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Choosing project risk management techniques. A theoretical framework

Author

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  • Anna Corinna Cagliano
  • Sabrina Grimaldi
  • Carlo Rafele

Abstract

The pressure for increasing quality while reducing time and costs places particular emphasis on managing risk in projects. To this end, several models and techniques have been developed in literature and applied in practice, so that there is a strong need for clarifying when and how each of them should be used. At the same time, knowledge about risk management is becoming a matter of paramount importance to effectively deal with the complexity of projects. However, communication and knowledge creation are not easy tasks, especially when dealing with uncertainty, because decision-making is often fragmented and a comprehensive perspective on the goals, opportunities and threats of a project is missing. With the purpose of providing guidelines for the selection of risk techniques taking into account the most relevant aspects characterising the managerial and operational scenario of a project, a theoretical framework to classify these techniques is proposed. Based on a literature review of the criteria to categorise risk techniques, three dimensions are defined: the phase of the risk management process, the phase of the project life cycle and the corporate maturity towards risk. The taxonomy is then applied to a wide selection of risk techniques according to their documented applications. This work helps to integrate the risk management and the knowledge management processes. Future research efforts will be directed towards refining the framework and testing it in multiple industries.

Suggested Citation

  • Anna Corinna Cagliano & Sabrina Grimaldi & Carlo Rafele, 2015. "Choosing project risk management techniques. A theoretical framework," Journal of Risk Research, Taylor & Francis Journals, vol. 18(2), pages 232-248, February.
  • Handle: RePEc:taf:jriskr:v:18:y:2015:i:2:p:232-248
    DOI: 10.1080/13669877.2014.896398
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    Cited by:

    1. Singh, Shikha & Chandra Misra, Subhas & Kumar, Sameer, 2020. "Identification and ranking of the risk factors involved in PLM implementation," International Journal of Production Economics, Elsevier, vol. 222(C).
    2. David Curto & Fernando Acebes & Jose M Gonzalez-Varona & David Poza, 2024. "Impact of aleatoric, stochastic and epistemic uncertainties on project cost contingency reserves," Papers 2406.03500, arXiv.org.
    3. Marcel Ioan BOLOS & Diana Claudia SABĂU-POPA & Emil SCARLAT & Ioana-Alexandra BRADEA & Camelia DELCEA,, 2016. "A Business Intelligence Instrument for Detection and Mitigation of Risks Related to Projects Financed from Structural Funds," ECONOMIC COMPUTATION AND ECONOMIC CYBERNETICS STUDIES AND RESEARCH, Faculty of Economic Cybernetics, Statistics and Informatics, vol. 50(2), pages 165-178.
    4. Juhasz, Peter & Varadi, Kata & Vidovics-Dancs, Agnes & Szaz, Janos, 2017. "Measuring Path Dependency," UTMS Journal of Economics, University of Tourism and Management, Skopje, Macedonia, vol. 8(1), pages 29-37.
    5. Marko M. Mihić & Zorica A. Dodevska & Marija Lj. Todorović & Vladimir Lj. Obradović & Dejan Č. Petrović, 2018. "Reducing Risks in Energy Innovation Projects: Complexity Theory Perspective," Sustainability, MDPI, vol. 10(9), pages 1-24, August.
    6. Raffaele Testorelli & Chiara Verbano, 2022. "An Empirical Framework to Sustain Value Generation with Project Risk Management: A Case Study in the IT Consulting Sector," Sustainability, MDPI, vol. 14(19), pages 1-17, September.
    7. Curto, D. & Acebes, F. & González-Varona, J.M. & Poza, D., 2022. "Impact of aleatoric, stochastic and epistemic uncertainties on project cost contingency reserves," International Journal of Production Economics, Elsevier, vol. 253(C).
    8. Dengsheng Wu & Xiaoqian Zhu & Jie Wan & Chunbing Bao & Jianping Li, 2019. "A Multiobjective Optimization Approach for Selecting Risk Response Strategies of Software Project: From the Perspective of Risk Correlations," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 18(01), pages 339-364, January.
    9. Maria Rosa Trovato & Vittoria Ventura & Monia Lanzafame & Salvatore Giuffrida & Ludovica Nasca, 2024. "Seismic–Energy Retrofit as Information-Value: Axiological Programming for the Ecological Transition," Sustainability, MDPI, vol. 16(6), pages 1-37, March.
    10. Obinna Collins Nnamani, 2018. "Application of Quantitative Risk Analysis in Property Development Projects in Nigeria: A Review," ERES eres2018_8, European Real Estate Society (ERES).

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