Wyniki wyszukiwania - Biblioteka Nauki

1

Modelling the determinants of winning in public tendering

100%

MALARA M. , MAZURKIEWICZ M.

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nr 1

51-62

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.

2

Modelling the determinants of winning in public tendering procedures based on the activity of a selected company

88%

Malara M. , Mazurkiewicz M.

Operations Research and Decisions

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2012

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tom Vol. 22, No. 1

51--62

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.

3

The Evaluation and Prediction of the Viability of Construction Enterprises

75%

Marek V. , Zuzana R.

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tom 1

60-75

EN

This paper provides a comprehensive method for the evaluation of a company. Specifically, it concerns the prediction of the viability of Czech construction companies. The construction industry is a very specific industry. This is primarily due to the nature of the product. The use of many production factors to convert to a farm (a house, a factory building, etc.) is assumed. Each contract of a construction company (apart from the exceptions) is usually unique. In addition, the field produces long-term assets. As the generic name suggests, the product is used by a consumer (a household or firm) over a long period of time. Such a product is seen to some extent as a consumer one in the consumer market. However, it enters the market of production factors in the form of fixed assets. Due to this fact, construction is usually a field which first inhibits its activity and suffers a loss in times of crisis. On the other hand, it also becomes the first field which enters a phase of growth after a crisis period. The offered method is not only a suitable tool for managers of individual companies, but it may indicate the stage of the economic cycle in the particular country or in a particular market at ta correct selection of those monitored companies. The methodology of the formation in an offered model is applicable not only in the Czech Republic but it is also transferable to other countries in Europe and the world, where it will also be able to take into account the specifics of local markets, too, after its application.

4

Czynniki wpływające na podjęcie decyzji o wyborze pożyczkodawcy przez osoby 50+

63%

Lewicka B. A.

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2016

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tom 50

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nr 4

EN

The aim of this paper is to present which factors have an influence on where a resident of Lubelskie region who is over 50 years old borrows money. In order to find relationships between reasons for borrowing and chosen institution, binary logistic regression was applied. Three models were built, describing factors which decrease or increase the likelihood of borrowing from banks, non-banks institutions and family and friends. Interpretation of models revealed that borrowing motives play a great role in a lender choosing. For example, in case of problems with making ends meet or with meeting basic needs the likelihood of using non-banks institutions and relatives increases. Whereas, if a person who is over 50 years old wants to support his/her family, chances on taking out a loan from a bank increases nearly 23 times.

PL

Celem artykułu jest wskazanie czynników determinujących wybór pożyczkodawcy przez mieszkańców województwa lubelskiego w wieku 50+. Aby wykazać zależności między przyczynami pożyczki a decyzją, gdzie powinno się ją zaciągnąć, zastosowano metodę regresji logistycznej. Zbudowano trzy modele opisujące, jakie czynniki zwiększają bądź zmniejszają prawdopodobieństwo skorzystania z kredytu bankowego, pożyczki w instytucji pozabankowej oraz pożyczki od osób fizycznych (znajomych i rodziny). Interpretacja modeli wykazała, że powody, dla których osoba 50+ pożycza środki, odgrywają ważną rolę przy wyborze pożyczkodawcy. Przykładowo w sytuacji doświadczania przejściowych kłopotów finansowych czy problemów z zaspokojeniem podstawowych potrzeb, istotnie wzrasta prawdopodobieństwo wykorzystania instytucji pozabankowych oraz rodziny i znajomych. Inaczej jest w sytuacji, gdy osoba w wieku 50+ chce wesprzeć swoją rodzinę. Wówczas szansa na zaciągnięcie przez nią kredytu bankowego wzrasta aż 23-krotnie.

5

A study on interstate freight mode choice between trucks and trains used to transport oil products: a case study of Iraq

51%

Noor H. M. , Asmael N. M.

Transport Problems

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2023

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tom T. 18, z. 3

29--40

EN

Freight mode choice is an important stage in shipping demand modeling. Transporting oil products using trucks between cities has several issues, including increased risk of accidents, higher transportation costs, environmental impact, and traffic congestion. Due to the absence of local studies, in addition to the few global studies that deal with freight mode selection used to transport oil derivatives between cities, the aim of the study is to develop transport mode choice models for trucks and trains transporting oil products between the interstate capital of Baghdad and the government of Basra for export. The revealed preference survey was used for 277 goods transport data collected with the help of personal interviews, questionnaires, and government institutions. The collected data were processed using two statistical approaches: binary logistic regression and Firth logistic regression. The study’s findings assist decision-makers in selecting sustainable modes of transport.