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This research investigates the impact of database quality, reputation, credibility, and comprehensiveness on graduate students' information use with the mediating role of empowerment at Shahid Chamran University of Ahvaz. The design of the study is descriptive-causal. The research instrument is a questionnaire. Cronbach's test was used to check the reliability of the questionnaire. The results of this test were equal to 0.842, which showed the excellent reliability of the questionnaire. The research population included all graduate students (N= 5137) of the Shahid Chamran University of Ahvaz. Research sample (N=358) graduates were selected based on Krejcie and Morgan’s table via random sampling. The results showed that the quality of database resources has a positive and significant effect on the use of database resources among the Shahid Chamran University of Ahvaz graduate students. In addition, the reputation of database resources has a positive and significant effect on the use of database resources. The results also indicated a positive and significant effect of resource validity on the use of information resources. Furthermore, the comprehensiveness of resources positively and significantly affected the graduates' receipt, use, and ability to use resources. Finally, the implications suggest that the quality of information resources on the receipt and use of information affect the comprehensiveness of information resources and the use of resources mediated.

The aerospace industry and technology are always considered one of the country’s most important and valuable industries. The research area of "Aerospace" is among the priorities of the grand science and technology development strategies, and addressing it is strategically vital. The present research aims to estimate and predict the appropriate algorithm for identifying high-quality aerospace researchers based on Advanced Ensemble Classifier Techniques (AECT) in data mining on the outputs of scientometric analyses and predicting the most essential scientometric-related metrics to identify high-quality researchers. The present study was performed using the protocols of applied research and multiple methods. The studied population includes all aerospace researchers (1945 and 2021) indexed in "The Web of Science Core Collection (WOSCC)". DataLab software and multiple programming languages have been applied in this research. All three algorithms have an accuracy of 0.96 and an F1-score of 0.97, which indicates that the models have high accuracy, validity, sensitivity, and predictive power. The "Blending" algorithm is considered a suitable and predictive model. The output of the LightGBM algorithm is that the most important and robust metric in the evaluation of prominent researchers is a metric from the researchers' effectiveness dimension, the Q parameter. According to the knowledge obtained from the ability to predict AECT in the prediction of high-quality researchers, it is possible to use the metrics mentioned in the evaluation of researchers in the field of scientometrics for more accurate and comprehensive prediction. An algorithm that can lead to the optimal and efficient classification of researchers provides the possibility of in-depth analysis of the available data about researchers and smooths the predictive power of the most high-quality researcher. The use of the proposed algorithms in this research, while suggesting the appropriate algorithm, led to reliable and valuable knowledge in classifying high-quality aerospace researchers.

Recent developments in emerging technologies have enabled users to interact with social networks. Nowadays, one of the ways of interaction is to understand the real feelings of people at the moment, the outcome of which, based on the people’s reaction and attitude, appears in analyzing feelings like facial features, type of speech, or the people’s jobs such as video, photograph, voice, and text. In this research, through deep learning and machine learning in the AI, the sentiment analysis has been studied and evaluated using AI and deep learning algorithms like motion detection, body language recognition, image processing, sound and text processing, computer vision, natural language processing and different network techniques. The paper, providing a new conceptual model design, has provided more details about sentiment analysis in social networks by incorporating AI techniques in social networks with high speed and accuracy.

This study investigated the effects of computer self-efficacy, computer literacy skills, and cognitive skills on the use of electronic resources among social science doctoral students in Nigerian federal universities. The methodology adopted was the survey research design of the correlational type and a stratified random sampling technique was used to select 2,108 from the population size of 3,342 in 33 faculties of social sciences. Results of the research revealed that there were significant relationships among computer self-efficacy, computer literacy skills, and cognitive skills on the use of electronic resources among social science doctoral students. Computer self-efficacy, computer literacy skills, and cognitive skills have a significant joint effect on the use of electronic resources among Social Science doctoral students in Nigerian Federal Universities. It was therefore recommended that curriculum upgrades be done from undergraduate to postgraduate level that will inculcate the use of computers for learning and various presentations to enhance computer self-efficacy, computer literacy skills, and cognitive skills of doctoral students.

This research aims to examine the nuclear fusion technology field using the intellectual structure drawing technique. It is worth mentioning that the reason for focusing on this area, atomic fusion, is its peaceful applications and unlimited fuel to generate power. The proposed strategy in this paper includes all the keywords related to the research topic. VOS viewer and R Studio software were employed for data analysis. In addition, the principal research topics were extracted and classified using scientific maps. This analysis indicates the intellectual structure of the topic, which is grouped into four fundamental clusters using citation networks. This study additionally identifies emerging issues and future research directions implementing strategic diagrams. Another aspect of this study that reveals the intellectual foundation of the research is that it provides insights into the importance of crucial topics, institutions, and publications in terms of the field's focus and the results obtained from the analysis of the period 1991-2023. It informs that the conceptual evolution of nuclear fusion and its growth is proceeding.

This study aimed to investigate the attention given to scientific outputs about COVID-19 vaccines worldwide on social media. It utilized scientometrics and altmetrics indicators. A dataset with 12,364 works indexed in the WOS database from 2020 to 2022 was analyzed. Altmetric Scores (AS) and Altmetrics were extracted from Altmetric Explorer. Data analysis was performed using Access, Excel, and SPSS software. The retrieved articles garnered attention on 13 social media platforms. The highest amount of social attention, accounting for 97% of the total, was related to X (Twitter) and Mendeley. The highest AS (43,765) was for an open-access article entitled "Covid-19: Researcher blows the whistle on data integrity issues in Pfizer's vaccine trial: Video 1" in the BMJ cited in 14 social media. The most productive countries in COVID-19 vaccine research were the USA, England, and China, while Harvard University, the University of London, and the University of California emerged as the most active research institutes. The findings confirmed a significant, moderate, and positive correlation between the AS and most Altmetrics with the number of citations. Additionally, a positive, substantial, and moderate correlation was observed between citations, the AS of highly-cited papers, and the AS of hot documents. Considering the positive impact of social media on increasing the chance of receiving more citations for articles and improving the impact range of articles from academic users to social users, the activities of researchers in social media are effective in increasing the visibility of scientific works.

The present study aims to analyze the acceptance times of scientific papers presenting bibliometric analyses of COVID-19 literature published in the first phase of the pandemic. We collected the data from the Web of Science of Clarivate Analytics. The analysis considered various aspects of the papers and the published journals, such as document type, impact factor (IF) quartile rank of journals, and journal indexation. An initial search yielded 149 papers, 91 of which were selected for further analysis after excluding editorial materials and articles unrelated to COVID-19 and bibliometrics. We should have collected the required submission history information for fourteen of the 91 papers. The analysis revealed that acceptance times of bibliometric analyses on COVID-19 literature ranged between 1 and 238 days, with a median of 47 and a mean of 66.4 days. Most papers had shorter acceptance times than the mean, with only a few documents being accepted after a long wait. Journals without IF had lower acceptance times than those with IF, whereas journals with an IF between 2 and 2.99 had the most extended acceptance times; similarly, second- and fourth-quartile journals had a shorter acceptance time for papers than first- and third-quartile journals. Journals indexed in ESCI accepted documents in less time than journals indexed in other databases. In conclusion, scientific journals joined the rush to publish COVID-19-related research, as they shortened acceptance times for bibliometric analyses on COVID-19 literature published during the first phase of the pandemic compared to the period before the pandemic.

