TECHNICAL PAPERS
Jun 15, 2010

Modeling the Heterogeneity in Contractors’ Mark-Up Behavior

Publication: Journal of Construction Engineering and Management
Volume 136, Issue 7

Abstract

Individual contractors exhibit different bidding behaviors when confronted with a given set of project decision environment factors, i.e., heterogeneity in the population of contractors. In examining the tenability of the bidder homogeneity assumption, a linear mixed modeling approach is applied to two data sets obtained from Hong Kong and Singapore contractors via a bidding experiment. Two linear mixed models were developed by relating the contractors’ mark-up decision to four project decision environment factors, namely, (1) market conditions; (2) number of bidders; (3) project type; and (4) project size. The results show that not only is there a significant heterogeneity between the Hong Kong and the Singapore contractors in terms of both their preferences (intercepts) and responses (slopes) to the project decision environment factors that affect their mark-up decision, but also that the individual Hong Kong and Singapore contractors have different degrees of sensitivity toward the project decision environment factors (which is reflected in the varying individual-specific intercepts and slopes). These individual-specific parameter estimates have implications for managerial action in formulating a firm’s competitive strategies.

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Go to Journal of Construction Engineering and Management
Journal of Construction Engineering and Management
Volume 136Issue 7July 2010
Pages: 720 - 729

History

Received: Feb 21, 2009
Accepted: Dec 22, 2009
Published online: Jun 15, 2010
Published in print: Jul 2010

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Authors

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Lecturer, School of Civil Engineering, Univ. of Sydney, Sydney, NSW 2006, Australia (corresponding author). E-mail: [email protected]
Derek S. Drew [email protected]
Associate Professor, Dept. of Building and Real Estate, Hong Kong Polytechnic Univ., Kowloon, Hong Kong. E-mail: [email protected]
Associate Professor, Dept. of Management Sciences, Hong Kong City Univ., Kowloon Tong, Hong Kong. E-mail: [email protected]

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