International Journal of Information Science and Management
Volume:20 Issue: 2, Spring 2022

The spread of COVID-19 has recently become a public concern. There are many public emotions regarding implementing the Large-Scale Social Restrictions (PSBB), which was especially implemented in Jakarta, first implemented in Indonesia. People have various emotions mirroring their tweets in making statements on social media, especially Twitter. Emotional expressions can be joy, sadness, anger, and fear. This study aims to determine the impact of the implementation of PSBB in reducing the spread of COVID-19 on people's emotional factors on Twitter. The method used in this research is the SentiStrength method and Support Vector Machine. Furthermore, the comparison between the two methods is completed to determine which one is better. The tweet data used were 12,735 lines from 10 April 2020 to 21 August 2020. The highest accuracy achieved of SentiStrength and SVM is 88.33% and 73.33%, respectively. Similarly, f-measure of SentiStrength (88.14%) outperforms SVM (75%). This research shows that the implementation of PSBB on public emotional factors on Twitter is that happy emotions with the highest sentiment are positive sentiments, reaching 5246 sentiments.

Education is the key to success in the existing world. Providing necessary information to students at the right stage of education that determines their future is useful to students, simplifies work, and reduces responsibilities for educators. Unfortunately, the existing ways of providing information to A'Level students in Uganda are unmodernized, and thus, important information is inadequately accessible to the students. Because of this, most students make uninformed decisions and study without focus. A prototype mobile application was designed to enable A'Level students to access necessary information about qualifications requirements, study materials, subjects, schools, etc. A rule-based method was also used to help students choose subjects that match their desired career options. The user interface design process followed a User-Centered Design approach to meet the students' requirements. SPSS software was used for analyzing the data, and results were obtained. The evaluation of the design showed that 95.76% of Advanced Level students who were participants agreed with the designed application prototype. This result indicated that A'Level students are interested in using mobile application technology to access information. This prototype design will ease students' getting information and ease educators' work, thereby saving the time wasted in attending to students physically to deliver all the necessary information

The present study measures the research productivity of library and Information science departments in the Middle East. Data were collected from 16 countries whose LIS departments had at least one article indexed in Clarivate Analytics Web of Science between 2014 and 2018. Journals’ Citation Report was also used to collect further data. In measuring research productivity, the number of departments’ articles indexed in the Web of Science database and the size of each department (number of faculties) is considered as output and input, respectively. Findings indicated that Bar Ilan University had the highest research productivity (3.7), followed by Shiraz University (1.17) and Hacettepe University (1.04). Regarding LIS Department Research productivity, Israel, Turkey, Jordan, Kuwait, and Iran ranked first to fifth. The results of this research can contribute to identifying highly productive and influential departments and lay the groundwork for a well-oriented scientific policy and cooperation.

R&D is one of the key drivers of technological progress and contributes to increased productivity and profit growth. Indonesian percentage of Gross Domestic Expenditure on R & R&D (GERD) to GDP in 2018 is one of the Global Competitiveness Index indicators, only reaches 0.28% and is dominated by the government sector, while the industrial sector is only 7.34%. One of the reasons for this small value is that the data collection of R&D on the business sector in Indonesia has not been carried out optimally. A classification model is needed to determine the data collection target so that the results are more optimal. The main objective of this study is to classify R&D industries actors in Indonesia using XGBoost and then analyze the features for R&D industries actors using SHAP. XGBoost is one of the black-box models that is difficult to interpret, and SHAP is one of the interpretation methods. The classification results using XGBoost obtained the accuracy, AUC, and F1-Score values of 79.61%, 0.7646, and 84.44%, respectively. Based on the Shapley value of the SHAP method, it was found that the average growth in R&D expenditure had the highest contribution. The feature's contribution to the estimation will be even higher if the mean of R&D expenditure growth is higher (more than 0). The other one is the ratio of researchers to R&D human resources. If the ratio is more than 75%, it will negatively contribute. Finally, exports and State-Owned Enterprise (BUMN) feature with the smallest contribution.