Science, technology, and innovation policy-making laboratories, by providing policymakers with educational, research, and consulting services, before the introduction of policy recommendations to the regulatory and legal structures, make it possible to test the policies on a small scale. Thus, the waste of huge resources allocated to the development of political solutions and additional damages may be prevented. On the other hand, future research as a process gives a more complete understanding of the forces of the long-term future, which should be taken into account in developing policy-making, planning, and decision-making. Therefore, future research of science, technology, and innovation policy-making laboratories to synchronize with today's world and for optimal policies is a necessity addressed in the present study. This study was applied in terms of objective and mixed in terms of method (literature review). In this survey, experts' opinions, interaction analysis, and scenarios have been used. The approach of the present study was future research. For data analysis, the SPSS, MicMac, and ScenarioWizard were used. The statistical population included a group of experts in the field of science, technology, and innovation policy-making. The analysis of data related to different states using ScenarioWizard showed that the probability of occurrence of 9 scenarios was more than other scenarios and the probability of occurrence of other 297 scenarios was very small and weak. The initial review of the scenarios showed the relative dominance of static state over desired and critical states. Out of 9 scenarios, 4 scenarios were strong and more probable. Scenario 1 with an impact score of 221 was the strongest, most desired, and most probable scenario facing science, technology, and innovation policy-making laboratories. Scenario 2 with an impact score of 181 was one of the most desired and probable scenarios facing science, technology, and innovation policy-making laboratories. Scenario 3 had an impact score of 102. Under this scenario, 4 key influencing driving forces were desired and 8 key influencing driving forces were static. Scenario 4 had an impact score of 65. Under this scenario, 8 key influencing driving forces were static and 4 key influencing driving forces were undesired.

In crises, people usually experience uncertainty and seek information to solve and share that information. One of the recent crises was COVID-19. The present study aimed to study the information behavior (Information-Seeking, Information sharing, Media Credibility) during the COVID-19 crisis. A descriptive quantitative research design was employed. Data for this research was collected through a questionnaire from 1,073 Iranian individuals. Cluster sampling was used, and participants were selected using snowball sampling. The findings showed that the first three media to access information during the COVID-19 crisis were Internet news sites, social networks, and traditional news media (TV, newspapers, etc.). The first three media for sharing information were phone conversations with acquaintances and friends, groups in social networks, and face-to-face information sharing with acquaintances and friends. Also, TV and social networks are the most trusted media for receiving information among participants who prefer to believe the information provided by the mass media when they have a conflict in choosing between the information received between mass media and interpersonal channels. Generally, during the COVID-19 crisis, participants obtained more information from official and government information sources, but they shared information through social networks and phone calls. Also, when there is a conflict to choose between information channels, they tend to use mass media such as TV rather than personal channels. Also, in terms of orientation to information, they did not seek more information, did not avoid the obtained and existing information, and did not show apprehension.

This research analyzes the criteria of academic staff members of Shahid Bahonar University for valuing information as an asset. The research method is a descriptive survey, and the statistical population of the research is the faculty members of the Shahid Bahonar University of Kerman. The data collection tool was a researcher-made questionnaire, and the validity of the questionnaire was confirmed by experienced professors and experts from Cronbach's alpha, which was calculated as 0.764. Data was analyzed using SPSS version 23 software descriptive statistics and one-sample t-tests, and Friedman was used. The findings showed that in the Shahid Bahonar University of Kerman, the criteria of the number of scientific productions leading to the development of knowledge, the number of scientific productions leading to the development of the organization's goals, and the number of scientific productions leading to effectiveness using the value of productivity, the criterion of paying the subscription fee to use Databases are valued with the information use value index. No measures of information are valued with the exchange value index. Based on the Friedman test, the criteria of "value of paying a fee to meet information, educational and research needs," "credit value of paying a fee to meet information, educational and research needs," and "value of paying a fee in influential databases to meet information needs, Educational and Research" are in the first to third categories respectively. What is obtained from the results of this research is that in three important and influential areas of productivity, use of information, and exchange value of information, faculty members pay the most attention to the issues related to the production of information for the development of knowledge and organization, as well as the cost of information consumption and the value of information. They are aimed at payment.

Social Media Marketing (SMM) has impacted marketing significantly in the past decade. This study uses bibliometric and content analysis to examine academic research on Social Media Marketing (SMM). Focusing on the Scopus database, the research analyzed 899 papers from 2011 to 2021, excluding duplicates. We employed performance analysis, science mapping, and content analysis to understand social media marketing comprehensively. The top journal publishing SMM papers was the Journal of Interactive Marketing, with 6424 citations and 41 articles. The most influential author was Hollebeek L D..Science mapping revealed that ‘"influencer marketing",’ ‘"social media advertising,"’ and ‘"social media"’ are the trending themes in SMM. These themes complement the results found in co-citation clusters. Future research should use new theoretical frameworks like the Consumers Online Brand Related Activities (COBRA) Framework and apply Pierre Bourdieu's social capital theory in the context of SMM. This study offers a comprehensive understanding of social media marketing by visualizing the latest fields of research and trending themes. This study identifies various strategies used in social media marketing and how marketers can garner high engagement. This study utilizes various bibliometric methods to deliver a broad view of social media marketing and content analysis. The latest trends in the field are identified through science mapping techniques. Further, it also gives insight into the top authors and journals that prominently publish literature on social media marketing.

Despite the importance of Marketing Intelligence (MI) and the Internet of Things (IoT), Customer Relationship Management (CRM), and Customer Experience Management (CEM) in the competitive context, more research on the integration of these concepts for sustained competitive advantage is necessary. Thus, Snow Company must effectively utilize these concepts to establish a sustained competitive advantage. Therefore, this study investigates the impact of IoT, CRM, CEM, and MI on attaining sustained competitive advantage. By employing a structural equation model and Smart-PLS software, we analyzed data collected from 186 managers and employees of Snowa Company. Our findings indicate that integrating IoT, CRM, and CEM concepts into marketing intelligence is the most beneficial strategic approach for achieving sustained competitive advantage for Snowa Company. Through this integration, company managers can enhance their marketing and innovation capabilities, strengthen strategic solutions, and achieve sustained competitive advantage.

The number of papers and scientific productions published in journals indexed in indexing/abstracting databases is used as a measure of the growth of science. One of the reasons for the ability of the Islamic Republic of Iran in various fields can be attributed to the scientific growth of Iran in recent years. This survey used scientometric approaches for measuring the scientometric indicators at hand. The research population included all papers authored by Iranians indexed in Web of Science (WOS) from 1980-2021. Accordingly, in this research, the quantitative growth of Iranian science during the four decades after the Islamic Revolution of Iran (by counting the number of indexed papers in the Web of Science) and the factors affecting the growth of Iranian science are examined. Factors such as the growth in the number of faculty members, the growth in the number of graduate students, the promotion regulations of the Ministry of Science, Research and Technology (MSRT) and the Ministry of Health, and Medical Education (MHME) along with encouraging policies for scientific production in Iran and the comprehensive scientific map of the country, Scientific research towards the needs and priorities of the country, the graduation regulations of graduate students, other social, political, cultural and international factors analyzed. The results of the four decades of Iran's science production showed that the highest amount of Iran's science production, i.e., more than 75% of Iran's science production, occurred in the fourth decade (2011-2021). In general, in the second period (2001-2021), the relationship between academic degrees and science production is significantly higher than in the first period (1980-2000). In 2023, Iran will be the fourth largest producer of nanoscience in the world with 7.30 percent of the world's science production in the field of nanoscience, and countries such as Japan, South Korea, Germany, France, England, and Italy are after Iran. The results of analysis and investigation of the research also showed that the number of graduates at both master's and doctorate levels, as well as the population of full-time faculty members of the universities, were proportional with the production of Iranian science in these years There has been an increasing trend from 1980 to 2021. Despite the ups and downs of the share of research in the gross national product in Iran, which has always decreased and was less than one percent, the growth of science in Iran has been on an upward trend. According to the number of Iranian scientific publications in the WOS database at the end of 2021, which has reached 56,000, it seems that due to the growth of Iran's scientific productions, we can hope that the number of Iranian scientific publications will reach 2026 (1404) by the end of the Horizon program has arrived.

