Institutional barriers include promotion systems that prioritize publication volume over societal impact and the absence of national accreditation frameworks to ensure research quality and relevance.Organizational challenges involve structural inefficiencies, such as faculty-student imbalances, non-performance-based funding models, and recruitment practices misaligned with national priorities.Environmental barriers highlight fragmented innovation ecosystems characterized by weak linkages between academia, industry, and policymakers, as well as low demand from the private sector for collaborative research.Individual challenges primarily consist of motivational gaps among faculty, driven by institutional incentives favoring easily publishable topics over complex, problem-driven projects.These factors collectively divert academic efforts from addressing societal needs, perpetuating a cycle of non-impactful research.5.DiscussionThe findings underscore the systemic misalignment between Iran’s academic ecosystem and societal needs. Institutional policies, such as promotion criteria favoring publication volume, mirror global "publish or perish" cultures but lack compensatory mechanisms for applied work. Organizational challenges, including overcrowded supervision roles and rigid funding structures, reflect broader governance issues observed in other contexts, such as India and Brazil. Environmental barriers, particularly weak industry-academia linkages, highlight the need for ecosystem-level reforms to foster demand-driven research. At the individual level, faculty motivations shaped by institutional incentives perpetuate the cycle of non-impactful output. Addressing these issues requires integrated reforms, including policy revisions to reward societal impact, funding models tied to performance, and capacity-building initiatives to enhance problem-solving skills.6.ConclusionThis study highlights the urgency of realigning Iran’s academic research ecosystem with national priorities. Key recommendations include revising promotion policies to incentivize applied research, establishing national accreditation systems, and fostering industry partnerships through targeted grants. By addressing institutional, organizational, environmental, and individual barriers, universities can transition from passive knowledge hubs to dynamic contributors to societal development. Future research should explore the socioeconomic impacts of these reforms and benchmark progress against international models, such as South Korea’s integrated innovation ecosystems.

Objective: The aim of this study is to provide a framework for identifying and analyzing factors affecting the success of knowledge-based businesses by focusing on knowledge management processes.Methodology: The present study is quantitative in terms of method and applied in terms of purpose. In this study, the Fuzzy Delphi and Marcus methods were used for data analysis. The population of the present study consists of experts in the fields of knowledge management, economics, and knowledge-based business. And 13 people were selected as samples. The data collection tools in this study are interviews and questionnaires Findings: Factors Through a review of the history and interviews with knowledge management experts, 43 factors were identified, which reached the final 27 components after the Fuzzy Delphi screening. And the screening of extracted indicators was done by distributing expert questionnaires and the Fuzzy Delphi method was used to screen the factors.Conclusion: The results showed that clear goal setting and planning not only determine the direction and direction of businesses but also create focus and motivation in teams, and policymaking and governance defining the structures and processes necessary for knowledge management improves internal communications and stakeholder engagement. In addition, a positive and supportive organizational culture facilitates knowledge sharing and exchange, and team members work in a safe and creative environment. A culture of innovation and creativity also stimulates new ideas and creates a suitable space for trial and error, and ultimately,

1.IntroductionKnowledge organization is an old but fundamental topic in library and information science. The importance of knowledge organization is not limited to the fact that knowledge must be organized; otherwise, it cannot be retrieved and reused. Knowledge organization must be updated regularly to reflect the progress of human knowledge; therefore, changes are inevitable. Hence, it can be said that knowledge organization has become more important, diverse, and widespread in today's world. Published research often describes only specific aspects, which only provides a partial picture of the landscape of knowledge organization research. In fact, it is difficult for researchers to gain a comprehensive view of the field by reviewing such articles. This is possible by using scientometric tools. To promote the progress of scientific research and its publication, collaborations between researchers should be examined. Co-authorship, as one of the most formal manifestations of scientific collaboration, is an activity in which two or more authors participate in the production of science together. The expansion, specialization, and complexity of science in all fields have made it impossible for researchers to master not only all sciences, but also all topics in their field of expertise. Given this on the one hand, and the growth of multidisciplinary and interdisciplinary sciences and research on the other, researchers are forced to collaborate with other people. This has led to co-authorship and its growth and expansion. By analyzing co-authorship networks, the social characteristics of the knowledge structure at different levels such as individuals, organizations, sectors, and countries can be revealed. It is expected that the results of this study will help experts in this field to understand the structure of the scientific collaboration community and identify its active authors. This will allow them to quickly decide on emerging issues, trends, and key scientists. The results of this study will also play an important role in future policy-making in knowledge organization and will provide better insight into the authors and co-authorship network in this field. In light of the above, this paper examines the co-authorship structure of Persian knowledge organization articles using centrality indices.Literature ReviewAs mentioned, scientometrics can provide a clear view of the changes in the field under study and can be of great help in this regard. Various studies have been published on various topics with the focus of examining co-authorship networks. In this section, due to the large number of published studies, a list of some of them will be presented. The first group examines national or regional co-authorship collaborations. For example, Hong and Hwang (2017) examined co-authorship networks of faculty and students in humanities and social sciences journals in South Korea. In the second category, researchers have examined the extent of scientific collaboration between universities, centers, and institutions at the national and international levels. Fujita et al. (2018) also examined co-authorship networks in physics and biology in organizational research. The third group of co-authorship studies is related to scientific collaborations in a specific subject area. In this type of research, the extent of national and international collaboration of researchers in a specific subject area or discipline at the national and international levels has been examined. Gonzalez-Valente, Santos, and Arencibia (2019) also examined the social structure of co-authorship in knowledge management in their study. Fan, Li, and Lu (2020) also examined co-authorship networks in the tourism industry. The fourth group of co-authorship studies examines the extent of scientific collaborations within a specific journal or journals. Kim et al. (2017) examined the co-authorship network of articles in the Journal of the Korean Academy of Child and Adolescent Psychiatry, and Zheng et al. (2017) examined the co-authorship network of the Annals of the American Geographical Society.MethodologyThis research is an applied type that has been done with the approach of scientometrics and analysis of social networks. The research data were selected from 106 keywords of his knowledge organization in the title field, which were selected after consultation with subject matter experts in this field; Together with all the articles published in selected journals of information science and epistemology indexed in the Islamic World Science Citation Center from 1378 to 1398. Finally, the retrieved records were limited to research papers, conference papers, and review papers and limited to the subject of the Library and Information field. Out of 1482 authors who were involved in the publication of 1410 articles, 168 with at least 4 articles were analyzed using UCINET software. After that, a square matrix of dimensions 168 by 168 was formed, and finally, the co-authorship network was drawn based on the centrality indicators. Bib Excel software was used to draw the matrix, and NetDraw software was used to draw the co-authorship network.ResultsResults indicated that the average number of authors per article is 1.05. Analysis of data related to co-authorship analysis indicates the two-author approach as the most common approach in knowledge organization (35.17%), and the three-author approach (26.80%) is in the next rank. Dr. Rahmatollah Fattahi (56 articles), Dr. Morteza Kokabi (44 articles) and Dr. Yaghoub Norouzi (39 articles) have the highest number of articles in knowledge organization, respectively. Also, the co-authorship of Dr. Rahmatollah Fattahi and Dr. Mehri Parirokh (10 articles) won the top rank. In the study of centrality indicators, Dr. Rahmatollah Fattahi gained the top scores in the Degree Centrality, Closeness Centrality, Betweenness Centrality, and Eigen vector, respectively.DiscussionResults indicated that the average number of authors per article is 1.05. Analysis of data related to co-authorship analysis indicates the two-author approach as the most common approach in knowledge organization (35.17%), and the three-author approach (26.80%) is in the next rank. Dr. Rahmatollah Fattahi (56 articles), Dr. Morteza Kokabi (44 articles), and Dr. Yaghoub Norouzi (39 articles) have the highest number of articles in knowledge organization, respectively. Also, the co-authorship of Dr. Rahmatollah Fattahi and Dr. Mehri Parirokh (10 articles) won the top rank. In the study of centrality indicators, Dr. Rahmatollah Fattahi gained the top scores in the Degree Centrality, Closeness Centrality, Betweenness Centrality, and Eigen vector, respectively.ConclusionAccording to the results of the present study, it seems that prominent researchers in the field of knowledge organization, despite being productive, have not been able to play a significant role in the formation of the co-authorship network in this field.

