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

Bakanauskienė, Irena; Baronienė, Laura

doi:10.1515/mosr-2017-0012

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.

References

1. Bachkirov, A. A. (2015). Managerial Decision Making Under Specific Emotions // Journal of Management Psychology. Vol. 30, No 7, pp. 861–874. doi: 10.1108/JMP-02-2013-0071.10.1108/JMP-02-2013-0071
Open DOI Search in Google Scholar Back to article
2. Bähr, C. (2008). How does Sub-National Autonomy Affect the Effectiveness of Structural Funds? // KYKLOS. Vol. 61, No. 1, pp. 3–18. doi: 10.1111/j.1467-6435.2008.00389.x.10.1111/j.1467-6435.2008.00389.x
Open DOI Search in Google Scholar Back to article
3. Barry, M. J., Edgman-Levitan, S. (2012). Shared Decision Making-Pinnacle of Patient-Centered Care // Medical Journal. Vol. 366, pp. 780–781. doi: 10.1056/NEJMp1109283.10.1056/NEJMp1109283
Open DOI Search in Google Scholar Back to article
4. Blenko, M. W., Mankins, M. C., Rogers, P. (2010). Spotlight on Strategies for a Changing World: The Decision-Driven Organization // Harvard Business Review. No. 88(6), pp. 54–62. doi: 10.1162/152417302762251291.10.1162/152417302762251291
Open DOI Search in Google Scholar Back to article
5. Bloom, N. (2014). Fluctuations in Uncertainty // Journal of Economic Perspectives. Vol. 28, No. 2, pp. 153–176. doi: 10.1257/jep.28.2.153.10.1257/jep.28.2.153
Open DOI Search in Google Scholar Back to article
6. Catalani, M. S., Clerico, G. F. (2012). Decision Making Structures: Dealing with Uncertainty within Organizations. - Springer Science & Business Media, p. 167.
Search in Google Scholar Back to article
7. Darškuvienė, V., Bendoraitienė, E. (2014). Stakeholder Expectations and Influence on Company Decisions // Taikomoji ekonomika: sisteminiai tyrimai = Applied economics: systematic research. T. 8, Nr. 2, pp. 83–96. doi: 10.7220/AESR.2335.8742.2014.8.2.5.10.7220/AESR.2335.8742.2014.8.2.5
Open DOI Search in Google Scholar Back to article
8. De Neufville, R. (2003). Real Options: Dealing with Uncertainty in Systems Planning and Design // Integrated Assessment. Vol. 4, No. 1, pp. 26–34. doi: 10.1076/iaij.4.1.26.16461.10.1076/iaij.4.1.26.16461
Search in Google Scholar Back to article
9. Dimoka, A., Hong, Y., Pavlou, P. A. (2012). On Product Uncertainty in Online Markets: Theory and Evidence // Quarterly journal. No. 36.10.2307/41703461
Search in Google Scholar Back to article
10. Drucker, P. F. (2001). The Effective Decision. - Harvard Business Review on Decision Making.
Search in Google Scholar Back to article
11. Dumitrescu, D., I., Soare, D., V. (2014). Financial Engineering Instruments Financed from European Structural and Investment Funds and Financial Products issued by Financial Institutions Supporting European Project Implementation // Revista Română de Statistică-Supliment. No. 10/2014.
Search in Google Scholar Back to article
12. Durand, M.-A., Carpenter, L., Dolan, H., Bravo, P., Mann, M., Bunn, F., et al. (2014). Do Interventions Designed to Support Shared Decision-Making Reduce Health Inequalities? // A Systematic Review and Meta-Analysis. PLOS ONE. Vol. 9, No. 4, pp. 1–13. doi: 10.1371/journal.pone.0094670.10.1371/journal.pone.0094670
Open DOI Search in Google Scholar Back to article
13. Edmans, A., Manso, G. (2011). Governance through Trading and Intervention: A Theory of Multiple Blockholders // Review of Financial Studies. No. 24, pp. 2395–2428. doi: 10.1093/rfs/hhq145.10.1093/rfs/hhq145