This study examines scientific productivity in Middle Eastern (ME) countries within the discipline of Library and Information Science (LIS) for the entire period for which data is available, 1979-2023. The productivity of ME countries in all document types was only 1.49% under the LIS research area. Although academic productivity has increased considerably over the years, the contribution of ME researchers to global LIS discourse remains limited. The five most productive ME countries in LIS are Turkey (23rd), Iran (26th), Israel (31st), Saudi Arabia (42nd), and United Arab Emirates (46th). While Israel ranks the highest for international collaboration, institutions in Iran and Turkey are more likely to cooperate at national levels. Articles in the field of LIS were found to be highly related to computer science (f: 1894), business economics (f: 612), and health-related research fields (f: 206). In addition, knowledge management, social media, academic libraries, information retrieval, Internet, e-government, and bibliometrics were the most intensively studied topics. The study is crucial to appreciate the general situation of the LIS field in a region containing cities that have hosted the largest libraries in history (such as Alexandria and Beytü'l-Hikme). The Middle East has an important heritage for library and information science and this study’s findings open the discussion of how the region can perform better. Policymakers and those developing higher education policies in the region should emphasize infrastructure development, public awareness, education, research and academic programs, international and regional cooperation, policy, and support for collaboration and sharing.

Digital Libraries have emerged as an essential component of worldwide information infrastructure, adopting the latest Information and Communication Technology (ICT) to promote an organizational structure that encourages communication and resource sharing between academicians and researchers across the countries. The study explored global digital library literature that has been carried out in the years 2007-2021 based on various scientometric indicators such as publication output, prolific author, collaboration network by author, productive institution, and country. The key term "digital library" was used in our search strategy from the Web of Science. The data was saved and imported into R Studio and VOS viewer for analysis and illustration of our data. We accessed 5855 records retrieved from the Web of Science. The United States had the most documents published, followed by China and England. The journals of Electronic Library were ranked first. The University of California System was the top organization with many scientific publications with 5549 citations. This research gives scholars and practitioners a thorough overview of the key research issues and trends in digital library research worldwide. Digital libraries worldwide have impacted the research society. It is an extension of a physical library into an electronic library. This study is very significant in the current scenario to know the global growth rate of scientific literature.

One of the new approaches to organizing journal articles is using Semantic Web technologies and new "Semantic Publishing" methods based on the ontological models for semantic modeling and representation of these publications. This study aims to design the metadata ontology model for semantic modeling and representation of scholarly journal articles. This research was carried out using the content analysis method. The study population includes articles published in ISC journals (i.e., journals indexed in ISC). A sample of 200 articles from a Persian journal (i.e., "Iranian Journal of Information Processing & Management") and an English journal (i.e., "International Journal of Information Science and Management (IJISM)") were considered for semantic modeling and representation using the metadata ontology model. The data-gathering method was a systematic observation, and the data-gathering tool was a checklist based on the Semantic Publishing and Referencing Ontologies (SPAR Ontologies). This research identified the metadata entities required for semantic modeling and representation of ISC scholarly journal articles. Then, the metadata ontology model was designed using Protege (an ontology editor) and the RDF representation of the model was created in RDF/XML Syntax. After designing the metadata ontology model, the RDF graph of this model was developed to analyze the entities and relationships between them, and its results were analyzed. The results of RDF graph analysis show that the design of the ontology model and the creation of the RDF links between entities significantly impact the semantic description and representation of metadata entities of the ISC scholarly journal articles and the network of relations between them.

Following the increase of false news about the COVID-19 disease and the psychological and social effects that have resulted, detecting fake news during the COVID-19 pandemic is one of the critical things that can be effective in this field. Therefore, the current study investigated the relationship and role of media literacy in predicting students' ability to detect fake news during the COVID-19 pandemic. This research was applied using a descriptive survey method. The statistical population of this research consists of all the students of Razi University; 371 students were selected as the sample population by stratified random sampling. A standard media literacy questionnaire with 20 questions was used to collect data and a researcher-made questionnaire on the ability to detect fake news in the COVID-19 pandemic based on the eight components of the IFLA notification in 34 questions. The results showed that the level of media literacy and the ability to detect fake news during the COVID-19 pandemic is average. Media literacy, with a correlation coefficient of 0.56, has a positive and significant relationship with the ability to detect fake news during the COVID-19 pandemic. Moreover, with a path coefficient of 0.64, the predictive power detects fake news in the COVID-19 pandemic more than students. Training and measures should be taken to improve students' media literacy skills and increase their ability to deal with fake news.

During COVID-19, the authenticity and degree of marketing information services at Al-Balqa Applied University Center (Salt) confronted various challenges in obtaining information sources. This study however aimed at examining those issues and challenges using a questionnaire designed for library patrons. Based on the findings, the library should take a further step ahead by developing plans and strategies to boost the level of techniques to offer services to users and to expand continuous training programs. The limitations of the library and its services in this area are reflected in the problems that the community customers experience. The study also aimed at examining the library's potential role in marketing services, which was represented in the educational process and scientific research to develop and interact with worldwide quality standards as well as the implementation of local environmental laws

With the increase of studies in the field of university-industry cooperation, the need to integrate studies that have investigated the research process of this interaction has become more apparent. In this regard, the present research analyzed the review and bibliometric studies of the interaction between university and industry using a scoping review. The guide provided by Daudt, Van Mossel and Scott (2013) is the basis for conducting the scoping review. We used international databases, and 2,590 articles were retrieved. After sampling based on the PRISMA diagram and using the JBI institute for the quality of the selected sources, 64 articles were selected for the final analysis. A review of studies analyzing university-industry interaction showed that research publications in this field have grown despite random fluctuations. Various factors account for the growth of studies in this field, including transforming the missions and activities of universities by moving towards entrepreneurship and commercialization of research and the formation of entrepreneurial universities, increasing technology transfer offices, the growth of inventions in universities, and expanding research collaborations. The most crucial obstacle to university-industry alliances is the difference in their goals and missions. Intermediary institutions, especially science parks, and incubators, are essential for effective communication between universities and industry. Some of the most critical topics in University-Industry Interaction are innovation, economic development, sustainable development, science parks and incubators, start-ups, spin-offs, knowledge transfer, technology transfer, entrepreneurship, and research commercialization.

