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Performance measurement for accountability in corporate governance: A data envelopment analysis approach
Ehsan H. Feroz, Sanjay Goel, Raymond L. Raab
Review of Accounting and Finance
2008
121 - 130
1475-7702
10.1108/14757700810874100
Emerald Group Publishing Limited
An earlier version of the paper benefited from the comments of the conference participants of INFORMS and Global Conference on Business and Economics at Harvard University; the research assistance of John Hall and Dei Limanow; and editorial assistance of Jean Jacobson. Sanjay Goel thanks Blekinge Institute of Technology, Ronneby, Sweden, for hosting him in Summer 2006 when a part of this paper was revised.
Purpose – The purpose of this paper is to show the applicability of data envelopment analysis (DEA) in arriving at an unbiased account of relative performance in a set of companies, using the pharmaceutical industry as an example.
Design/methodology/approach – A DEA-based income efficiency measure of business performance for the pharmaceutical industry is computed. The pharmaceutical industry, which includes many multinational corporations with complex governance problems, and the strategies that allowed firm efficiency rankings to change over time, over ten recent years, are analyzed.
Findings – The analyses indicate that the inclines and declines in DEA efficiency rankings are related to the strategic choices made by the upper management.
Research limitations/implications – The paper attempted to trace firm behavior
Practical implications – The approach may be ideal to evaluate strategic managers (CEOs, general managers, and presidents) by board of directors, since it relates multiple performance indices to a meta-measure of performance. Another group of beneficiaries include sector financial analysts. The approach adds a new dimension to sector analysis, to compare specific industries and identify the relative rankings of firms on multiple performance indices.
Originality/value – The paper demonstrates the usefulness of DEA in performance governance measurement by applying it to the pharmaceuticals industry.
Corporate governance, Data analysis, Manangement accountability, Performance measures, Pharmaceuticals industry
Research paper