SMEs' Performance Evaluation and Optimization Based on Dea and CFI

• Autorzy: Zhao Shi , Josu Takala , Matti Muhos , Jyrki Poikkimaki , Yang Chen
• Języki publikacji: EN

Abstrakty

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.(original abstract)

Słowa kluczowe

EN

Small business; Results evaluation; Optimalization

PL

Małe i średnie przedsiębiorstwa; Ocena wyników; Optymalizacja

• Czasopismo: Management and Production Engineering Review
• Rocznik: 2013
• Tom: 4
• Numer: nr 1
• Strony: 57--64

Twórcy

autor

Zhao Shi

• University of Vaasa, Department of Production, Finland

autor

Josu Takala

• Vaasa University of Applied Sciences, Finland

autor

Matti Muhos

• University of Oulu, Department of Industrial Engineering and Management, Finland

autor

Jyrki Poikkimaki

• VTT, Technical Research Centre of Finland, Finland

autor

Yang Chen

• University of Vaasa, Department of Production, Finland

Bibliografia

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Identyfikatory

DOI

10.2478/mper-2013-0007