Developments in information and communication technologies have created a new type of voluntary activity called online volunteering, in which volunteers fulfill their duties from outside the workplace. Therefore, this study aims to identify and categorize online voluntary activities available to public libraries and information centers. This applied research was conducted using the survey method. Data collection was performed using observation and Delphi method. The participants in the Delphi survey rounds included 15 experts in the field of information and knowledge science (faculty members, library managers, and library sections' directors) who were interviewed in two rounds, and their opinions were used to conclude. The present study's findings suggest that 33 different voluntary activities can be performed as virtual volunteering in public libraries. These services can be divided into three general categories: content development, training/counseling, and promoting/informing. Among these, content development with 22 different activities has the most possibility of online volunteering activities, training/counseling with six activities, and promoting/informing with five activities are the following categories, respectively. In addition, for each of these three categories, relevant general competencies are presented separately, while for 33 voluntary activities, specialized goals and competencies are suggested by experts. Considering the variety of activities that public libraries can perform virtually through their volunteers, it seems necessary to identify the capacities and capabilities of libraries and volunteers so that the maximum efficiency of volunteers is achieved in reaching the library's goals. No study on identifying and categorizing voluntary activities in public libraries and information centers is available. While identifying and categorizing these activities, the present research mentions the goals for each activity and specifies general and specialized conditions for volunteers to perform the same activity.

Social networking tools are the inevitable essence of life. The flexible structure of social networks paves the way for communication and collaboration between users and librarians. So here, the paper constitutes a study of the central libraries of Four multidisciplinary universities in Kerala in terms of the usage of social networks and digital infrastructures for promoting and marketing library information sources and services. Data collected from the official library websites, Web portals and social media applications of Kerala University Library (KUL) of the University of Kerala, Mahatma Gandhi University Library (MGUL) of Mahatma Gandhi University, Hermann Gundert Central Library (HGCL) of Kannur university and CH Mohammed Koya Library (CHKML) of University of Calicut in Kerala, other universities libraries in Kerala have no sufficient social media or official websites for the knowledge organization and communication. The study determines the social networking tools and digital infrastructure used for information communication, Knowledge organization, Knowledge distribution, and Information promotion in the central Libraries of four multidisciplinary universities in Kerala. The study also portrays the benefits of social networking tools in libraries, marketing techniques used to deliver information sources and services, and implementation of 4P’s in Multidisciplinary university libraries of Kerala. These four central libraries of four universities in Kerala have an enormous collection of social networks like Facebook, Twitter, YouTube, WhatsApp, etc. All the libraries of multidisciplinary universities in Kerala use websites to organize their information. Mahatma Gandhi University Library of Mahatma Gandhi University is in the first position for using social media as compared to other university libraries. Facebook is the most common tool used by three central libraries of multidisciplinary universities in Kerala. CH Mohammed Koya University Library of the University of Calicut not using social media instead they take advantage of Chatbot, Web Portal, and Digital Library.

The study sought to assess the use of reference management software among final-year students at technical universities in Ghana. Further, it sought to determine the role of training and support in using Reference Management Software in the two technical universities selected for the study. The explanatory sequential design was used for this study. Data was collected purposively from Accra Technical University, and convenience sampling was used for Takoradi Technical University. 210 copies of the questionnaire were distributed to final-year Bachelor of Technology students from both universities. Interviews were conducted with six information literacy instructors in both institutions. From the findings, Mendeley was the most used Reference Management Software among students of the two universities; Accra Technical University students were more aware of Reference Management Software than Takoradi Technical University students; Accra Technical University students used Reference Management Software more and were more confident in its usage than Takoradi Technical University students; but had challenges that were more fundamental than Takoradi Technical University such as inadequate basic infrastructure for training and support. From the results, training, and support rendered to students in Accra Technical University had a bearing on their awareness and usage of Reference Management Software. Thus, it was recommended that training time be extended to make enough room for practical sessions for students to grasp Reference Management Software

AbstractDeciding upon faculty members’ promotion or tenure is one of the most important tasks in higher education, and it has piqued the interest of researchers from different fields. This has led to an increased number of deep studies in recent years and resulted in an increasing publication growth rate. So, it seems essential that a comprehensive analytical study be done in this field with a bibliometrics approach aiming to identify research trends and patterns in the field of faculty members’ appraisal systems. The Web of Science was utilized for data collection through a search process on August 2, 2022, in which terms related to promotion, evaluation, and faculty members were searched in the topic section of all databases. By identifying research evolution (word and thematic evolution), core journals (Scientometrics), active countries (USA, United Kingdom, and China), types of research collaboration, and leading institutions in this field, policymakers can gain insights into the current state of research in this area and make informed decisions about future directions for faculty evaluations. Policymakers can use the study's findings to identify which institutions are leading the way in faculty appraisal research and collaborate with them to share best practices. Thematic mapping also allows for the identification of emerging research areas and helps researchers develop effective research strategies. Overall, this study's findings can help universities and policymakers develop more evidence-based and effective faculty member evaluation policies that promote academic excellence and contribute to the overall success of higher education institutions.

This research analyzed the accounting field's scientific collaboration network and conceptual structure. All documents published in core accounting journals from 2006-2022 in Scopus with over 9 citations were examined. Scientific collaboration and co-occurrence networks were analyzed and visualized using VOSviewer software. The publishing of accounting documents is primarily led by three major countries: The United States, the United Kingdom, and Australia. Authors and institutions from these nations actively contribute to the publications in this field. Additionally, recent studies have shown a notable rise in research output in accounting from Malaysia, Germany, China, Italy, and Indonesia. The word co-occurrence revealed six subject areas within the field of accounting. These areas encompass emerging accounting and management control trends, financial reporting and market dynamics, sustainability reporting, corporate social responsibility, international financial reporting standards and accounting regulation, corporate governance, and firm performance, and audit quality and assurance. By tracking significant developments in accounting research, it becomes evident that the discipline has evolved from establishing foundational concepts and practices to focusing on financial reporting, auditing, corporate governance, international accounting, social and environmental considerations, technology integration, and specialized areas of interest.

The present study examined review articles in medical sciences and analyzed their citations of retracted Iranian papers. This was a quantitative and applied study using scientometrics and descriptive cross-sectional approaches. Review articles' citation trends of retracted studies were investigated using the quantitative method, and the status of the mentioned citations was determined using the descriptive method. The study population comprised 53 review studies that cited 28 retracted Iranian articles. The current study on review articles citing retracted papers revealed that most citations in 2019 were in the form of systematic reviews and meta-analyses by Iranian authors. These articles were occasionally published in journals with a high credibility and impact factor. Although the most frequent reasons for article retraction in the present study were scientific misconduct, most of the citing review articles did not mention this issue. Further research is required to determine the impact of referencing retracted articles on the results of review articles, especially systematic reviews, meta-analyses, and randomized clinical trials (RCTs), regarding the reasons for retraction.

This study considers a wide range of services provided by the largest Russian and foreign to their users. The authors used the quantitative content analysis method. In this study library was considered as source of reliable information in comparison to Internet resources. The authors studied modern services that have become popular with the emergence of digital forms for verifying information. In this way, libraries seek to create an optimal approach to implement cognitive, memorial, and educational functions within their direct activities. Library has a clear opportunity to provide its users with a range of necessary services and it can become one of the key actors in providing reliable information.

