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    Modeling the Decision-Making Process Concerning Participation in Construction Bidding

    Source: Journal of Management in Engineering:;2015:;Volume ( 031 ):;issue: 002
    Author:
    Agnieszka Leśniak
    ,
    Edyta Plebankiewicz
    DOI: 10.1061/(ASCE)ME.1943-5479.0000237
    Publisher: American Society of Civil Engineers
    Abstract: Deciding whether to take part in a bidding has a significant influence on the condition of a construction company. Not bidding deprives the contractor of the possibility of completing a given building project, yet the contractor has to consider whether, for example, he or she has the capability of carrying out a particular project. This paper presents a brief description of some chosen models aiding the bid/no bid decision that have been proposed in previous studies. Moreover, the authors designed their own model based on the fuzzy set theory. The basis of the decision model became the previous selection of factors influencing the decision. To achieve this, the authors conducted a study among contractors in 2010–2011 in Southern Poland. One hundred and fifty surveys were sent, providing 41% of answers. Based on the analysis of the surveys, according to the contractors, the top three most vital factors influencing the bid/no bid decision are (1) the type of work, (2) experience in similar projects, and (3) contractual terms. Both the evaluation of the factors and their influence on the decision to be made in a given enterprise are largely subjective and hard to unambiguously assess; therefore, the proposed model incorporates the fuzzy set theory, which is exceptionally convenient for finding solutions to the problems resulting from human subjectivity. The results are presented and commented on in this paper.
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      Modeling the Decision-Making Process Concerning Participation in Construction Bidding

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    https://yetl.yabesh.ir/yetl1/handle/yetl/66293
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    contributor authorAgnieszka Leśniak
    contributor authorEdyta Plebankiewicz
    date accessioned2017-05-08T21:54:55Z
    date available2017-05-08T21:54:55Z
    date copyrightMarch 2015
    date issued2015
    identifier other%28asce%29me%2E1943-5479%2E0000272.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/66293
    description abstractDeciding whether to take part in a bidding has a significant influence on the condition of a construction company. Not bidding deprives the contractor of the possibility of completing a given building project, yet the contractor has to consider whether, for example, he or she has the capability of carrying out a particular project. This paper presents a brief description of some chosen models aiding the bid/no bid decision that have been proposed in previous studies. Moreover, the authors designed their own model based on the fuzzy set theory. The basis of the decision model became the previous selection of factors influencing the decision. To achieve this, the authors conducted a study among contractors in 2010–2011 in Southern Poland. One hundred and fifty surveys were sent, providing 41% of answers. Based on the analysis of the surveys, according to the contractors, the top three most vital factors influencing the bid/no bid decision are (1) the type of work, (2) experience in similar projects, and (3) contractual terms. Both the evaluation of the factors and their influence on the decision to be made in a given enterprise are largely subjective and hard to unambiguously assess; therefore, the proposed model incorporates the fuzzy set theory, which is exceptionally convenient for finding solutions to the problems resulting from human subjectivity. The results are presented and commented on in this paper.
    publisherAmerican Society of Civil Engineers
    titleModeling the Decision-Making Process Concerning Participation in Construction Bidding
    typeJournal Paper
    journal volume31
    journal issue2
    journal titleJournal of Management in Engineering
    identifier doi10.1061/(ASCE)ME.1943-5479.0000237
    treeJournal of Management in Engineering:;2015:;Volume ( 031 ):;issue: 002
    contenttypeFulltext
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