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An empirical study on using decision support systems to solve very large choice decision problems

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  • H. Wang

Abstract

Choice problems as a class of decision problems have attracted great attention for the last couple of decades. As problem size increases, a decision process may be detoured and the decision outcome may be different. The impact of problem size on three important aspects of the computer-aided decision process – strategy selection, decision time/effort, and decision quality – has been investigated by Wang and Chu. This paper investigates the way a decision support system (DSS) is used to solve very large choice problems (VLCP) as well as its implications for small to medium-sized enterprises (SMEs).

Suggested Citation

  • H. Wang, 2004. "An empirical study on using decision support systems to solve very large choice decision problems," International Journal of Management and Enterprise Development, Inderscience Enterprises Ltd, vol. 1(4), pages 375-389.
    • Handle: RePEc:ids:ijmede:v:1:y:2004:i:4:p:375-389
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    Cited by:

    1. Borong Zou & Hong Wang & Hui Li & Ling Li & Yuhan Zhao, 2022. "Predicting stock index movement using twin support vector machine as an integral part of enterprise system," Systems Research and Behavioral Science, Wiley Blackwell, vol. 39(3), pages 428-439, May.

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