1.IntroductionOne of the criteria for evaluating universities and countries is the level of their research outputs in reputable international databases. The status of each country's indexed research outputs in reputable international indexes represents an important part of that country's scientific activities at the international level. Therefore, in order to evaluate scientific activities, a clear picture of this status has always been of interest to the country's research managers (Arshdi, Erfanmanesh, and Salemi, 2017). Therefore, it is essential that Iranian universities, which are considered the most important scientific hubs in the country, also pay attention to scientific outputs. Given the importance of the field of psychology in the lives of individuals, examining the status of research outputs of researchers at Iran's first-tier universities in the subject area of ​​psychology should be considered. Therefore, this study evaluated research outputs in the subject area of ​​psychology in Iranian first-tier universities based on Scientometric and Altmetric indicators in the Scopus and Altmetric Explorer databases during the years 2010-2021. The aim of current study is to analyze the research outputs of Iranian first-tier universities in the subject area of ​​psychology based on Scopus database data during the years 2010-2021 with a scientometric approach (citation impact and research collaborations), an Altmetric approach (citation and markup rate), and to study the relationship between scientometric and Altmetric indicators.Literature ReviewIn the study by Erfanmanesh et al. (2013), a study on the participation of Iranian psychology and psychiatry researchers showed that 83.3 percent of the reviewed products were authored through scientific collaboration of researchers, and scientific products resulting from international collaboration had a greater impact than scientific products resulting from domestic collaboration. Prime Pivar and Heminger (2012) in their study examined the correlation between citation indices by citing 24,334 articles from 7 journals with impact factors ranging from 4.4 to 9.12. They found that there was a weak correlation between specialized markup services such as "Mendeley" and "CiteYouLike" and the number of citations received. Erdet et al. (2016) in their article examined the impact of research on social media. In this study, a total of 172 articles were analyzed. This analysis showed that there has been a continuous increase in research on citation indices since 2011. The results showed that Mendeley had the highest coverage (59%) in 15 studies. An analysis of more than 40 studies showed that there was generally a statistical correlation between the Altmetric score and the number of citations. Thelwall (2017) referred to the study of primary (read in Mendeley) and secondary (citation) impact indicators. In this study, he selected ten subject areas and examined the readability of articles in the first month of publication in Mendeley and the number of citations of the same articles after 20 months. He found that there was a strong positive correlation between secondary impact and primary impact, indicating that the readability index in Mendeley was influential on citations. In another study, Moral Munoz-Cobo (2018) examined 24,701 rehabilitation articles published in Web of Science between 2013 and 2017 in a meta-analysis. They found that Twitter and LinkedIn had the highest and lowest impact on the meta-metric score of the field of empowerment, respectively. LinkedIn was also more associated with social media and had the lowest correlation with Wikipedia, but Google+, Facebook, and Wikipedia were associated with blogs. In this study, they identified the top 10 articles in terms of citation rate in Web of Science and meta-metric score and found that the top articles had two different rankings. Accordingly, they concluded that there is no correlation between meta-metrics and citations. In his article, Wissack (2019) examined the effect of meta-metrics on citations and reading in communication research. This study examined how these metrics affect readers and citations in relation to articles in communication research. This paper examined citation data along with Altmetric data from academic sites, and social networks such as ResearchGate and Mendeley. The results showed that Altmetric scores are positively related to citations. Posting articles on sites such as Mendeley and ResearchGate not only influenced readers, but also increased the likelihood of citations. Other variables that improved reader reading and citations were collaboration and active participation among researchers. Thelwall and Muflahi (2020) studied the relationship between collaboration and citations across countries and fields. The results showed that as scientific collaboration between countries and different scientific fields increases, citations also increase.MethodologyThe present study is of an applied type and Scientometric and Altmetric indicators were used in this study. The research outputs of the subject area of psychology of ten first-level universities in Iran (as selected by the Ministry of Science in 2010) available in the Scopus database (the Scopus database is a large, authoritative multidisciplinary database that covers the largest number of journals compared to other databases and is a comprehensive database for scientometric studies) and limited to 2010 to 2021 were selected as the research population. Data collection was carried out on 2/3/2022. Initially, to obtain the research outputs of the universities, the name of the university was entered on the Scopus home page in the Affiliation section, then the subject area of psychology was selected on the results page, and then the desired years were selected, and a total of 2210 research outputs were obtained from the study of ten universities in the field of psychology. The Altmetrics Explorer database was used to examine the citation and markup of research outputs of Iran's first-tier universities in the subject area of psychology. To retrieve data related to the Altmetrics performance of research outputs in the subject area of psychology in the universities in question, the digital object identifier of these outputs, after being stored in Scopus, was entered as input into the Altmetrics Explorer database and then various analyses were performed on it. In addition, the share of the relevant universities in the subject area of psychology from outputs with Altmetrics scores, information on outputs with at least one citation from the Altmetrics Explorer database was stored. In the Scival database, data related to international, national, institutional, and individual collaboration indicators as well as the total number of citations for each discipline, the average citation for each publication and the weighted citation impact at the discipline level, the percentage of articles published in top journals, the percentage of highly cited articles and the H-index were extracted. Due to the non-normal distribution of the data obtained from the Kolmogorov-Smirnov test, Spearman's correlation test was used to respond to the correlation between the citation index and the Altmetrics score. Finally, in the data analysis stage, Excel software was used for descriptive statistics and SPSS software version 22 was used for inferential statistics, and a scatter diagram was drawn. In the continuation of the study, the relationship between the citation index and the Altmetrics score was tested, and the test results showed that there was a statistically significant, positive and weak relationship between the citation indices and the Altmetrics score in the three universities of Allameh Tabataba'i (P=0.048 and r=0.249), Shahid Beheshti (P=0.006 and r=0.273) and Isfahan (P=0.012 and r=0.341). In other words, if the Altmetrics score of a research output is higher and it is mentioned more in various social media, the citation rate of that output is also higher. In Figure 1, the correlation graph between the citation index and the Altmetrics score can be seen. The vertical axis shows the citation rate and the horizontal axis shows the Altmetrics score. It should be noted that in the rest of the universities, there was no statistically significant relationship between the citation indices and the Altmetrics score, and due to space limitations in the article, the scatter plot is not included here.ResultsThe findings revealed that the University of Tehran ranks first with the highest research output, the highest citations, and the H-index, and among them, Tarbiat Modares University has the best performance in terms of the impact of its research outputs with the highest average citation value, citation impact at the field level, percentage of highly cited articles, and percentage of articles published in top journals. The highest international research output is related to Shiraz University, followed by Tarbiat Modares and Shahid Beheshti Universities with a slight difference, while Allameh Tabataba'i University has the highest national research output, and Ferdowsi University of Mashhad has the highest institutional cooperation in publishing research outputs among the universities studied. It was further revealed that Isfahan University has the highest individual research outputs. By studying the status of Altmetric indicators of research outputs of ten universities in the subject area of ​​psychology, the findings showed that Shiraz University with the highest Altmetric coverage is in the first place, followed by Bahonar University of Kerman and Shahid Beheshti University in the next ranks, respectively. Also, in terms of average citations and markups, Allameh Tabataba'i, Tarbiat Modares, and Isfahan Universities are in first and third places. Furthermore, according to the findings, it was determined that the Shahid Chamran Universities of Ahvaz, Tarbiat Modares, and Tabriz had the highest average Altmetric scores and performed better.In the continuation of the study, the relationship between the citation index and the Altmetric score was tested, and the test results showed that there was a statistically significant, positive and weak relationship between the citation indices and the Altmetric score in the three universities of Allameh Tabataba'i (P=0.048 and r=0.249), Shahid Beheshti (P=0.006 and r=0.273) and Isfahan (P=0.012 and r=0.341). In other words, if the Altmetric score of research output is higher and it is mentioned more in various social media, the citation rate of that output is also higher. In Figure 1, the correlation diagram between the citation index and the Altmetric score can be seen. The vertical axis shows the citation rate and the horizontal axis shows the Altmetric score. It should be noted that in the other universities, there was no statistically significant relationship between the citation indices and the Altmetric score.DiscussionThe current study aimed to study the citation impact and social impact of research outputs of ten Iranian first-tier universities in the subject area of ​​psychology. According to the results, it was found that the University of Tehran ranks first among the ten universities studied with high research outputs and citations. However, considering that Tarbiat Modares University is in the middle ranks in terms of production and citations, it performs better than other universities in terms of quality indicators (percentage of articles published in top journals (first quartile), percentage of highly cited articles (10 percent), and weighted citation impact at the field level), and this indicates the high quality of research outputs at this university. In this regard, it is very important for the university to emphasize the quality of research outputs in addition to the quantity of these outputs. Also, considering special research points and credit for authors of articles in top journals can be a suitable solution to increase the quality of research outputs. In the collaborations section, the findings showed that research outputs with high international collaborations have favorable citations, which indicates that collaboration with different countries can be effective in increasing citations, which is consistent with the results of the research of Erfan-Manesh et al. (2013), Erfan-Manesh and Hosseini (2017), Mohammadzadeh, Fahmyifar and Hassanzadeh (2014), Mostafavi and Azh (2014), Visak (2019), and Talwal and Muflahi (2020). In these studies, different dimensions of researchers' scientific participation and the citation impact of scientific productions were examined, and the results showed that the documents resulting from collaboration can be effective in receiving their citations.ConclusionThe findings of the present study indicated the positive effect of social media in increasing the citation of research outputs. However, in this regard, according to the results, it was determined that the research outputs under study in the field of psychology did not have appropriate Altmetrics coverage (presence on social media). In order to increase the visibility of research outputs at the national and international levels and subsequently increase the impact indicators of outputs, it is necessary to take measures in this area, including: emphasizing Altmetrics indicators as a complement to the indicators for evaluating outputs, emphasizing the quality along with the quantity of research conducted in universities, holding workshops for researchers on the benefits and methods of using social media, and active membership of researchers and creating user accounts for journals on social media and timely sharing of the full text or at least the detailed abstract of the outputs in these media.AcknowledgmentsWe would like to thank Dr. Mohammad Amin Erfanmanesh, a researcher at the Eastern Canada Higher Education Commission, for his cooperation in the research.

