ANALYSIS OF VARIABLES AFFECTING COMPETITIVENESS OF SMES IN THE TEXTILE INDUSTRY | Zendy

Caner Taçoğlu | Zendy; Cemil Ceylan | Zendy; Yiğit Kazançoğlu | Zendy

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ANALYSIS OF VARIABLES AFFECTING COMPETITIVENESS OF SMES IN THE TEXTILE INDUSTRY

Author(s) -

Caner Taçoğlu,

Cemil Ceylan,

Yiğit Kazançoğlu

Publication year - 2019

Publication title -

journal of business economics and management

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.485

H-Index - 37

eISSN - 1611-1699

pISSN - 2029-4433

DOI - 10.3846/jbem.2019.9853

Subject(s) - industrial organization , business , identification (biology) , delphi method , textile industry , variables , textile , delphi , competitive advantage , variable (mathematics) , marketing , computer science , mathematics , history , mathematical analysis , botany , archaeology , artificial intelligence , machine learning , biology , operating system

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.

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