Authors’ collaboration in producing scientific articles is a common relation between scientific people in which article production is easily shared between collaborators. This article determines the authors’ collaboration in The Journal of Advanced Periodontology & Implant Dentistry (JAPID) for 2009 to 2020. The Scientometric method was used in this research. The researchers from the journal website downloaded all published papers at JAPID from the first issue until 2020. The collected data were entered into an Excel software spreadsheet, and the author’s collaboration coefficient was computed. A total of 376 articles by 1076 people were published in JAPID until this research. The average number of authors per article was 2.9. According to affiliation, the first rank belongs to Iranian researchers by publishing 372 articles in JAPID, and India with 23 articles was on the second place in publishing articles in JAPID. Results also showed that only 103 articles had a single author, and 61 articles had 5 authors and more (from 376 articles). The average collaboration coefficient amongst authors of JAPID is 0.7, which is considered acceptable and relatively suitable.

A comparative study of the university systems of the countries of the Near East has been undertaken in this paper. It has been illustrated that the most competitive systems in terms of World University Rankings are the university systems of Iran, Israel, and Saudi Arabia. This conclusion, at a glance, was made based on the distribution of all the universities of 14 countries of the Near East by the ten World University Rankings. This conclusion was confirmed in a more detailed manner upon entering and calculating three integral indicators of country university competitiveness. They were expressed by multiplying and adding the number of the universities of the countries mentioned in the rankings mentioned above and the average values of the positioning of the universities in these systems. Together with the number of universities distributed among the countries, these three indicators correlated well with each other. The devised methodology of a quantitative assessment of country university competitiveness is proposed for a comparative study of this competitiveness in random groups of countries worldwide.

This paper analyzes and compares selected open access self-archiving policies of various repositories of elite organizations registered in OpenDOAR, ROAR, and ROARMAP databases to report a multi-faceted panoramic overview on open access archiving policy. This paper discusses three open-access policies, viz. archiving policies, version policies, and withdrawal policies against different parameters. These policies and related issues have been discussed based on existing scholarly literature and best practice guidelines available at the national and international levels. The purpose of this paper is to suggest best practice guidelines and to provide a roadmap for developing an institute-specific IDR (the institutional digital repository) in the line of global recommendations. A total of 161 repositories were selected after overlap checking and based on the selection parameters mentioned in the methodology section. All these policies mentioned above must be formulated properly as it is found that the majority of IDRs do not have such policy guidelines. Some of the key issues are not properly covered and missing in literature even within the policy. Finally, recommendations have been made against each policy to develop IDRs globally. The paper's outcomes will be useful to future researchers and policymakers who will set up IDRs or have already developed IDRs for their organization. The outputs/results of this study may be used as a guiding tool and helpful to the open-access advocates, including policymakers’ library professionals, in developing repository policy for their organization. The policy framework could also be adapted to any institution irrespective of size and geographic location.

The main aim of this study is to analyze and compare the scientific productivity of major countries. The related data are collected from Scopus through the open-access portal www.scimagojr.com. Data has been collected on the number of documents and their rank for the top countries. Bibliometric indicators such as Compound Annual Growth Rate (CAGR) and Activity Index (AI) have been used along with a simple percentage. Further, Pearson correlation has been used to compare the rankings. Twenty-four countries have at least 1% of global scientific output in 2018, and all these top countries also ranked in Nature Index 2019 except Indonesia and Malaysia. The top two countries, the United States and China, produced more than 600,000 documents in 2018, with others following distantly. The majority of the top countries are grouped under upper-middle and high income. Fifty percent of the top countries are from Europe. Tremendous improvement in terms of global rank from 1998 to 2018 has been observed for Iran, Indonesia, and Malaysia. All the top countries focus on different disciplines.

