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DEA performance evaluation based on BSC indicators incorporated

Author

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  • Tser‐Yieth Chen
  • Ling‐hua Chen

Abstract

Purpose - The purpose of this paper is to evaluate the performance of the semiconductor industry in Taiwan, which is the main economic life‐line in Taiwan. Operational performance is normally deemed as a key factor in industry. The importance of this issue can be measured through performance indices to observe the operational performance of Taiwan's semiconductor industry. Design/methodology/approach - A combination of the data envelopment analysis (DEA) and the balanced scorecard (BSC) was employed Findings - This study finds that the efficiency of every domestic semiconductor manufacturer is generally good, and concerning the four perspectives of the balanced scorecard, the most important for the domestic firm is the financial perspective, second is the internal process perspective, third the learning and innovation perspective, and most unimportantly customer perspective. Research limitations/implications - Owing to the difficulties in data collection and the widespread ranges of the four major aspects, the application of the indices is limited in this paper. Therefore, the main suggestion of this study regarding future research directions is to expand the indices of the four aspects, in the hope of measuring the operating efficiency of enterprises in each aspect using more and improved indices. Practical implications - This application can be extended by the usage of the ratio analysis and the BSC method to enhance the validity of the DEA. Originality/value - When implementing DEA, traditional financial indices cannot obtain an in‐depth understanding of an enterprise, hence this study considers the four major constructs of the balanced scorecard in index selection, and employed these four major contracts to expand the indices that can be available for selection and gain a deeper understanding not only of the financial aspects, but also of customers, the internal process, learning, and innovation. It should be noted that the balanced scorecard can develop the performance goal from the perspective of job fulfillment, and uses this view to assess management performance. These indicators can reflect different focuses regarding job fulfillment, and produce pluralism in the performance indices.

Suggested Citation

  • Tser‐Yieth Chen & Ling‐hua Chen, 2007. "DEA performance evaluation based on BSC indicators incorporated," International Journal of Productivity and Performance Management, Emerald Group Publishing Limited, vol. 56(4), pages 335-357, May.
  • Handle: RePEc:eme:ijppmp:v:56:y:2007:i:4:p:335-357
    DOI: 10.1108/17410400710745333
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    Citations

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    Cited by:

    1. Basso, Antonella & Casarin, Francesco & Funari, Stefania, 2018. "How well is the museum performing? A joint use of DEA and BSC to measure the performance of museums," Omega, Elsevier, vol. 81(C), pages 67-84.
    2. Santos, Sérgio P. & Belton, Valerie & Howick, Susan & Pilkington, Martin, 2018. "Measuring organisational performance using a mix of OR methods," Technological Forecasting and Social Change, Elsevier, vol. 131(C), pages 18-30.
    3. Liu, Yang & Dong, Jiuyu & Mei, Liang & Shen, Rui, 2023. "Digital innovation and performance of manufacturing firms: An affordance perspective," Technovation, Elsevier, vol. 119(C).
    4. Chia-Chin Chang & Shiu-Wan Hung & Sin-Yi Huang, 2013. "Evaluating the operational performance of knowledge-based industries: the perspective of intellectual capital," Quality & Quantity: International Journal of Methodology, Springer, vol. 47(3), pages 1367-1383, April.
    5. Amado, Carla A.F. & Santos, Sérgio P. & Marques, Pedro M., 2012. "Integrating the Data Envelopment Analysis and the Balanced Scorecard approaches for enhanced performance assessment," Omega, Elsevier, vol. 40(3), pages 390-403.
    6. Garmani, Maria Cristina N., 2012. "Interregional Performance of the Public Health System of a High-Inequality Country," Insper Working Papers wpe_295, Insper Working Paper, Insper Instituto de Ensino e Pesquisa.
    7. Gramani, Maria Cristina N., 2013. "Interregional Performance of the Public Health System of a High-Inequality Country," Insper Working Papers wpe_310, Insper Working Paper, Insper Instituto de Ensino e Pesquisa.
    8. Li, Hongkuan & He, Haiyan & Shan, Jiefei & Cai, Jingjing, 2019. "Innovation efficiency of semiconductor industry in China: A new framework based on generalized three-stage DEA analysis," Socio-Economic Planning Sciences, Elsevier, vol. 66(C), pages 136-148.
    9. Wen‐Min Lu & Qian Long Kweh & Dong‐Sing He & Jui‐Min Shih, 2017. "Performance analysis of the cultural and creative industry: a network‐based approach," Naval Research Logistics (NRL), John Wiley & Sons, vol. 64(8), pages 662-676, December.
    10. Dong‐Sing He & Imen Tebourbi, 2021. "Measuring the continuation effects of market order entry: A dynamic model," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 42(3), pages 762-777, April.
    11. Bošković Aleksandra & Krstić Ana, 2020. "The Combined Use of Balanced Scorecard and Data Envelopment Analysis in the Banking Industry," Business Systems Research, Sciendo, vol. 11(1), pages 4-15, March.

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