1.IntroductionIn today’s knowledge-driven economy, knowledge is considered a fundamental organizational asset, yet its value is only realized through effective sharing across individuals and teams. Particularly in knowledge-based organizations such as academic libraries, knowledge sharing enhances innovation, task performance, and employee satisfaction. As Artificial Intelligence (AI) technologies continue to evolve—especially with the rise of generative tools like ChatGPT, they are increasingly integrated into library workflows, transforming how information is managed, disseminated, and utilized. This study explores the relationship between AI capabilities and employee performance, with a focus on the mediating role of knowledge sharing among staff in medical science libraries under the Ministry of Health and Medical Education in Tehran. AI offers powerful tools for automating routine tasks, facilitating content creation, and improving decision-making processes, which in turn may foster greater knowledge exchange among employees. By examining these dynamics, the research aims to shed light on how AI-driven knowledge sharing can contribute to enhanced service quality and organizational effectiveness in academic library environments.Research Question(s)Artificial intelligence has a positive and significant relationship with the performance of librarians.Artificial intelligence has a positive and significant relationship with knowledge sharing among academic librarians.Knowledge sharing has a positive and significant relationship with the performance of librarians.Knowledge sharing plays a mediating role in the relationship between artificial intelligence and performance.2.Literature ReviewPrevious studies have highlighted the significant impact of Artificial Intelligence (AI) on organizational performance and knowledge management. Abayomi et al. (2021) found that AI enhances the job performance of academic librarians. Malik et al. (2021) showed that AI-driven systems promote knowledge sharing, improving job satisfaction and reducing turnover. Nguyen and Malik (2022) demonstrated that knowledge sharing enhances service quality, moderated by AI system quality. Hussain (2023) identified barriers to AI adoption in libraries, including budget constraints and technical skills. Barsha and Munshi (2024) emphasized AI's potential in improving library services in developing countries. Femi Olan et al. (2024) argued that AI combined with knowledge sharing boosts employee performance and creativity, while Wirawan et al. (2024) confirmed AI's role in talent management. Despite these findings, further research is needed to explore AI's impact in medical library settings, which this study addresses by examining the relationship between AI capabilities, librarian performance, and knowledge sharing in Tehran’s medical science libraries.3.MethodologyThis applied study employed a descriptive-correlational design using a quantitative approach to examine the relationship between artificial intelligence and employee performance, with knowledge sharing as a mediating variable. The statistical population included managers, administrative staff, and heads of medical science libraries affiliated with the Ministry of Health in Tehran. Due to the limited population size, a census sampling method was used, resulting in 176 participants. Standardized questionnaires were utilized to collect data: a 22-item AI questionnaire by Chen et al. (2022), a 12-item knowledge sharing scale by Damaj et al. (2016), and a 12-item employee performance scale by Stephen (2005). Responses were measured using a five-point Likert scale. Convergent and discriminant validity were applied to confirm the instrument's validity. Structural equation modeling (SEM) was conducted using Smart PLS software to test the conceptual model and hypotheses.4.ResultsThe results of the structural equation modeling (SEM) confirm the significance of the mediating role of knowledge sharing in the relationship between artificial intelligence (AI) and employee performance. Specifically, the Z-values for all tested hypotheses exceeded the critical value of 1.96, indicating statistical significance at the 95% confidence level (P ≤ 0.05). The Variance Accounted For (VAF) value was calculated to be 0.849, which exceeds the 80% threshold, suggesting full mediation. Further analysis showed that knowledge sharing had a significant and positive effect on employee performance (β = 0.766, t = 12.104, P ≤ 0.05), implying that a one-unit increase in knowledge sharing corresponds to a 0.766 standard deviation increase in employee performance. Similarly, AI had a significant direct impact on employee performance (β = 0.739, t = 9.986, P ≤ 0.05), indicating a strong positive relationship between these variables. Additionally, AI significantly influenced knowledge sharing (β = 0.642, t = 8.572, P ≤ 0.05), suggesting that the adoption and integration of AI technologies foster a more effective knowledge-sharing culture within organizations. Overall, the findings provide robust empirical evidence supporting the theoretical model and affirm that knowledge sharing fully mediates the relationship between AI and employee performance. These results highlight the importance of fostering a knowledge-sharing environment to fully leverage the potential benefits of AI in enhancing organizational effectiveness, particularly in knowledge-intensive sectors such as academic and medical libraries.5.ConclusionThe purpose of this study was to examine the relationship between artificial intelligence (AI) and employee performance, with knowledge sharing playing a mediating role, among managers, administrative staff, and library directors of medical sciences libraries affiliated with the Ministry of Health, Treatment, and Medical Education in Tehran. The study aimed to address a research gap by providing valuable insights into the impact of AI on employee performance in this important sector. The results showed that AI has a positive and significant impact on the performance of employees in medical sciences libraries. This finding is consistent with previous research, which emphasized that AI and machine learning enhance organizational performance by eliminating human productivity limitations and reducing repetitive tasks. The study also found that effective use of AI algorithms in big data analysis improves employee retention and attracts new users. Additionally, AI accelerates daily library tasks, reducing time and cost, while enhancing librarian productivity and improving job performance by reducing human errors. Furthermore, the study demonstrated that knowledge sharing has a positive and significant impact on employee performance, with a strong emphasis on how fostering a culture of knowledge sharing can promote innovation, teamwork, and organizational efficiency. The research also revealed that AI positively impacts knowledge sharing among employees by providing digital platforms and advanced tools, facilitating data analysis, and enabling quick access to valuable resources. The findings indicated that knowledge sharing mediates the relationship between AI and employee performance, confirming that a combination of AI and knowledge sharing strategies provides a more sustainable approach to improving organizational performance. The study suggests that medical sciences libraries should invest in AI technologies, provide specialized training, and create a collaborative culture to enhance employee performance and facilitate knowledge sharing, ultimately leading to improved organizational efficiency and productivity.AcknowledgmentsThe author expresses sincere gratitude to all those who contributed to this research.

