International Journal of Information Science and Management
Volume:20 Issue: 1, Winter 2022

The main objective of the present research was the possibility of predicting library anxiety (LA) concerning students’ emotional intelligence (EI). This study's objective, practical research, data gathering, and research method are descriptive correlational studies. Graduate students of Azarbaijan Shahid Madani University and Tabriz University make up the statistical population of this research. Based on Morgan’s formulae for sample size determination, 298 and 350 students were selected as the study's sample size. Then, the random sampling method was used to prepare the questionnaires, which were distributed and collected. The required information in preparing the questionnaires was taken from Siberia Schering's Emotional Intelligence and the “library anxiety questionnaire.” For examining the research hypotheses, Pearson Correlation Test and stepwise regression were used. Based on the present study's findings, the average emotional intelligence scores of students of Azarbaijan Shahid Madani University and Tabriz University were aboveaverage, i.e. 3.003 and 3.169, respectively. The correlation of the coefficients of emotional intelligence and library anxiety turned out to be -0.38. Also, the multiple regression analysis results showed that 17% of the changes in library anxiety can be predicted or revealed based on students’ emotional intelligence, and that 83% percent of them depend on other reasons. The findings of this research can raise the awareness about the status of students’ emotional intelligence and library anxiety among officials of Azarbaijan Shahid Madani University and Tabriz University and help with future decision-making and planning.

This paper analyzes open access (OA) self-archiving policies of open access repositories of different organizations registered in OpenDOAR, ROAR, and ROARMAP databases. The policies relating to content policies, collection organization policies, metadata policies, submission policies, and multilingual policies, are required to be correctly formulated for the smooth functioning of any repository system on a global scale. The objective is to recommend institute-specific model policy with global recommendations and best practices. The methodology is twofold – first, to get an overview of policy issues as reflected in existing literature, and second, to analyze policy issues recorded in global registries and individual repositories. It was found that most of the organizations do not have a stated policy. Even within a specific policy, several key issues were missing. The outcomes of this research paper may help future researchers by providing a roadmap towards the successful policy implementation of open access repositories (OARs) in higher academic institutions. The paper may be helpful to the library professionals in devising institute-specific policy and may be a guiding tool to the policymakers.

The present study attempts to highlight the growth and development of institutional repositories in Africa. The institutional repositories developed by African countries were identified by selecting the database of OpenDOAR (Directory of Open Access Repositories). The retrieved data were thoroughly analyzed for the necessary information. The study found a total of 219 open access repositories In Africa, out of which 161(73.51%) are Institutional repositories that contained theses and dissertations as one content type. The process of inclusion of institutional repositories at OpenDOAR in Africa started in the year 2005, while the maximum growth of repositories has been recorded during the year 2013 (21; 13%), 2015 (29; 18%), and 2019(46; 28%) respectively. The study also signifies that Kenya is the front runner contributing the highest institutional repositories, followed by South Africa and Nigeria. In terms of sub-region categorization (Eastern Africa, southern Africa, Northern Africa, Western Africa, and central Africa), it is observed that eastern Africa is the leading region having a maximum number of repositories while central Africa is lagging which do not have even a single repository registered with OpenDOAR. DSpace is the most preferred software used by the institutional repositories. The interface language assessment shows that English, the international language, was the most commonly preferred interface language by African institutional repositories.

Risk management is a preventive activity that identifies project risks and technical and non-technical problems for key managers and stakeholders by identifying project risks. The introduction of new digital forms of information not only has created rich and extraordinary opportunities for libraries to expand community access to information and create a positive relationship between libraries and users but poses some degree of risk. The present study employs a qualitative research approach with The Fuzzy Delphi Method (FDM). For data collection, a researchermade questionnaire was used to identify the risks of content production in digital libraries. The FDM was employed for complete analysis using 20 IT experts on a 5-point Likert scale. The study identified 61 sub-components under nine main content production risk components: human, environmental, infrastructure, conservation and maintenance, technical, copyright, integration, evaluations of resource content, and information security risks. The present study addresses the content production risk components so that authorities can assist in planning and decision-making to prevent and resolve content production issues in digital libraries.