Mega journals are growing rapidly, and nowadays, they have become new portals for the publication of scientific outputs. The purpose of this study is to analyze the citations of the scientific outputs of Iran, Turkey, Egypt, Saudi Arabia, and Israel in eight mega journals. This applied research, which is a descriptive-analytical study, was conducted by employing a scientometric approach. In this study, eight mega journals were identified and selected based on Bjork's criteria. In each journal, the studies conducted by the researchers of selected countries of the Middle East, and indexed in the Scopus database were searched and extracted from the time the journal was launched as a mega journal to the end of 2019. The total number of studies imported to Excel, SPSS, and VosViewer software for analysis and illustration of the data was 10935. The results showed that approximately 84 percent of the studies performed by the researchers of the selected countries were published in PLOS ONE and Scientific Reports, and the share of the publication for the other six journals accounted for only six percent of the articles. Of the 262696 citations received by these articles, 57.86 percent belonged to the studies published in PLOS ONE. Moreover, PLOS ONE and Scientific Reports were among the most cited sources of the studies carried out in the Middle East. The most active institutes of the Middle East in the eight selected mega journals were Tel Aviv University, King Saud University, Cairo University, and Tehran University of Medical Sciences, respectively. Most of the international collaborations of the selected countries for publication of studies were with the researchers of Medical Sciences of the USA, the UK, and Germany. A considerable share of publications of the selected Middle East countries in the mega journals belonged to PLOS ONE and Scientific Reports. Although the trend of publication in the other journals is also rising, they are not comparable with those two journals. As conducting international studies could increase the rate of citations, it is recommended that researchers increase the impact of their publications via international collaboration.

The present research was conducted to measure the impact of organizational maturity on the main variables of the unified theory of acceptance and use of technology among library and information science experts in the public libraries in Mashhad. It is applied research in terms of purpose and correlation-descriptive research in terms of the data collection method. The research statistical population included all library and information science experts in Mashhad city, which were selected as research samples using random sampling. The questionnaire was used as a data collection tool. The average variance extracted (AVE) was used to assess the validity of the questionnaire, and the composite reliability (CR) coefficient and Cronbach's alpha coefficient were used to assess the reliability of the questionnaire. The structural equation modeling method (partial least squares method) was used with Smart PLS software to test the research hypotheses and the research conceptual model. According to the results, it can be stated that the variable of organizational maturity has a significant and positive effect on the components of the unified theory of acceptance and use of technology, including performance expectancy, facilitating conditions, social influence, purposeful behavior, but this variable does not have a significant and positive effect on the effort expectancy. Organizational maturity affects the acceptance and use of technology by public library librarians.

With the development of the Internet and information technologies, new communication tools have been created that allow researchers to present their research results and communicate with each other. Using visual and audio resources to share research results is a new type of scholarly communication essential for disseminating knowledge and has recently been the focus of journals. Our objective was to help authors, journal editors, and publishers become familiar with the criteria they should consider when producing standard video abstracts. This descriptive study used content analysis. We systematically searched the Web of Science Core Collection and Scopus to identify journals with video abstracts and analyzed their authors’ guidelines to extract the criteria needed for producing and evaluating video abstracts. The research community comprised 209 journals with video abstracts. After reviewing their authors' guidelines, we found that only 90 journals mentioned video abstracts in their authors’ guidelines. Of 90 journals, 22 dedicated authors’ guidelines and 68 journals belong to nine different publishers. Therefore, 31 authors’ guidelines were examined in this study using MAXQDA 12. We identified six main categories, six subcategories, and 87 criteria for producing and evaluating video abstracts. The six main categories included the type of video, technical features, provider features, presentation features, legal aspects, and criteria for publishing and sending video abstracts. Most criteria were related to the technical characteristics of video abstracts, and the least number of criteria were related to attention to legal aspects during the production and evaluation of these abstracts. The scientific community now uses video abstracts as a complementary medium to articles. Researchers can use this type of abstract to share their research results with others. Authors and journals should pay attention to the production criteria when planning to use this type of abstract so that by preparing a suitable video abstract, they can more effectively convey the results of their research to the audience and lead to the promotion of science.

Online health information seeking can be related to various factors. Past studies have shown that two factors of uncertainty and cyberchondria can play a role in this regard. In this regard, the present research was designed to investigate online health information seeking with uncertainty and other criteria using a descriptive survey method. It was carried out in the research community of Ahvaz health network clients. The data collection tool was three questionnaires, and the findings were analyzed using SPSS statistical software. The findings showed that in the sample of 260 people under investigation, the mean of online health information seeking in the group of women was higher than that of men, but no significant difference was reported. In examining the average uncertainty and cyberchondria in gender groups, uncertainty was reported higher in women than men (significant difference). However, cyberchondria was not significantly different in the groups of men and women. No significant difference was observed regarding the educational level. Among the research variables, the uncertainty and doubt in facing the information have increased online health information seeking among the visitors to the health centers of Ahvaz City. According to the current research results, planning and training in health information search and making valid health information accessible in various information platforms by the policymakers and managers of the country's health system is necessary and inevitable.

This paper examines the challenges in implementing the Resource Description and Access in bibliographic records and library software. To meet this end, a survey approach was employed, and a questionnaire was used to collect the data. The statistical sample size was determined as 95 librarians from Tehran University, 48 librarians from Allameh Tabataba’i University, and 35 librarians from Tarbiat Modares University. According to the results, the respondents believe that the main problems for implementing RDA in academic libraries in Iran are, in turn: “problems in switching to new library software", "problems of not having enough information and knowledge to implement RDA", "problems in the internal communication of libraries", "data incompatibility", "lack of a trustee to apply the RDA rules", and "problem with library users". Therefore, using a correspondence table and designing a comprehensive manual in library software is needed to guide the librarians and catalogers in implementing RDA.

Scientific productions result from researchers’ thoughts and efforts; when published in credible journals or indexed by valid databases and cited by other researchers, they gain credibility. Publications also gain more credibility when they are indexed in actual and valid citation databases. The publication of scientific products in these databases increases visibility and the possibility and opportunity to increase their citations. The present research aims to investigate the factors effective in citing the articles published in Iranian journals with Impact Factor (IF) indexed in Journal Citation Reports (JCR) 2020. This applied study was done using scientometric indices. The research population consisted of Iranian publications with IF indexed in the JCR in 2020. Microsoft Excel was employed for data collection, and SPSS software was used for data analysis. The results showed that Iran, with 27,446 citations, acquired about 17% of citing Iranian publications with IF indexed in the Web of Science Core Collection (WOSCC). Also, 53.31% of articles had an organizational affiliation (publishers and publishing country) to public universities. The variables “subject area, multiple authorship, number of references, and inter-university cooperation” positively and significantly correlated with the number of citations the Iranian publications with IF indexed in the WOSCC had received (citation rate). Also, the number of keywords, length of article titles, and inter-university scientific collaboration had no significant collaboration with the citation rate.

In recent times, authors of academic publications have depended on web resources. However, there have been some concerns raised on the permanency of e-resources on the web. In this context, this article investigated the availability, missing and recovery of Uniform Resource Locator (URL) citations cited in articles in the African Journal of Library, Archive and Information Science (AJLAIS) published between 2008 and 2017 using Internet Archive. A total of 986 URL citations in 129 research articles published in LIS journals were extracted. The finding showed that URL citations of the journal grew during the years 2008-2017 Finding further revealed that 986 represented 28.88% of the total 3414 references that appeared in the journal in the period under review. Of the total cited web citations 986 web citations 310(31.4%) were not accessible and 676 (68.6%) were accessible. This article adopted a W3C link checker to detect HTTP errors linked with missing URLs. HTTP 500 error messages (‘page not found’) were majorly the irresistible messages that denoted 20 per cent of all HTTP error messages. The highest percentage of missing URLs were associated with commercial domains. The attempt to recover 310 missing URL citations through Internet Archive increased the active web citations from 676 to 918 which accounted for 93.1% of active URL citations. This study further showed a negative correlation between path depth and missing URL citations. The statistical analysis of this research indicated that the number of citations and URL citations are positively correlated.

