dc.identifier.citation |
Bageis, A. S., & Fortune, C. (2009). Factors affecting the bid/no bid decision in the Saudi Arabian construction contractors. Construction Management & Economics, 27(1), p53-71. Brook, M. (2008). Estimating and Tendering for Construction Work (4th ed.). Burlington: Elsevier Science & Technology. Cattell, D. W., Bowen, P. A., & Kaka, A. P. (2007). Review of Unbalanced Bidding Models in Construction. Journal of Construction Engineering & Management, 133(8), p562-573. Cheng, E. W. L., & Li, H. (2004). Contractor selection using the analytic network process. Construction Management & Economics, 22(10), p1021-1032. Chua, D. K. H., & Li, D. (2000). Key factors in bid reasoning model. Journal of Construction Engineering & Management, 126(5), p349-357. Chua, D. K. H., & Li, D. Z. (2001). Case-Based Reasoning Approach in Bid Decision Making. Journal of Construction Engineering & Management, 127(1), p35-45. Denscombe, M. (2010). The Good Research Guide : For Small-Scale Social Research Projects (4th ed.). Drew, D., & Skitmore, M. (1997). The effect of contract type and size on competitiveness in bidding. Construction Management & Economics, 15(5), p469- 489. Dulaimi, M. F., & Hong, G. S. (2002). The factors influencing bid mark -up decisions of large-and medium-size contractors in Singapore. Construction Management & Economics, 20(7), p601-610. Egemen, M., & Mohamed, A. N. (2006). Clients' needs, wants and expectations from contractors and approach to the concept of repetitive works in the Northern Cyprus construction market. Building and Environment, 41(5), p602-614. Egemen, M., & Mohamed, A. N. (2007). A framework for contractors to reach strategically correct bid/no bid and mark-up size decisions. Building and Environment, 42(3), p1373-1385. Egemen, M., & Mohamed, A. (2008). SCBMD: A knowledge-based system software for strategically correct bid/no bid and mark -up size decisions. Automation in Construction, 17(7), p864-872. El-Mashaleh, M. S. (2010). Decision to bid or not to bid: a data envelopment analysis approach. Canadian Journal of Civil Engineering, 37(1), p37-44. Civil and Environmental Engineering 24 Fellows, R. F., & Liu, A. M. M. (2008). Research Methods for Construction (3rd ed.). Chichester: John Wiley & Sons, Ltd. Fu, W. K., Drew, D. S., & Lo, H. P. (2002). The effect of experience on contractors' competitiveness in recurrent bidding. Construction Management & Economics, 20(8), p655-666. Fu, W. K., Drew, D. S., & Lo, H. P. (2003). Competitiveness of Inexperienced and Experienced Contractors in Bidding. Journal of Construction Engineering & Management, 129(4), p388-395. |
en_US |
dc.description.abstract |
Two critical decisions faced by bidders in competitive bidding include, firstly,
whether or not to submit a bid, and secondly (if the answer to the first is ‘yes’) what
markup value should be used on the submitted bid. In the construction industry,
government agencies and private sector clients typically adopt competitive bidding to
determine contract awards. There are many variables that affect contractor decisions
regarding whether to bid and the markup scale, which complicate the bidding decision
process. Not bidding for a project could result in losing a good opportunity to make
substantial profit, improve the contractor’s strength in the industry, gain relationship
with the client, and more. However, bidding for inappropriate projects may result in
large losses or the consumption of time and resources that could be invested in more
profitable projects, ultimately even financial failure of the contractor. This dilemma
expresses the importance of the bid / no bid decision. The high complex process is a
major characteristic of the bidding decision, which involves a large quantity of
objectives and reflection of several internal and external factors. Smart contractors
realize the importance of doing initial research and project evaluation before
committing themselves to a construction project.
In Bangladesh, recently government has identified construction sector as an industry.
Here is an attempt is being made to identify the construction industry of Bangladesh
through different parameters. Proper identification of problems and information about
the industry will enrich the contributions to the national economy. This paper reports
on-going research aims to develop a framework that can be used as a decision aid for
project evaluations at the initial project selection decision phase. The results from a
review of the literature concerning the bid / no bid decision are presented, and a
conceptual model is developed. |
en_US |