The aim of the present research is to identify and rank the factors influencing the implementation of an electronic city plan using the Analytic Hierarchy Process. The research method is descriptive, applied, and quantitative, with a sample population of 21 experts. Data collection was done through library research and questionnaires. The validity of the questionnaires was confirmed by experts, and reliability was assessed using pairwise comparisons, showing an overall inconsistency rate of 0.06, indicating acceptable reliability. Data analysis was conducted using Choice Expert software and Analytic Hierarchy Process (AHP). According to experts, organizational factors are the most important (weight of 29.0) while political factors are the least important (weight of 19.0). Within organizational factors, the strategic information systems index is the most important (relative weight of 26.0 and final weight of 76.0), while the power distribution index is the least important (relative weight of 12.0 and final weight of 37.0). Among technology factors, the security and privacy index is the most important (relative weight of 39.0 and final weight of 100.0), while the access and e-government portal index is the least important (relative weight of 13.0 and final weight of 34.0).1.IntroductionCities, as the cradle of civilizations, have always been places of thought and innovation. Since ancient times, they have been recognized as centers of trade, culture, and knowledge, playing a significant role in the progress of humanity. Over time, with the increase in population and the complexities of urban life, the need for new urban designs and structures has become more pronounced. These changes are essential to improve the quality of life for citizens and to create spaces that align with the modern needs of humanity. Consequently, urban planners and architects seek ways to design cities that are sustainable, accessible, and aesthetically pleasing—meeting the needs of today while ensuring longevity and resilience for the future. (Kiani, 2011).Modern cities, through the use of advanced technologies, enhance the quality of life and contribute to sustainable development. They function as hubs for diverse cultural and economic services while addressing citizens' needs in the digital era through electronic services (Maleki & Madanloujibari, 2016).An electronic city leverages information technology to improve urban services and foster economic and social growth (Alizadeh Asl et al., 2015).By utilizing information technologies, electronic cities enhance the quality of life and facilitate access to services. The provision of governmental and private services online reduces traffic and pollution while saving time and costs (Mosazadeh, Mirketuli, Ata, & Kiaei, 2014).Research Question(s)What are the factors and indicators influencing the implementation of the electronic city project in Parand City?How is the prioritization (weighting) of factors and indicators influencing the implementation of the electronic city project in Parand City determined?2.Literature ReviewThe electronic city represents the digital revolution and the information age, utilizing digital technologies to offer diverse services. These cities, by transforming areas such as security, healthcare, education, and employment, enhance the quality of life and enable continuous access to urban services (Tachenko & Sustiano, 2023). An electronic city, by leveraging advancements in information technology, facilitates access to urban services through the internet. These cities, providing governmental and private services online, contribute to reducing traffic and pollution while saving time and energy (Mohammadi et al., 2021). The first virtual city was established in 1994 in Amsterdam and quickly became a global phenomenon, offering solutions to urban challenges such as congestion and pollution (Raeesi, 2021).3.MethodologyGiven that the present study seeks to obtain information regarding perspectives and opinions through surveys and questionnaires, it is classified as descriptive research. This study is applied in terms of its objective and descriptive survey in nature. It is cross-sectional research focusing on identifying and prioritizing factors affecting the implementation of the electronic city project. Two populations are utilized in this research. The first population consists of 21 experts, including managers and specialists from governmental organizations in Parand City, who are familiar with information technology and the concept of an electronic city. The second statistical population comprises 120 citizens of Parand City who have interacted with governmental organizations and utilized information technology and electronic city services to some extent. For the first population, due to its limited size (21 individuals), the sample size is considered equal to the population size using purposive sampling. For the second population, the sample size is determined through random sampling using Cochran's formula. Based on the number of respondents (120 individuals) and applying the formula (Cochran Z=1.96, P=0.5, with an error margin of E=0.05), the statistical sample size was calculated as 91 individuals, which aligns with Morgan's table (91 sample size for a population of 120).4.ConclusionThe analysis of experts' opinions revealed that the main factors influencing the implementation of the electronic city project are organizational, technological, social, and political factors. Each of these main factors consists of sub-indicators identified through pairwise comparisons and the geometric mean of the experts' final opinions.Organizational factors include organizational structure, power distribution, information systems strategy, future organizational needs, and organizational culture.Technological factors cover IT standards, security and privacy concerns, system integration, access issues, and the electronic government portal.Social factors emphasize citizen-centric focus, citizens' awareness, training and education, and the digital divide.Political factors involve government support, funding, organizational leadership, public institutions, and legal and regulatory issues.Among the main factors, organizational factors held the highest weight (0.29), with the information systems strategy being the most significant sub-factor, receiving a weight of 0.076. The research findings also indicated that political factors had the lowest impact on the implementation of the electronic city project, with a weight of 0.19, making it the least influential among the four categories, as assessed by the experts.AcknowledgmentsWe express our deepest gratitude and appreciation to all the material and spiritual supporters who accompanied us in conducting this research.

This study investigated the information seeking behavior of art researchers in the process of searching for information on the web. This study is semi-experimental. It was conducted using observation, interview, and statistical analysis methods. The statistical population consisted of 48 art researchers who were selected through purposive sampling. Data were collected through Camtasia software to record the search process, semi-structured interviews to examine cognitive strategies, and a standard information seeking behavior questionnaire to measure related variables. Two search tasks were assigned to the participants: easy (finding a Latin article about Iranian art) and difficult (finding a related job opportunity abroad), and data analysis was performed using the Chi-square test. The findings showed that in easy searches, participants mainly used faster and more superficial strategies such as extensive use of the Google search engine (with a frequency of 976) and formulating search terms from general to specific. In contrast, in difficult searches, researchers resorted to more advanced analytical methods such as repeated modification of search terms, use of Boolean operators, and reference to specialized databases. The statistical data analysis showed that the total number of strategies adopted in the second task was 976 in the easy style and 959 in the difficult style, for a total of 1935 strategies, indicating that the level of complexity of the search tasks has a direct impact on the strategies used by researchers. This highlights the need to optimize information retrieval systems based on the needs of users and the level of complexity of their searches.

