Abstract
Taiwan has maintained its competitiveness in the global industrial PC market due to its effective supply chain management. In the operational level, however, integration of corporate resources is required and the development of a growth and profit assessment model can result in the most value for the shareholders, the employees, the society and the nation. This research adopts the fuzzy logic approach to propose an assessment model for evaluating the performances of Taiwan’s industrial PC companies. The strength of this approach transforms indistinct language and uncertain cogitation of human decision-making to quantitative data. Qualitative expert surveys and quantitative financial data are collected from Taiwan’s industrial PC companies in 2008 to ensure the validity and objectiveness of model assessment. A total of 6 dimensions, including potentiality, capital structure, solvency, corporate performance, profitability, and cash flow, are elicited, and 20 assessment factors are identified to serve as the criteria for assessment.
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Huang, TT., Huang, SY., Chen, YH. (2010). A Fuzzy Model Applied on Assessing Operating Performance of Industrial PC. In: Pan, JS., Chen, SM., Nguyen, N.T. (eds) Computational Collective Intelligence. Technologies and Applications. ICCCI 2010. Lecture Notes in Computer Science(), vol 6423. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-16696-9_37
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DOI: https://doi.org/10.1007/978-3-642-16696-9_37
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-16695-2
Online ISBN: 978-3-642-16696-9
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