The generic Question Answering (QA) framework processes questions by querying a knowledge base and extracting answers from retrieved passages using various Natural Language Processing techniques. The problem is validating whether the retrieved passages from the passage retrieval module contain expected answers to asked questions. Besides, extraction based on lexical and syntactic similarities alone is not enough coverage for scoring the correct answers in a QA framework. Therefore, this work aims to infuse validation techniques into the QA framework. Four similarity scores (Word Form (WF), Word Order (WO), Distance (DIST), and Semantic Similarity (SemSim)) were implemented for Answer Extraction. Instant snippets returned by the Google search engine were used as a corpus to generate candidate answer sets. On a dataset of 1370 factoid questions, the proposed method achieved an accuracy of 77.71%, precision of 77.91%, recall of 91.37%, and F1- measure of 91.37%. The results show that the inclusion of the validation techniques helps reduce the time spent by the system in analyzing passages without possible answers. The proposed system could be adapted for automatic QA Systems and grading factoid computer-based tests.

This study aimed to design and validate an information quality assessment framework based on the systematic review of the literature. A meta-synthesis method was applied to identify features and dimensions for designing the framework for assessing the quality of Wikipedia. Following this, the validity of the obtained framework was evaluated by the Kappa Test of Agreement. The statistical population consists of all scientific documents related to the quality of information and a sample of 39 documents selected based on CASP. MAXQDA 11 was used to analyze data. Nine dimensions were identified and classified across 3 levels. The features and components necessary to evaluate each dimension were identified and explained. The strong level approved the framework of expert agreement (0.654). The proposed framework can be used to assess the Wikipedia quality independently of specialists, improve the quality of articles through identified effective features, and ultimately, build tools and practical guidelines to assess the quality of information.

The research is concerned with studying the audience's use of social media in obtaining health information and their satisfaction. It aims to determine the hours of public use of social media, know the level of information, and know the level of health knowledge of the audience from social media. An intended sample of (200) members of the University of Baghdad employees and professors who use social media were chosen. The search reached results, the most important is that the audience always uses social media. Social media for long hours, the results indicate that the use of social media is linked to the achievement of gratifications with a significant relationship, which indicates that social media sites achieve what users want from them.

The main purpose of this study is to analyze the strategic role of public libraries in Iran’s Geopolitics of Information. This is applied research adopting a mixed-method (qualitative-quantitative) approach. A semi-structured interview was used to collect qualitative information. In the quantitative part, a researcher-made questionnaire was designed based on the results of the qualitative part. The statistical population of the research in the qualitative section included 13 experts and university professors who were selected purposefully based on a set of criteria. The qualitative data were analyzed using the qualitative content analysis method. The findings of the quantitative part were analyzed using factor analysis. The population of the quantitative part included the general managers and deputies of the general administrations of Iran's public libraries (70 people) and the librarians of the provinces that had the central public libraries from five clusters of north, south, east, west, and center of Iran, including 10 provinces and 160 librarians. Some 201 completed questionnaires were received. The findings showed that libraries had an implicit role in strengthening cultural identity and increasing public awareness, especially in strengthening Iranian-Islamic identity, as one of the three main components of geopolitics. However, this role is neither deliberated for a specific mission nor clearly explained in the upstream documents. Moreover, based on the findings, the acquisition of the centralized resources by the Iran Public Libraries Foundation for all public libraries is managed in an integrated manner such that there is not any clear role of user needs in the selection process. This is inconsistent with the Free-Flow of Information approach. The findings also suggested that national policymakers should pay attention to the role of public libraries as a public discourse space in transmitting culture and information and a base for strengthening the power of soft defense, training and explaining the specific role for librarians, developing technological infrastructure of libraries, providing resources based on local needs and the audience needs, continuous and purposeful monitoring of activities, and increasing the number of service recipients from public libraries.

