IDEAS home Printed from https://ideas.repec.org/a/gam/jrisks/v9y2021i5p84-d547822.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2227-9091/9/5/84/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2227-9091/9/5/84/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. 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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Rafael Becerra-Vicario & David Alaminos & Eva Aranda & Manuel A. Fernández-Gámez, 2020. "Deep Recurrent Convolutional Neural Network for Bankruptcy Prediction: A Case of the Restaurant Industry," Sustainability, MDPI, vol. 12(12), pages 1-15, June.
    2. Leonardo Badea & Daniel Ştefan Armeanu & Dan Costin Nițescu & Valentin Murgu & Iulian Panait & Boris Kuzman, 2020. "A Study of the Relative Stock Market Performance of Companies Recognized for Supporting Gender Equality Policies and Practices," Sustainability, MDPI, vol. 12(9), pages 1-20, April.
    3. Shengkun Xie, 2021. "Improving Explainability of Major Risk Factors in Artificial Neural Networks for Auto Insurance Rate Regulation," Risks, MDPI, vol. 9(7), pages 1-21, July.
    4. Adriana Csikosova & Maria Janoskova & Katarina Culkova, 2020. "Application of Discriminant Analysis for Avoiding the Risk of Quarry Operation Failure," JRFM, MDPI, vol. 13(10), pages 1-14, September.
    5. Vira Hovorukha & Olesia Havryliuk & Galina Gladka & Oleksandr Tashyrev & Antonina Kalinichenko & Monika Sporek & Agnieszka Dołhańczuk-Śródka, 2021. "Hydrogen Dark Fermentation for Degradation of Solid and Liquid Food Waste," Energies, MDPI, vol. 14(7), pages 1-12, March.
    6. Jaroslaw Kaczmarek & Sergio Luis Nanez Alonso & Andrzej Sokolowski & Kamil Fijorek & Sabina Denkowska, 2021. "Financial threat profiles of industrial enterprises in Poland," Oeconomia Copernicana, Institute of Economic Research, vol. 12(2), pages 463-498, June.
    7. Youssef Zizi & Mohamed Oudgou & Abdeslam El Moudden, 2020. "Determinants and Predictors of SMEs’ Financial Failure: A Logistic Regression Approach," Risks, MDPI, vol. 8(4), pages 1-21, October.
    8. Chen, Xun-Qi & Ma, Chao-Qun & Ren, Yi-Shuai & Lei, Yu-Tian & Huynh, Ngoc Quang Anh & Narayan, Seema, 2023. "Explainable artificial intelligence in finance: A bibliometric review," Finance Research Letters, Elsevier, vol. 56(C).
    9. Mihai Andronie & George Lăzăroiu & Roxana Ștefănescu & Cristian Uță & Irina Dijmărescu, 2021. "Sustainable, Smart, and Sensing Technologies for Cyber-Physical Manufacturing Systems: A Systematic Literature Review," Sustainability, MDPI, vol. 13(10), pages 1-23, May.
    10. Andriy Stavytskyy & Ganna Kharlamova & Olena Komendant & Jarosław Andrzejczak & Joanna Nakonieczny, 2021. "Methodology for Calculating the Energy Security Index of the State: Taking into Account Modern Megatrends," Energies, MDPI, vol. 14(12), pages 1-19, June.
    11. Muhammad Atif Khan & Muhammad Asif Khan & Kishwar Ali & József Popp & Judit Oláh, 2020. "Natural Resource Rent and Finance: The Moderation Role of Institutions," Sustainability, MDPI, vol. 12(9), pages 1-23, May.
    12. Elena Gregova & Katarina Valaskova & Peter Adamko & Milos Tumpach & Jaroslav Jaros, 2020. "Predicting Financial Distress of Slovak Enterprises: Comparison of Selected Traditional and Learning Algorithms Methods," Sustainability, MDPI, vol. 12(10), pages 1-17, May.
    13. Veronika MACHOVA & Jakub HORAK, 2019. "Gdp As A Risk Factor Of Czech Enterprises," Proceedings of the INTERNATIONAL MANAGEMENT CONFERENCE, Faculty of Management, Academy of Economic Studies, Bucharest, Romania, vol. 13(1), pages 785-798, November.
    14. Krzysztof Dmytrów & Joanna Landmesser & Beata Bieszk-Stolorz, 2021. "The Connections between COVID-19 and the Energy Commodities Prices: Evidence through the Dynamic Time Warping Method," Energies, MDPI, vol. 14(13), pages 1-23, July.
    15. Zuzana ROWLAND & Petr SULER, 2019. "Quality Culture: A Tool Of Financial Management To Reduce Risk," Proceedings of the INTERNATIONAL MANAGEMENT CONFERENCE, Faculty of Management, Academy of Economic Studies, Bucharest, Romania, vol. 13(1), pages 730-737, November.
    16. Roman Blazek & Pavol Durana & Jakub Michulek & Kristina Blazekova, 2023. "Does the Size of the Business Still Matter, or Is Profitability under New Management, by Order of the COVID-19?," JRFM, MDPI, vol. 16(4), pages 1-28, March.
    17. Michal Pavlicko & Jaroslav Mazanec, 2022. "Minimalistic Logit Model as an Effective Tool for Predicting the Risk of Financial Distress in the Visegrad Group," Mathematics, MDPI, vol. 10(8), pages 1-22, April.
    18. Muhammad Asif Khan & Hossam Haddad & Mahmoud Odeh & Ahsanuddin Haider & Mohammed Arshad Khan, 2022. "Institutions, Culture, or Interaction: What Determines the Financial Market Development in Emerging Markets?," Sustainability, MDPI, vol. 14(23), pages 1-23, November.
    19. Abraham Puente De La Vega Caceres, 2024. "Drivers of Value Creation and the Effect of ESG Risk Rating on Investor Perceptions through Financial Metrics," Sustainability, MDPI, vol. 16(13), pages 1-21, June.
    20. Gintare Giriūniene & Lukas Giriūnas & Mangirdas Morkunas & Laura Brucaite, 2019. "A Comparison on Leading Methodologies for Bankruptcy Prediction: The Case of the Construction Sector in Lithuania," Economies, MDPI, vol. 7(3), pages 1-20, August.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jrisks:v:9:y:2021:i:5:p:84-:d:547822. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.