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AuthorGunduz, Murat
AuthorKaracan, H. Volkan
Available date2020-09-17T11:12:41Z
Publication Date2017
Publication NameTechnological and Economic Development of Economy
ResourceScopus
ISSN20294913
URIhttp://dx.doi.org/10.3846/20294913.2015.1071294
URIhttp://hdl.handle.net/10576/16139
AbstractThis study was performed in order to reveal factors affecting abnormally low tenders (ALTs) and to minimize negative effects of them. A thorough literature review was carried out to observe past research about the reasons of and possible solutions to ALTs. A questionnaire was prepared and submitted to construction professionals to capture negative impacts of ALTs based on the interviews with experts and past literature. 430 companies responded to the questionnaire. The data analysis was carried out by the multinomial logistic regression statistical tool. Having quality control systems and restricted procedure with prequalification procurement systems were main significant factors to reduce ALTs. Based on all significant factors, recommendations were made to construction professionals and companies to reduce adverse effects of ALTs. 1 2017 Vilnius Gediminas Technical University (VGTU) Press.
Languageen
PublisherTaylor and Francis Ltd.
Subjectabnormally low tenders
inquisition rates
multinomial logistic analysis
TitleAssessment of abnormally low tenders: a multinomial logistic regression approach
TypeArticle
Pagination848-859
Issue Number6
Volume Number23
dc.accessType Open Access


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