Open DOI Search in Google Scholar Back to article
14. Fayol, H. (1949). General and Industrial Management. - New York: Pitman publishing, pp. 107–109.
Search in Google Scholar Back to article
15. French, W. L., Bell, C. H. (1999). Organizational Development: Behavioral Science Interventions for Organization Improvement. 6th edition. doi: https://trove.nla.gov.au/work/6066986.
Search in Google Scholar Back to article
16. Gigerenzer, G. (2010) Rationality for Mortals: How People Cope with Uncertainty. - Oxford University Press, p. 256. doi:10.1146/annurevpsych-120709-145346 PMID:21126183.10.1146/annurevpsych-120709-145346PMID:21126183
Open DOI Search in Google Scholar Back to article
17. Goodwin, P., Wright, G. (2010). The Limits of Forecasting Methods in Anticipating Rare Events. Technological Forecasting and Social Change. No. 77, pp. 355–368. doi: 10.1016/j.techfore.2009.10.008.10.1016/j.techfore.2009.10.008
Open DOI Search in Google Scholar Back to article
18. Govindan, K., Rajendran, S., Sarkis, J., Murugesan, P. (2015). Multi Criteria Decision Making Approaches for Green Supplier Evaluation and Selection: A Literature Review // Journal of Cleaner Production. Vol. 98, pp. 66–83. doi: 10.1016/j.jclepro.2013.06.046.10.1016/j.jclepro.2013.06.046
Open DOI Search in Google Scholar Back to article
19. Hargraves, I., Montori, V. M. (2014). Decision Aids, Empowerment, And Shared Decision Making // BMJ. Vol. 349: g5811. doi: http://dx.doi.org/10.1136/bmj.g5811.10.1136/bmj.g5811
Open DOI Search in Google Scholar Back to article
20. Hoffmann, T. C., Legare, F., Simmons, M. B., McNamara, K., McCaffery, K., Trevena, L. J., et al. (2014). Shared Decision Making: What do Clinicians Need to Know and Why Should They Bother? Medical Journal. Vol. 201, pp. 35–39. doi: 10.5694/mja14.00002.10.5694/mja14.00002
Open DOI Search in Google Scholar Back to article
21. Hoffmann, T. C., Montori, V. M., Del Mar, C. (2014). The Connection Between Evidence - Based Medicine and Shared Decision Making // JAMA. Vol. 312, pp. 1295–12956. doi: 10.1001/jama.2014.10186.10.1001/jama.2014.10186
Open DOI Search in Google Scholar Back to article
22. Johnson, R. A. (1976). Management Systems and Society: An Introduction. - Pacific Palisades, California: Goodyear publishing. pp. 148–152.
Search in Google Scholar Back to article
23. Kabak, O. (2012). Uncertainty Modelling in Supply Chain Management: The Trend in the Use of Fuzzy Set Theory. Uncertainty Modelling in Knowledge Management and Decision Making: Proceedings of the 10th international FLINS conference. pp. 541–546. doi: 10.1142/9789814417747_0087.10.1142/9789814417747_0087
Search in Google Scholar Back to article
24. Kahneman, D., Lovallo, D., Sibony, O. (2011) Before You Make That Big Decision // Harvard Business Review. No 89(6), pp. 51–60.
Search in Google Scholar Back to article
25. Kwakkel, J. H. Walker, W. E., Marchau, V, A. W. J. (2010). Classifying and Communicating Uncertainties in Model-Based Policy Analysis // International Journal of Technology, Policy and Management. Vol. 10 (4), pp. 299–315. doi: 10.1504/IJTPM.2010.036918.10.1504/IJTPM.2010.036918
Open DOI Search in Google Scholar Back to article
26. Larson, E. (2016). Faster, Better Decisions. - Harvard Business Review.
Search in Google Scholar Back to article
