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Integrating hierarchical balanced scorecard with non-additive fuzzy integral for evaluating high technology firm performance

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  • Wang, Chun-Hsien
  • Lu, Iuan-Yuan
  • Chen, Chin-Bein

Abstract

Efficient and accurate performance measurement systems serve as a useful tool enabling managers to control, monitor and improve high technology firm processes, productivity and performance. A model is developed for measuring the acceptable performance of high tech firms based on the interaction financial, customers, internal business process and learning and growth perspective. The HBSC structure integrated with non-additive fuzzy integral for designing, developing and implementing high technology firms relevant to performance measurement was employed to overcome interaction among the various perspectives. Sixteen samples from eight high tech firms are used throughout the study to explain how the execution of the model works. Utilizing the proposed model, the fuzzy assessment of the decision-maker and the interaction among various evaluation criteria can be a focus of the evaluation of the aggregation performance, thus ensuring more effective and accurate performance evaluation and decision-making. In the light of this empirical evidence, the results provide guidance to high tech firms performance measurement in both identification appropriate metrics and overcoming key implementation obstacles for improving firm-operating efficiency and hence assistance for future strategic adjustment.

Suggested Citation

  • Wang, Chun-Hsien & Lu, Iuan-Yuan & Chen, Chin-Bein, 2010. "Integrating hierarchical balanced scorecard with non-additive fuzzy integral for evaluating high technology firm performance," International Journal of Production Economics, Elsevier, vol. 128(1), pages 413-426, November.
    • Handle: RePEc:eee:proeco:v:128:y:2010:i:1:p:413-426
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    Cited by:

    1. Mohammad Taleghani, 2017. "Synergistic Role of Balanced Scorecard/Activity Based Costing and Goal Programming Combined Model on Strategic Cost Management," International Journal of Economics and Financial Issues, Econjournals, vol. 7(3), pages 586-593.
    2. Madjid Tavana & Kaveh Khalili-Damghani & Rahman Rahmatian, 2015. "A hybrid fuzzy MCDM method for measuring the performance of publicly held pharmaceutical companies," Annals of Operations Research, Springer, vol. 226(1), pages 589-621, March.
    3. Khanmohammadi, Ehsan & Malmir, Behnam & Safari, Hossein & Zandieh, Mostafa, 2019. "A new approach to strategic objectives ranking based on fuzzy logarithmic least squares method and fuzzy similarity technique," Operations Research Perspectives, Elsevier, vol. 6(C).
    4. Yael Perlman, 2013. "Causal Relationships in the Balanced Scorecard: A Path Analysis Approach," Journal of Management and Strategy, Journal of Management and Strategy, Sciedu Press, vol. 4(1), pages 70-79, February.
    5. Zdenka Dudic & Branislav Dudic & Michal Gregus & Daniela Novackova & Ivana Djakovic, 2020. "The Innovativeness and Usage of the Balanced Scorecard Model in SMEs," Sustainability, MDPI, vol. 12(8), pages 1-22, April.

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