Literary warrants on 'Digital Citizenship' published since its inception are still countable. The search executed to identify the bibliometric literature on ‘Digital Citizenship’ retrieved a meager outcome. Therefore, the study was pivoted with the data retrieved from the SCOPUS database. By utilizing normalized data and citation analysis to evaluate the influence across the various groupings, it is possible to see an almost linear rise in 2021 on the topic. Statistical and visual modeling software tools (R-Biblioshiny, Bibliometrix) were used in the study. It examines what this means for how bibliometric methodologies are used and disseminated in various situations. The study by the authors addressed bibliometric analysis and categorization of articles as per Ribble and Choi. Moreover, the paper discussed three field Plots (Sources-Keywords-Authors) and the most relevant authors. Furthermore, the study tried to testify to the fitness of Bradford's Law, trending topics on the subject, co-occurrence network by keywords, topic growth over the year, and a thematic map of topics from 1999 to 2022. The results were quite impressive. out of a total of 377 articles on digital citizenship, a scattering of subjects with numerous overlapped concepts like digital literacy, digital competence, higher education, technology, digital divide, cyber-bullying, information literacy, digital citizenship education, privacy, secondary education, adolescents, digital education, empowerment, primary education, university students have been identified.

This study aimed to identify the quality of web pages retrieved by Parsijoo and Parseek Persian search engines and Google to respond to students' course-related queries. This study was conducted using evaluations from a researcher-made checklist. The first population included Persian and Google search engines selected from Persian, Parsijoo, and Parseek search engines. The second population included the keywords of the section for collecting data from the fourth, fifth, and sixth-grade elementary school science textbooks, from which 12 keywords were selected by simple random sampling. The third population included web pages retrieved for each keyword by search engines. From the first ten results retrieved in each keyword search, relevant pages were selected as the sample. The results revealed that the quality of the web pages retrieved by all three search engines, i.e., Parsijoo, Parseek, and Google, was above average. However, there was a significant difference between the engines regarding the number of relevant results. This is the first study investigating the quality of web pages retrieved by search engines to respond to students' course-related queries. The study results can help the designers and developers of Persian search engines improve their performance in retrieving high-quality pages and gaining a proper place among Iranian users.

Academic information systems (AIS) at universities provide convenience to students in online campus administrative activities. Universitas Muhammadiyah Gombong (UNIMUGO) has an academic information system. The realization of quality academic and administrative services is one of the university's efforts in building and developing AIS. This study uses e-ServQual and WebQual 4.0 methods to determine the quality of AIS services. This study aims to determine the impact of AIS quality on user satisfaction by comparing E-Servqual and Webqual 4.0. The respondents' data were analyzed by linear regression. The study's findings indicate which method is best for assessing the service quality of the AIS system, as well as additional recommendations for Universitas Muhammadiyah Gombong to assess the success of the existing AIS system. Questionnaires were distributed to 100 students by Google Forms. Data analysis utilizes multiple linear regressions to determine the level of influence between the independent variables (e-Servqual and WebQual 4.0) and the dependent variable (user satisfaction). The research results from hypotheses H1 and H2 equally state that the quality of the AIS system has a positive and significant effect on user satisfaction. Analyzing the e-ServQual results showed that the AIS system was of medium quality, while the WebQual 4.0 method was of excellent quality. The results of data analysis on the e-ServQual method showed that the independent variable could affect user satisfaction by 66.1% and 33.9% influenced by other variables. The WebQual 4.0 method showed that the independent variable could affect user satisfaction by 85.1% and 14.9% influenced by other variables.

patents are a significant competitive strategy to categorize commercial value based on the source information of technology; researchers use patent analysis as a practical tool to infer various types of information. This shows how important it is to retrieve and access them. Clustering is a method used in different fields to group similar natures. Citations are commonly used to cluster documents, and two methods are widely used for this purpose. The first method uses bibliographic coupling, and the second method identifies the words in the citation titles, also called co-citation. However, it is necessary to investigate which methods provide better patent clustering and retrieval results. This study examines citation contents instead of citations in building relevant groups of patents. Experimental research was done on a set of US patents. The analysis is divided into three phases. The first is appropriate databases to conduct patent searches according to the subject and objective of this study. The basic inventions and the experimental set were selected. Phase II, for developing a patent clustering system based on patent similarities and assisting the relationships among categories, we used fuzzy c-means (FCM) clustering because it can handle overlapping clusters similar to k-means. As fuzzy clustering is a kind of overlapping clustering, extended B Cubed precision and recall - measures for evaluating overlapping clustering - were used. Since patents can belong to multiple technology domains, in phase III, a Perl program was written to manage the matching process. The study involved creating two patent clusters using bibliographic coupling and citation title words, respectively. The results indicated that the bibliographic coupling method produced better clustering performance than the citation title words. Moreover, the cluster structure was more extensive in terms of exhaustivity than the citation title words. It's interesting to note that the use of cited patent title words resulted in a reduction of nearly 40% of the number of attributes. Additionally, when compared to the use of bibliographic coupling, the cited title words method had a nearly equal recall of clustering by cited patents in high exhaustivity. As a result, it appears that using cited title words may be preferable when the high exhaustivity approach is selected for patent clustering and retrieval.

In this study, we aimed to comprehensively analyze the altmetric indices of 1000 highly cited articles in the field of cancer, considering the growing importance of social media-based indicators as complementary tools alongside traditional bibliometric indicators for evaluating scientific outputs. Cancer research is a critical area in the medical community, being the second leading cause of death after cardiovascular diseases (CVDs). Conducted as a cross-sectional descriptive study, the bibliographic information of the research sample was obtained from the Scopus citation database. Data about the social media presence and altmetric attention scores (AAS) of each article were collected from the journal and altmetric.com. Subsequently, Excel and SPSS software were employed for analysis. Among the reviewed articles, 96.3% were shared on social media at least once, with Mendeley (99.6%), Patents (86.3%), and CiteULike (66.3%) being the most commonly used altmetric sources. The article titled "Dermatologist-level classification of skin cancer with deep neural networks," published in the Nature journal, obtained the highest AAS of 2864. Additionally, the majority of tweeters and readers were from the USA. Tweeters were predominantly members of the public, while readers were primarily professionals in medicine and dentistry, including PhD students. Spearman tests indicated a statistically significant moderate correlation between AASs and citations (r= 0.283, p-value< 0.001). Similarly, a significant weak correlation was observed between the journals' Impact Factor (IF) (r= 0.217) and CiteScore (r= 0.133) with the number of citations (p-value < 0.001). The findings of this study emphasize the positive impact of social media-based indicators on the number of citations received by scientific articles, making them valuable complementary measures alongside traditional citation indicators for evaluating research impact. We recommend that journals, authors, and researchers actively use social media platforms to enhance the visibility of their work and attract more citations.

