Impact of considering need for work and risk on performance of construction contractors: An agent-based approach

Automation in Construction

Volumn 65, Issue , 2016, Pages 9-20

  Asgari, Sadegh ^a   Awwad, Rita ^b   Kandil, Amr ^c   Odeh, Ibrahim ^a  

^a Department of Earth and Environmental Sciences   (United States)

^b LEBANESE AMERICAN UNIVERSITY   (Lebanon)

^c PURDUE UNIVERSITY   (United States)

Author keywords

Agent based modeling; Competitive bidding; Computer aided simulation; Markup; Multi attribute decision making; Need for work; Risk attitude

Indexed keywords

AUTONOMOUS AGENTS; COMMERCE; COMPUTATIONAL METHODS; DECISION MAKING; RISK PERCEPTION; SOFTWARE AGENTS;

AGENT-BASED MODEL; COMPETITIVE BIDDING; COMPUTER AIDED SIMULATIONS; MARKUP; MULTI ATTRIBUTE DECISION MAKING; NEED FOR WORK; RISK ATTITUDE;

CONTRACTORS;

EID: 84958225535     PISSN: 09265805     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.autcon.2016.01.004     Document Type: Article

References (45)

1. I. Ahmad, and I. Minkarah Questionnaire survey on bidding in construction. J. Manag. Eng., ASCE 4 3 1988 229 243
2. S. Asgari, A. Afshar, and K. Madani Cooperative game theoretic framework for joint resource management in construction J. Constr. Eng. Manag. 140 3 2014 (04013066)
3. R. Awwad, S. Asgari, and A. Kandil Developing a virtual laboratory for construction bidding environment using agent-based modeling J. Comput. Civ. Eng., ASCE 2014 (04014105)
4. E. Azar, and C. Menassa Agent-based modeling of occupants and their impact on energy use in commercial buildings J. Comput. Civ. Eng. 26 4 2012 506 518
5. E. Azar, and C. Menassa A framework to evaluate energy saving potential from occupancy interventions in typical US commercial buildings J. Comput. Civ. Eng. 28 1 2014 63 78
6. E. Bonabeau Agent-based modeling: methods and techniques for simulating human systems Proc. Natl. Acad. Sci. U. S. A. 99 Suppl. 3 2002 7280 7287
7. P.D. Boughton The competitive bidding process: beyond probability models Ind. Mark. Manag. 16 1987 87 94
8. R.I. Carr General bidding model J. Constr. Div., ASCE 108 4 1982 639 650
9. R.I. Carr Impact of number of bidders on competition J. Constr. Eng. Manag., ASCE 109 1 1983 61 73
10. J. Chen, R.K. Jain, and J.E. Taylor Block configuration modeling: a novel simulation model to emulate building occupant peer networks and their impact on building energy consumption Appl. Energy 105 2013 358 368
11. S.E. Christodoulou Optimum bid markup calculation using neurofuzzy systems and multidimensional risk analysis algorithm J. Comput. Civ. Eng., ASCE 18 4 2004 322 330
12. D.K.H. Chua, and D. Li Key factors in bid reasoning model J. Constr. Eng. Manag., ASCE 126 5 2000 349 357
13. R. DeNeufville, E.N. Hani, and Y. Lesage Bidding models: effects of bidders' risk aversion J. Constr. Div. 103 CO1 1977 57 70
14. R. DeNeufville, and D. King Risk and need for work premiums in contractor bidding J. Constr. Eng. Manag., ASCE 117 4 1991 659 673
15. S.P. Dozzi, S.M. AbouRizk, and S.L. Schroeder Utility-theory model for bid markup decisions J. Constr. Eng. Manag., ASCE 122 2 1996 119 124
16. M.F. Dulaimi, and H.G. Shan The factors influencing bid mark-up decisions of large and medium size contractors in Singapore Constr. Manag. Econ. 20 7 2002 601 610
17. I. El-Adaway, and A. Kandil Multiagent system for construction dispute resolution (MAS-COR) J. Constr. Eng. Manag. 136 3 2010 303 315
18. A. Fayek Competitive bidding strategy model and software system for bid preparation J. Constr. Eng. Manag. 124 1 1998 1 10
19. L. Friedman A competitive bidding strategy Oper. Res. 4 1 1956 104 112