27. Lejarraga, T., Pachur, Th., Frey, R., Hertwig, R. (2015). Decisions from Experience: From Monetary to Medical Gambles // Journal of Behavioral Decision Making. Vol. 29, Issue 1, pp. 66–67. doi: 10.1002/bdm.1877.10.1002/bdm.1877
Open DOI Search in Google Scholar Back to article
28. Lempert, R. J., Popper, S., Bankes, S. (2003). Shaping the Next One Hundred Years: New Methods for Quantitative, Long Term Policy Analysis. Santa Monica: RAND.10.7249/MR1626
Search in Google Scholar Back to article
29. Lerner, J., Li, Y., Valdesolo, P., Kassam, K. S. (2014). Emotion and decision. Annual review of psychology. Vol. 66, pp. 799–823. doi: 10.1146/annurev-psych-010213-115043.10.1146/annurev-psych-010213-115043
Open DOI Search in Google Scholar Back to article
30. Makridakis, S., Hogarth, R. M., Gaba, A. (2009). Forecasting and Uncertainty in the Economic and Business World // International Journal of Forecasting. Vol. 25, pp. 794–812. doi: 10.1016/j.ijforecast.2009.05.012.10.1016/j.ijforecast.2009.05.012
Open DOI Search in Google Scholar Back to article
31. Marchau, V. A. W. J., Walker, W. E., Van Duin, R. (2009). An Adaptive Approach to Implementing Innovative Urban Transport Solutions // Transport Policy. No. 15, pp. 405–412. doi: 10.1016/j.tranpol.2008.12.002.10.1016/j.tranpol.2008.12.002
Open DOI Search in Google Scholar Back to article
32. Mardani, A., Jusoh, A., Zavadskas, E. K. (2015). Fuzzy Multiple Criteria Decision-Making Techniques and Applications – Two Decades Review from 1994 to 2014 // Expert Systems with Applications. Vol. 42, Issue 8, pp. 4126–4148. doi: 10.1016/j.eswa.2015.01.003.10.1016/j.eswa.2015.01.003
Open DOI Search in Google Scholar Back to article
33. Matzler, K., Uzelac, B., Bauer, F. (2014). Intuition: The Missing Ingredient for Good Managerial Decision Making // Journal of Business Strategy. Vol. 35, No. 6, pp. 31–40. doi: 10.1108/JBS-12-2012-0077.10.1108/JBS-12-2012-0077
Open DOI Search in Google Scholar Back to article
34. Mcdaniel, R. R., Driebe, D. J. (eds.) (2005). Uncertainty and Surprise in Complex Systems: Questions on Working the Unexpected. - Springer. doi: 10.1057/rm.2009.15.10.1057/rm.2009.15
Open DOI Search in Google Scholar Back to article
35. Mowles, C. (2015). Managing in Uncertainty: Complexity and the Paradoxes of Everyday Organizational Life. Routledge. p. 188.10.4324/97813157308999
Search in Google Scholar Back to article
36. Palomares, I., Martínez, L., Herrera, F. (2014). MENTOR: A graphical monitoring tool of preferences evolution in large-scale group decision making // Knowledge-Based Systems. No. 58, pp. 66–74. doi: 10.1016/j.knosys.2013.07.003.10.1016/j.knosys.2013.07.003
Open DOI Search in Google Scholar Back to article
37. Qi, J. (2009). The Threat of Shareholder Intervention and Firm Innovation. - New York Law Journal.
Search in Google Scholar Back to article
38. Saaty, L. (2013). Theory and Applications of the Analytic Network Process: Decision Making with Benefits, Opportunities, Cost and Risks. ISBN 978-1-8886031-6-3 (e-book).
Search in Google Scholar Back to article
39. Secchi, D. (2011). Extendable Rationality: Understanding Decision Making in Organizations. - Springer Science & Business Media, p. 180. doi: 10.1007/978-1-4419-7542-3.10.1007/978-1-4419-7542-3
Open DOI Search in Google Scholar Back to article
