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Overcoming the limitations of efficiency modeling in the health care foodservice industry


  • A. Assaf
  • K.M. Matawie


Purpose - This paper aims to reflect on the sources of the technical inefficiency of health care foodservice operations, using a sample of Australian and American hospitals. Design/methodology/approach - The paper applies the stochastic frontier model to reflect on the technical inefficiency and its sources. The advantage of the model is that it allows the simultaneous parameters estimation of technical efficiency as well as the factors that explain variations in technical efficiency. A set of hypotheses are tested to ensure the applicability and suitability of the suggested model. Then the model parameters are estimated, discussed and checked against the theoretical requirements and the literature. Findings - Results show that all the variable coefficients are correctly signed and that the average technical efficiency is around 83 percent for Australia and 80 percent for the USA. Practical implications - The technical efficiency results, according to the introduced model, suggest that health care foodservice operations in both countries are not operating at a full efficient level. The results also reveal that factors such as manager's education, manager's experience, and size have a direct impact on reducing the level of technical inefficiency of these operations. Originality/value - This paper overcomes the limitations of the existing efficiency techniques in the area of health care foodservice and also provides policy implications by emphasizing on the sources of technical inefficiency of health care foodservice operations for Australia and USA.

Suggested Citation

  • A. Assaf & K.M. Matawie, 2009. "Overcoming the limitations of efficiency modeling in the health care foodservice industry," Journal of Economic Studies, Emerald Group Publishing, vol. 36(6), pages 571-582, October.
  • Handle: RePEc:eme:jespps:v:36:y:2009:i:6:p:571-582

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    References listed on IDEAS

    1. Engle, Robert F. & Patton, Andrew J., 2004. "Impacts of trades in an error-correction model of quote prices," Journal of Financial Markets, Elsevier, vol. 7(1), pages 1-25, January.
    2. Michael Aitken & Amaryllis Kua & Philip Brown & Terry Watter & H. Y. Izan, 1995. "An Intraday Analysis of the Probability of Trading on the ASX at the Asking Price," Australian Journal of Management, Australian School of Business, vol. 20(2), pages 115-154, December.
    3. Gemmill, Gordon, 1996. " Transparency and Liquidity: A Study of Block Trades on the London Stock Exchange under Different Publication Rules," Journal of Finance, American Finance Association, vol. 51(5), pages 1765-1790, December.
    4. Heflin, Frank & Shaw, Kenneth W., 2000. "Blockholder Ownership and Market Liquidity," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 35(04), pages 621-633, December.
    5. Keim, Donald B & Madhaven, Ananth, 1996. "The Upstairs Market for Large-Block Transactions: Analysis and Measurement of Price Effects," Review of Financial Studies, Society for Financial Studies, vol. 9(1), pages 1-36.
    6. Lease, Ronald C & Masulis, Ronald W & Page, John R, 1991. " An Investigation of Market Microstructure Impacts on Event Study Returns," Journal of Finance, American Finance Association, vol. 46(4), pages 1523-1536, September.
    7. Jennifer S. Conrad, 2001. "Institutional Trading and Soft Dollars," Journal of Finance, American Finance Association, vol. 56(1), pages 397-416, February.
    8. Ellis, Katrina & Michaely, Roni & O'Hara, Maureen, 2000. "The Accuracy of Trade Classification Rules: Evidence from Nasdaq," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 35(04), pages 529-551, December.
    9. Harris, Lawrence, 1989. "A Day-End Transaction Price Anomaly," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 24(01), pages 29-45, March.
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    Cited by:

    1. Ivanovic, Slobodan & Perman, Luka & Grlj, Ivana, 2015. "Impact Of Technological Development On Business Efficiency In The Food And Beverage Department," UTMS Journal of Economics, University of Tourism and Management, Skopje, Macedonia, vol. 6(2), pages 321-330.


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