20. R. Garcia Uses of agent-based modeling in innovation/new product development research J. Prod. Innov. Manag. 22 5 2005 380 398
21. M. Gates Bidding strategies and probabilities J. Constr. Div., ASCE 93 1 1967 75 107
22. T. Hegazy, and O. Moselhi Analogy-based solution to markup estimation problem J. Comput. Civ. Eng. 8 1 1994 72 87
23. S.P. Ho, and Y. Hsu Bid compensation theory and strategies for projects with heterogeneous bidders: a game theoretic analysis J. Manag. Eng. 30 5 2014 (04014022)
24. C.W. Ibbs, and K.C. Crandall Construction risk: multi-attribute approach J. Constr. Div., ASCE 108 2 1982 187 200
25. H.J. Kim, and K.F. Reinschmidt Effects of contractors' risk attitude on competition in construction J. Constr. Eng. Manag., ASCE 137 4 2011 275 283
26. H.J. Kim, and K.F. Reinschmidt Association of risk attitude with market diversification in the construction business J. Manag. Eng., ASCE 27 2 2011 66 74
27. S. Laryea, and W. Hughes Risk and price in the bidding process of contractors J. Constr. Eng. Manag., ASCE 137 4 2011 248 258
28. A.M. Law, W.D. Kelton, and W.D. Kelton Simulation Modeling and Analysis 2 1991 McGraw-Hill New York
29. A. Lesniak, and E. Plebankiewicz Modeling the decision-making process concerning participation in construction bidding J. Manag. Eng. 2014 (04014032)
30. M. Liu, and Y.Y. Ling Modeling a contractor's markup estimation J. Constr. Eng. Manag., ASCE 131 4 2005 391 399
31. S. Metcalfe, and J. Foster Evolution and economic complexity 2004 Edward Elgar Publishing Northampton, MA
32. B.L. Oo, D.S. Drew, and H.P. Lo Heterogeneous approach to modeling contractors' decision-to-bid strategies J. Constr. Eng. Manag., ASCE 134 10 2008 766 775
33. B.L. Oo, D.S. Drew, and H.P. Lo Modeling the heterogeneity in contractors' mark-up behavior J. Constr. Eng. Manag., ASCE 136 7 2010 720 729
34. H. Said, A. Kandil, S. Nookala, H. Cai, M. El-Gafy, A. Senouci, and H. Al-Derham Modeling of the sustainability goal and objective setting process in the predesign phase of green institutional building projects J. Archit. Eng. 20 2 2014 (04013007)
35. K.L. Sanford Bernhardt, and S. McNeil Agent-Based Modeling: Approach for Improving Infrastructure Management J. Infrastruct. Syst. 14 3 2008 253 261
36. R.G. Sargent Verification and validation of simulation models J. Simul. 7 1 2013 12 24
37. A. Sawhney, H. Bashford, K. Walsh, and A.R. Mulky Agent-based modeling and simulation in construction Proc., 2003 Winter Simulation Conference,IEEE 2003 1541 1547
38. J. Seydel, and D.L. Olson Bids considering multiple criteria J. Constr. Eng. Manag., ASCE 116 4 1990 609 623
39. A.A. Shash Factors considered in tendering decisions by top UK contractors Constr. Manag. Econ. 11 2 1993 111 118
40. G.R. Smith, and M.C. Bohn Small to medium contractor contingency and assumption of risk J. Constr. Eng. Manag. 125 2 1999 101 108
41. H. Unsal, and J. Taylor Modeling interfirm dependency: game theoretic simulation to examine the holdup problem in project networks J. Constr. Eng. Manag. 137 4 2011 284 293
42. W.C. Wang, R.J. Dzeng, and Lu Y.H. Integration of simulation-based cost model and multi-criteria evaluation model for bid price decisions Comput. Aided Civ. Infrastruct. Eng. 22 3 2007 223 235
43. J. Willenbrock Utility function determination for bidding models J. Constr. Div., ASCE 99 1 1973 133 153
44. X. Xiang, R. Kennedy, G. Madey, and S. Cabaniss Verification and validation of agent-based scientific simulation models Agent-Directed Simulation Conference 2005 47 55
45. K. Ye, B. Li, and L. Shen Key factors considered in compiling tender prices for China's public works projects J. Manag. Eng. 29 3 2013 206 215