Analysis of variables affecting competitiveness of SMEs in the textile industry
Abstract
This paper aims to develop strategy and policy suggestions to increase the competitiveness of SMEs in the textile industry by analyzing the variables that affect competitiveness and contribute to competitiveness literature by adopting a holistic approach to the analysis of competitiveness variables. A hybrid model composed of Delphi and fuzzy DEMATEL (Decision-Making Trial and Evaluation Laboratory) methods were used to gather and analyze the competitiveness variables. This led to the identification of the 15 most important of 73 competitiveness variables relevant to SME competitiveness in the textile industry. These variables were analysed and ranked, and their causal relationships were mapped. The results obtained from the model may function as a reference for SME managers aiming to increase their firm’s competitive power.
Keyword : SME, competitiveness, management, Delphi, fuzzy DEMATEL, textile industry, production sector
How to Cite
Taçoğlu, C., Ceylan, C., & Kazançoğlu, Y. (2019). Analysis of variables affecting competitiveness of SMEs in the textile industry. Journal of Business Economics and Management, 20(4), 648-673. https://doi.org/10.3846/jbem.2019.9853
This work is licensed under a Creative Commons Attribution 4.0 International License.
References
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Kathuria, R. (2000). Competitive priorities and managerial performance: a taxonomy of small manufacturers. Journal of Operations Management, 18(6), 627-641. https://doi.org/10.1016/S0272-6963(00)00042-5
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Khompatraporn, C., & Somboonwiwat, T. (2017). Causal factor relations of supply chain competitiveness via fuzzy DEMATEL method for Thai automotive industry. Production Planning & Control, 28(6-8), 538-551. https://doi.org/10.1080/09537287.2017.1309713
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