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Strategic performance measurement in a healthcare organisation: A multiple criteria approach based on balanced scorecard

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  • Grigoroudis, E.
  • Orfanoudaki, E.
  • Zopounidis, C.

Abstract

The Balanced Scorecard (BSC) methodology focuses on major critical issues of modern business organisations: the effective measurement of corporate performance and the evaluation of the successful implementation of corporate strategy. Despite the increased adoption of the BSC methodology by numerous business organisations during the last decade, limited case studies concern non-profit organisations (e.g. public sector, educational institutions, healthcare organisations, etc.). The main aim of this study is to present the development of a performance measurement system for public health care organisations, in the context of BSC methodology. The proposed approach considers the distinguished characteristics of the aforementioned sector (e.g. lack of competition, social character of organisations, etc.). The proposed measurement system contains the most important financial performance indicators, as well as non-financial performance indicators that are able to examine the quality of the provided services, the satisfaction of internal and external customers, the self-improvement system of the organisation and the ability of the organisation to adapt and change. These indicators play the role of Key Performance Indicators (KPIs), in the context of BSC methodology. The presented analysis is based on a MCDA approach, where the UTASTAR method is used in order to aggregate the marginal performance of KPIs. This approach is able to take into account the preferences of the management of the organisation regarding the achievement of the defined strategic objectives. The main results of the proposed approach refer to the evaluation of the overall scores for each one of the main dimensions of the BSC methodology (i.e. financial, customer, internal business process, and innovation-learning). These results are able to help the organisation to evaluate and revise its strategy, and generally to adopt modern management approaches in every day practise.

Suggested Citation

  • Grigoroudis, E. & Orfanoudaki, E. & Zopounidis, C., 2012. "Strategic performance measurement in a healthcare organisation: A multiple criteria approach based on balanced scorecard," Omega, Elsevier, vol. 40(1), pages 104-119, January.
    • Handle: RePEc:eee:jomega:v:40:y:2012:i:1:p:104-119
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    1. Jacquet-Lagreze, E. & Siskos, J., 1982. "Assessing a set of additive utility functions for multicriteria decision-making, the UTA method," European Journal of Operational Research, Elsevier, vol. 10(2), pages 151-164, June.
    2. Oral, Muhittin & Kettani, Ossama & Cosset, Jean-Claude & Daouas, Mohamed, 1992. "An estimation model for country risk rating," International Journal of Forecasting, Elsevier, vol. 8(4), pages 583-593, December.
    3. Marcela González-Araya & Luís Rangel & Marcos Lins & Luiz Gomes, 2002. "Building the Additive Utility Functions for CAD-UFRJ Evaluation Staff Criteria," Annals of Operations Research, Springer, vol. 116(1), pages 271-288, October.
    4. Beuthe, Michel & Scannella, Giuseppe, 2001. "Comparative analysis of UTA multicriteria methods," European Journal of Operational Research, Elsevier, vol. 130(2), pages 246-262, April.
    5. Bruce Gurd & Tian Gao, 2008. "Lives in the balance: an analysis of the balanced scorecard (BSC) in healthcare organizations," International Journal of Productivity and Performance Management, Emerald Group Publishing Limited, vol. 57(1), pages 6-21, January.
    6. Siskos, J. & Zopounidis, C., 1987. "The evaluation criteria of the venture capital investment activity: An interactive assessment," European Journal of Operational Research, Elsevier, vol. 31(3), pages 304-313, September.
    7. repec:dau:papers:123456789/13190 is not listed on IDEAS
    8. Siskos, J., 1986. "Evaluating a system of furniture retail outlets using an interactive ordinal regression method," European Journal of Operational Research, Elsevier, vol. 23(2), pages 179-193, February.
    9. Olson, Eric M. & Slater, Stanley F., 2002. "The balanced scorecard, competitive strategy, and performance," Business Horizons, Elsevier, vol. 45(3), pages 11-16.
    10. Giuseppe Munda, 2006. "A NAIADE based approach for sustainability benchmarking," International Journal of Environmental Technology and Management, Inderscience Enterprises Ltd, vol. 6(1/2), pages 65-78.
    11. Siskos, Y. & Spyridakos, A., 1999. "Intelligent multicriteria decision support: Overview and perspectives," European Journal of Operational Research, Elsevier, vol. 113(2), pages 236-246, March.
    12. Chang, Shyr-Juh & Hsiao, Hsing-Chin & Huang, Li-Hua & Chang, Hsihui, 2011. "Taiwan quality indicator project and hospital productivity growth," Omega, Elsevier, vol. 39(1), pages 14-22, January.
    13. L C Leung & K C Lam & D Cao, 2006. "Implementing the balanced scorecard using the analytic hierarchy process & the analytic network process," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 57(6), pages 682-691, June.
    14. Laitinen, Erkki K., 2002. "A dynamic performance measurement system: evidence from small Finnish technology companies," Scandinavian Journal of Management, Elsevier, vol. 18(1), pages 65-99, March.
    15. Shimshak, Daniel G. & Lenard, Melanie L. & Klimberg, Ronald K., 2009. "Incorporating quality into data envelopment analysis of nursing home performance: A case study," Omega, Elsevier, vol. 37(3), pages 672-685, June.
    16. Patel, Brijesh & Chaussalet, Thierry & Millard, Peter, 2008. "Balancing the NHS balanced scorecard!," European Journal of Operational Research, Elsevier, vol. 185(3), pages 905-914, March.
    17. Jacquet-Lagreze, Eric & Siskos, Yannis, 2001. "Preference disaggregation: 20 years of MCDA experience," European Journal of Operational Research, Elsevier, vol. 130(2), pages 233-245, April.
    18. Diakoulaki, D. & Zopounidis, C. & Mavrotas, G. & Doumpos, M., 1999. "The use of a preference disaggregation method in energy analysis and policy making," Energy, Elsevier, vol. 24(2), pages 157-166.
    19. Siskos, Y. & Matsatsinis, N. F. & Baourakis, G., 2001. "Multicriteria analysis in agricultural marketing: The case of French olive oil market," European Journal of Operational Research, Elsevier, vol. 130(2), pages 315-331, April.
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