University startup accelerator programs have exponentially increased over the past decade; however, their role in the university entrepreneurial ecosystem is ambiguous. This research aims to determine the Effectiveness of Technological Startups on University Entrepreneurship Ecosystems by Rough Set Theory. This is particularly the case when entrepreneurship education (EE) integration is considered, raising questions about such startup enablers' validity, measurement, and outcomes. The target population in the qualitative section was similar research and academic experts at the entrepreneurial level. However, the target population in the qualitative section, 20 managers and deputies at various academic levels in Golestan province, were analyzed according to the requirement Rough theory; much of the population is acceptable. In this study, 9 research proposals for the development of technological startups and 5 components of the entrepreneurial ecosystem at the university level were determined by screening selected studies. Due to the confirmation of the theoretical adequacy limit based on Delphi analysis, they entered the analysis phase of Rough Theory. The results showed that the most effective role of the university as an entrepreneurial ecosystem is to strengthen the level of educational and research functions. If the educational and research functions in entrepreneurial ecosystems move towards technology, it can connect industry with the university and provide the basis for sustainable development.

By attention to the problems related to metrics such as H-index, impact factor, citations, and so on, a new concept called altmetrics was introduced. This index assesses the impact of an article in almost real-time using multiple markups and conversations and enables researchers to identify the impact of their work more quickly than traditional metrics. The purpose of this study was to determine and compare altmetrics indicators and citations of dental research articles of Tehran University of Medical Sciences (TUMS) and Shahid Beheshti University of Medical Sciences (SBMU) available at altmetrics.com and Scopus between 2014 and 2019. This is a practical comparative study that has been performed with the scientometrics method. The study population included 810 dentistry articles of TUMS and SBMU during 2014-2019 in the Scopus database. The altmetrics data of articles were collected using altmetrics.com bookmarklet. Data were analyzed using descriptive and analytical statistics in SPSS 21. 73.1% of articles in TUMS and 71.3% in SBMU were cited, which indicates TUMS had a slightly greater share. The articles of TUMS with 17.6% had higher altmetrics coverage than SBMU (14.8%). There was a significant positive correlation between Scopus citations and Dimensions citations (p<0.001, r=0.945) and Mendeley readers (p=0.000, r=0.660) and weak positive correlation between Scopus citations and altmetrics attention score (r=0.115, p= 0.000). There was a positive and moderate correlation between Mendeley readers with CiteScore (p=0.000, r=0.523), SJR (p=0.000, r=0.557) and SNIP (r=0.508, p= 0.000). Also, there was a positive and weak correlation between CiteScore with altmetrics attention score (r=0.135, p=0.000) and Twitter mentions (p=0.049, r=0.133), between SJR and altmetrics attention score (p=0.000, r=0.098) and mentions in Twitter (p=0.010, r=0.174) as well as SNIP with Twitter (p=0.043, r=0.136). The altmetrics indicators of dentistry articles in the selected medical universities were not favorable. It is necessary to provide the background to introduce these indicators to researchers and publishers.