40. Stein, L. C. D., Wang, C. C. Y (2016). Economic Uncertainty and Earning Management. - Harvard Business School: Business Research for Business Leaders. HBS working paper. No. 16-103.
Search in Google Scholar Back to article
41. Swanson, D., Barg, S., Tyler S., Venema, H., Tomar, S., Bhadwal, S., Nair, S., Roy, D., Drexhage, J. (2010). Seven Tools for Creating Adaptive Policies // Technological Forecasting and Social Change. No. 77, pp. 924–939. doi: 10.1016/j.techfore.2010.04.005.10.1016/j.techfore.2010.04.005
Open DOI Search in Google Scholar Back to article
42. Van Geenhuizen, M., Reggiani, A., Rietveld, P. (2007). New Trends in Policymaking for Transport and Regional Network Integration. In: Van Geenhuizen, M., Reggiani, A. & Rietvelt, P. (eds.) Policy Analysis of Transport Networks. - Alsdershot: Ashgate.
Search in Google Scholar Back to article
43. Van Geenhuizen, N, M., Thissen, W. A. H. (2007). A Framework for Identifying and Qualifying Uncertainty in Policy Making: The Case of Intelligent Transport Systems. In: Van Geenhuizen, M., Reggiani, A. & Rietvelt, P. (eds.) Policy Analysis of Transport Networks. Aldershot: Ashgate.
Search in Google Scholar Back to article
44. Vveinhardt, J. (2012). Mobingo intervencija individo, organizacijos ir sociumo lygmenyse: kompleksinio modelio struktūra // Organizacijų vadyba: sisteminiai tyrimai = Management of Organozations: Systematic Reseach. Nr. 61, p. 129–142.
Search in Google Scholar Back to article
45. Walker, W. E., Harremoes, E., Rotmans, J., van der Sluijs, J. P., Asselt, M. B. A., Janssen, P., Krayer von Krauss, M. P. (2003). Defining Uncertainty: A Conceptual Basis for Uncertainty Management in Model-Based Decision Support. Integrated Assessment. Vol. 4, No. 1, pp. 5–17.10.1076/iaij.4.1.5.16466
Search in Google Scholar Back to article
46. Walker, W. E., Marchau, V. A. W. J., Swanson, D. (2010). Addressing Deep Uncertainty Using Adaptive Policies: Introduction to Section 2. // Technological Forecasting and Social Change. No. 77, pp. 917–923. doi: 10.1016/j.techfore.2010.04.004.10.1016/j.techfore.2010.04.004
Open DOI Search in Google Scholar Back to article
47. Wan, S. P. (2013). 2-Tuple Linguistic Hybrid Arithmetic Aggregation Operators and Application to Multi-Attribute Group Decision Making // Knowledge-Based Systems. No. 45, pp. 31–40. doi: 10.1016/j.knosys.2013.02.002.10.1016/j.knosys.2013.02.002
Open DOI Search in Google Scholar Back to article
48. Wan, S. P., Li, D. F. (2014). Atanassov’s Intuitionistic Fuzzy Programming Method for Heterogeneous Multiattribute Group Decision Making with Atanassov’s Intuitionistic Fuzzy Truth Degrees // IEEE Transactions on Fuzzy Systems. Vol. 22, Issue 2, Publisher: IEEE Press. doi: 10.1109/TFUZZ.2013.2253107.10.1109/TFUZZ.2013.2253107
Open DOI Search in Google Scholar Back to article
49. Zaleckienė, J. (2016). Ūkio diversifikavimo sprendimo priėmimas: Lietuvos atvejis // Management Theory and Studies for Rural Business and Infrastructure Development. Vol. 38. No. 2, pp. 168–177. doi: 10.15544/mts.2016.14.10.15544/mts.2016.14
Open DOI Search in Google Scholar Back to article
50. Zsambok C. E., Klein, G. (2014). Naturalistic Decision Making (book). - New York: Psychology Press. doi: 10.1518/001872008X288385.10.1518/001872008X288385
Open DOI Search in Google Scholar Back to article

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

Abstract

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