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A Bibliometric Study Of Supply Chain Management

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  • Anil KUMAR

    (Faculty of Management, VNS Institute of Management Bhopal MP- India)

Abstract

Supply chain management (SCM) has developed more than three decades. However, very fewer studies explore knowledge dimension of SCM. The purpose of this study is to examine the knowledge dimension of SCM through Bibliometric method. Data was collected from J-Gate online database. In this context, this article aims to review scientific literature related to the supply chain management, published in the J-gate database. Using the term supply chain management and organisational performance, 69 articles were found since 2010-2014, but only 59 articles fulfil the selection criteria, being included in the analysis. The items investigated, by year of publication, were: study type, methodology, type of supply chain investigated, authorship pattern, country-wise distribution of articles. As the survey results, the year 2013 had the highest number of publications, 42% in total; the research method most often used was others while literature review was consider as the second most preferred method for the study. The contribution of this study is to provide core knowledge for both researchers and practitioners to understand the aspects of SCM.

Suggested Citation

  • Anil KUMAR, 2016. "A Bibliometric Study Of Supply Chain Management," Management Research and Practice, Research Centre in Public Administration and Public Services, Bucharest, Romania, vol. 8(1), pages 25-38, March.
  • Handle: RePEc:rom:mrpase:v:8:y:2016:i:1:p:25-38
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    References listed on IDEAS

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    2. Eom, Sean B, 1998. "The Intellectual Development and Structure of Decision Support Systems (1991-1995)," Omega, Elsevier, vol. 26(5), pages 639-657, October.
    3. Ageron, Blandine & Gunasekaran, Angappa & Spalanzani, Alain, 2012. "Sustainable supply management: An empirical study," International Journal of Production Economics, Elsevier, vol. 140(1), pages 168-182.
    4. Editors, 2014. "International Journal of Systems Science," International Journal of Systems Science, Taylor & Francis Journals, vol. 45(12), pages 1-1, December.
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    6. Wen-Lung Shiau & Yogesh K. Dwivedi, 2013. "Citation and co-citation analysis to identify core and emerging knowledge in electronic commerce research," Scientometrics, Springer;Akadémiai Kiadó, vol. 94(3), pages 1317-1337, March.
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