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The evolution of Omega-The International Journal of Management Science over the past 40 years: A bibliometric overview

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  • Wang, Chao
  • Lim, Ming K
  • Zhao, Longfeng
  • Tseng, Ming-Lang
  • Chien, Chen-Fu
  • Lev, Benjamin

Abstract

The aim of this study is to reflect on where Omega-The International Journal of Management Science (Omega) comes from and evaluate where Omega currently is in a field that arguably paves the way for the challenging task of identifying future directions and trends. To achieve this goal, this study presents a bibliometric overview of Omega over the past 40 years, from 1979 to 2018. First, this study outlines the basic bibliometric profile of Omega. Second, VOSviewer is employed to visualize the collaborative relationships that Omega has with other journals to show how Omega has linked to them over the past 40 years. Finally, co-occurrences of keywords are analysed and strategic diagrams are built to reveal the thematic trends in Omega. The results show that Omega has substantial influences in the field of operational research and management science (OR&MS), with contributors from all over the world. Omega has strong connections with other leading journals in the fields of OR&MS and engineering. The mainstream research of Omega mainly focuses on production and manufacturing management, mathematical modelling for optimization problems, supply chain management, data envelopment analysis, multicriteria and decision making. Moreover, motor themes, highly developed-and-isolated themes, emerging-or-declining themes, and basic-and-transversal themes are identified. The study provides strong evidence that Omega has been a story of success, and the findings of this study will support decision making for the Omega-related scientific community.

Suggested Citation

  • Wang, Chao & Lim, Ming K & Zhao, Longfeng & Tseng, Ming-Lang & Chien, Chen-Fu & Lev, Benjamin, 2020. "The evolution of Omega-The International Journal of Management Science over the past 40 years: A bibliometric overview," Omega, Elsevier, vol. 93(C).
    • Handle: RePEc:eee:jomega:v:93:y:2020:i:c:s0305048319306516
    DOI: 10.1016/j.omega.2019.08.005
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    References listed on IDEAS

    as
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    51. Cook, Wade D. & Liang, Liang & Zhu, Joe, 2010. "Measuring performance of two-stage network structures by DEA: A review and future perspective," Omega, Elsevier, vol. 38(6), pages 423-430, December.
    52. Karimi, B. & Fatemi Ghomi, S. M. T. & Wilson, J. M., 2003. "The capacitated lot sizing problem: a review of models and algorithms," Omega, Elsevier, vol. 31(5), pages 365-378, October.
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    54. Wu, Jie & Liang, Liang & Chen, Yao, 2009. "DEA game cross-efficiency approach to Olympic rankings," Omega, Elsevier, vol. 37(4), pages 909-918, August.
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    5. Aleksander Aristovnik & Dejan Ravšelj & Lan Umek, 2020. "A Bibliometric Analysis of COVID-19 across Science and Social Science Research Landscape," Sustainability, MDPI, vol. 12(21), pages 1-30, November.
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