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Risk Approach—Risk Hierarchy or Construction Investment Risks in the Light of Interim Empiric Primary Research Conclusions

Author

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  • Tibor Pál Szemere

    (Keleti Károly Faculty of Business and Management, Óbuda University, 1034 Budapest, Hungary)

  • Mónika Garai-Fodor

    (Keleti Károly Faculty of Business and Management, Óbuda University, 1034 Budapest, Hungary)

  • Ágnes Csiszárik-Kocsir

    (Keleti Károly Faculty of Business and Management, Óbuda University, 1034 Budapest, Hungary)

Abstract

The focus of this study is to examine the investment project process. Since investment can also be considered as economic interactions, certain risks are associated with their implementation. Risk factors were given a particular priority during the secondary and primary research, while determining the most relevant risk factors of investment project processes in relation to the B2B market. The risk map for investment project processes was created in line with the relevant secondary sources, qualitative and quantitative primary results. This is topical because the importance of investments is unquestionable in a market economy. Therefore, a comprehensive risk assessment might provide results that are useful for both supply and demand side actors in B2B market relations. Based on the results of the primary study, the perceived risks of the project process were defined, and they were structured into a risk hierarchy system. Based on the qualitative results, we performed a quantitative study. Based on the responses of the sample subjects, we determined the perceived risk factors, and on the basis of them, we segmented the service provider (contractor) market. The main socio-demographic characteristics of each segment were also explored in the framework of the research.

Suggested Citation

  • Tibor Pál Szemere & Mónika Garai-Fodor & Ágnes Csiszárik-Kocsir, 2021. "Risk Approach—Risk Hierarchy or Construction Investment Risks in the Light of Interim Empiric Primary Research Conclusions," Risks, MDPI, vol. 9(5), pages 1-17, May.
    • Handle: RePEc:gam:jrisks:v:9:y:2021:i:5:p:84-:d:547822
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    References listed on IDEAS

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    1. Maria Kovacova & Tomas Kliestik & Katarina Valaskova & Pavol Durana & Zuzana Juhaszova, 2019. "Systematic review of variables applied in bankruptcy prediction models of Visegrad group countries," Oeconomia Copernicana, Institute of Economic Research, vol. 10(4), pages 743-772, December.
    2. Katarina Valaskova & Tomas Kliestik & Maria Kovacova, 2018. "Management of financial risks in Slovak enterprises using regression analysis," Oeconomia Copernicana, Institute of Economic Research, vol. 9(1), pages 105-121, March.
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