1.IntroductionAbsorptive capacity is a knowledge creation and knowledge utilization dynamic asset that enhances the potential of an organization to enhance performance. Enhancing human capital in this regard can raise absorptive capacity. Considering the significance of these three variables in sport organizations, the primary objective of the study is to examine the role of purposeful organizational forgetting on the capacity for absorptive capacity with the mediating effect of human capital in Tehran province sport and youth departments.Research HypothesisPurposeful organizational forgetting affects human capital.Human capital affects the capacity for knowledge absorption.Purposeful organizational forgetting affects the capacity for knowledge absorption.Purposeful organizational forgetting, with the mediating role of human capital, affects the capacity for knowledge absorption.2.Literature ReviewThe study validates that in organizational sport literature, there is no analysis of the phenomenon of intentional organizational forgetting and absorptive capacity in the context of human capital's role. Absorptive capacity is a dynamic capacity in terms of the acquisition and utilization of knowledge that enhances the organization's ability for improved performance. By doing so, it would appear that enhancing human capital can enhance the ability to absorb knowledge, as well as the removal of outdated knowledge, old scientific concepts and attitudes, which can assist in developing incremental innovations in sporting organizations and organizational learning, and therefore to enhance the ability to absorb knowledge. Alternatively, however, it appears that relinquishing old knowledge, with consideration for new technology and technologies, can influence the ability to intake knowledge and implement knowledge via human capital. Since human capital and its function have been studied in intentional organizational forgetting research such as Yeh et al. (2020), Hosseini et al. (2019), and Mohammad Esmaeil and Seyed Vakili (2018), and the significance of human capital has been investigated. Conversely, organizational forgetting by intention and its impact on the capacity for knowledge absorption have been explained in Ghiasi et al.'s (2015) and Doostar et al.'s (2015) studies.3.MethodologyThe given study followed a descriptive-analytical applied research approach. The researchers' statistical population included all employees of the Ministry of Sports and Youth. Deciding the minimum number of samples necessary for collecting data in reference to structural equation modeling is critical; however, a minimum of 200 samples is acceptable. In the context of confirmatory factor analysis, the minimum sample size is based on factors and not on variables. For structural equation modeling, it requires about 20 samples per factor (latent variable). Based on that, taking into consideration the dropout rate, 300 questionnaires were distributed, of which 213 were ultimately usable and uploaded to the software. Questionnaire distribution was done face-to-face. The tool formulated by Manbiwa et al. (2003) was utilized to measure the knowledge absorption capacity dimension, which had 10 items. While the questionnaire established by Meshbaki et al. (2013) was used for measuring the purposeful organizational forgetting dimension, which had 5 items, and the questionnaire developed by Pike et al. (2002) was used for measuring the human capital dimension, which included 10 items.4.ResultsThe results of the study showed that purposeful organizational forgetting has a positive and significant effect on human capital and knowledge absorption capacity, and human capital has a significant effect on knowledge absorption capacity. In addition, purposeful organizational forgetting has a significant effect on knowledge absorption capacity with the mediating role of human capital. Knowledge absorption is influenced by getting rid of useless organizational knowledge and creating change and transformation by increasing the individual abilities and skills of employees. Considering the model indicators, it can be concluded that the model is in a suitable condition in terms of indicators. In fact, the level of these indicators (adaptive fit, goodness of fit index, incremental fit index, non-soft fit index and normalized fit index) should be higher than 0.9 for the model to have a good fit, which was evaluated as appropriate.5.DiscussionPurposeful organizational forgetting has a positive and significant effect on human capital. In addition, purposeful organizational forgetting has a positive and significant effect on the capacity to absorb knowledge. Human capital also has a positive and significant effect on the level of the organization's knowledge absorption capacity. Another finding of the research was the mediating role of human capital in the effect of purposeful organizational forgetting on the capacity to absorb knowledge. In other words, when organizational forgetting is purposeful and new knowledge is applied and old knowledge is discarded, the level of human capital is improved, and by improving the level of human capital, including knowledge, abilities, skills, and mindset of employees, the organizational absorption capacity is improved.6.ConclusionKnowledge absorption is influenced by getting rid of useless organizational knowledge and creating change and transformation by increasing the individual abilities and skills of employees. In fact, in order to absorb new knowledge and apply organizational knowledge, it is necessary to make changes and transformations in the organization, which can happen with the help of employee empowerment. As a result, organizations need to move towards new knowledge due to facing changing environments and, in other words, take the lead in applying new knowledge, which will be driven by the human capital of each organization. Sports organizations need knowledge dynamics due to environmental changes.

IntroductionAuthors often publish scientific articles in reputable journals to achieve a good professional status and recognition. One of the methods of identifying reputable journals is to examine the ranking indicators that are used by publishing houses. This study aims to identify the impact of SJR, SNIP, and Citescore on the number of citations received in Semantic Web publications. It examines the status of Semantic Web scientific productions in Scopus, the relationship between SJR, SNIP, and Citescore, and the number of citations received. The results of this study help authors identify factors that affect the increase in the number of citations received in Scopus, and examine the current status of Semantic Web publications for submitting their research results. Literature ReviewRahman et al. (2024) studied a range of bibliometric indicators including impact factor, special factor score, citation score, and H-index of 105 healthcare services and science journals from Scopus and Web of Science databases and acknowledged that there is a strong statistical correlation between JIF and Citescore as well as between JIF and SJR. While there is a moderate correlation between JIF and SNIP. Elmi, Mohammad and Bari (2024) while pointing out the impact of journal scientometric analyses on drawing the landscape of knowledge areas, believe that journals with Citescore, SNIP, SJR rankings are key platforms for publishing influential research and play a significant role in shaping the scientific path of journals and knowledge areas. MethodologyThe present study is a fundamental type that was conducted in a descriptive manner and with a scientometric approach. The statistical population of this study includes 42,270 documents produced in the field of semantic web that were published by journals indexed in the Scopus database in the period 1960-2021. After an initial review, 10 titles of high-production journals in the field of semantic web that published 15,182 titles of scientific productions in this field were selected as a statistical sample. In order to examine the relationships between the research variables, Pearson correlation coefficient test and multiple linear regression were used with the help of Excel and SPSS software. ResultsRetrieving information related to scientific productions in the field of semantic web from the Scopus database showed that in the period 1960-2021, 42,270 records were indexed in this database. 29,189 titles (69%) were conference papers. This number of scientific productions has been cited 267,384 times so far. The trend of scientific productions in the field of semantic web has been almost uniform from 1970 (the time of indexing the first record) to 2000. The number of citations received in this period was 267,384. The largest number of productions (3,304 titles) was in 2010. The largest number of citations received (13,446 citations) was related to the article titled "Fully convolutional networks for semantic segmentation" in 2015. Lecture Notes in Computer Science (LNCS) published 471,217 articles during the study period, of which 7,418 were in the semantic web field. "Lecture Notes in Computer Science" has the highest number of publications (7,418 records), equivalent to 17.5% of all publications in the semantic web field. This source is also ranked first in terms of the total number of publications from different fields. In terms of Site Score, "Journal Of Web Semantics" has the highest score (1.9). This score is the average of the Site Score scores of the last 10 years of this journal. Given that the Citescore is the result of dividing the number of citations by the number of documents published in a three-year period, in this respect the journal has the best performance compared to other journals studied. Among the 10 selected journals, the Journal of Web Semantics has the highest Site Score (9.1) and the highest SJR score (8.1). The highest SNIP score (12.6) is assigned to the Journal of Web Semantics. According to (r=.860; p=.812), there is no correlation between the number of citations and the SNIP index. There is also no significant relationship between the number of citations and SJR (r=.580; p=.874) and the number of citations and Site Score (r=.480; p=.896). The results of multiple regression showed that none of the three Site Score, SNIP, and SJR indices can predict the number of citations received in the Scopus database. DiscussionExamining the relationship between Citescore, SJR, and SNIP indicators shows that there are positive and significant relationships between these indicators in the scientific productions of the semantic web. These indicators are affected by the number of citations and there is a very high correlation between them. However, there is no significant relationship between these indicators and the total number of citations received in the semantic web in the publications under study. The significance level obtained from the variance test between the indicators under study and the number of citations received in the Scopus database indicates the absence of a significant relationship in this case. On the other hand, the regression coefficients and the significance level obtained from running the model also indicate the inability to predict the number of citations received through the desired indicators. In other words, none of the Citescore, SJR, and SNIP indicators are able to predict the number of citations received in the scientific productions of the semantic web. ConclusionThe lack of a significant relationship between Citescore, SNIP, and SJR indices and the number of citations received by high-producing Semantic Web publications indicates the insignificant share of the number of citations received from Semantic Web publications compared to the total number of citations received by these publications.