The purpose of this study was to investigate the scientific outputs and co-authorship patterns of Azarbaijan Shahid Madani University in the fields of electrical, civil, and mechanical engineering, based on Web of Science (2000-2019). The paper relied on both quantitative and scientometric methods. 1870 and 291 records were retrieved respectively for "Azarbaijan Shahid Madani University" and "the fields of electrical, civil, and mechanical engineering". The questions and assumptions were answered through descriptive and inferential statistics. VOSviewer and SPSS were used respectively for mapping and testing assumptions. The findings showed that the total scientific outputs of electrical engineering in the world, indexed by the Web of Science (2000-2019) were 2,973,902, of which 44,768 records (1.6%) belonged to Iran (rank 16). During the same period, the total civil engineering records was 395,649, of which 11,876 records (3%) belong to Iran (rank 10). In addition, the total scientific outputs of mechanical engineering were 941,586, of which 25,263 records (2.7%) belonged to Iran (rank 12). The findings showed that in Iran Azarbaijan Shahid Madani University in electrical engineering is ranked 36th (2000-2019). The findings showed that Ajami with 43 (17%), Hoveidae with 5 (23%), Gharraei and Mohammadpourfard, each with 10 records (17%), were the top authors in the fields of electrical, civil, and mechanical engineering (2000-2019), respectively. Also, Ajami with 43 (1000 citations), Najafi with 42 (564 citations), Banaei with 41 records (473 citations), and Oskuee with 16 records (305 citations) have high coauthorship densities (37, 31, 22, and 29, respectively). Moreover, there was no meaningful difference between men and women in electrical, civil, and mechanical engineering in scientific outputs (Sig=0.0927). Furthermore, there was a significant difference in scientific outputs among electrical, civil, and mechanical engineering researchers in departments and university ranks

An increasing number of articles published in different scientific fields makes it necessary to analyze the topics of these articles in specialized journals. For this purpose, topics published in the studies on medical librarianship and information in specialized journals were identified and analyzed in the present research. In the present study, an exploratory and descriptive approach was used to analyze medical librarianship and information articles published in specialized journals of this field from 1964 to 2019 by employing text-mining techniques. A latent Dirichlet Allocation (LDA) topic modeling algorithm was used to identify the published topics. Python programming language was also used to run text-mining algorithms. The findings of text mining and topic modeling showed that the following topics were published in medical librarianship and information: Patients' use of information resources (34%), Medical Librarianship and Information Services (18%), Scientometrics and bibliometrics (16.32%), Web-based treatment (15.47%), Information literacy and information skills (13.9%), and Trend and tweet analysis (1.92%). The publishing trend of articles in the medical librarianship and information indicates a change in research in the field.

Scientific collaboration indicates active teamwork between researchers beyond the simple exchange of material or information. This study is a systematic review of the papers published by Iranian researchers, aiming to provide comprehensive indicators, methodologies, and software used for evaluating scientific collaboration. According to guidelines of the Cochrane Handbook, the national and international databases were used for searching by English and Persian keywords without any time limitations. The retrieved articles were managed using EndNote software. By applying the inclusion and exclusion criteria, 201 articles remained for this review. These articles were selected from 93 domestic and foreign journals between 2000 and 2019. The studies used 16 software to extract and analyze scientific collaboration indicators. Systematic review shows that bibliometric and network analysis methods were the main approaches used in scientific collaboration studies among papers published by Iranian researchers (93.5%). More than 25 indicators were extracted from these studies, and they were categorized into patterns of collaboration and co-authorship network analysis. Researchers have revealed an increasing interest in the factors affecting scientific collaboration in recent years. The present study provides comprehensive information on the articles published by Iranian researchers on scientific collaboration. The methodologies and software were identified that are most often used to evaluate scientific collaboration and adapted to direct future research. Still, a variety of indicators situates them in heterogeneous methods of research. This analytical perspective does not locate the evaluation of scientific collaboration at a single spot. Future scientific collaboration studies will continue to evolve to offer more powerful indicators for assessing the knowledge flow status quo.

Globalization, new media development, and chaotic job climate have transformed the nature of the workplace in the 21st century. Thus, understanding areas of concern and expanding collaborating networks are essential to progress scientific creation towards integrated efforts. This study aimed to map the global research trends in telecommuting publications, research areas, prolific sources, most cited documents, authors co-authorship, institutions co-authorship, countries co-authorship, and keywords co-occurrence. Using the Scopus database, a total of 1453 telecommuting publications were disseminated between 1964 and 2020. The findings revealed that the number of publications fluctuated with hike publications in 2020. It can be interpreted that telecommuting research is miscellaneous by evaluating research fields. About 44.80% of the overall worldwide publications have been contributed by scholars from the United States, leading 77 other countries. Also, among the most prolific sources, the Transportation Research Record was the topmost of the other 159 outlets. The undertaken bibliometric study offers a comprehensive and in-depth view of telecommuting research that may be useful to practitioners and researchers in advancing potential knowledge in this field.