This study investigated the factors contributing to the attraction and development of public participation in public libraries from the donors' perspective in the library building. In terms of the research objectives, the present study is exploratory research that was carried out using a mixed research method, a combination of qualitative and quantitative methods. In the qualitative part of the research, 15 active donors were interviewed using the targeted and snowball sampling technique. The research population in the quantitative part consisted of active donors of public libraries in Iran, and a questionnaire was distributed and collected among 246 of them. Inferential tests, including the Kolmogorov-Smirnov test, exploratory factor analysis, and confirmatory factor analysis were used for data analysis. Besides, spss22 and pls3.8 software were run for data analysis. Given the research findings, cultural, economic, social, and structural factors were identified as effective in attracting public participation. The results obtained from the confirmatory factor analysis showed that among the factors affecting the attraction of public participation in public libraries from the donors’ point of view, cultural factors with an impact factor of 0.868 had the highest impact, followed by economic factors with an impact factor of 0.845, respectively. Furthermore, social factors with an impact factor of 0.824 and structural factors with an impact factor of 0.628 were in the third and fourth priorities, respectively. Given the severe challenges of the financial resources of Iran's public libraries, it is quintessential to identify ways to attract more public and donors’ participation, to provide opportunities for participation in public libraries, and to promote this idea among other people. Utilizing donors' experiences in identifying the factors contributing to the attraction of public participation in public libraries can provide a suitable planning environment for the development of public participation in public libraries.

The outbreak of COVID-19 spurs the need for information among the Nigerian populace, and people exhibit different information-seeking behavior. Understanding information needs and seeking behavior becomes expedient to ensure the adequate provision of information to Nigerians in real-time. Hence, this study examined the health information needed and seeking behavior of Nigerians about COVID-19. The authors adopted a descriptive survey method using a Web-based questionnaire to collect data from a sample of 321 people. The collected data were analyzed using descriptive statistics, and the hypothesis was tested using Pearson’s product-moment correlation. Results show that the Nigerian populace needs information on treatments/vaccines and preventive measures of the pandemic disease; it was revealed that the majority of Nigerians actively search for information about the disease; it was shown in the findings that social media is the most accessed information source; and findings revealed that environmental, demographic, interpersonal and financial factors affect information-seeking behavior. Findings show a statistically significant relationship between health information need and information-seeking behavior of Nigerians. The study concludes that most Nigerians health information needs center on treatment/vaccines of disease while most actively search for information on the disease.

This study accounts for the growth analysis of research output in the knowledge management (KM) domain in Africa, using the Web of Science database between 1974 and 2019. The implication that necessitates this study was the intertwined nature of the KM domain associated with other fields of study. The interpretive content/document analysis was used to extract publications using key terms of knowledge management from the Web of Science database within 45 years. The extract of the document analysis and the presentation of results took four weeks. The findings indicated that 2,564 publications such as articles, conference papers, reviews, and proceedings were the platforms used the most within the period. Management was at the top of the list of subject areas. A top journal that publishes KM papers is the South African Journal of Science. The most productive institutions by affiliation were the University of Cape Town and the University of Pretoria, and inter-continental collaboration in research in KM was affirmed with the United States of America (USA). The National Research Foundation of South Africa is among the top bodies that fund research in Africa. The growth analysis of publication output in KM in Africa indicates a slow productivity rate of 6.4 percent within the period covered. This paper demonstrates that the KM domain remains an evolving and interesting phenomenon, which requires integration in different organizations. Every actualization of work performance today by individuals depends on tacit and explicit knowledge application, which forms the spectrum of KM.

Knowledge audit can be considered the first step of knowledge management; thus, taking a process-oriented approach to knowledge audit in project-based organizations would help enrich the content related to the treasures of knowledge. In this research, the identification of components associated with knowledge audit and the design of the knowledge audit process in project-based organizations are performed based on the priorities and characteristics of such organizations. This study can be categorized as applied research. It has been carried out through a qualitative approach by employing documentary, exploratory, and thematic analysis techniques. The knowledge audit process is designed after the components of the knowledge audit have been identified. The semi-structured interview, a qualitative data collection strategy, was used throughout this research study. 13 experts involved with knowledge management in project-based organizations participated in the case study. Knowledge audit can be performed in 3 phases: the pre-audit phase, the audit phase; and, the post-audit phase. The pre-audit phase includes exploring organizational goals, vision, and mission, identifying the key processes and projects, organizing the knowledge audit team, developing the knowledge audit strategy, determining the assessment checklist and weighting the items, and designing the assessment system. In the audit phase, key projects are identified, and the assessment is carried out regarding the effective components of knowledge audit in projectbased organizations. The post-audit phase incorporates developing the knowledge audit strategy, re-auditing; and, performing constant revisions. All the models and methodologies that deal with knowledge audit consider first-level processes; thus, they are too general and cannot guide how to undertake knowledge audit activities in different types of organizations practically. The distinguishing aspect of this paper is its focus on the key projects carried out in project-based organizations and preparing the assessment checklist based on the weighted components of knowledge audit determined for the requirements and priorities of such organizations.

