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Project Risk Assessment in Enterprises with the Use of TOPSIS Method in the 2014–2020 Perspective(Zarzadzanie ryzykiem projektu w przedsiebiorstwie w ramach perspektywy 2014–2020 z wykorzystaniem metody TOPSIS)

Author

Listed:
  • Ludmila Walaszczyk

    (The Institute for Sustainable Technologies – National Research Institute.)

Abstract

Nowadays the homogeneous market with 500 billion consumers, 220 billion employees and 20 billion employers is the main instrument enabling the development of competitive and innovative Europe.One of the ways for companies to design innovative products is to participate in the execution of different projects. Each country offers many initiatives, mainly financed by the European Union (it is currently the 2014–2020 perspective). Thanks to participation in them, employers have the possibility to improve their business and develop products they need. In order to achieve a product of a good quality, it must be managed correctly. There are a lot of methods which can be used in the project management process; however, the chosen methods should be clear and give proper results. One of the crucial aspects of the evaluation process is risk assessment as it enables one to find any abnormalities in the project. Employers do not use any specialised tools enabling them to evaluate the risk during the project development. That is why many companies make products that are very difficult to sell on the market or even to use due to many defects. The risk can be evaluated with different methods, both qualitative and quantitative. The main objective of the article is to present the values for the company when using the semi-quantitative TOPSIS method (Hwang and Yoon, 1981) to measure risk in the projects executed in the 2014–2020 perspective. Therefore, the author indicates the advantages of TOPSIS method and presents how it can be used in practice.

Suggested Citation

  • Ludmila Walaszczyk, 2016. "Project Risk Assessment in Enterprises with the Use of TOPSIS Method in the 2014–2020 Perspective(Zarzadzanie ryzykiem projektu w przedsiebiorstwie w ramach perspektywy 2014–2020 z wykorzystaniem meto," Research Reports, University of Warsaw, Faculty of Management, vol. 2(21), pages 71-79.
    • Handle: RePEc:sgm:resrep:v:2:i:21:y:2016:p:71-79
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    File URL: http://www.sim.wz.uw.edu.pl/sites/default/files/artykuly/walszczyk.pdf
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    References listed on IDEAS

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    1. Corrente, Salvatore & Greco, Salvatore & Słowiński, Roman, 2013. "Multiple Criteria Hierarchy Process with ELECTRE and PROMETHEE," Omega, Elsevier, vol. 41(5), pages 820-846.
    2. Govindan, Kannan & Jepsen, Martin Brandt, 2016. "ELECTRE: A comprehensive literature review on methodologies and applications," European Journal of Operational Research, Elsevier, vol. 250(1), pages 1-29.
    3. Juselius, Katarina, 2006. "The Cointegrated VAR Model: Methodology and Applications," OUP Catalogue, Oxford University Press, number 9780199285679.
    4. Saaty, Thomas L., 1994. "Highlights and critical points in the theory and application of the Analytic Hierarchy Process," European Journal of Operational Research, Elsevier, vol. 74(3), pages 426-447, May.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    TOPSIS method; risk assessment; the 2014–2020 perspective; project management.;
    All these keywords.

    JEL classification:

    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
    • O2 - Economic Development, Innovation, Technological Change, and Growth - - Development Planning and Policy

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