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Theoretical Background for the Decision-Making Process Modelling under Controlled Intervention Conditions

Author

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  • Bakanauskienė Irena

    (Doctor of social sciences, professor at the Faculty of Economics and Management, Vytautas Magnus University. K. Donelaičio str. 58, 44248Kaunas, Lithuania. Phone: + 370 686 07704.)

  • Baronienė Laura

    (PhD student at the Faculty of Economics and Management, Vytautas Magnus University. K. Donelaičio str. 58, 44248Kaunas, Lithuania. Phone: + 370 686 07704.)

Abstract

This article is intended to theoretically justify the decision-making process model for the cases, when active participation of investing entities in controlling the activities of an organisation and their results is noticeable. Based on scientific literature analysis, a concept of controlled conditions is formulated, and using a rational approach to the decision-making process, a model of the 11-steps decision-making process under controlled intervention is presented. Also, there have been unified conditions, describing the case of controlled interventions thus providing preconditions to ensure the adequacy of the proposed decision-making process model.

Suggested Citation

  • Bakanauskienė Irena & Baronienė Laura, 2017. "Theoretical Background for the Decision-Making Process Modelling under Controlled Intervention Conditions," Management of Organizations: Systematic Research, Sciendo, vol. 78(1), pages 7-19, December.
    • Handle: RePEc:vrs:morgsr:v:78:y:2017:i:1:p:7-19:n:1
    DOI: 10.1515/mosr-2017-0012
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    References listed on IDEAS

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    1. N. Bloom, 2016. "Fluctuations in uncertainty," Voprosy Ekonomiki, NP Voprosy Ekonomiki, issue 4.
    2. Cornelius Bähr, 2008. "How does Sub‐National Autonomy Affect the Effectiveness of Structural Funds?," Kyklos, Wiley Blackwell, vol. 61(1), pages 3-18, February.
    3. Alex Edmans & Gustavo Manso, 2011. "Governance Through Trading and Intervention: A Theory of Multiple Blockholders," The Review of Financial Studies, Society for Financial Studies, vol. 24(7), pages 2395-2428.
    4. Makridakis, Spyros & Hogarth, Robin M. & Gaba, Anil, 2009. "Forecasting and uncertainty in the economic and business world," International Journal of Forecasting, Elsevier, vol. 25(4), pages 794-812, October.
    5. Marie-Anne Durand & Lewis Carpenter & Hayley Dolan & Paulina Bravo & Mala Mann & Frances Bunn & Glyn Elwyn, 2014. "Do Interventions Designed to Support Shared Decision-Making Reduce Health Inequalities? A Systematic Review and Meta-Analysis," PLOS ONE, Public Library of Science, vol. 9(4), pages 1-13, April.
    6. Daniel Ioan DUMITRESCU & Diana Valentina SOARE, 2014. "Financial Engineering Instruments Financed from European Structural and Investment Funds and Financial Products issued by Financial Institutions supporting European Project Implementation," Romanian Statistical Review Supplement, Romanian Statistical Review, vol. 62(10), pages 16-39, Octomber.
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