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Sustainability of Business through Project Risk Identification with Use of Expert Estimates

Author

Listed:
  • Katarina Buganova

    (Department of Crisis Management, Faculty of Security Engineering, University of Žilina, 010 26 Žilina, Slovakia)

  • Maria Luskova

    (Department of Technical Sciences and Informatics, Faculty of Security Engineering, University of Žilina, 010 26 Žilina, Slovakia)

  • Jozef Kubas

    (Department of Crisis Management, Faculty of Security Engineering, University of Žilina, 010 26 Žilina, Slovakia)

  • Michal Brutovsky

    (Department of Crisis Management, Faculty of Security Engineering, University of Žilina, 010 26 Žilina, Slovakia)

  • Jaroslav Slepecky

    (Department of Legal Sciences and Security Studies, The College of European and Regional Studies, 370 01 České Budějovice, Czech Republic)

Abstract

Projects are a tool that enables enterprises to implement innovation and development activities and achieve the goals in the set time, costs and required quality but they also bring risks that need to be adequately identified, analyzed and assessed. Important tools that can be used in project management in the process of risk identification are expert estimates. However, little attention is paid to determining the accuracy of expert estimates. To verify the accuracy of expert estimates, an analysis of all completed projects for a certain period of enterprise that implemented them was performed. The purpose of the study was to determine the accuracy of expert estimates in the enterprise implementing projects. This was ascertained by analyzing all available completed projects and by Barnard’s test at the significance level of α = 0.05. The Phi coefficient of association was used to determine its extent. In the paper, we pointed out how inappropriate expert estimates affect the completion of the project within the specified period.

Suggested Citation

  • Katarina Buganova & Maria Luskova & Jozef Kubas & Michal Brutovsky & Jaroslav Slepecky, 2021. "Sustainability of Business through Project Risk Identification with Use of Expert Estimates," Sustainability, MDPI, vol. 13(11), pages 1-17, June.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:11:p:6311-:d:567707
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    References listed on IDEAS

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    1. Alfonso Carfora & Giuseppe Scandurra & Antonio Thomas, 2021. "Determinants of environmental innovations supporting small‐ and medium‐sized enterprises sustainable development," Business Strategy and the Environment, Wiley Blackwell, vol. 30(5), pages 2621-2636, July.
    2. Asadabadi, Mehdi Rajabi & Zwikael, Ofer, 2021. "Integrating risk into estimations of project activities' time and cost: A stratified approach," European Journal of Operational Research, Elsevier, vol. 291(2), pages 482-490.
    3. Thordur Vikingur Fridgeirsson & Helgi Thor Ingason & Haukur Ingi Jonasson & Bara Hlin Kristjansdottir, 2021. "The VUCAlity of Projects: A New Approach to Assess a Project Risk in a Complex World," Sustainability, MDPI, vol. 13(7), pages 1-13, March.
    4. Noha Mahmoud & Allan Leck Jensen & Cairistiona F. E. Topp & Claus Aage Grøn Sørensen & Michael Nørremark & Vera Eory & Nicholas J. Hutchings, 2021. "A Method to Quantify the Detailed Risk of Serious Injury in Agricultural Production," Sustainability, MDPI, vol. 13(7), pages 1-16, March.
    5. Marco Nunes & António Abreu, 2020. "Managing Open Innovation Project Risks Based on a Social Network Analysis Perspective," Sustainability, MDPI, vol. 12(8), pages 1-31, April.
    6. Maria Polorecka & Jozef Kubas & Pavel Danihelka & Katarina Petrlova & Katarina Repkova Stofkova & Katarina Buganova, 2021. "Use of Software on Modeling Hazardous Substance Release as a Support Tool for Crisis Management," Sustainability, MDPI, vol. 13(1), pages 1-15, January.
    7. Alzbeta Kucharcikova & Martin Miciak & Eva Malichova & Maria Durisova & Emese Tokarcikova, 2019. "The Motivation of Students at Universities as a Prerequisite of the Education’s Sustainability within the Business Value Generation Context," Sustainability, MDPI, vol. 11(20), pages 1-25, October.
    8. André Palma & Nathalie Picard & Laetitia Andrieu, 2012. "Risk in Transport Investments," Networks and Spatial Economics, Springer, vol. 12(2), pages 187-204, June.
    9. John Quigley & Abigail Colson & Willy Aspinall & Roger M. Cooke, 2018. "Elicitation in the Classical Model," International Series in Operations Research & Management Science, in: Luis C. Dias & Alec Morton & John Quigley (ed.), Elicitation, chapter 0, pages 15-36, Springer.
    10. Evgeniy Lopatin, 2019. "Methodological Approaches to Research Resource Saving Industrial Enterprises," International Journal of Energy Economics and Policy, Econjournals, vol. 9(4), pages 181-187.
    11. Nguyen, Phong Thanh & Phu Pham, Cuong & Thanh Phan, Phuong & Bich Vu, Ngoc & Tien Ha Duong, My & Le Hoang Thuy To Nguyen, Quyen, 2020. "Exploring Critical Risk Factors of Office Building Projects," MPRA Paper 109901, University Library of Munich, Germany, revised 30 Dec 2020.
    12. Tetiana Zholonko & Olesia Grebinchuk & Maryna Bielikova & Yurii Kulynych & Olena Oviechkina, 2021. "Methodological Tools for Investment Risk Assessment for the Companies of Real Economy Sector," JRFM, MDPI, vol. 14(2), pages 1-10, February.
    13. Antonio Nesticò & Shuquan He & Gianluigi De Mare & Renato Benintendi & Gabriella Maselli, 2018. "The ALARP Principle in the Cost-Benefit Analysis for the Acceptability of Investment Risk," Sustainability, MDPI, vol. 10(12), pages 1-22, December.
    14. Jesko Schulte & Carolina Villamil & Sophie I. Hallstedt, 2020. "Strategic Sustainability Risk Management in Product Development Companies: Key Aspects and Conceptual Approach," Sustainability, MDPI, vol. 12(24), pages 1-20, December.
    15. Aven, Terje, 2013. "Practical implications of the new risk perspectives," Reliability Engineering and System Safety, Elsevier, vol. 115(C), pages 136-145.
    16. Naomi C. Brownstein & Thomas A. Louis & Anthony O’Hagan & Jane Pendergast, 2019. "The Role of Expert Judgment in Statistical Inference and Evidence-Based Decision-Making," The American Statistician, Taylor & Francis Journals, vol. 73(S1), pages 56-68, March.
    17. Abigail R Colson & Roger M Cooke, 2018. "Expert Elicitation: Using the Classical Model to Validate Experts’ Judgments," Review of Environmental Economics and Policy, Association of Environmental and Resource Economists, vol. 12(1), pages 113-132.
    18. Martin Folch-Calvo & Francisco Brocal-Fernández & Cristina González-Gaya & Miguel A. Sebastián, 2020. "Analysis and Characterization of Risk Methodologies Applied to Industrial Parks," Sustainability, MDPI, vol. 12(18), pages 1-35, September.
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