A high volume of information can be provided to users regarding library services by branding Iranian medical libraries and information centers, and the position of libraries can be significantly improved. There is a minimal number of studies in this field in Iran. This study mainly aims to identify key branding components and create differentiation in the context of Iranian medical libraries and information centers (IMLICs). This study was conducted in two steps: (i) the literature on branding in libraries and information centers in reliable databases such as Scopus, Science Direct, Emerald, and Google Scholar was first reviewed, and finally, 33 studies were identified. Four components, such as librarians, services, building, and equipment, as well as technology, were found as important factors in the branding of public and academic libraries. (ii) A semi-structured interview was conducted with 14 managers and heads of libraries of Iranian medical sciences universities. The results showed the most important branding components in ILMIC as librarians, services, buildings and equipment, and technology. According to the results librarians' performance and personality characteristics, dynamization of specialized and general services, paying attention to the architecture of the library building and the installation and use of the equipment, and finally, the intelligent use of technologies and a strategic look at these components will lead to the formation of a positive mental image of Iranian medical libraries in the public mind, increase awareness of their services, and as a result, users' trust, loyalty, and satisfaction. Librarians play an important role in raising the users' awareness, trust, and loyalty toward library services and their branding. Hiring librarians with positive internal and external characteristics can have a positive image of libraries in the users' minds. Providing high-quality services required by users is essential in differentiating and branding libraries and building users' trust and loyalty. Providing virtual services in libraries is essential in promoting branding goals. A unique look at the libraries' architecture helps to create a positive image of libraries and information centers. Well-designing the interior and exterior of library facilities will create a positive mental image among users. Applying the technological equipment alongside the expert staff creates a brand and raises the users' awareness, trust, and loyalty. Empowering librarians in using emerging technologies is an obligation in this era. IMLICs have branding capabilities in the four main components of the library regarding librarians, services, building and equipment, and technology. Development of human resources, services, building and equipment, and technology should be planned so that its output is users' awareness about the library brand and the creation of a positive mental image towards the library function. It keeps the users' trust and loyalty towards the library and finally makes users the ambassadors and missionaries to promote the library via word-of-mouth marketing following their satisfaction.

The present study was conducted to draw the co-authorship network of hot papers of science citation index in the Web of Science (WOS) database from 2020 to 2021. This investigation is a descriptive study using a scientometrics approach. This research was conducted using social network analysis indices to visualize the co-authorship networks of hot papers in the science citation index. The structure of the co-authorship network of researchers of hot papers in the field of science consists of 47,045 authors who have contributed to the publication of 3475 hot papers from 2020 to 2021, which indicates the high co-authorship of these authors. Moreover, it was found that among the co-authorship patterns of these researchers, the most significant number of articles during the studied years was related to the five-author collaborations. Moreover, the average Collaboration Coefficient (CC) of the authors of hot papers was higher than 0.80, indicating the authors' strong tendency to produce joint articles. The high collaboration of the authors of hot papers in the science citation index can be one of the reasons for increasing the level of visibility and the potential for using them.

Measuring the maturity of KM allows the organization to know how to manage its knowledge and provides an infrastructure on which the organization's KM roadmap is created. With libraries and information centers with educational and research environments, the Iran Public Libraries Foundation is one of the most susceptible organizations to establish KM. Requires measuring the maturity of KM to provide necessary grounds for reaching a higher level of maturity in knowledge management development. This study aimed to measure the maturity of KM in the Iran Public Libraries Foundation based on the Asian Productivity Organization framework. The study is an applied survey research. The data was collected using the Asian Productivity Organization (APO) standard questionnaire. The reliability of the questionnaire was 0.9, according to Cronbach's alpha coefficient. The research population consisted of 115 people who were selected by cluster sampling. Excel and SPSS were used to analyze the data. Pearson correlation test, One-sample T-test, and Kolmogorov–Smirnov test were used to measure the mean of the seven knowledge management (KM) maturity criteria, and the Friedman nonparametric test was used to rank the criteria groups. The maturity level of KM in Iran, Public Libraries Foundation, was seven groups below the KM Framework of APO. The readiness of the library for KM was determined the initial stage. The results of ranking the seven groups of KM maturity criteria showed that information technology and leadership stood in the highest and the lowest ranks, respectively. Topdown ranking of other criteria was as follows: knowledge processes, process, learning and innovation, KM results, and staff. Finally, the research proposals were presented based on the results of the studied organization's current situation.

Communicating science to the public is one of the important issues in societies. Given the importance of news websites in communicating science, this article aimed to examine different aspects of science-related news stories like subjects, internationality, formats, and readers’ comments rate, published on the Iranian national news websites. Contents of 1711 science-related news of the top three ranked influential Iranian news websites, including ISNA, Mehr News, and Fars News, in one month in 2019, using the Dewey decimal classification (DDC) schema and inductive coding system, were analyzed. The results revealed that science and technology-related news stories published in the sample news websites have a bias toward international technology as the main subject class, and astronomy and medicine subclasses in the textual format. Like other developing countries, science reporting in Iran needs to be more professional, and there is a need for professional training programs for science journalists for better coverage of science-related news stories.

The present study sought to identify the supportive roles of social media in healthcare knowledge management processes, including decision-making, popularizing health knowledge, and empowerment of healthcare processes based on physicians' perspectives and experiences. In a present qualitative study, a semi-structured interview was administered to 28 physicians using purposive snowball sampling. The data analysis was done using the thematic analysis method by MAXQDA 10. The analysis of interviews resulted in the extraction of three themes and eight sub-themes. Firstly, social media supports physicians' decision-making by facilitating peer-to-peer assistance, increasing benchmarking, and virtualizing the community of practices. Secondly, physician activities in social media can popularize health knowledge by developing public health education and disclosing knowledge claims. Third, social media empower healthcare processes by improving post-treatment follow-up, supporting health counseling presentations, and promoting health awareness. Physicians’ experiences and perspectives showed that social media can support healthcare knowledge management implementation.

This descriptive survey research design aimed to explore gender differences in the impact of social media distractions during reading in the library among undergraduate students. The study included a total of 373 participants who were regular library users and had access to social media platforms. A structured questionnaire was used to collect data, and the findings indicated that social media, particularly messaging on WhatsApp, was the most distracting activity for students in the library. Males reported more distraction than females for platforms such as Facebook, Twitter, Instagram, YouTube, and Telegram. Reading and responding to social media messages was the most common social media activity among students in the library. The majority of participants perceived social media to harm their reading habits, with a higher number of females perceiving social media as harming their reading habits compared to males. The study recommends that libraries and educational institutions develop clear policies and guidelines on the use of social media in libraries, provide resources aimed at helping students manage social media distraction and improve their reading habits, and offer training to staff members on how to identify and address social media distractions among students.

The online public access catalog (OPAC) is a digital portal to the library's collection that allows users to search, locate, and access a wide range of academic resources. One of its key functions is to make books and other library materials easily accessible and retrievable. The main purpose of this study was to assess students’ awareness and use of the OPAC in the Central Luzon State University Library. The data were gathered using a survey questionnaire. The frequency, percentage, and weighted mean were analyzed, and the data was interpreted. The findings show that students widely use OPAC, though not all of them are aware of all of the functions that OPAC provides. Findings also indicate that a lack of proper orientation and a lack of OPAC terminals are the main reasons for not using the OPAC. The vast majority of students were satisfied with the OPAC. However, a small percentage of students remain dissatisfied with it. This insight is essential for libraries to better alter and tailor their systems, services, and instructional programs to suit their student population's evolving needs and technological expectations.

