International Journal of Information Science and Management (IJISM)
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A Systematic Review of Scientific Collaboration Studies by Iranian Authors
Full text linkScientific 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.https://dorl.net/dor/20.1001.1.20088302.2022.20.2.13.
Misinfodemic and cyberchondria experiences among Indians during COVID-19 pandemic
Full text linkThe outbreak of the COVID-19 pandemic has fuelled the surge of various kinds of misinformation, hoax, conspiracy theories and rumours which have challenged the health systems all over the globe. The present study explored how Indians responded to the Misinfodemic, as a notice as well as an information sharer during the deadly pandemic. The study also elucidated the cyberchondria experiences among the Indians due to the misinfodemic. An online survey questionnaire was used to identify the respondents and to collect the needed data for the study (N=266). The result showed that the majority of the participants noticed misinformation regarding the outbreak on various internet platforms predominantly social media. The misinformation led the participants to a spectrum of mental health issues like stress, anxiety, anger, insomnia and depression. 9.80% of participants admitted themselves sharing misinformation regarding the outbreak and men did more compared to females (16.9% to 9.2%) (t143.006 = 1.572, p =.001). The misinfodemic resulted in increasing the health anxiety of the participants and there was no significant difference among the gender in experiencing health anxiety. The findings of the study provide functional insights for advancing communication research through misinformation correction and misperception management during these kinds of unknown (medicine and treatment) pandemic situations.https://dorl.net/dor/20.1001.1.20088302.2022.20.3.15.2
A Study of Relationship between Library Anxiety and Emotional Intelligence among Students of University of Tabriz and Azarbaijan Shahid Madani University
Full text linkThe 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 above-average, 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. https://dorl.net/dor/20.1001.1.20088302.2022.20.1.1.
Technology Startups and University-Based Entrepreneurial Ecosystems in the Universities of Golestan Province
Full text linkUniversity startup accelerator programs have exponentially increased over the past decade; however, their role in the university entrepreneurial ecosystem is ambiguous. This research aims to 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 of the validity, measurement, and outcomes of such startup enablers. 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 requirements of Rough Theory, the population size 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 sustainable development.https://dorl.net/dor/20.1001.1.20088302.2022.20.2.9.
Forecasting the Subject Trend of International Library and Information Science Research by 2030 Using the Deep Learning Approach
Full text linkThis 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 pre-processing 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.https://dorl.net/dor/ 20.1001.1.20088302.2022.20.1.26.
Application of Bradford’s Law of Scattering to the Economics Literature During 2011-2020
Full text linkThe 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.https://dorl.net/dor/ 20.1001.1.20088302.2022.20.1.27.
The Impact of the Activity of Industrial Engineering Researchers in Various Scientific-Citation Networks on Improving their Scientific Authority Status
Full text linkThis 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 co-authorship 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.https://dorl.net/dor/ 20.1001.1.20088302.2022.20.1.14.
Scientific Outputs and Co-authorship Patterns in the Fields of Electronic, Civil and Mechanical Engineering of Azarbaijan Shahid Madani University (2000-2019): A Scientometric Analysis
Full text linkThe 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 co-authorship 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.https://dorl.net/dor/20.1001.1.20088302.2022.20.2.11.6
The Moderating Effect of Transformational Leadership on Relationship between Organizational Silence and Knowledge Transfer among Librarians in Federal Universities in Southern Nigeria
Full text linkThis study was designed to investigate the mediating effect of transformational leadership on the relationship between organizational silence and knowledge transfer among librarians in federal universities in southern Nigeria. The questionnaire was used to collect data from a population of 250 librarians, out of which 240 responded, yielding a response rate of 96 percent. The study found a significant positive correlation between transformational leadership and knowledge transfer of the respondents. Organizational silence has a significant negative correlation with the respondents, and organizational silence has a significant negative correlation with transformational leadership. Nevertheless, the study revealed that transformational leadership has a significant positive effect on knowledge transfer. Also, organizational silence has a significant negative effect on the knowledge transfer of the respondents. More importantly, transformational leadership has a significant moderating effect on the relationship between the respondents' organizational silence and knowledge transfer. It was recommended that the university librarians should adopt a transformational leadership style to facilitate knowledge transfer. The administrators and library managers in the federal university in southern Nigeria should reduce or eliminate organizational silence to promote knowledge transfer among the respondents.https://dorl.net/dor/20.1001.1.20088302.2021.19.2.6.
Knowledge Transfer and Academic Writing: English Writing Errors in Medical Writing of Iranian Authors
Full text linkA lower frequency of writing errors facilitates the process of knowledge transfer. In this study, we scrutinized the medical journals highlighting the most frequent and critical writing errors in published medical papers of Iranian English journals. As a sample, 25 published articles were randomly selected from recent issues of five Iranian medical English ISI journals (2019). The frequency of discourse, lexical, grammatical, and mechanical errors was identified. In all five journals, more than 50% of errors are related to grammatical errors. The highest frequency of grammatical errors was in articles (79%), and the singular/plural errors had the lowest frequency in this category. Of Mechanical errors, the highest and the lowest errors were assigned to comma usage (25%) and spacing (5%), respectively. The discourse errors had the third position of error frequency among the journals (7.8%). Also, the lexical portion was without error in these journals. Moreover, there is a statistically significant relationship between the impact factors of journals and Grammatical errors (P<0.001). Statistically, no significant relationship was observed between Mechanical errors and the impact factors of journals (P= 0.57). The highest error frequency among the main sections of articles (introduction, method, result, discussion) was in the discussion section (42.6%), and the lowest error frequency was in the result section (15%). These shortages arose from the difference between the grammars of two languages (native and target language) and the unfamiliarity of academic authors from these linguistic points. Adequate language proficiency and proper use of grammar could help the authors to transfer their knowledge efficiently. The findings of this study can help minimize some language-related difficulties in writing scientific papers in all fields of study. https://dorl.net/dor/20.1001.1.20088302.2021.19.2.12.