Benchmarking with data envelopment analysis: a return on asset perspective

Seong‐JongJoo1, DonNixon2, Philipp A.Stoeberl3
1Hasan School of Business, Colorado State University‐Pueblo, Pueblo, Colorado, USA
2College of Business, Central Washington University‐Des Moines, Des Moines, Washington, USA
3John Cook School of Business, Saint Louis University, St Louis, Missouri, USA

Tóm tắt

PurposeSelecting appropriate variables for analytical studies is critical for the validity of analysis. It is the same with data envelopment analysis (DEA) studies. In this study, for benchmarking using DEA, the paper seeks to suggest a novel framework based on return on assets (ROA), which is popular and user‐friendly to managers, and demonstrate it by use of an example.Design/methodology/approachThe paper demonstrates the selection of variables using the elements of ROA and applies DEA for measuring and benchmarking the comparative efficiency of companies in the same industry.FindingsIt is frequently impossible to obtain internal data for benchmarking from competitors in the same industry. In this case, annual reports may be the only source of data for publicly traded companies. The framework demonstrated with an example is a practical approach for benchmarking with limited data.Research limitations/implicationsThis study employs financial data and is subject to the limitations of accounting practices.Originality/valueThe approach is applicable to various studies for performance measurement and benchmarking with minor modifications. Contributions of the study are twofold: first, a framework for selecting variables for DEA studies is suggested; second, the applicability of the framework with a real‐world example is demonstrated.

Từ khóa


Tài liệu tham khảo

Banker, R.D., Charnes, A. and Cooper, W.W. (1984), “Some models for estimating technical and scale inefficiencies in data envelopment analysis”, Management Science, Vol. 30 No. 9, pp. 1078‐92.

Casu, B., Shaw, D. and Thanassoulis, E. (2005), “Using a group support system to aid input‐output identification in DEA”, Journal of the Operational Research Society, Vol. 56 No. 12, pp. 1363‐72.

Charnes, A., Cooper, W.W. and Rhodes, E. (1978), “Measuring the efficiency of decision making units”, European Journal of Operation Research, Vol. 2 No. 6, pp. 429‐44.

Chau, V.S. (2009), “Benchmarking service quality in UK electricity distribution networks”, Benchmarking: An International Journal, Vol. 16 No. 1, pp. 47‐69.

Elmuti, D. and Kathawala, Y. (1997), “An overview of benchmarking process: a tool for continuous improvement and competitive advantage”, Benchmarking: An International Journal, Vol. 4 No. 4, pp. 229‐43.

Fanchon, P. (2003), “Variable selection for dynamic measures of efficiency in the computer industry”, International Advances in Economic Research, Vol. 9 No. 3, pp. 175‐86.

Farrell, M.J. (1957), “The measurement of productive efficiency”, Journal of the Royal Statistical Society, pp. 253‐90 (series A, part III).

Feroz, E., Kim, S. and Raab, R. (2003), “Financial statement analysis: a data envelopment analysis approach”, Journal of the Operational Research Society, Vol. 54 No. 1, pp. 48‐58.

Furey, T.R. (1987), “Benchmarking: the key to developing competitive advantage in mature markets”, Planning Review, Vol. 15 No. 1, pp. 30‐2.

Hinton, M., Francis, G. and Holloway, J. (2000), “Best practice benchmarking in the UK”, Benchmarking: An International Journal, Vol. 7 No. 1, pp. 52‐61.

Horvath, P. and Herter, N.R. (1992), “Benchmarking: comparison with the best of the best”, Controlling, Vol. 4 No. 1, pp. 4‐11.

Jackson, N. (2001), “Benchmarking in UK HE: an overview”, Quality Assurance in Education, Vol. 94, pp. 218‐35.

Joo, S., Stoeberl, P.A. and Fitzer, K. (2009), “Measuring and benchmarking the performance of coffee stores for retail operations”, Benchmarking: An International Journal, Vol. 16 No. 6, pp. 741‐53.

Kwon, H., Stoeberl, P.A. and Joo, S. (2008), “Measuring comparative efficiencies of wireless communication companies”, Benchmarking: An International Journal, Vol. 15 No. 3, pp. 212‐24.

Lambert, T.L., Min, H. and Srinivasan, A.K. (2009), “Benchmarking and measuring the comparative efficiency of emergency medical services in major US cities”, Benchmarking: An International Journal, Vol. 16 No. 4, pp. 543‐61.

López, F. and DuIá, J. (2008), “Adding and removing an attribute in a DEA model: theory and processing”, Journal of the Operational Research Society, Vol. 59 No. 12, pp. 1674‐84.

Min, H. and Galle, W.P. (1996), “Competitive benchmarking of fast food restaurants using the analytic hierarchy process and competitive gap analysis”, Operations Management Review, Vol. 11 Nos 2/3, pp. 57‐72.

Min, H. and Joo, S. (2009), “Benchmarking third‐party logistics providers using data envelopment analysis: an update”, Benchmarking: An International Journal, Vol. 16 No. 5, pp. 572‐87.

Nunes, B. and Bennett, D. (2010), “Green operations initiatives in the automotive industry: an environmental reports analysis and benchmarking study”, Benchmarking: An International Journal, Vol. 17 No. 3, pp. 396‐420.

Schneider, J.L., Wilson, A. and Rosenbeck, J.M. (2010), “Pharmaceutical companies and sustainability: an analysis of corporate reporting”, Benchmarking: An International Journal, Vol. 17 No. 3, pp. 421‐34.

Sherman, H. and Ladino, G. (1995), “Managing bank productivity using data envelopment analysis”, Interfaces, Vol. 25 No. 2, pp. 60‐73.

Wagner, J. and Shimshak, D. (2007), “Stepwise selection of variables in data envelopment analysis: procedures and managerial perspectives”, European Journal of Operational Research, Vol. 180 No. 1, pp. 57‐67.