Results and Validation of DEA Application to Corporate Social Responsibility

  • Alex Manzoni
  • Sardar M.N. Islam
Part of the Contributions to Management Science book series (MANAGEMENT SC.)


This chapter analyses the results of an application of DEA to CSR as conducted in Chap. 5. It is structured so that the evidence obtained from the computations of the empirical data of a successful Australian bank, recognized for its leadership in CG, is used to assess the efficacy of an operations research technique. Through the application of the DEA variant of traditional linear programming, as a legitimate steppingstone for the study of organizational performance viewed as the optimal ratio of output to input relationships across the supply chain in which the bank operates, the objective is to identify which Decision Making Units are efficient and which are not. The analysis of results from using existing data in three separate trials should provide this categorization. Non-efficiency rated DMUs and those disputably efficient must also be analysed and possibly explained. This analysis will take the form:
  • Assessing the application of DEA to CSR

  • Applying heuristics to the DEA results

  • Evaluating the suitability of the DEA model employed and others available

  • Commenting on idiosyncratic features of DEA and

  • Evaluating the correlations of the input–output factors as computed by the DEA algorithm


Input Factor Business Unit Production Frontier Output Factor Technical Inefficiency 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Copyright information

© Physica-Verlag Heidelberg 2009

Authors and Affiliations

  1. 1.City Flinders Campus Level 13CSES Victoria UniversityMelbourneAustralia

Personalised recommendations