Ranking organizational resilience factors in enterprises using a modified fuzzy analytical hierarchy process

Faculty of Engineering, University of Kragujevac, Kragujevac, Serbia

In the last few decades, the concept of organizational resilience has been developed, and in that manner, it represents an adequate management method for enterprises operating in the conditions of the economic crisis. In this paper, the problem of organizational resilience factors prioritization (ORF) is considered, which represents the first step in the determining of improvement strategies. The ORF ranking is set up as a task of a multi-criterion optimization inclusive of qualitative variables. Management teams at the level of every company assess the relative importance of each pair of business processes and the preference of the ORF within each business process using predefined linguistic expressions. The modeling of linguistic expressions is based on the theory of fuzzy sets. The aggregated values of the considered variables are obtained by applying the fuzzy ordered weighted averaging operator. The vector of a combined ORF priority was determined by using the fuzzy Analytic Hierarchy Process. The proposed model is illustrated by an illustrative example where the used data is obtained from the process of small and medium enterprises (SMEs) operating in central Serbia. It is shown that the developed model is very suitable for making decisions on changing business strategies in order to increase organizational resilience.

Keywords: organizational resilience factors, fuzzy set, fuzzy ordered weighted averaging operator (FOWA), fuzzy Analytic Hierarchy Process (FAHP)

JEL Classification: C61, D80, O21