The study aimed to provide a bibliographical analysis of the articles produced by various authors from the year 1965 to 2017. The study undertook a bibliometric approach to analyze data provided through standard statistical calculations. Only articles, books, and topics published from 1965 to 2017 in the Jordanian Journal of Library and Information were included in this study. The data was collected by preparing an index through web data collection. The research tool included the web database, where collected data were combined in a single cumulative index. Findings indicated that the highest research rate was produced during the 1980s, with an average publication of 28.6 articles each year. The findings further indicated that the ratio of the male population was high in producing articles, where most of them were based on single authorship. The analysis of the trend in terms of article type indicated researchers’ high-level interest in producing biographies during the 90s, which shifted to producing articles related to library management after 2000. Following the findings of this study, it is suggested to encourage researchers to explore diverse topics that lack the interest of different authors. This study concludes that the researchers are encouraged to produce more articles frequently by converting the libraries into electronic mediums and channels.

Medical academic libraries are required to exemplify and quantify the value of their services to their users and parent organizations. Using the Data Envelopment Approach (DEA) technique, this study reports and discusses the efficiency measurement of the 77 academic libraries in Type1 medical sciences universities in Iran. Eleven (11) inputs and outputs variables were selected to measure the efficiency and performance of the libraries. The selected variables were: Total volumes held, net volumes added during the research period, number of professional staff, number of supporting staff (service, security, etc.). The total number of full-time students’ enrollment, full-time instructional faculties, total personal expenditures (professional and supporting staff), area of the libraries, library spaces, computers, and seating capacities. As a representative, variables of the services that libraries provide to their users, we have selected as outputs, opening hours per week, number of registered readers/ members (students, faculty, etc.), circulation transactions, and number of reader visits or attendance. The input-oriented BCC model was used to analyze libraries' efficiency and benchmark each inefficient unit by determining and introducing similar efficient units in terms of services and multiple parameters. Out of the 77 libraries analyzed, 30 libraries were efficient, and 47 were ranked as inefficient. By addressing the performance details of each of the introduced units as a benchmark, the finding of this study can help the gatekeeper of these universities to plan and modify their library work plans to improve performance and achieve full efficiency.

This study aims to assess the published books in library and information science in Iran, with 583 books being evaluated using the bibliometric method. In order to review the books of information science and knowledge studies, bibliometrics method was used. The research population was the books published in the information science and knowledge studies during 2006-2016. The total number of books published during these years was 764 books and, for this research, the books that had been reprinted were removed and; finally, the total number of books was 583. The data collection tools were a researcher-made checklist that was approved by the members of the faculty of the information science and knowledge studies department. The findings showed that according to the review of the academic syllabi in 2010 and 2014, most works were published in 2011 and 2015. In addition, 78% of the works were compiled, and 24% were translated. About 55.7% of 476 authors were women, while 44.3% were men. With over ten works, Hamid Mohseni and Rahmatullah Fattahi were the most prolific writers in this field. Besides, 83% of the books had been published in Tehran, and the rest had been published in other cities. Ketabdar & Chapar publication, National Library and Archives of the Islamic Republic of Iran, The Center for Study and Compiling University Books in Humanities, and Payame Noor University were the top 5 publishers in this field. Price surveys showed that the price of the published books was on the rise, reaching the highest level in 2015 and 2016. The three topics of information organization, library and information science, and test books were the most widely published. On the other hand, less attention has been paid to scientometrics, bibliometrics, webometrics, information management, and social networks.

