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Management performance: An empirical study of the manufacturing companies in Taiwan

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  • Kao, Chiang
  • Hung, Hsi-Tai

Abstract

This paper proposes a methodology to measure the management performance of the firms of an industry. The idea is to break down the very complicated concept of management into subjects such that the performance of each subject can be measured. The performances of all subjects are then aggregated to form an overall performance of management. The weights associated with the subjects which play a decisive role in aggregation are determined from a two-stage method. This method takes into account both the experience of the experts and the reality reflected by the data collected from the firms. Therefore, the weights generated are more acceptable to the firms. An example of the manufacturing firms in Taiwan illustrates how management is broken down into subjects and how their performances are aggregated. A regression analysis shows that management, in addition to capital and labor, makes a significant contribution to organizational performance. Although the discussion of this paper is confined to the manufacturing industry in Taiwan, the methodology can be applied to other industries and other countries.

Suggested Citation

  • Kao, Chiang & Hung, Hsi-Tai, 2007. "Management performance: An empirical study of the manufacturing companies in Taiwan," Omega, Elsevier, vol. 35(2), pages 152-160, April.
  • Handle: RePEc:eee:jomega:v:35:y:2007:i:2:p:152-160
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    References listed on IDEAS

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    5. Flavia Fechete & Anisor Nedelcu, 2019. "Performance Management Assessment Model for Sustainable Development," Sustainability, MDPI, vol. 11(10), pages 1-27, May.
    6. Ruiz, Francisco & El Gibari, Samira & Cabello, José M. & Gómez, Trinidad, 2020. "MRP-WSCI: Multiple reference point based weak and strong composite indicators," Omega, Elsevier, vol. 95(C).
    7. Tseng, Fang-Mei & Chiu, Yu-Jing & Chen, Ja-Shen, 2009. "Measuring business performance in the high-tech manufacturing industry: A case study of Taiwan's large-sized TFT-LCD panel companies," Omega, Elsevier, vol. 37(3), pages 686-697, June.
    8. Giannis Karagiannis & Georgia Paschalidou, 2017. "Assessing research effectiveness: a comparison of alternative nonparametric models," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 68(4), pages 456-468, April.
    9. Giannis Karagiannis & Suzanna M. Paleologou, 2021. "A regression-based improvement to the multiple criteria ABC inventory classification analysis," Annals of Operations Research, Springer, vol. 306(1), pages 369-382, November.
    10. Walheer, Barnabe & Hudik, Marek, 2019. "Reallocation of resources in multidivisional firms: A nonparametric approach," International Journal of Production Economics, Elsevier, vol. 214(C), pages 196-205.
    11. Panayiotis Tzeremes, 2020. "Productivity, efficiency and firm’s market value: Microeconomic evidence from multinational corporations," Bulletin of Applied Economics, Risk Market Journals, vol. 7(1), pages 95-105.
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    14. Karagiannis, Roxani & Karagiannis, Giannis, 2020. "Constructing composite indicators with Shannon entropy: The case of Human Development Index," Socio-Economic Planning Sciences, Elsevier, vol. 70(C).

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