Ranking corporations based on sustainable and socially responsible practices. A data envelopment analysis (DEA) approach

2009 ◽  
Vol 17 (4) ◽  
pp. 257-268 ◽  
Author(s):  
Constantin Belu
2010 ◽  
Vol 37 (1) ◽  
pp. 37-44 ◽  
Author(s):  
Mohammad S. El-Mashaleh

One of the most crucial decisions that is regularly exercised by construction contractors is to determine whether to bid or not to bid on a certain project. The purpose of this paper is to propose a data envelopment analysis (DEA) approach for the bid–no-bid decision. DEA is a robust non-parametric linear programming approach that is used for benchmarking performance and for making selection decisions. Based on a contractor's database of previous considerations of bidding opportunities, DEA creates a “favorable frontier” that consists of favorable bidding opportunities. New bidding opportunities are evaluated in reference to this “favorable frontier” and the bid–no-bid decision is consequently made. The proposed approach incorporates subjective management expertise and deals systematically with bidding situations to guide contractors in their bid–no-bid determination. A major strength of the proposed DEA approach is that it is deployable by organizations facing the bid–no-bid problem regardless of size, country of operation, number and type of factors considered in bidding, or even industry.


2014 ◽  
Vol 2014 (1) ◽  
pp. 12595 ◽  
Author(s):  
Abagail McWilliams ◽  
Annaleena Parhankangas ◽  
Jason Coupet Coupet ◽  
Darold Barnum

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