Harnessing big data in organizations today realizes benefits for competitive advantage. Generated profound insights are reflected in informed decision making, creating better business plans, and improved service delivery. Yet, organizations are still not recognizing how mature their big data management capabilities are. However, there is no structured approach to assess and build necessary capabilities for valuable big data utilizing, which draws a clear improvement pathway. Existing solutions lack a consistent perception of big data management capabilities, a reliable assessment, and a rigid improvement scheme. This paper contributes in building an analytical study on existing key works in assessing and building big data management capabilities. Drawing upon the results and gaps revealed from this analytical study, the main requirements for building a comprehensive big data management maturity framework are defined. This framework will enable organizations to assess and improve their current capabilities towards effective big data management.

This study analyzes the link between Mendeley indexes of scientific-citation networks and Scopus, taking into account the beneficial influence of researchers' actions in social networks on scientometric indices of works indexed in databases like Google scholar and WoS. In this basic/descriptive study, we use the Altmetrics approach to describe Iranian researchers’ activities in industrial engineering in scientific-citation networks. In this study, researchers whose activities are recorded with Iranian affiliation in scientific-citation networks have been briefly named Iranian researchers. The corpus of the study included the works of 160 Iranian researchers in the field of industrial engineering, indexed in the Scopus in the period 2000-2019. To test the likely correlation between the measures of social networks (SN) activities with scientometric ones, simple and multiple correlation tests were carried out by Excel and SPSS software .The correlation between the number of times a document was read, the number of citations, and the measures in the Mendeley, Scopus, We of Science (WoS), and Google Scholar (GS) was very high. However, the correlation between the number of readers in the Mendeley and coauthorship in Scopus was low. There was a strong correlation between the number of citations in Mendeley and that in other databases. The correlation between the authors' H-index in the Mendeley database and other databases is positive and significant, stronger in Scopus and WoS than Google Scholar. It was finally concluded that researchers’ activities in social networks attract more readers, increase the number of citations and thus increase the H-index score in databases. Therefore, they need to be more active in social networks to increase their H-index score and promote academic publications

Studying the social impact of scientific outputs on social media alongside their professional impact in the scientific database could lead the policymakers to outline the scientific roadmap. The current research aimed to investigate the relationship between altmetrics activity (social impact) and the quality of the maternity and midwifery journals (professional impact) indexed by Scopus in 2018. In this descriptive and relational research, altmetric and bibliometric indicators were utilized to study journal performance. The population included all maternity and midwifery journals in the Scopus (n=25). Altmetric Explorer, Scopus, Scimago Journal, Country Ranking (SJR), plus Journal Metrics were used for data gathering. Moreover, data analysis was conducted using descriptive and inferential tests in Microsoft Excel and SPSS. Of the 1944 papers with unique DOIs published in maternity and midwifery journals in 2018, 952 articles were mentioned at least one time on social media platforms (altmetrics coverage of 48.97%). The highest rank of the altmetrics coverage belonged to the Midwifery journal, The Journal of Perinatal and Neonatal Nursing, and Women and Birth, respectively. On the other side, the highest rank of the altmetrics attention belonged to Breastfeeding Medicine, The Journal of Perinatal and Neonatal Nursing, and Geburtshilfe und Frauenheilkunde, accordingly. There was a positive and statistically significant relationship between the altmetrics activity of journals and their qualitative metrics. The current research revealed that papers published in higher quality journals are more likely to be shared on social media platforms and get more altmetrics attention.

The present study examines the retracted articles from three OIC member countries (Iran, Turkey, and Egypt) in the Web of Science (WoS). All articles from Iran, Turkey, and Egypt, published in the journals indexed in the WoS and retracted due to scientific misconduct, consisted of the research population. This analytical survey examined the retracted articles regarding research areas, periods, cumulative citations, and names of collaborating authors and countries by country, discipline, and field via scientometrics. With 38%, Iran has the most retracted articles in various fields and scientific fields. Most of the retracted articles are related to basic sciences, medicine, and engineering, respectively. In the analysis of statistics, the publisher of retracted articles, in Iran, Turkey, and Egypt, we can name two countries, the United States and the United Kingdom, which are among the publishers with many publishing activities in all countries. Considering that the number of retracted articles globally has increased significantly, informing researchers and those involved in scientific journals and regular monitoring of citation performance of journals can prevent similar events in the future.

