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A Business Intelligence Instrument for Detection and Mitigation of Risks Related to Projects Financed from Structural Funds

Author

Listed:
  • Marcel Ioan BOLOS

    (University of Oradea)

  • Diana Claudia SABĂU-POPA

    (The Bucharest Academy of Economic Studies)

  • Emil SCARLAT

    (The Bucharest Academy of Economic Studies)

  • Ioana-Alexandra BRADEA

    (The Bucharest Academy of Economic Studies)

  • Camelia DELCEA,

    (The Bucharest Academy of Economic Studies)

Abstract

The Structural Funds, in order to produce the intended effects, must use their specific management tools, for achieving the strategic objectives, outcome indicators and elements of added value set by each EU member state. The project portfolios must be managed properly. If risks of a project become contagious for other projects, we are witnessing a phenomenon that can compromise the chance that a program financed by Structural Funds to be well carried out. In this paper it is introduced an algorithm to reduce the project implementation risk and an IT interface is designed to serve as a control system, for the permanent measurement and monitoring of the risk indicators, in order to facilitate decision-making and prediction.

Suggested Citation

  • 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.
    • Handle: RePEc:cys:ecocyb:v:50:y:2016:i:2:p:165-178
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    References listed on IDEAS

    as
    1. 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.
    2. Adriana AnaMaria Davidescu & Andreea Maria Vass Paul & Rodica-Manuela Gogonea & Marian Zaharia, 2015. "Evaluating Romanian Eco-Innovation Performances in European Context," Sustainability, MDPI, vol. 7(9), pages 1-35, September.
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    More about this item

    Keywords

    IT interface; dashboard; portfolio risk management; implementation risk; structural funds.;
    All these keywords.

    JEL classification:

    • C30 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - General
    • G17 - Financial Economics - - General Financial Markets - - - Financial Forecasting and Simulation
    • O22 - Economic Development, Innovation, Technological Change, and Growth - - Development Planning and Policy - - - Project Analysis

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