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J. C. Paradi, S. Vela and Z. Yang, “Assessing Bank and Bank Branch Performance: Modeling Considerations and Approaches,” In: W. W. Cooper, L. M. Seiford and J. Zhu, Eds., Handbook on Data Envelopment Analysis, Kluwer Academic Publishers, Boston, 2004, pp. 349-400.

has been cited by the following article:

• TITLE: Bank Branch Grouping Strategy, an Unusual DEA Application

  AUTHORS: Barak Edelstein, Joseph C. Paradi, Adria Wu, Petty Yom

  KEYWORDS: Data Envelopment Analysis; DEA; Benchmarking; Grouping; Clustering; Data Sorting; Process Improvement; Productivity; Bank Branch

  JOURNAL NAME: Journal of Service Science and Management, Vol.5 No.4, December 27, 2012

  ABSTRACT: This study uses Data Envelopment Analysis (DEA) to develop a grouping strategy for the bank branches of a large Canadian Bank. In order to benchmark their branches’ performance, the Bank first clusters the branches based on community type and population size—a not fully satisfactory approach. Hence, DEA was used to develop a grouping approach using an input oriented BCC production model to capture and analyze the aggregated effects of many complex processes. The model examines the relationship between staff and transaction activities. The peer references produced by the DEA model illustrate that the Bank’s current clustering methodology fails to compare some branches that are similar from an operational perspective; a flaw in the Bank’s current grouping approach. The new grouping strategy offers a fair and equitable set of benchmarking peers for every inefficient branch.