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Open AccessArticle

Modelling and Enhancement of Organizational Resilience Potential in Process Industry SMEs

Faculty of Engineering, University of Kragujevac, Sestre Janjic 6, Kragujevac 34000, Serbia
Department of Production and Systems Engineering, Universidade do Minho, Braga 4705, Portugal
Faculty of Economics, University of Kragujevac, Djure Pucara Starog 3, Kragujevac 34000, Serbia
Faculty of Mechanical Engineering, University of East Sarajevo, Vuka Karadzica 30, Lukavica 71126, East Sarajevo, Bosnia and Herzegovina
Author to whom correspondence should be addressed.
These authors contributed equally to this work.
Academic Editor: Adam Jabłoński
Sustainability 2015, 7(12), 16483-16497;
Received: 2 October 2015 / Revised: 7 December 2015 / Accepted: 10 December 2015 / Published: 14 December 2015
(This article belongs to the Special Issue Resilient Businesses: Assessment, Approaches and Technology)
The business environment is rapidly changing and puts pressure on enterprises to find effective ways to survive and develop. Since it is almost impossible to identify the multitude of complex conditions and business risks, an organization has to build its resilience in order to be able to overcome issues and achieve long term sustainability. This paper contributes by establishing a two-step model for assessment and enhancement of organizational resilience potential oriented towards Small and Medium Enterprises (SMEs) in the process industry. Using a dynamic modelling technique and statistical tools, a sample of 120 SMEs in Serbia has been developed as a testing base, and one randomly selected enterprise was used for model testing and verification. Uncertainties regarding the relative importance of organizational resilience potential factors (ORPFs) and their value at each level of business are described by pre-defined linguistic expressions. The calculation of the relative importance of ORPFs for each business level is stated as a fuzzy group decision making problem. First, the weighted ORPFs’ values and resilience potential at each business level are determined. In the second step, near optimal enhancement of ORPFs’ values is achieved by applying a genetic algorithm (GA). View Full-Text
Keywords: organizational resilience; fuzzy sets; genetic algorithm; improvement strategy organizational resilience; fuzzy sets; genetic algorithm; improvement strategy
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Arsovski, S.; Putnik, G.; Arsovski, Z.; Tadic, D.; Aleksic, A.; Djordjevic, A.; Moljevic, S. Modelling and Enhancement of Organizational Resilience Potential in Process Industry SMEs. Sustainability 2015, 7, 16483-16497.

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