Etiology of the notion of event in terms of decision-making and determination of organizational system risk conditions

  • Nenad Komazec University of defence in Belgrade, Military academy, Belgrade, Serbia
  • Milica Mladenović S4 GloSec Global Security, Belgrade, Serbia
  • Slavica Dabižljević Regional Security and Crisis Management Asociation, Belgrade, Serbia
Keywords: Organizational System, Decision-making, Risk, Event, Hazard

Abstract

The problem of functioning of organizational systems in a dynamic environment implies permanent influences from the environment. The tendency of these influences, since these are in connection with the functioning of other systems in terms of meeting their needs, is the creation of entropy of organizational systems. The causes of the impact are found in various occurrences in the environment, which are most often of a situational character. An impact can be made by one phenomenon, two or more. The interaction between phenomena usually contributes to an increase of the impact by intensity, time and number of exposed protected values. Management of an organizational system in such conditions depends on risk management quality, that is, on the quality of decision-making process in terms of risk. By understanding, identifying and responding to such events, it is possible to determine the risk to organizational systems elements and to make a decision on future actions. The problems of identifying optimal solution, that is, optimization tasks, are met and analyzed in all phases of an organizational system existence. The process of decision-making and the choice of the "best" alternative is mostly based on more than one criterion and various limits. This paper presents an approach to the analysis of elements of organizational system environment, which generate events that influence on the behavior of organizational systems. Deciding quality depends on the quality and availability of information about events in organizational system environment, which can be determined through different multi-criteria decision-making models. The result of the research is a qualitatively new definition of the notions of event and the extraordinary event viewed through the risk function as immanent characteristic of all events in the environment.).

Downloads

Download data is not yet available.

References

Adigees, I. (2004). Company Life Cycle Management, Adigees, Novi Sad. (in Serbian)

Alexander, C. (1996). The Handbook of Risk Management and Analysis, John and Wiley & Sons Inc, Canada.

Beck, U. (2011). World Risk Society, Academic Book, Novi Sad. (in Serbian)

Benson, M. (1981). Serbian-English dictionary, Prosveta, Belgrade.

Bertalanfy, L. (1968). General System Theory (Foundations, Development, Applications), Penguin Books, London. p. 8.

Božanić, D., Pamučar, D., & Karović S. (2016). Use of the fuzzy AHP - MABAC hybrid model in ranking potential locations for preparing laying-up positions. Military technical courier, 64 (3), pp.705-729.

Bozanic, D., Pamucar, D., & Komazec, N. (2016). Application of the Fuzzy AHP Method in Risk Assessment in the selection of Navigation Vehicles Directions of Serbian Army in flooded Areas, 2. Naučno stručna međunarodna konferencija, bezbednost i krizni menadžment-teorija i praksa, Obrenovac, pp. 39-46.

Brauers, W. K. M. (2008). Multiobjective contractor’s ranking by applying the MOORA method. Journal of Business Economics and Management, 4, pp. 245–255.

Brauers, W. K. M., & Zavadskas, E. K. (2006). The MOORA method and its application to privatization in a transition economy. Control and Cybernetics, Systems Research Institute of the Polish Academy of Sciences, 35(2), pp. 445–469.

Bukov, A.A., & Porfirijev B.N. (2005). On risk Concepts. Issues of risk analysis, 3(4), pp. 103-110.

Daft, R. L. (2004). Organization Theory and Design, Thomson Learning.

Dictionary of Serbo-Croatian literary language. (1967). Matica Srpska, Matica Croatia, Novi Sad, Zagreb.

Dictionary of the Croatian or Serbian language. (1903). Yugoslav Academy of Sciences and Arts, Zagreb.

Gigović, Lj., Pamučar, D., Bajić, Z., & Drobnjak, S. (2017). Application of GIS-Interval Rough AHP Methodology for Flood Hazard Mapping in Urban Areas. Water, 6(6), article no. 360, pp. 1-26.

Gigović, Lj., Pamučar, D., Bajić, Z., & Milićević, M. (2016). The combination of expert judgment and GIS-MAIRCA analysis for the selection of sites for ammunition depot. Sustainability, 8(4), article no. 372, pp. 1-30.
ISO Guide 73:2009 Risk Management-Vocabulary.

Kaklauskas, A., Zavadskas, E.K., Raslanas, S., Ginevicius, R., Komka, A., & Malinauskas, P. (2006). Selection of Low-e tribute in retrofit of public buildings by applying multiple criteria method COPRAS: A Lithuanian case. Energy and buildings, 38, pp. 454-462.

Kalibatas, D., & Turskis, Z. (2008). Multicriteria evaluation of inner climate by using MOORA method. Information technology and control, 37(1), pp. 79-83.

Karović, S., & Komazec, N. (2015). Modeli kriznog ponašanja u vanrednim situacijama, 1. Naučno stručna međunarodna konferencija, bezbednost i krizni menadžment-teorija i praksa, Beograd, pp. 244-251.

