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Analysing the effect of environmental factors on service performance

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  • Ricardo Sellers
  • Juan Luis Nicolau

Abstract

The aim of this paper is to analyse the effect of some environmental variables when analysing efficiency in a service process. For the first time in the grocery retail industry, this paper considers two different approaches employed in the efficiency measurement literature to analyse the influence of environmental factors, and compares the results obtained with a model that does not include the environmental factors. The methodology is based on the estimation of a stochastic parametric function. The results obtained highlight the importance of considering environmental variables when evaluating efficiency in retailing. As a consequence, managers should be aware that differences in performance could be due to more or less favourable environmental conditions. It is important for service assessment programmes to provide precise enough measures for managers to draw the correct conclusion when evaluating their firms' performance.

Suggested Citation

  • Ricardo Sellers & Juan Luis Nicolau, 2009. "Analysing the effect of environmental factors on service performance," The Service Industries Journal, Taylor & Francis Journals, vol. 31(9), pages 1471-1488, December.
  • Handle: RePEc:taf:servic:v:31:y:2009:i:9:p:1471-1488
    DOI: 10.1080/02642060903580607
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    1. Gong, Byeong-Ho & Sickles, Robin C., 1992. "Finite sample evidence on the performance of stochastic frontiers and data envelopment analysis using panel data," Journal of Econometrics, Elsevier, vol. 51(1-2), pages 259-284.
    2. Gathon, H. -J. & Pestieau, P., 1995. "Decomposing efficiency into its managerial and its regulatory components: The case of European railways," European Journal of Operational Research, Elsevier, vol. 80(3), pages 500-507, February.
    3. Battese, George E. & Coelli, Tim J., 1988. "Prediction of firm-level technical efficiencies with a generalized frontier production function and panel data," Journal of Econometrics, Elsevier, vol. 38(3), pages 387-399, July.
    4. Dubelaar, Chris & Bhargava, Mukesh & Ferrarin, David, 2002. "Measuring retail productivity: what really matters?," Journal of Business Research, Elsevier, vol. 55(5), pages 417-426, May.
    5. Suresh Kotha & Anil Nair, 1995. "Strategy and environment as determinants of performance: Evidence from the Japanese machine tool industry," Strategic Management Journal, Wiley Blackwell, vol. 16(7), pages 497-518.
    6. Jeffrey G. Covin & Dennis P. Slevin, 1989. "Strategic management of small firms in hostile and benign environments," Strategic Management Journal, Wiley Blackwell, vol. 10(1), pages 75-87, January.
    7. Keh, Hean Tat & Chu, Singfat, 2003. "Retail productivity and scale economies at the firm level: a DEA approach," Omega, Elsevier, vol. 31(2), pages 75-82, April.
    8. Kenneth J Klassen & Randolph M Russell & James J Chrisman, 1998. "Efficiency and Productivity Measures for High Contact Services," The Service Industries Journal, Taylor & Francis Journals, vol. 18(4), pages 1-18, October.
    9. Battese, G E & Coelli, T J, 1995. "A Model for Technical Inefficiency Effects in a Stochastic Frontier Production Function for Panel Data," Empirical Economics, Springer, vol. 20(2), pages 325-332.
    10. Aigner, Dennis & Lovell, C. A. Knox & Schmidt, Peter, 1977. "Formulation and estimation of stochastic frontier production function models," Journal of Econometrics, Elsevier, vol. 6(1), pages 21-37, July.
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