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Alex, D P, Al Hussein, M, Bouferguene, A and Fernando, S (2010) Artificial Neural Network Model for Cost Estimation: City of Edmonton’s Water and Sewer Installation Services. Journal of Construction Engineering and Management, 136(07), 745–56.
Bashir, H A (2010) Removal of Redundant Relationships in an AON Project Network for Evaluating Schedule Complexity. Journal of Construction Engineering and Management, 136(07), 787–93.
Chiang, Y H, Cheng, E W L and Lam, P T I (2010) Employing the Net Present Value-Consistent IRR Methods for PFI Contracts. Journal of Construction Engineering and Management, 136(07), 811–4.
El-Anwar, O, El-Rayes, K and Elnashai, A S (2010) Maximizing the Sustainability of Integrated Housing Recovery Efforts. Journal of Construction Engineering and Management, 136(07), 794–802.
El-Gohary, N M and El-Diraby, T E (2010) Domain Ontology for Processes in Infrastructure and Construction. Journal of Construction Engineering and Management, 136(07), 730–44.
Gallego, E, Fuentes, J M, Ramírez, A and Ayuga, F (2010) Design of Tall Formworks by a Finite-Element Model. Journal of Construction Engineering and Management, 136(07), 803–10.
Hartmann, T and Levitt, R E (2010) Understanding and Managing Three-Dimensional/ Four-Dimensional Model Implementations at the Project Team Level. Journal of Construction Engineering and Management, 136(07), 757–67.
Kim, A and Arditi, D (2010) Performance of MBE/DBE/WBE Construction Firms in Transportation Projects. Journal of Construction Engineering and Management, 136(07), 768–77.
Oo, B, Drew, D S and Lo, H (2010) Modeling the Heterogeneity in Contractors’ Mark-Up Behavior. Journal of Construction Engineering and Management, 136(07), 720–9.
- Type: Journal Article
- Keywords: Bids; Models; Construction industry; Hong Kong; Singapore; Bids; Models; Construction industry; Hong Kong; Singapore;
- ISBN/ISSN: 0733-9364
- URL: https://doi.org/10.1061/(ASCE)CO.1943-7862.0000186
- 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.
Yang, J, Shen, G Q, Drew, D S and Ho, M (2010) Critical Success Factors for Stakeholder Management: Construction Practitioners’ Perspectives. Journal of Construction Engineering and Management, 136(07), 778–86.