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Evaluating Two-Stage Network Structures: Bargaining Game Approach

In: Data Envelopment Analysis

Author

Listed:
  • Juan Du

    (Tongji University)

  • Yao Chen

    (University of Massachusetts at Lowell)

  • Wade D. Cook

    (York University)

  • Liang Liang

    (University of Science and Technology of China)

  • Joe Zhu

    (Worcester Polytechnic Institute)

Abstract

This chapter presents a Nash bargaining game model to measure the performance of two-stage decision making units (DMUs) in data envelopment analysis (DEA). The two stages are viewed as players to bargain for a better payoff, which is represented by DEA ratio efficiency score. The efficiency model is developed as a cooperative game model. It is shown that when only one intermediate measure exists between the two stages, the newly-developed bargaining approach yields the same results as applying the standard DEA approach to each stage separately.

Suggested Citation

  • Juan Du & Yao Chen & Wade D. Cook & Liang Liang & Joe Zhu, 2014. "Evaluating Two-Stage Network Structures: Bargaining Game Approach," International Series in Operations Research & Management Science, in: Wade D. Cook & Joe Zhu (ed.), Data Envelopment Analysis, edition 127, chapter 0, pages 165-187, Springer.
    • Handle: RePEc:spr:isochp:978-1-4899-8068-7_8
    DOI: 10.1007/978-1-4899-8068-7_8
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    Cited by:

    1. Chang, Tsung-Sheng & Lin, Ji-Gang & Ouenniche, Jamal, 2023. "DEA-based Nash bargaining approach to merger target selection," European Journal of Operational Research, Elsevier, vol. 305(2), pages 930-945.
    2. Lozano, S. & Hinojosa, M.A. & Mármol, A.M., 2019. "Extending the bargaining approach to DEA target setting," Omega, Elsevier, vol. 85(C), pages 94-102.

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