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Measuring e‐commerce efficiency: a data envelopment analysis (DEA) approach

H. Joseph Wen (Department of Applied Computer Science, College of Applied Science and Technology, Illinois State University, Normal, Illinois, USA)
Billy Lim (Department of Applied Computer Science, College of Applied Science and Technology, Illinois State University, Normal, Illinois, USA)
H. Lisa Huang (School of Management, New Jersey Institute of Technology, Newark, New Jersey, USA)

Industrial Management & Data Systems

ISSN: 0263-5577

Article publication date: 1 December 2003

5005

Abstract

As a result of the dot‐com collapse and the slowdown in the economy, the flood of venture capital dollars for e‐commerce has evaporated. E‐commerce companies have been enforced to review their business performance. E‐commerce efficiency has been touted to be a critical component that can assist a company in its strategies to become successful. This study proposes a model for evaluating e‐commerce efficiency using data envelopment analysis (DEA) approach. The model includes not only financial and operational measures, but also e‐commerce specific measures. An illustrative example demonstrates that the DEA model can not only effectively reflect the relative efficiency of e‐commerce firms but also identify their potential efficiency problems. Management can, therefore, take the right remedial actions.

Keywords

Citation

Wen, H.J., Lim, B. and Lisa Huang, H. (2003), "Measuring e‐commerce efficiency: a data envelopment analysis (DEA) approach", Industrial Management & Data Systems, Vol. 103 No. 9, pp. 703-710. https://doi.org/10.1108/02635570310506124

Publisher

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MCB UP Ltd

Copyright © 2003, MCB UP Limited

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