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Does intellectual capital matter? Assessing the profitability and marketability of IC design companies

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  • Mei-Huan Kuo

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  • Chyan Yang
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    Abstract

    Under a highly competitive market and a dynamic industrial environment, how to evaluate and enhance an integrated circuit (IC) design company’s good performance is important. This paper develops a two-stage data envelopment analysis (DEA) combined intellectual capital theory through financial and non-financial data to evaluate a performance process on the IC design company. It adopts a new slacks-based measure (SBM) to obtain a more accurate performance estimation and rank between companies. This paper further uses the Simar and Wilson procedure with a truncated regression to explore the impact of intellectual capital variables on performance and competitive advantage. From the study we suggest to the company in how to enhance precisely its performance to create company value and success. Copyright Springer Science+Business Media B.V. 2012

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    File URL: http://hdl.handle.net/10.1007/s11135-011-9562-6
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    Bibliographic Info

    Article provided by Springer in its journal Quality & Quantity.

    Volume (Year): 46 (2012)
    Issue (Month): 6 (October)
    Pages: 1865-1881

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    Handle: RePEc:spr:qualqt:v:46:y:2012:i:6:p:1865-1881

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    Web page: http://www.springer.com/economics/journal/11135

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    Related research

    Keywords: Data envelopment analysis; Slacks-based measure; Performance measurement; Intellectual capital;

    References

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    1. Zhu, Joe, 2000. "Multi-factor performance measure model with an application to Fortune 500 companies," European Journal of Operational Research, Elsevier, Elsevier, vol. 123(1), pages 105-124, May.
    2. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, Elsevier, vol. 2(6), pages 429-444, November.
    3. Tone, Kaoru, 2002. "A slacks-based measure of super-efficiency in data envelopment analysis," European Journal of Operational Research, Elsevier, Elsevier, vol. 143(1), pages 32-41, November.
    4. Aida, Kazuo & Cooper, William W. & Pastor, Jésus T. & Sueyoshi, Toshiyuki, 1998. "Evaluating Water Supply Services in Japan with RAM: a Range-adjusted Measure of Inefficiency," Omega, Elsevier, vol. 26(2), pages 207-232, April.
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    6. Per Andersen & Niels Christian Petersen, 1993. "A Procedure for Ranking Efficient Units in Data Envelopment Analysis," Management Science, INFORMS, INFORMS, vol. 39(10), pages 1261-1264, October.
    7. Robert Russell, R., 1985. "Measures of technical efficiency," Journal of Economic Theory, Elsevier, vol. 35(1), pages 109-126, February.
    8. Luo, Xueming, 2003. "Evaluating the profitability and marketability efficiency of large banks: An application of data envelopment analysis," Journal of Business Research, Elsevier, vol. 56(8), pages 627-635, August.
    9. Tofallis, C., 1996. "Improving discernment in DEA using profiling," Omega, Elsevier, vol. 24(3), pages 361-364, June.
    10. Tone, Kaoru, 2001. "A slacks-based measure of efficiency in data envelopment analysis," European Journal of Operational Research, Elsevier, Elsevier, vol. 130(3), pages 498-509, May.
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