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Measuring business performance in the high-tech manufacturing industry: A case study of Taiwan's large-sized TFT-LCD panel companies

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  • Tseng, Fang-Mei
  • Chiu, Yu-Jing
  • Chen, Ja-Shen

Abstract

The nature of competition in the high-technology manufacturing industry has changed dramatically over the last two decades, and any of the traditional indicators of business performance are insufficient today. We have identified a new set of financial and non-financial performance indicators that can be used by high-tech manufacturing companies and have developed a business performance evaluation model. A data envelopment analysis (DEA), an analytic hierarchy process (AHP), and a fuzzy multi-criteria decision-making approach are used in the model. Data from large-sized thin-film transistor liquid-crystal display panel companies in Taiwan were collected via a field survey and from various published databases and were fed into the model to determine the relative business performance of the companies. We hope that our findings will help high-tech manufacturing executives determine their companies' strengths and weaknesses and lead to future improvements in business operations.

Suggested Citation

  • 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.
  • Handle: RePEc:eee:jomega:v:37:y:2009:i:3:p:686-697
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    References listed on IDEAS

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    Cited by:

    1. Marikka Heikkilä & Harry Bouwman & Jukka Heikkilä & Sam Solaimani & Wil Janssen, 2016. "Business model metrics: an open repository," Information Systems and e-Business Management, Springer, vol. 14(2), pages 337-366, May.
    2. Olhager, Jan & Prajogo, Daniel I., 2012. "The impact of manufacturing and supply chain improvement initiatives: A survey comparing make-to-order and make-to-stock firms," Omega, Elsevier, vol. 40(2), pages 159-165, April.
    3. Li, Sheng-Tun & Chou, Wei-Chien, 2014. "Power planning in ICT infrastructure: A multi-criteria operational performance evaluation approach," Omega, Elsevier, vol. 49(C), pages 134-148.
    4. Lee, Peter K.C. & Cheng, T.C. Edwin & Yeung, Andy C.L. & Lai, Kee-hung, 2011. "An empirical study of transformational leadership, team performance and service quality in retail banks," Omega, Elsevier, vol. 39(6), pages 690-701, December.
    5. Ramanathan, Ramakrishnan & Ramanathan, Usha, 2010. "A qualitative perspective to deriving weights from pairwise comparison matrices," Omega, Elsevier, vol. 38(3-4), pages 228-232, June.
    6. Zhong, Wei & Yuan, Wei & Li, Susan X. & Huang, Zhimin, 2011. "The performance evaluation of regional R&D investments in China: An application of DEA based on the first official China economic census data," Omega, Elsevier, vol. 39(4), pages 447-455, August.
    7. Boly, Vincent & Morel, Laure & Assielou, N’Doli Guillaume & Camargo, Mauricio, 2014. "Evaluating innovative processes in french firms: Methodological proposition for firm innovation capacity evaluation," Research Policy, Elsevier, vol. 43(3), pages 608-622.
    8. Ann Ling-Ching Chan & Edward Lee & Jirada Petaibanlue & Ning Tan, 2017. "Do board interlocks motivate voluntary disclosure? Evidence from Taiwan," Review of Quantitative Finance and Accounting, Springer, vol. 48(2), pages 441-466, February.
    9. repec:eee:ejores:v:267:y:2018:i:2:p:399-414 is not listed on IDEAS
    10. Amy H. I. Lee & Chun Yu Lin & He-Yau Kang & Wen Hsin Lee, 2012. "An Integrated Performance Evaluation Model for the Photovoltaics Industry," Energies, MDPI, Open Access Journal, vol. 5(4), pages 1-21, April.
    11. Li, Nan & Liu, Cengceng & Zha, Donglan, 2016. "Performance evaluation of Chinese photovoltaic companies with the input-oriented dynamic SBM model," Renewable Energy, Elsevier, vol. 89(C), pages 489-497.
    12. repec:eee:soceps:v:60:y:2017:i:c:p:24-33 is not listed on IDEAS
    13. Sardana, Deepak & Terziovski, Mile & Gupta, Narain, 2016. "The impact of strategic alignment and responsiveness to market on manufacturing firm's performance," International Journal of Production Economics, Elsevier, vol. 177(C), pages 131-138.
    14. L. A. Shah & A. Etienne & A. Siadat & F. Vernadat, 2016. "Decision-making in the manufacturing environment using a value-risk graph," Journal of Intelligent Manufacturing, Springer, vol. 27(3), pages 617-630, June.
    15. repec:spr:grdene:v:21:y:2012:i:3:d:10.1007_s10726-009-9182-x is not listed on IDEAS

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