Modelling the determinants of winning in public tendering

• Authors: Maciej MALARA , Mariusz MAZURKIEWICZ
• Languages of publication: EN

Abstracts

EN

The purpose of this article is to identify the factors influencing the probability of winning in public procurement procedures and to assess the strength of their impact from the perspective of both: the bidder and procurer. The research was conducted with the use of series of quantitative methods: binary logistic regression, discriminant analysis and cluster analysis. It was based on a sample consisting of public tenders, in which the examined company performed the role of a bidder. Thus, the research process was aimed at both identifying the factors of success and estimating the probability of achieving it, where it was possible to obtain probabilities. The main idea of this research is to answer questions about the utility of various methods of quantitative analysis in the case of analyzing determinants of success. Results of the research are presented in the following sequence of sections: characteristics of the examined material, the process of modelling the probability of winning, evaluation of the quality of the results obtained.

Keywords

EN

binary logistic regression; discriminant analysis; public procurement law; public procurement procedures

• Publisher: Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
• Journal: Operations Research and Decisions
• Year: 2012
• Volume: 22
• Issue: 1
• Pages: 51-62

Contributors

author

Maciej MALARA

• Institute of Organization and Management, Wrocław University of Technology, ul. Smoluchowskiego 25, 50-372 Wrocław, Poland

author

Mariusz MAZURKIEWICZ

• Institute of Organization and Management, Wrocław University of Technology, ul. Smoluchowskiego 25, 50-372 Wrocław, Poland

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Identifiers

DOI

10.5277/ord120103