Oo, B L; Drew, D S and Lo, H P (2010) Modeling the heterogeneity in contractors' mark-up behavior. Journal of Construction Engineering and Management, 136(7), pp. 720-729. ISSN 0733-9364
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.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | bids; Hong Kong; models; Singapore |
| Index terms: | mark-up, number of bidders, slope, experiment, market condition, population, bidding, preference, competitive strategy, Singapore, Hong Kong, bidder, estimate, modelling |
| Subjects: | demography, geotechnical engineering, price determination, decision-making and reasoning, Geography, bidding, economic analysis, analytical methods, financial and cost management, data collection methods, economic and policy analysis |
| Topics: | Urban Studies, Procurement, Business Strategy, Cost Management, Engineering Principles, Research Practice, Geographical Context |
| Descriptive scope: | 3 PCE |
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