Entropy application to improve construction finance decisions

Tang, C M; Leung, A Y T and Lam, K C (2006) Entropy application to improve construction finance decisions. Journal of Construction Engineering and Management, 132(10), pp. 1099-1113. ISSN 0733-9364

Abstract

In financial decision-making processes, the adopted weights of the objective functions have significant impacts on the final decision outcome. However, conventional rating and weighting methods exhibit difficulty in deriving appropriate weights for complex decision-making problems with imprecise information. Entropy is a quantitative measure of uncertainty and has been useful in exploring weights of attributes in decision making. A fuzzy and entropy-based mathematical approach is employed to solve the weighting problem of the objective functions in an overall cash-flow model. The multiproject being undertaken by a medium-size construction firm in Hong Kong was used as a real case study to demonstrate the application of entropy. Its application in multiproject cash flow situations is demonstrated. The results indicate that the overall before-tax profit was HKS 0.11 millions lower after the introduction of appropriate weights. In addition, the best time to invest in new projects arising from positive cash flow was identified to be two working months earlier than the nonweight system.

Item Type: Article
Uncontrolled Keywords: decision making; entropy; financial management; fuzzy sets; weighing devices
Index terms: construction finance, fuzzy set, decision-making process, case study, Hong Kong, financial management, decision-making, construction firm, profit, entropy, cash flow
Subjects: economic analysis, organization, data collection methods, thermal systems, decision-making and optimization, decision analysis, Geography, financial management
Topics: Geographical Context, Research Practice, Cost Management, Business Strategy, Sustainability, Risk Management
Descriptive scope: 3 PCE

N.B. Descriptive scope is a count of how many of the five facets of empirical research are indicated by the words used in title, abstract and keywords. It is not intended as a judgement on the research; merely a count of the kind of word we would expect to indicate Phenomenon, Concepts, Theoretical framing, Empirical techniques, Analytical techniques. If all five are present, then a code of “5 PCTEA” will indicate this. If you feel the coding for this record is questionable, we welcome discussion around the terms we matched or the way we categorized them. The facet you would expect may not be coded, or a facet may be coded inappropriately. This can also bear on a larger question, of which facets should be treated as defining in construction management research. Please get in touch, and we will look at it. More details here