Knowledge Management
Ali Biranvand; Sareh Rahmaniyan; Alireza Mohammadi Nejad Ganji; Massoud Irvani
Abstract
Purpose. Identifying the model of factors affecting knowledge sharing in academic settings has always had a special importance and place among research in the field of knowledge management. The purpose of this study is to present a structural-interpretive model of factors affecting knowledge sharing ...
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Purpose. Identifying the model of factors affecting knowledge sharing in academic settings has always had a special importance and place among research in the field of knowledge management. The purpose of this study is to present a structural-interpretive model of factors affecting knowledge sharing in academic settings from the perspective of staff and faculty members of Payame Noor University.
Method. This research is a descriptive survey based on the applied purpose and in terms of the data collection method. The statistical population of the study includes the staff and faculty members of Payame Noor University. Using judgmental sampling, 19 experts in the field of knowledge management who had scientific, experimental, or research backgrounds were selected as members of the panel of experts. Data collection methods in this study are divided into two categories: library and field (questionnaire). In this research, the fuzzy Delphi technique has been used to screen the variables The structural-interpretive modeling technique has been used to identify and design the pattern of index relations.
Findings. Based on the results, the variables of self-efficacy, managerial support, reward system, university macro policies, software infrastructure, hardware infrastructure, personal interaction, trust, personal expectations, use of social media, knowledge sharing tendency, knowledge staff, and knowledge-based culture Introduced as effective factors on knowledge sharing in Payame Noor University. The results indicate that macro-university policies, managerial support, and knowledge-based culture are the most influential factors. Self-efficacy and knowledge staff variables are the most influential factors identified in this study.
Originality and value. So far, no similar research has examined the internal and external relations, determining the levels of influence and effectiveness of the effective factors in knowledge sharing in the university, and the present study is innovative in this regard.
Keywords: Knowledge management, Knowledge Sharing, Motivation to share knowledge, structural-interpretive modeling, Payame Noor University.
Scientometrics
Ali Biranvand; Mohammad Ebrahim Samie; Sareh Rahmaniyan; Mahsa Keshtkar
Abstract
Purpose: The significant influence of scientific and citation networks among scientific societies has caused that while identifying influential individuals and universities in each field, the issue of knowledge sharing is also highly considered. With this in mind, the present study investigates the relationship ...
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Purpose: The significant influence of scientific and citation networks among scientific societies has caused that while identifying influential individuals and universities in each field, the issue of knowledge sharing is also highly considered. With this in mind, the present study investigates the relationship between Mendeley academic social network Altmetrics indices and Scopus, Web of Science, and Google Scholar databases in the field of economy, management, and accounting.Methodology: The present study is applied research that has been done in a descriptive-survey method with the Altmetrics approach. The statistical population of the research includes Iranian Authors and researchers in the field of economy, management, and accounting who had indexed documents in the Scopus database in the period of 2000-2019. 160 of the most prolific authors have been introduced and reviewed by Scopus. In order to analyze the data, in addition to descriptive statistics, in the inferential statistics section using Excel and SPSS software, a simple and multiple correlation test between the studied indicators has been used.Results: The results show a significant and positive relationship between the indicators studied in Mendeley with the scientometric indicators of Scopus, Web of Science, and Google Scholar databases. This relationship is very high in cases such as reading frequency, a number of citations, and HTML index score, Mendeley with Scopus, Web of Science, and Google Scholar, and weak in cases such as Mendeley reader index with Scopus co-authorship index. The results show that the degree of correlation between the citations received in Mendeley and other databases is very high. Also, the relationship between the authors' index in Mendeley and other databases is positive and significant. This relationship is stronger between Scopus and Web of Science than the other databases.Conclusion: Due to the positive and significant relationship between Mendeley indicators and indicators of other databases, the use of this academic social network in publishing and sharing research results can attract more citations.