Knowledge management has gained a good place among various sciences. Today, successful organizations optimize their human resources by using knowledge management. Universities and libraries are considered to be the main centers of knowledge production and storage, therefore the aim of the present study was to review the concept of knowledge management in academic communities and libraries. This study was conducted by reviewing domestic and foreign sources and articles with the main topic of knowledge management in educational and library environments. This study was conducted by reviewing domestic and foreign sources and articles with the main topic of knowledge management in educational and library environments. Search engines on the Internet, scientific sites, and databases were also used. The time range for selecting articles was 1384-1404. The results of studies conducted by researchers in various dimensions of knowledge management show the positive and significant impact of applying knowledge management components with important variables in universities and libraries. In these studies, in some cases, more favorable results have been reported, and in some, poor results have been reported, but in general, all of them agree on the important and key role in using the knowledge management process. Academic libraries, as knowledge production and storage organizations, must pay attention to the knowledge management process and provide the necessary framework for its implementation.1.IntroductionKnowledge management has strengthened its position as one of the achievements of the knowledge and information age, with the entry into the area of various sciences. Nowadays, successful organizations, with the acquisition of the necessary tools with the knowledge management approach, create the right opportunities for optimizing their human and organizational resources. Universities and libraries are considered the main centers of knowledge production and storage. Therefore, the purpose of this study was to review the concept of knowledge management in academic societies and libraries.2.Literature ReviewThe results of the background and research conducted on knowledge management, which has been conducted in various dimensions by many researchers, indicate the positive and significant impact of applying knowledge management components with important variables in various organizations. Some researchers have studied the components of knowledge management and its implementation from the perspective of faculty members and in universities and higher education centers (Siahsarani Kajouri and Cheraghali, 1403). Some have also searched for this issue among organizations (Taqvi and Mohajerani, 1402; Jabbari Dastjerd et al., 1402; Ahmadvand et al., 1402; Koivisto and Typalos, 2025; Wu and Cho, 2024), and some researchers have designed a knowledge management model (Ahmadvand et al., 1401). In these studies, some aspects have been reported as more desirable and in some cases weaker, but in general, in all of them, there is a consensus on the important and key role of using the knowledge management process and the importance of addressing this issue.3.MethodologyThis study was conducted by reviewing the sources and internal and external articles with the main subject of knowledge management in educational and library settings. Also, a search was conducted on the Internet, as well as scientific sites and databases. The range of articles selected was from 2006-2025.4.ResultsThe results of studies conducted by researchers in different aspects of knowledge management show a positive and significant effect on the usage of knowledge management components with important variables in universities and libraries. In these studies, the results are more favorable and some are reported to be weak, but in general, all of them consensus on the important role of using the knowledge management process.5.DiscussionThe main goal of knowledge management is to create and organize an environment in which people develop their knowledge, exchange it with each other, combine the knowledge of others with their own knowledge, and ultimately apply it. The application of knowledge, in turn, will lead to innovation in the organization. This is why it can be said that knowledge management is known as the main source and reference of innovation and is considered one of the basic requirements of the innovation process in the organization and can be called the key to the success of organizations. Therefore, it is appropriate for universities, and especially university libraries, as the main centers and organizations for knowledge production and management, to pay more attention to this issue. Certainly, in the next few years, the category of knowledge will become an inseparable part of all organizational complexes in the public and private sectors, and organizations that provide the necessary infrastructure for its implementation and design the appropriate framework will be successful in this field. In this direction, we can take a model from the experiences of advanced countries.6.ConclusionUniversities, and especially university libraries, as the main centers and knowledge production and storage organizations, should pay more attention to the knowledge management process and provide the necessary infrastructures to implement it in this regard.

IntroductionScientific outputs that report on the findings of scientific research play a crucial role in enhancing knowledge, advancing science, and promoting research within academic communities. Therefore, the aim of this research project was to analyze the scientific outputs of Allameh Tabataba'i University and to represent them in the form of scientific maps. Research Question(s)What is the status of the university's scientific output in international citation indexes and the scientific maps of co-authorship networks, co-occurrence of terms, inter-terms, and their frequent terms?What is the status of the publication of books by researchers and faculty members of the university, and how is the scientific map of their co-occurrence of terms drawn?What is the status of the theses/dissertations of Allameh Tabataba'i University in terms of publication and subject area, and how is the scientific map of their frequent terms drawn?What is the status of the publication of articles by Allameh Tabataba'i University in internal and external systems that do not have citation indexes (not indexed), and how is their scientific map drawn?What is the status of research projects at Allameh Tabataba'i University and how is their scientific map drawn?Literature ReviewPrevious studies in the field of scientific mapping were categorized into two groups. The first group contains research that has focused on mapping scientific fields across various disciplines. Notable studies include those by Meskarpour Amiri et al. (2022); Varnaseri et al. (2022); Mohammadzadeh & Baghernejad (2023); Alipour Hafezi and Matlabi (2022); Yao et al. (2014); and Masoumi and Khajavi (2023). In the second group, studies are included that address scientific mapping in different universities. Research by Mohammadian, Esmaeili Givi, and Nahghineh (2016); VahdatZad et al. (2017); Galyani-Moghaddam and Taheri (2018); Ghasemian, Asnafi, & Erfanmanesh (2021); Soltani et al. (2022); Goftari (2024); Sandler and Gladyrev (2020); Chen and Zhang (2023) fall into this category. An examination of the research conducted has shown that in recent years, there has been an increasing interest in evaluating the scientific outputs of universities as a way to assess their performance and research impact. One of the most common criteria used for evaluating scientific outputs is the number of publications produced by a university. Additionally, studies have indicated that apart from the number of publications, other metrics such as the number of citations, journal impact factors, and H-index scores are often used to assess the scientific outputs of universities. Furthermore, in recent years, there has been significant interest in developing alternative metrics or altmetrics to evaluate scientific outputs.MethodologyThis paper was conducted using scientometrics research methods. The aim of this research was to analyze the status of the scientific outputs from Allameh Tabataba'i University and represent them in the form of scientific maps using bibliometric research methods. The statistical population of this study included all research outputs (international articles, books, theses/dissertations, domestic journal articles, and research projects) from Allameh Tabataba'i University in Persian and other languages between the years 1974 to 2024, totaling 69,420 titles. In this study, analytical tools from citation databases, reports from the university's research systems, and bibliometric tools were utilized to collect the necessary data. Data analysis was performed using descriptive statistics, social network analysis, and co-occurrence of keywords. Excel software was used to create tables, UCINET and VOSviewer softwares were employed for analyzing centrality indicators and visualizing the networks.ResultsAmong the 3,227 articles published by researchers from Allameh Tabataba'i University in the Scopus citation index, 1,091 articles, accounting for 18.6%, are in the field of social sciences; 666 articles, representing 11.4%, are in the field of medicine; 493 articles, also at 8.4%, are in the field of computer science; and 492 articles, another 8.4%, are in the fields of business, management, and accounting. The lowest number of articles are in the fields of veterinary science, with 4 articles; immunology and microbiology, with 21 articles; and chemical engineering, with 23 articles. In total, 1,105 article titles from the university have been published in the Web of Science index, of which 23 are among the highly cited articles. The most common keywords were Iran, decision-making, supply chain management, and policymaking. The subject area of statistics and probability, with 114 titles, and the subject area of artificial intelligence, with 103 titles, were identified as the most active research areas at Allameh Tabataba'i University. An investigation of the theses and dissertations from the university indicated that the keywords Iran, education, learning, quality of life, economic growth, job satisfaction, and others were frequently used. A review of over 28,000 domestic articles from the university showed that the keywords Iran, effectiveness, students, and quality evaluation were most commonly employed. Most research projects at Allameh Tabataba'i University were centered around topics such as educational satisfaction, employment status, and students' social activities.DiscussionThe findings indicate that in recent years, the number of publications from Allameh Tabataba'i University in international indexes has increased, reflecting the university's greater focus on publishing articles in international journals. However, the conducted reviews show that, in terms of citations, the articles from Allameh Tabataba'i University require more visibility, as only 23 out of the 1,105 articles published in the Web of Science index are classified as highly cited. It can be stated that Allameh Tabataba'i University has a favorable status in conducting research across various thematic areas.ConclusionOverall, it can be stated that mapping scientific outputs can lead to improvements and advancements in scientific fields, development of knowledge, enhancement of universities' credibility, facilitation and acceleration of data understanding and analysis, improvement of communication and collaboration among researchers, knowledge sharing, and increased transparency of research and its results. Undoubtedly, evaluating scientific outputs requires the participation and collaboration of all university members to be favorably integrated into the university's overarching policies. It is expected that by utilizing these tools, Allameh Tabataba'i University and other educational and research institutions can enhance their research processes and improve the quality of their research outcomes, thereby contributing to knowledge development and increasing the scientific credibility of the country. To enhance the functionality of scientific outputs, it is recommended to use specific keywords that are suitable for the thematic context of the research to clarify the subjects of the outputs.AcknowledgmentsThis research has been conducted with the support of the Research Vice-Presidency of Allameh Tabataba'i University. In this regard, the researchers express their gratitude.

