Development of fuzzy two-stage DEA model for competitive advantage based on RBV and strategic agility as a dynamic capability

Abstract

Purpose

This paper aims to develop a framework for competitive advantage by systematic quantitative methodology based on resource-based view and dynamic capability theory. Strategic agility was used as a dynamic capability.

Design/methodology/approach

Data were collected from a survey aimed at manufacturing companies from five manufacturing industry in Semnan, Iran. A total of 102 questionnaires were received from 13 companies using convenience sampling. Fuzzy two-stage data envelopment analysis model (DEA) was used to analyse the data collected.

Findings

The results indicate that there is close internal relationship among firm resources, strategic agility and competitive advantage, and their inherent relationship makes constant returns to scale (CRS) scores closer to 1. In most of the companies, the second process which transforms strategic agility to competitive advantage is the main cause for unsatisfactory performance in gaining competitive advantage.

Originality/value

The innovation of this paper is in its model and method. There is no research has been ever done on the relationship among firm resources, strategic agility and competitive advantage. Moreover, to obtain a competitive advantage structure, DEA technique was adopted which is a new approach in this area.

Citation

Hemmati, M., Feiz, D., Jalilvand, M.R. and Kholghi, I. (2016), "Development of fuzzy two-stage DEA model for competitive advantage based on RBV and strategic agility as a dynamic capability", Journal of Modelling in Management, Vol. 11 No. 1, pp. 288-308. https://doi.org/10.1108/JM2-12-2013-0067