The present research attempts to identify the impact of retracted papers on previous or subsequent papers. We consider the 5693 retracted papers from 1975 to 2020 indexed in the Web of Science database based on bibliometric methods. We use HistCite, Excel, and SPSS software as technical means. The findings suggest a significant difference between the average number of retracted and unretracted papers when cited in retracted papers. Furthermore, there is a significant difference between the average number of unretracted and retracted papers citing retracted papers. The reasons for the retraction of an article may not be the previous retracted papers, yet unretracted papers may be retracted later because of referring to (many) retracted papers. It is deduced that proprietors of citation databases should carefully focus on these papers by checking references to each new paper citing previously retracted papers.

Every year, universities spend a large sum of money on databases and library sources to help with education and research. The main aim is to determine the sources of information utilized by the psychology students at Semnan University to address their information needs. This study is applied research and uses grounded theory to reveal the viewpoints of postgraduate psychology students at Semnan University. The statistical population comprised all postgraduate psychology students at the time of the study (2018-2019). Data collection and analysis were conducted until saturation point, and 50 in-depth interviews were carried out. Semi-structured interviews were conducted, and MaxQDA was used for data coding. Interviewing was stopped following 40 interviews due to data saturation, although 10 additional interviews were held with the students, which led to no new data. Based on the open coding, 95 codes were identified and extracted from the data, followed by 27 codes in axial coding. Finally, 10 codes were identified and extracted from the data through the selective coding process. The results showed that the sources of information for psychology students of Semnan University are their professors, databases, research questionnaire databases, resource ordering, accessible electronic sources, the Internet, audio-visional sources, library, search engines, and professional websites. Psychology students of Semnan University used formal/informal and digital/printed sources of information. These cover many types of information. They need more bibliographic instruction on making greater use of library services prepared for them.

As one of the main bibliometric concepts, co-authorship has been thoughtfully considered in recent years. Despite many bibliometric studies on the co-authorship in different scientific fields and worldwide countries/regions, Iranian researchers' collaboration in the management field has not been studied. This study aimed to investigate the co-authorship networks in the management papers contributed by Iranian researchers indexed in the Web of Science (WoS) during the recent halfcentury (years, 1969-2018). Bibliometric data on 5414 papers were extracted from WoS and analyzed in Excel, UCINET, and VOSviewer to measure bibliometric indicators, the map needed co-authorship networks, and depict time-based maps and keyword clustering. Findings showed that co-authored papers increased from two items in 1973 to 721 items in 2018. Expert Systems with Applications, African Journal of Business Management, and International Journal of Production Research were ranked first to third in co-authored papers. Top 20 authors published about 17% of papers (946). Islamic Azad University, University of Tehran, and the Amirkabir University of Technology ranked first to third. Most co-authorship frequencies were made from 2012 to 2014. The first to third ranks of collaborating countries were the USA, Canada, and England. Six main keyword clusters were formed, including main topics in the field. In conclusion, Iranian researchers increasingly co-authored in management, especially during the last decade, and published in various journals that some top ones are prestigious journals. However, some gaps need to be bridged by the low contribution of research institutes and universities countrywide and the limited number of authors with high productivity and low collaboration with neighbor countries and influential universities worldwide.

The current study aims to analyze the scholarly publications of researchers in marine pollution for 30 years (from 1989 to 2018). This study intends to identify the list of core journal publications, growth rate, the productivity of authors and institutions, proportion of Indian contribution, and various similar aspects at national and international levels in the field of marine pollution. The retrieved data were analyzed using the Microsoft-Excel package as per the objectives of the study, and the data has been presented as tables and graphs. The study was designed to assess and know the growth rate of the research literature output, author productivity, quantitative and qualitative indices, collaborative trends, citation patterns, key journal’s list, and geographical distribution of publications at national and international levels in Marine pollution. The study shows an inconsistency in the Annual Growth Rate (AGR) of Marine pollution publications ranging from -35.63 to 23.69 between 1989 and 2018. The study also shows that the maximum Degree of Collaboration (DC) was identified in the years 2014 and 2018 (0.94) and the minimum DC identified in the year 1992 (0.60). The average of DC arrived as C=0.85, i.e., 85% of collaborative authors contributed. Collaboration Index (CI) of Marine pollution literature for the study period made clear that the number of authors per publication had increased from 3.32 (1989) to 5.40 (2018). The study results indicate that the overall growth rate calculated by various scientometric methods in marine pollution has been significantly growing in recent years at the international level. On the other hand, the growth rate of Marine pollution is moderate in India.