The knowledge produced in organizations is increasing, forcing them to use new strategies for knowledge storage. Blockchain is a new decentralized technology that can potentially improve knowledge management. Considering the fact that Academic Jihad is a scientific organization with about 7200 faculty and non-faculty personnel, and considering its nature, perhaps more than other organizations, the preservation of knowledge is important in it, for this purpose, a proposed plan It was presented to the senior managers of this institution to implement this important by using the most up-to-date technologies, therefore, the purpose of this research is to evaluate the state of academic jihad for the establishment of knowledge management and then to present a proposed plan for its implementation using blockchain technology. Is. In this study, using Morgan's table, 367 people as a sample population, which is a combination of managers and professionals of academic and non-academic faculty, and with a descriptive model, the state of academic jihad in the field of organizational culture, information technology, organizational structure and human resources is investigated. To create a suitable model for knowledge management. Descriptive and inferential statistics have been used to analyze the data. According to the results of the t-test with 319 degrees of freedom and a confidence interval of 0.05 and a theoretical mean of 3.5, the findings of the research indicate that the state of human resources is suitable, and the state of Organizational structure and culture and information technology are average for the application of knowledge management

The purpose of this research is to present the experience of Semnan University students in virtual education. The covid-19 pandemic caused the widespread use of virtual space capacities and technological tools in education, but the unpreparedness of students and information technology users has brought challenges for them. This qualitative research seeks to know the experience of Semnan University students in the psychology faculty who had positive or negative experiences in encountering the new information space. A semi-structured interview was used to collect data. The gathered data were analyzed via the qualitative data analysis methods by using the Grounded Theory method and by using Max QDA. More than 72 interviews were conducted until data saturation (after 52 interviews). The findings showed that despite various challenges and disadvantages such as the weakness of the Internet, and hardware and software problems, the students of Semnan University Psychology Faculty have welcomed this type of education due to the advantages of virtual education. Although there were different views about the future of virtual education among the students present in the present study, the interesting point in the findings of this study was that despite the desire for face-to-face education by individuals, the desire for integrated education was also widespread among the interviewers. The interviewers preferred virtual training with special conditions to face-to-face training. Conditions in which the problems and challenges associated with the use of virtual education are minimized. The current research is original in terms of the research community and research methodology.

IntroductionCybernetics, a science that emerged in the 20th century, has rapidly grown and penetrated various disciplines. Since its inception, cybernetics has experienced significant and continuous growth, with communication and the concepts of message and feedback at its core. Today, cybernetics is recognized as an independent yet interdisciplinary field, grounded in information theory and focused on methods of information processing. According to Baum (2003), the cybernetic model effectively organizes the activities of academic systems in the modern era. This model relies on complex social systems and cybernetic monitoring, where self-correction mechanisms oversee organizational functions. Consequently, individuals are not the final decision-makers; instead, continuous activities are carried out to improve different parts of the organization. The cybernetic library aims to achieve specific goals. When deviations occur, individuals or groups within the library become active to restore desired levels. The complexity of the cybernetic library also involves parts responsible for identifying adverse events and reporting them to higher levels. In this research, cybernetics refers to the optimal use of cybernetic patterns in university libraries. This study aims to provide a suitable model for the optimal use and management of system information by measuring the status of cybernetic components in academic libraries. Literature Review Zamnopoulos and Alexio emphasized that control is an inevitable part of any organization. Supervisors and colleagues highlighted the desirability of monitoring and control components, although slight differences exist in their sub-components. Regarding intra- and extra-systemic links, extra-systemic links were found to be more appropriate, with a focus needed on strengthening intra-systemic links. Hashem Beik et al. noted the status of loose and tight links at Isfahan University of Medical Sciences. The hierarchy component's sub-component scored higher, emphasizing its importance in the cybernetic model. Nechansky demonstrated that cybernetic structures can adapt to their environment. In decision-making, the decision-making resources sub-component scored higher. The effective management and leadership component, examined in five dimensions, showed that participatory leadership was more appropriate than other dimensions. Brinbaum stressed the importance of interaction among different academic systems and recognized the coordinating role of leadership in academic libraries. MethodologyThis quantitative study investigated the status of cybernetic model components for optimal management of university libraries. The statistical population included experts and specialists in information science and epistemology, as well as managers of central libraries at type 1 medical sciences universities in Iran. A questionnaire was used to collect data from 97 professors and librarians, and the results were analyzed. Results The study included 42% men and 58% women. Among the participants, 25% had a bachelor's degree, 45% had a master's degree, and 30% had a doctoral degree. Most respondents (65%) had over ten years of work experience, while only 3% had less than ten years. The average scores for the monitoring component in the structural and social dimensions were 29.43 and 33.14, respectively. The system link component scored 18.41 for extra-system links and 14.52 for intra-system links. The hierarchy component scored 11.23 for the divided system dimension and 11.66 for the hierarchy dimension. The interaction quality component scored 11.78 for the non-linear dimension and 11.53 for the causal dimension. The decision component scored 14.91 for decision resources, 15.07 for decision type, and 14.73 for decision criteria. Discussion The findings indicate that the monitoring and control components in the cybernetic management model of academic libraries are appropriate and have a tangible impact on the model's structure. Extra-systemic links were found to be more effective than intra-systemic links, highlighting the need to strengthen the latter. The hierarchical sub-component scored higher within the hierarchy context, and participatory leadership was more effective than other dimensions. Conclusion The research findings suggest that the components of the cybernetic model are well-placed in the libraries of medical sciences universities. This reflects the awareness of university library managers regarding the structure, goals, tasks, services, and functions of academic libraries. However, this knowledge is not equally appropriate across all dimensions, leading to an imbalance in the state of dimensions and components. Consequently, the progress and effectiveness of the models are not as impressive. Therefore, it is recommended to focus more on the social role of library users in interactions and guidance, and to maintain a balanced approach to the quantitative and qualitative growth of all dimensions in library management.

AbstractObjective: The purpose of the research is to study the effect of organizational dimensions including information culture, organizational ownership of information and job independence; Individual dimensions include the tendency to share information and comfort with the computer, and after information, the characteristics of computer-based information on the use of the health information system of Amir al-Mominin Hospital of Ahvaz.Methodology: The research is applied in terms of purpose and analytical survey in terms of nature. The research population was 250 users of hospital information systems, of which 151 were selected randomly. Data were collected through a researcher-made questionnaire based on previous research tools. The instrument's content validity approved. The confirmatory factor analysis and its reliability were confirmed using Cronbach's alpha (α=0.85). Data were analyzed by SPSS and Amos software.Findings: The findings showed that information culture (β = 0.20 and t-value = 2.440), organizational ownership of information (β = 0.18 and t-value = 2.165), tendency to share information (β = 0.22 and t-value = 2.708), job independence (β = 0.17 and t-value = 2.119), comfort with computer (β = 0.24 and t-value = 2.929) and The characteristics of computer-based information (β = 0.17 and t-value = 2.055) have an effect on the use of the health information system of Amir al-Mominin Hospital of Ahvaz.Result: The result is that the use of hospital information systems is a complex multidimensional issue and various individual, cultural, organizational and technological characteristics have an effect on it.