Kljajic, M. (1994). System theory, Modern organization, Kranj, pp. 11. (in Serbian)

Komazec, N. (2017). Risk management in the prevention of emergency events in military organizational systems, doctoral dissertation, University of Defense, Military Academy, Belgrade. (in Serbian)

Komazec, N., Babic, B., & Soskic, S. (2015). Prevention of stress in emergency situations using risk assessment, international conference management and security, Rijeka, ESSE, pp. 239-250. (in Serbian)

Komazec, N., Bozanic, D., & Pamucar, D. (2014). Aspects of Decision-making in Emergency Situations, ICT Forum Nis, pp. 55-59.

Komazec, N., Randjelovic, A., Pavlovic, S., & Mladenovic, M. (2016). Preventive Attributes of the Risk Assessment Process in Emergencies, International Risk Consulting and Security Engineering, Kopaonik, pp. 1-8 (in Serbian)

Komazec, N., Soskic, S., & Karapetrovic, Lj. (2016). Civil Defense and Protection in the Crisis Management System, 2. Scientific Professional International Conference, Security and Crisis Management-Theory and Practice, Obrenovac, pp. 23-29. (in Serbian)

Law lexicon. (1964). Contemporary Administration, Belgrade.

Little encyclopedia. (1978). General Encyclopedia, Prosveta, Belgrade.

Louis, A.C. (2009). Risk Analysis of Complex and Uncertain Systems, Springer, Denver.

Mladjan, D. (2014). Security in Emergency Situations, KPA, Belgrade, pp. 47-48.

Mucibabic, S. (1995). Emergancy events - the causes of the occurrence and prevention, Novi glasnik, Beograd, pp. 79-85.

Mukhametzyanov, I. Z., & Meshalkin, V. P. (2014). Simulation Multiagent Fuzzy Logic Model for Industrial Companies Marketing Decision Making under Uncertainty. Journal of Applied Informatics (in Russian), 3(51), pp. 100-109.
New Larousse Encyclopedia. (1999). Publikum, Beograd.

Nocera, J. (2009). Risk Management, New York Times, New York.

Opricović, S., & Tzeng, G.H. (2004). Compromise solution by MCDM methods: A comparative analysis of VIKOR and TOPSIS. European Journal of Operational Research, 156 (2), pp. 445-455.

Pamučar, D., & Ćirović G. (2015). The selection of transport and handling resources in logistics centers using Multi Attributive Border Approximation area Comparison. Expert Systems with Applications, 42(6), pp. 3016-3028.

Pamučar, D., Božanić, A., & Ranđelović. (2017a). Multi-Criteria Decision Making: an Example of Sensitivity Analysis. Serbian journal of management, 12 (1), pp. 1 – 27.

Pamučar, D., Božanić, D., & Kurtov, D. (2016). Fuzzification of the Saaty’s scale and a presentation of the hybrid fuzzy AHP-TOPSIS model: an example of the selection of a brigade artillery group firing position in a defensive operation. Military technical courier, 64 (4), pp. 966-986.

Pamučar, D., Mihajlović, M., Obradović, R., & Atanasković, P. (2017b). Novel approach to group multi-criteria decision making based on interval rough numbers: Hybrid DEMATEL-ANP-MAIRCA model. Expert Systems with Applications, 88, pp. 58-80.

Pamučar, D., Petrović, I., & Ćirović, G. (2018). Modification of the Best-Worst and MABAC methods: A novel approach based on interval-valued fuzzy-rough numbers. Expert Systems with Applications, 91, pp. 89-106.

Pavlicic, D. (2010). Decision making theory, 3. Amended and revised edition, Center for Publishing, Faculty of Economics, Belgrade.

Smith, K. (2013). Environmental Hazards: Assessing Risk and Reducing Disaster, London: Routledge, pp. 14-22.

Standard SRPS A.L2.003: 2017 Security and Resilience of the Society - Assessment of risks in the protection of persons, property and business, Institute for Standardization of Serbia, Belgrade.

Stevanovic, O., & Subosic, D. (2007). Attachment to the theory of organizational systems, pp. 287-300

Stević, Ž., Pamučar D, Zavadskas, E.K., Ćirović, G., & Prentkovskis, O. (2017). The selection of wagons for the internal transport of a logistics company: A novel approach based on rough BWM and rough SAW methods. Symmetry, 9(11), 264, pp. 1-25.

Thywissen, K., (2006). Components of Risk: A Comparative Glossary, Bonn, United Nations University, pp. 29-36.

UN International Strategy for Disaster reduction. (2009). www.uisdr.org.

Ustinovichius, L., Zavadskas, E. K., & Podvezko, V. (2007). Application of a quantitative multiple criteria decision making (MCDM) approach to the analysis of investments in construction. Control and Cybernetics, 36(1), pp. 251–268.

Viteikiene, M., & Zavadskas, E. K. (2007). Evaluating the sustainability of Vilnius city residential areas. Journal of civil engineering and management, 13(2), pp. 149-155.

Шойгу, С.К., Фалеев, М.И., & Кирилов, Г.Н. (2004). Учeбник спaсaтeљa. Издaтeљствo: Сoв Кубањ.
Published
2018-03-15
How to Cite
Komazec, N., Mladenović, M., & Dabižljević, S. (2018). Etiology of the notion of event in terms of decision-making and determination of organizational system risk conditions. Decision Making: Applications in Management and Engineering, 1(1), 165-184. Retrieved from http://www.dmame.org/index.php/dmame/article/view/6