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Analysis of Collaboration Evolution in AHP Research: 1982–2018

Author

Listed:
  • Dejian Yu

    (Business School, Nanjing Audit University, Nanjing 211815, P. R. China)

  • Gang Kou

    (#x2020;School of Business Administration, Southwest University of Finance and Economics of China, Chengdu 610074, P. R. China)

  • Zeshui Xu

    (#x2021;Business School, Sichuan University, Chengdu 610064, P. R. China)

  • Shunshun Shi

    (#xA7;Information School, Zhejiang University of Finance and Economics, Hangzhou 315100, P. R. China)

Abstract

Bibliometric analysis is effective for evaluating the merits of a given discipline. This study provides an analysis of collaboration evolution in analytic hierarchy process (AHP) research from 1982 to 2018. As an important developed approach of AHP, analytic network process (ANP) is also considered in this review. 9859 publications are harvested from Web of Science to conduct this bibliometric analysis. Country and institution are the two primary objectives to investigate the collaboration pattern of the 9859 publications. The most prolific countries and institutions are identified based on bibliometric indicators, and the collaboration relationships between connected countries or institutions are explored based on science mapping techniques. Further, a dynamic analysis is provided to investigate the collaboration evolution of AHP publications at the levels of country and institution. This study offers a new topic on the overview research of AHP publications, and could help in developing the collaboration evolution analysis in the AHP field.

Suggested Citation

  • Dejian Yu & Gang Kou & Zeshui Xu & Shunshun Shi, 2021. "Analysis of Collaboration Evolution in AHP Research: 1982–2018," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 20(01), pages 7-36, January.
    • Handle: RePEc:wsi:ijitdm:v:20:y:2021:i:01:n:s0219622020500406
    DOI: 10.1142/S0219622020500406
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    Cited by:

    1. Liu, Junwan & Guo, Xiaofei & Xu, Shuo & Song, Yinglu & Ding, Kaiyue, 2023. "A new interpretation of scientific collaboration patterns from the perspective of symbiosis: An investigation for long-term collaboration in publications," Journal of Informetrics, Elsevier, vol. 17(1).
    2. Faramondi, Luca & Oliva, Gabriele & Setola, Roberto & Bozóki, Sándor, 2023. "Robustness to rank reversal in pairwise comparison matrices based on uncertainty bounds," European Journal of Operational Research, Elsevier, vol. 304(2), pages 676-688.
    3. Vasile Iosifescu & Marian Drăgoi, 2023. "Triggers and Halts of Professional Mobility in Public Companies: A Case Study of the Romanian Forest Administration," Social Sciences, MDPI, vol. 12(9), pages 1-14, August.

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