0000000000138029

AUTHOR

Hervé Leleu

Performance measures for hierarchical organizations: Frontier analysis as a decision support tool

We extend the standard frontier efficiency models (data envelopment analysis [DEA] and stochastic frontier analysis [SFA]) by allowing the “decision making units” (DMUs) whose performances are assessed to consist of two different levels within hierarchical organizations. Generally, the lower level unit is responsible for “operations;” while higher level units are assumed to make “strategic” decisions. Our primary contribution in this paper is thus to extend the use of frontier efficiency models to assess each level performance with relevant technical and allocative inefficiency measures. We illustrate our approach using DEA applied to data from a sample of 1,585 branches of a major French b…

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Performance measures of retail banking networks: a decision support tool

In this paper, we apply a standard model of performance evaluation to the retail banking industry. In this framework, the global economic performance is broken down into technical efficiency related to the optimal use of resources and price efficiency related to the optimal choice of a product-mix. Our main contribution is twofold. First we adapt this traditional framework to the retail banking network by giving a relevant interpretation of the efficiency measures at the branch manager and at the regional top management levels. Second, we relate explicitly the product-mix efficiency to the market environment and to the size of branches. We postulate that branches in different environments c…

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Impact of Trade Area Environment on Bank’s Comparative Advantages

This paper analyzes the relationship between the comparative advantages of bank branches and the trade area environment. Bank branches are points of sale whose trade environment influences their activities and performance. Comparative advantages are defined, for each output mix, by the strict dominance of a production technology in a specific trade area over the production technologies of other environments. Using Shephard’s output distance functions on a sample of 728 bank branches, we compare the production technologies for different output mixes and different trade environments. We show that none of the production technologies strictly dominates the others and none of them is strictly do…

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