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SMEs' performance evaluation and optimization based on DEA and CFI

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EN
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EN
It is a core content of enterprise performance research evaluating and comparing enterprise performance in dynamic environment. In allusion to this problem, a variety of enterprise performance assessment methods and indexes systems are proposed. Data envelopment analysis (DEA) is a kind of effective mathematical model which is used for comparing the performance among enterprises or different units inside an enterprise, based on the real-world data. Through comparing the performance, DEA can evaluate the enterprise performance from scale effectiveness and technological effectiveness, and then get the performance optimization goals. Critical Factor Index (CFI) is a new enterprise performance assessment method proposed in recent years. This method, based on the performance perception of business leaders or staffs, evaluates the enterprise performance in different dimensions, and then gets the optimization strategy of enterprise resource allocation to improve integrated enterprise performance. This paper has structured a new evaluation and optimization system for performance of small and medium-sized enterprises (SMEs), which combine properly the DEA and CFI method to evaluate and optimize the SMEs' performance comprehensively, and has confirm this system with data of 5 Finnish SMEs.
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  • University of Vaasa, Department of Production, FIN-65101 Vaasa, Finland, phone: +358-6-3248 448, josu.takala@uwasa.fi
Bibliografia
  • [1] Ayyagari M., Beck T., Demirguc-Kunt A., Small and medium enterprises across the globe, Small Business Economics, 29, 4, 415-434, 2007.
  • [2] Storey D.J., Entrepreneurship, Small and Medium Sized Enterprises and Public Policy, Acs ZJ &Audretsch DB (eds) Handbook of Entrepreneurship Research, Dordrecht, International Handbook of Entrepreneurship Research, 473-511, 2003.
  • [3] Tagliavini M., Ravarini A., Antonelli A., An evaluation model for electronic commerce activities within SMEs, Information Technology and Management, 2, 2, 211-230, 2001.
  • [4] Beck T., Demirguc-Kunt A., Levine R., SMEs, growth, and poverty: cross-country evidence, Journal of Economic Growth 10(3): 199-229, 2005.
  • [5] Reynolds P.D., New and small firms in expanding markets, Small Business Economics, 9, 1, 79-84, 1997.
  • [6] Robson P.J.A., Bennett R.J., SME Growth: The Relationship with Business Advice and External Collaboration, Small Business Economics, 15, 3, 193-208, 2000.
  • [7] Blili S., Raymond L., Information technology: threats and opportunities for small and mediumsized enterprises, Int. J. Inf. Manage, 13, 6, 439-448, 1993.
  • [8] Takala J., Satayapaisal A., Wiriyacosol S., Chansangavej C: Critical performance attributes of thai automotive supply chains, 3, 2, 36-48, DOI: 10.2478/v10270-012-0014-o, June 2012.
  • [9] Schatten A., Schiefer J., Agile business process management with sense and respond, International Conference on e-Business Engineering 2007 proceedings of the international conference in Hong Kong, IEEE Computer Society, Washington, pp. 319-322, 2007.
  • [10] Ranta J-M., Takala J., A holistic method for finding out critical features of industry maintenance services, International Journal of Services and Standards by Inderscience Enterprises Ltd., UK, 3, 3, 312-325, 2007.
  • [11] Menguc B., Auh S., Shih E., Transformational leadership and market orientation: Implications for the implementation of competitive strategies and business unit performance, Journal of Business Research, 60, 4, 314-321, 2007.
  • [12] Nadler D., Takala J., The development of the CFI method to measure the performance of business processes based on real life expectations and experiences, International Conference on Innovation and Management, ICIM2010, December 4-5, Wuhan, China, 2010.
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Bibliografia
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bwmeta1.element.baztech-article-BAR0-0070-0050
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