This research aims to examine the influence of social capital on the emotional-cognitive readiness of faculty members for scientific collaborations using Structural Equation Modeling, considering the importance of social capital and its dimensions in social interactions. This study is applied research that was conducted in a survey method. The statistical population includes all faculty members (709) of two universities of medical sciences in Iran: Hamadan and Kurdistan universities of medical sciences. The sample size of this study was 250 people who were selected using stratified random sampling. Data were collected using two standard questionnaires. Spearman correlation and Structural equation modeling (SEM) were used to test the research hypotheses using SPSS version 25 and PLS 3. The results showed a positive and significant relationship between the dimensions of psychological capital (self-efficacy, optimism, resilience, and hope) and cognitive-emotional readiness for scientific collaboration. Also, the results obtained from Structural Equation Modeling indicated the relative compatibility of the experimental model with the conceptual model of the research, which indicates the effect of psychological capital on cognitive-emotional readiness for scientific collaboration. This research can give university administrators insight into increasing scientific collaboration among faculty members. The factors affecting it should be identified and planned to strengthen them

Highly cited papers reflect the top 1% of field and publication year papers. Highly cited papers are important in terms of the number of citations they receive in their subject area and often attract the attention of most researchers in terms of their high quality. Therefore, this study aimed to analyze highly cited papers in the field of sport sciences from a bibliometric perspective and to identify subject areas that have the potential to be highly cited. This research analyzed highly cited papers in the field of sport sciences published during 2010-2020, indexed in the Web of Science of the Clarivate Analytics. The results show that most of the highly cited papers in sport sciences are in sport medicine and published by prominent and renowned researchers. Moreover, most of these papers were contributed by researchers from the European and American continents. The results also show that the United States of America (USA), McMaster University of Canada, and Professor Lars Engebretsen led in publishing highly cited papers in sport sciences. It can be concluded that five thematic clusters were formed by highly cited papers in sport sciences, most of which were in the subject area of sport injuries and exercise physiology. Only highly cited papers in the field of sport sciences were analyzed, and a thorough analysis of all papers in this field is needed for a definite conclusion. This study identifies that the subject area has a great impact on a paper to be highly cited, and only some subject areas in the discipline of Sport Sciences have the potential to be highly cited.

This study analyzed the research productivity of Alagappa University (AU), India, in terms of scientometric and social network analysis measures. The primary aim of this study is to construct two types of networks, co-authorship, and citation, with three levels of network measures to divulge the social and intellectual structure of AU and to identify their research hubs, social interactions, the knowledge diffusion pattern, which will help to strengthen their research areas, fund allocation and to formulate appropriate policy strategies. It revealed that AU produced 99.45 % of research articles in collaboration, particularly 88.41% of the articles were the outcome of international scientific collaboration, remaining 11.04% of them have collaborated domestically. It found that the main path of the most cited publications constituted the mainstream of development of the Department of Bio-Technology, AU

Physiotherapy is an interdisciplinary field. Accordingly, to grow and develop itself, in addition to intra-disciplinary relationships, it needs significant extra-disciplinary relationships. The present study investigates intra-disciplinary, and extra- disciplinary relationships in physiotherapy articles of Iran indexed in the Web of Science (WoS) from 2013 to 2017. In this study, to answer the research questions, the methods of content analysis, citation analysis, and scientometric approach were used. The statistical population included 210 articles on Iran in physiotherapy indexed on the WoS from 2013 to 2017. The trend of publishing 210 articles on Iran in physiotherapy has been growing from 2013 to 2017, with some neglect. Out of 7058 references in the 210 articles, the share of intra-disciplinary and extra- disciplinary references is 75% and 46%, respectively. The examined articles have been cited in 758 articles, of which 81.14% were extra-disciplinary citations, and 18.86% were intra-disciplinary citations. In the research period, physiotherapy articles of Iran in the research period have benefited from intra-disciplinary relationships more than extra-disciplinary ones. Relationships between articles citing the examined articles were more than other scientific fields and extra-disciplinary.