The development of purposeful and principled programs meant to improve the scientific level of countries requires the assessment and measurement of research, and oil industry research is no exception. Therefore, examining the quantitative and qualitative growth trend of products in petroleum engineering can be a guideline for decision-makers and politicians to develop and advance this field. This research is a scientometric study conducted using the co-citation analysis technique. The statistical population of the present study includes all articles in the field of petroleum engineering indexed in the Web of Science database from January 1, 1985, to December 31, 2019. All full record and cited references with tagged format were marked as plain text files to performing analysis. Ravar PreMap, UCINET and NetDraw software were used to identify countries and researchers in question and do a co-citation study. The annual growth trend of articles in petroleum engineering has had an upward trend between 1985 and 2019. Finally, by examining the research in this area, it was found that based on centrality indices, "BAHADORI, ALIREZA" from New South Wales Oil and Gas Company of Australia and "MOHAMMADI, AMIR H." from the University of KwaZulu-Natal in South Africa have played a more important role in scientific production in the field of petroleum engineering according to rank and intermediate centrality indices. Co-citation analysis of articles can show the most important articles and their relationships. Such analyses can be useful for large-scale policymaking or identifying existing gaps and addressing them.

This study aimed to determine the level of commitment to research ethics regarding the accuracy and correctness of citations in the reference list of theses and dissertations at Ahvaz Jundishapur University of Medical Sciences. The study is comparative in method, and purpose-wise it is applied. The statistical sample comprised of 1012 theses and dissertations by Master, MD, and Ph.D. graduates during 2015-16. The sampling method was “random stratified” with a volume of 5%. Two researcher-made checklists were used to collect data, which were analyzed using descriptive and analytical statistics. Findings show an average of 66 citations in each thesis or dissertation. The minimum and the maximum number of citations in a thesis/dissertation were 11 and 183, respectively. Out of the total 3339 studied citations, 165 citations (4.9%) were not retrieved; 214 citations (6.4 %) were identified as duplicates; 1322 citations (39.59 %) had various errors, and no faults were identified with the other 1644 (49.05 %) citations. Findings indicate that the examined theses/dissertations were acceptable in terms of citation correctness during the studied period but had a less desirable status regarding citation accuracy.

Competency is the ability to perform a task efficiently and effectively. One of the necessary skills students need is writing, understanding, and formatting the references section of their work. However, knowledge of this competency is nonexistent or unknown in the field of Library and Information Science (LIS). Therefore, the purpose of this study is to investigate the relationship between referencing competencies and individual’s performance in the context of undergraduate students. A quantitative method was adopted; 292 respondents were involved, selected from undergraduate students at one of the Malaysian local universities. Descriptive analysis was performed using Statistical Package for Social Sciences (SPSS) version 26. On the other hand, inferential analysis was performed using Partial Least Square Structural Equation Modelling using SmartPLS version 3.2.8. Findings show that knowledge, skills, and ability positively and significantly affect individual performance.

The present study is carried out for analyzing the contents of national libraries’ websites in Asia. A checklist was designed, and library webpages were evaluated, such as the site description, TLDs, language used, design factor, statement of responsibility, general information, availability of aids and tools, authority details, currency, number of visitors, file format supported, use of web 2.0 tools, webpage size and download speed and ranking of Asian national library websites globally. It is observed that 39 national libraries have dedicated library websites. Further observed that all the national libraries have used graphics in their website, while few have used animations also. Most library websites have provided statements of responsibilities like postal address, email address, and phone numbers, and few have given fax numbers. Only a few have given the currency of their national library websites like date of update, which is an essential part of the website’s visibility. The National Library of Japan secured the top position based on global ranks with 8,662, Azerbaijan with 13,507 ranks, and Taiwan with 17,673 ranks.

