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Sustainability 2015, 7(12), 16483-16497; doi:10.3390/su71215828

Modelling and Enhancement of Organizational Resilience Potential in Process Industry SMEs

1
Faculty of Engineering, University of Kragujevac, Sestre Janjic 6, Kragujevac 34000, Serbia
2
Department of Production and Systems Engineering, Universidade do Minho, Braga 4705, Portugal
3
Faculty of Economics, University of Kragujevac, Djure Pucara Starog 3, Kragujevac 34000, Serbia
4
Faculty of Mechanical Engineering, University of East Sarajevo, Vuka Karadzica 30, Lukavica 71126, East Sarajevo, Bosnia and Herzegovina
These authors contributed equally to this work.
*
Author to whom correspondence should be addressed.
Academic Editor: Adam Jabłoński
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)
View Full-Text   |   Download PDF [2010 KB, uploaded 14 December 2015]   |  

Abstract

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
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

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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