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2 Operations Research and Decisions

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Modelling the determinants of winning in public tendering

100%

MALARA M. , MAZURKIEWICZ M.

nr 1

51-62

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.

Analysis of the risk of companies’ bankruptcy in Polish food and beverages production sectory usaingthef Cox regression

100%

DOMINIAK P. , MAZURKIEWICZ M.

tom 21

nr 1

19-31

Analysis of the risk of a company’s bankruptcy in Polish food and beverages production sector (NACE, No. 15) has been carried out using econometric modelling in the form of the Cox regression. The purpose of this paper was to find factors (models) describing the risk of a company’s bankruptcy. The described approach to modelling of the risk of bankruptcy is – in the case of quantitative variables – the use of “raw” positions from financial accounts.