Purpose: The aim of this study was to identify the relationship between information literacy and professional ethics, knowledge sharing and social capital of librarians of public libraries in East Azerbaijan province.Method: The present study is applied. The research method is descriptive-correlation and specifically based on structural equation modeling. The statistical population includes all the staff of public libraries of East Azerbaijan province with 370 people. 250 of them were selected by simple random sampling. Four standard questionnaires were used to collect information in this study.Findings: The findings showed that information literacy, professional ethics and knowledge sharing in librarians are high and social capital is moderate. There is also a positive and significant relationship between information literacy and professional ethics, knowledge sharing and social capital, and this means that information literacy has a direct effect on professional ethics, knowledge sharing and social capital.Conclusion: Strengthening the level of information literacy promotes the level of professional ethics, knowledge sharing and social capital of public library librarians. Therefore, public library managers should try to increase their information literacy in order to strengthen the professional ethics, knowledge sharing and social capital of librarians.

1.IntroductionUniversities need to manage their knowledge assets and work creatively to maximize the enablers and minimize the barriers associated with knowledge management processes. Globally, universities are considered key drivers of the economy and have significant potential to act as engines of economic growth and development. However, universities face a wide range of challenges, including the emergence of the knowledge society, the globalization and internationalization of universities, reduced funding and government support, increasing undergraduate enrollment, and expanding access (Ramjeawon & Rowley, 2020). Effective knowledge management practices help universities improve their efficiency and effectiveness, become more competitive, and contribute to the wealth of their countries (Fussy, 2018).The purpose of the present research is to examine the status of the infrastructural indicators of the successful implementation of knowledge management at Golestan University at three levels: managers, faculty members, and scientific assistants, and design a predictive model for it. For this purpose, the status of various infrastructure dimensions such as management, information technology, human resources, organizational culture, and organizational structure for the successful implementation of knowledge management in the university was examined, and then based on the knowledge management infrastructure indicators and using artificial neural networks, an optimal predictive model was presented.2.Literature ReviewPrevious studies have identified several enablers (factors that enhance knowledge management) and barriers (factors that have an adverse effect on knowledge management). Many of these factors can have a positive or negative impact on knowledge management processes such as knowledge creation, knowledge sharing, and knowledge transfer. The most frequently identified factors include culture, rewards and incentives, technology, leadership, organizational structures, and university-industry linkages. Few studies have also identified the importance of strategies and policies, human resources, and resources and budget (Ramjeawon & Rowley, 2020). In past research, approaches to barriers to knowledge management implementation have varied. Wolf et al. (2024) identified three root challenges that frequently appear in the path of knowledge management implementation: 1- Organizational prerequisites for implementing a knowledge sharing culture 2- Use of ICT for knowledge transfer 3- Knowledge transformation. Remus (2012) distinguishes challenges to implementing knowledge management based on the stage of the implementation process in which they appear (such as knowledge creation, sharing, transfer, or retention).3.MethodologyThis research is based on the purpose of applied research and was conducted using a survey method and an analytical approach. The statistical population of the research was managers, faculty members, and scientific assistants. Due to the limited research population, the Morgan table was used. The sample size required for the present study was 187 based on the statistical population of 365 people, and on this basis, 190 questionnaires were collected. Data collection was carried out through a questionnaire using a relative stratified sampling method. In the first part of the questionnaire, the demographic information of the respondents, including gender, education, etc., was collected, and in the second part, the research variables were measured. In the first step, the status of Golestan University in terms of infrastructure indicators for maintaining and developing human resources knowledge was examined at three levels of managers, faculty members, and scientific assistants, and the results of each class were compared. In the second step, artificial neural networks were used to predict the maintenance and development of human resource knowledge based on infrastructure indicators.4.ResultsAn examination of the status of human resource knowledge maintenance and development factors at the overall level of Golestan University shows that, in a general view, the level of management variables, organizational structure, and organizational culture is not in a desirable state and is below the average level, and the human resource and information technology variables are above the average level. In order to predict the success rate of human resource knowledge maintenance and development at Golestan University, artificial neural networks were used. The results showed that the present research model with three neurons in the hidden layer will reach the highest level of prediction accuracy, which is 0.893. The results of sensitivity analysis using artificial neural networks showed that all the infrastructural dimensions of human resource knowledge maintenance and development studied in the present study are important in the success of knowledge management and their existence is mandatory in the university complex, but the dimensions of reward, support, and knowledge sharing have been assigned the first, second, and third ranks, respectively, which indicates the greater importance of these dimensions than other dimensions based on the impact on the predictive power of the model.5.DiscussionThe results showed that in terms of the status of the human resources knowledge maintenance and development indicators at Golestan University at all three levels of managers, faculty members, and scientific assistants, the status of the two factors of human resources and information technology is above the average level, and the status of the three factors of organizational culture, organizational structure, and management is below the average level. In other words, there is consensus at each level studied at Golestan University regarding the identification of the most important obstacles to the implementation of knowledge management. On the other hand, although in terms of the status of the infrastructural indicators of knowledge management at Golestan University at all three levels of managers, faculty members, and scientific assistants, the two factors of human resources and information technology have obtained numbers above the average level, the numbers obtained are not so impressive and desirable that these two factors can be considered as strengths in the implementation of knowledge management and it can be inferred that the university is in a good position in these two factors and does not need any activity. In fact, the results of this step show that the infrastructural indicators at Golestan University, especially in the three factors of organizational culture, organizational structure, and management, require immediate attention and action.6.ConclusionThe findings showed that in the barriers to maintaining and developing human resources knowledge, three factors of organizational culture, organizational structure, and management are below average, and two factors of information technology and human resources are slightly above average. Also, the use of artificial neural networks to predict the level of maintaining and developing human resources knowledge showed that the current research model with three neurons in the hidden layer will reach the highest level of prediction accuracy, which is 0.893, and the dimensions of reward, support, and knowledge sharing, respectively, have the highest role in the predictive power of the model. The results showed that the infrastructural indicators of knowledge management at Golestan University, especially in the three factors of organizational culture, organizational structure, and management, require immediate attention and action.AcknowledgmentsWe would like to express our deepest gratitude to Golestan University for participating in this research and covering the costs in the form of a customized research project.

The present study was conducted with the aim of the structural equation modeling of the relationship between emotional intelligence, communication skills, social media literacy, and knowledge sharing among Librarians of public libraries in East Azarbaijan province. This research is based on the nature and general characteristics, quantitative; and based on the research and data collection method, it is a description of the correlation type based on structural equation modeling. The statistical population of the research was the librarians of the public libraries of East Azarbaijan province in 1401 (n=401). Four standard questionnaires, including the Schutte emotional intelligence questionnaire (1998), Zadboud et al., communication skills questionnaire (2022), Mojaradi social media literacy questionnaire (2014), and Ajzan knowledge sharing questionnaire (2006) were used to collect data. The reliability of the questionnaire was determined by the Cronbach alpha coefficient, which was equal to 0.89, 0.86, 0.81, and 0.79 respectively. Using SPSS and Amos software, data analysis was performed at both descriptive and inferential levels. Findings showed the fit of the conceptual model presented regarding the relationship between emotional intelligence, communication skills, social media literacy, and knowledge sharing among librarians (RMSEA=0.78, CFI=0.94, GFI=0.98). Also, it is recommended that in Iran's educational system and by the Iran Public Libraries Foundation, necessary planning should be done to strengthen the mentioned variables, especially emotional intelligence.