One of the main strands in e-government research focuses on evaluating the government website. Previous studies have developed several models of government website evaluation. Unfortunately, that rich exploration of the government's website study seems to be ignored in the Indonesian e-government literature. Against that backdrop, this study formulated a synthetic model of government' website evaluation based on previous models developed by other scholars. It deployed them to assess ten local government websites (Municipality/Regency) in East Kalimantan. The model consists of two broad dimensions: technical and democratic deliberation. On the technical dimension, by using the SortSite 5.3.5. software, it is found that the local governments' website performs relatively low on accessibility and errors on four metrics evaluated by the software. On the other side, on the democratic deliberation dimension, local government websites in East Kalimantan have performed relatively well in fulfilling the minimum of the democratic principle. We call it minimum because the websites have provided the user with basic information and several channels to interact with the officials

This study seeks to forecast the subject trend of library and information science research until 2030 based on modeling previous research topics in this field, which has been done with a text mining and in-depth learning approach. After preprocessing and thematic classification of the studies, deep neural network algorithms were used to model previous studies and forecast future topics. The study population included 90,311 journal articles in library and information science publications indexed on the Web of Science website from 1945-2020. All research processes were implemented in the Python programming language. The findings showed that the largest number of studies in the future would be related to Internet and web studies, and the growth rate of these topics will be higher in the future. However, topics related to libraries and their work processes and other traditional disciplines such as theoretical foundations will have a lower growth rate in library and information science studies. As a result, knowledge of important future issues, while helping to plan for future research, can identify study gaps and investment opportunities in the R&D sector, thereby assisting researchers, universities, and relevant research institutes in selecting projects intelligently.

The study has been conducted 330 journal articles contributions with a total of 9527 citations contributed by 763 authors published in volume 78, no. 309 to volume 87, no. 348 of the source Journal, Economica between 2011 to 2020. An analysis of the different forms of literature, subject-wise distribution, ranking of top 24 cited journals, and the application of Bradford’s law in Economics literature has been made. Results indicate that major forms of literature are journal 6173 (64.795%), followed by Books 2097 (22.011%) and Working Papers 569 (5.972%). Economica has published an average of 33 articles per volume. The average number of citations appeared at 238.175 citations in each issue. ‘American Economic Review’, published from the USA, tops the list with a tally of 481 (7.792%) citations, ‘Journal of Political Economy’ with 399 (6.464%) citations, published from USA and followed by ‘Economic Journal’ with 335 (5.427%) citations from the UK as the third position. Economics literature is not fit well Bradford’s Law. Leimkuhler model is also applied to verify Bradford’s law of scattering in the field of Economics.

Knowledge commercialization is one of the requirements of success in the modern economy. Universities and, accordingly, their faculty members play a crucial role in knowledge production and commercialization. The main purpose of the current study is to identify and review the factors influencing knowledge commercialization in the Iran University of Medical Sciences from the viewpoints of the faculty members. A cross-sectional descriptive survey was conducted on 267 randomly selected faculty members of the Iran University of Medical Sciences in line with the purpose of the study. The face validity of the scale was evaluated by seeking the opinions of five Medical Library and Information Science faculty members. The reliability of the scale was also confirmed by achieving Cronbach’s alpha test coefficient equal to 0.86. The data analysis was done using the SPSS software, version 21, descriptive statistics, and the Friedman test. Managerial requirements (M=7.71, SD=±25.69) were revealed as the most influential factor in knowledge commercialization. The cultural requirements (M=6.56, SD=+-2.82) showed the least effect. Employing experienced professional staff, faculty members’ problemsolving skills and knowledge and their research morale, supporting and equipping the involved bodies, developing a purposive, precise, and professional system for project evaluations, public financial and intellectual support, the inclusion of knowledge commercialization in the state’s strategic planning, as well as the development of a research-centered and project-centered culture in the university, are among the most important components of knowledge commercialization. Furthermore, according to the Friedman test, the structural, managerial, legal, individual, cultural, and environmental factors seemingly significantly affect knowledge commercialization in the university. Paying attention to the requirements of knowledge management implementation, especially managerial requirements, is very important for successful knowledge commercialization in universities.