Besides scientific impact, papers can also achieve a technological impact that remains less known in the scientific community. Cited papers in the patents are considered as the index to measure the technological impact. This study aimed to analyze the technological impact of Iranian publications using co-authorship and co-word map, their evolution, the journals, and the subject areas of these publications. This applied research focuses on the quantitative study and visualization with a scientometric approach. The research population was all studies (4554 records) that were published during 2011-2020 in one of the Iranian institutions and had been cited by one of the international patents. The data collection tool was the SciVal database. CiteSpace and Excel spreadsheets were used to analyze the data. Of the 4,554 papers cited by the scholarly outputs that have been cited in patents e patents, most of them were published in collaboration with the USA (9%). Islamic Azad University and Tehran University of Medical Sciences (13% each) were the most active Iranian universities. The number of Iranian papers cited in patents had a downward trend from 686 in 2011 to 57 in 2020. RSC Advances journal was the first top journal to publish these papers. Of 27 subject areas, engineering (24.1%) was the first popular subject that patents cite in their publications. The cluster analysis of keywords identified 8 clusters, including “x-ray diffraction,” “animal,” “adult,” “escherichia coli,” “tissue engineering,” “coronavirus infection,” “neural network,” and “methane.” The technological impact of Iranian research has declined in recent years. It is suggested that research policymakers should consider scholarly outputs that have been cited in patents, which, in a way, shows the flow of knowledge to the industry and encourages researchers to produce such papers.

In this research, all the scientific publications of the Iran University of Medical Sciences (IUMS) from 1980 to 2020 are studied using bibliometric analysis and scientific network visualization. This research applied quantitative research using bibliometrics and visualization of scientific publications. The research population included all the scientific publications of IUSM on the Web of Science Core Collection (WOSCC) from 1980 to 2020. Data from the WOSCC were extracted via the advanced search by searching the Iran University of Medical Sciences in the affiliation field. Microsoft Excel and VOSviewer were used for data analysis. First, the frequency distribution of the scientific publications was identified. Then, the level of international collaborations was analyzed. Finally, the citation clusters of researchers' scientific publications and keyword co-occurrence were examined. IUMS had 9950 documents indexed in the WOSCC. Malekzadeh jointly ranked first as the most prolific author. The Iranian Red Crescent Medical Journal, with 207 articles, has the highest number of articles. All highly-cited papers were published in high-level Q1 journals. The highest collaboration rate at a national level was with the Tehran University of Medical Sciences. Internationally, IUMS's researchers had the highest collaboration with authors from the United States, the United Kingdom, Canada, and Australia, respectively. Term clustering demonstrated five main clusters: pharmacological studies, epidemiological studies, general & and internal medicine, meta-analysis and systematic review, and Immunological studies. The methods and techniques of bibliometrics and visualization are optimal for depicting and analyzing the scientific status of researchers, publications, journals, universities, countries, and even the world. The current study can be a model for analyzing bibliometric indices of other universities and research institutes in Iran and elsewhere.

Cloud computing is one of the most important topics in knowledge-based companies. Small and medium-sized enterprises with a low budget and few human resources are one of the major groups tending to use cloud computing to benefit from this technology. Several components affect the adoption of cloud in these companies, which should be evaluated before making the decision. This study aimed to identify these components and determine how much each component impacts the adoption of cloud in small and medium-sized companies. Accordingly, based on the diffusion of innovation theory and technology-organization-environment (TOE) framework as well as the previous studies, a conceptual model with twelve components was presented. Data were collected via a questionnaire using the descriptive survey method from 59 knowledge-based companies of Kerman Science and Technology Park. In this study, the “need” factor was selected as the desired state and “use” as the current state; then, the mean of the other components was compared with the mean of these two factors. The results of this study showed that based on the gap between the desired state and the current state, the employees’ knowledge of cloud computing, compatibility, complexity, and security and privacy require more attention. Innovation factors, decision makers’ knowledge of cloud computing, benefits, and costs have a better position than other components. Finally, factors effective in the compliance of knowledge-based companies of Kerman Science and Technology Park with cloud computing were ranked using the Vikor method. The need factor (information need), decision makers’ innovation, and benefits were ranked first to third, respectively, and the complexity factor was ranked last among the indicators. Therefore, identifying the current state (not using cloud computing based on the needs or not matching with cloud) and the desired state (using cloud computing based on the needs or matching with the cloud) in knowledge-based companies, based on the criteria or factors whose usefulness was investigated in this study, can be an important step in joining these companies into the cloud, and thus bringing the benefits of this new technology to knowledge-based companies.

This research has been conducted to identify and rank factors affecting customer loyalty in public libraries in Iran. This research is applied in terms of purpose and mixed (qualitative-quantitative) for the data type. In the first step, 45 articles on library customers’ loyalty were selected and analyzed purposefully using the meta-synthesis method. Then, based on the experts’ opinions and the analysis of the research findings, two factors, ten concepts, and 50 codes were identified, and their validity was confirmed using the Kappa-Kaufman test. In the second step, the weight and the ranking of the identified factors were determined by presenting a questionnaire to the experts and using Shannon’s entropy method. The statistical population of the research in the quantitative part consisted of 52 specialists in the field of public libraries, who were selected by the purposeful sampling method. Intra-library factors (human resources, service quality, physical space and environment, complaint handling, technical resources and facilities, electronic access, and communication) and external factors (mental image or impression, perceived usefulness, and satisfaction) were identified as factors affecting the loyalty of public library customers. In addition, the results obtained through Shannon’s entropy show that human resources, with a weight of 0.13, and mental impression, with a weight of 0.11, are ranked first and second. Moreover, perceived usefulness, technical resources and facilities, physical environment, and satisfaction were ranked third to sixth with a slight difference, with an approximate weight of 0.10. Electronic access, with a weight of 0.9, service quality, with a weight of 0.9. Complaint handling, with a weight of 0.7, and communication, with a weight of 0.6, were ranked seventh to tenth, respectively. The cultivation of customer loyalty in public libraries needs to improve the parameters and factors affecting it, and by prioritizing the most influential factors, customer loyalty will be promoted. The main goal of customer loyalty at public libraries can be achieved by recognizing and reinforcing factors that are essential in the enhancement of customer loyalty, such as growing the specialized, technical, and personal skills of the library staff, improving the social image of the library, providing valuable services for customers, presenting diverse and up-to-date information resources for all groups of society, observing standards in the library design and architecture, providing different electronic resources and types of information, having access to authentic scientific databases, and resolving customer complaints.

This study aimed to identify indicators and factors affecting the evolution of services at the service desks of the National Library of Iran (NLI). The method of this research is the mixed method. The survey method, brainstorming, and group decision-making were used to collect data. The statistical population of this study was 21 librarians working in the service desks of the NLI and 28 members of the NLI. MAXQDA software was used for data analysis. Qualitative analysis of the data led to the extraction of 964 primary codes that reported service factors from the perspective of two groups of librarians and users. Multiple revisions and code integration based on similarity; several categories were obtained. Guba and Lincoln criteria (credibility, dependability, confirmability, and transferability) were used for data robustness and accuracy. Service desk design indicators were identified by reviewing the literature and primary sources of reference and information services and extracted (9 indicators). Factors affecting the information service of the NLI from the perspective of librarians and users fall into four themes: information librarian, user, service, and service desk. The results of this study showed the appropriate correspondence between the service desks of the NLI and the extracted indicators. Influential information service factors from the perspective of librarians and users were also discovered in this study from the words of users and librarians themselves. Within the theme of information librarian, three sub-themes of information literacy, connecting with the user, and professional ethics; In the user theme, the three themes of user training, independence, and membership; In the theme of service desks, five sub-themes of accessibility, desk location, desk physics, name of service desk and security; And in the theme of services, three sub-themes of marketing, tasks priority and professional view of departments and services are among the factors affecting information service.