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Analysis of co-authorship network and thematic pattern of the articles in the Journal of Public Management Researches
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Arman Bahari *    , Behnoosh Moody |
| Department of Industrial Engineering, Faculty of Industry and Mining, University of Sistan and Baluchestan, Zahedan, Iran , arman_bahari@eng.usb.ac.ir |
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Abstract: (5350 Views) |
Background and aim: In recent years, journals and quarterly journals have placed a great emphasis on increasing scientific collaboration in articles. Therefore, in this paper, the analysis of social networks was used to determine the co-authorship structure between researchers and drawing keyword co-occurrence network in the Journal of Public Management Research of Sistan and Baluchestan University.
Materials and methods: This applied study was done by using a scientometric method. The statistical population of the study was 310 articles indexed in the Journal of Public Management Research from 2015 to 2019, collected using Publish or perish software and RIS addressing. The VOSviewer was used to draw co-authorship patterns as well as Excel and SPSS were applied to answer the research hypotheses.
Findings: The analysis of the co-authorship pattern suggested that each article had 3.2 authors in this Journal. Moreover, the most prolific authors in this Journal according to the co-authorship network due to the number of articles and collaborations were: Adel Azar, Noor Mohammad Yaghoubi, Fariborz Rahimnia, and Abdolmajid Imani. An examination of the Keyword Co-Occurrence network showed that the issues such as knowledge management (15), entrepreneurship (10), organizational citizenship behavior (9) and organizational commitment (8) were the most important subjects. Besides, the evaluation of the difference between men and women showed that with a t-value of 7.379 (p = 0.000), there was a significant difference between women and men in writing articles.
Conclusion: The analysis of the co-occurrence density map indicated that the topics of the papers were aligned with the new topics of management. Furthermore, the results demonstrated the high level of group participation in this journal. |
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| Keywords: Scientific authorship, Co-Authorship, Keyword Co-Occurrence network, Publications, Journal of Public Management Researches |
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Full-Text [PDF 1208 kb]
(1970 Downloads)
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Type of Study: Orginal |
Subject:
Scientometrics
Received: 2020/04/14 | Revised: 2021/04/19 | Accepted: 2020/07/15 | ePublished: 2020/08/31
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