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Bank Branch Productivity Applications: Focused Applications to Improve Performance

In: Data Envelopment Analysis in the Financial Services Industry

Author

Listed:
  • Joseph C. Paradi

    (University of Toronto)

  • H. David Sherman

    (Northeastern University)

  • Fai Keung Tam

    (University of Toronto)

Abstract

There is a saying that what you cannot measure, you cannot manage well. Senior management struggles to find fair and equitable measurements of performance in terms of productivity, efficiency and effectiveness. But there is often a “push back” from those being measured – a process nobody likes. The reader will discover in the following cases how effectively DEA can be used, and that its recommendations are harder to argue against than some other types of measurements where fairness is harder to prove.

Suggested Citation

  • Joseph C. Paradi & H. David Sherman & Fai Keung Tam, 2018. "Bank Branch Productivity Applications: Focused Applications to Improve Performance," International Series in Operations Research & Management Science, in: Data Envelopment Analysis in the Financial Services Industry, chapter 0, pages 113-127, Springer.
    • Handle: RePEc:spr:isochp:978-3-319-69725-3_8
    DOI: 10.1007/978-3-319-69725-3_8
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    Cited by:

    1. Zhao, Linlin & Zhu, Qingyuan & Zhang, Lin, 2021. "Regulation adaptive strategy and bank efficiency: A network slacks-based measure with shared resources," European Journal of Operational Research, Elsevier, vol. 295(1), pages 348-362.

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