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Modeling Operational Efficiency Using Data Envelopment Analysis: Evidence From Atlantic City Hotels

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  • Ya-Ling Huang
  • In-Fun Lee
  • Yen-Hsien Lee

Abstract

The casino entertainment industry is an intensely competitive environment with many operational risks, explaining why casino managers highly prioritize performance evaluation. This study develops a performance evaluation model based on data envelopment analysis (DEA) to determine casino managerial efficiency in 2007 and the change in efficiency for eleven casinos from 2003-2007 in Atlantic City. Analytical results suggest an apparently high technical efficiency and low scale efficiency, indicating that managerial inefficiency derives mainly from an inappropriate scale of business in the casino entertainment industry of Atlantic City. Moreover, weak industrial growth of casino entertainment implies that front runners should closely examine systematic problems in their management strategies.

Suggested Citation

  • Ya-Ling Huang & In-Fun Lee & Yen-Hsien Lee, 2012. "Modeling Operational Efficiency Using Data Envelopment Analysis: Evidence From Atlantic City Hotels," Global Journal of Business Research, The Institute for Business and Finance Research, vol. 6(3), pages 63-72.
  • Handle: RePEc:ibf:gjbres:v:6:y:2012:i:3:p:63-72
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    References listed on IDEAS

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    1. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    2. Garrett, Thomas A. & Nichols, Mark W., 2008. "Do casinos export bankruptcy?," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 37(4), pages 1481-1494, August.
    3. Cook, Wade D. & Seiford, Larry M., 2009. "Data envelopment analysis (DEA) - Thirty years on," European Journal of Operational Research, Elsevier, vol. 192(1), pages 1-17, January.
    4. Shinn Sun & Wen-Min Lu, 2005. "Evaluating The Performance Of The Taiwanese Hotel Industry Using A Weight Slacks-Based Measure," Asia-Pacific Journal of Operational Research (APJOR), World Scientific Publishing Co. Pte. Ltd., vol. 22(04), pages 487-512.
    5. R. D. Banker & A. Charnes & W. W. Cooper, 1984. "Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis," Management Science, INFORMS, vol. 30(9), pages 1078-1092, September.
    6. Tone, Kaoru, 2001. "A slacks-based measure of efficiency in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 130(3), pages 498-509, May.
    7. Botti, Laurent & Briec, Walter & Cliquet, Gérard, 2009. "Plural forms versus franchise and company-owned systems: A DEA approach of hotel chain performance," Omega, Elsevier, vol. 37(3), pages 566-578, June.
    8. Laurent Botti & Walter Briec & Gérard Cliquet, 2009. "Plural forms versus franchise and company-owned systems:ADEAapproach of hotel chain performance," Post-Print halshs-00348088, HAL.
    9. Maria Francesca Cracolici & Peter Nijkamp & Piet Rietveld, 2008. "Assessment of Tourism Competitiveness by Analysing Destination Efficiency," Tourism Economics, , vol. 14(2), pages 325-342, June.
    10. Fei-Ching Wang & Wei-Ting Hung & Jui-Kou Shang, 2006. "Measuring the Cost Efficiency of International Tourist Hotels in Taiwan," Tourism Economics, , vol. 12(1), pages 65-85, March.
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    Cited by:

    1. Chia-Chi Lee, 2014. "Performance evaluation of CPA firms in Taiwan from the perspective of industry-specific client groups," Service Business, Springer;Pan-Pacific Business Association, vol. 8(2), pages 267-293, June.

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    More about this item

    Keywords

    Data envelopment analysis (DEA); Performance evaluation; Casino management Slacks-based measure (SBM); Managerial efficiency;
    All these keywords.

    JEL classification:

    • C44 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Operations Research; Statistical Decision Theory
    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • G00 - Financial Economics - - General - - - General

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