Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/317346 
Year of Publication: 
2019
Citation: 
[Journal:] Journal of Business Economics and Management (JBEM) [ISSN:] 2029-4433 [Volume:] 20 [Issue:] 4 [Year:] 2019 [Pages:] 648-673
Publisher: 
Vilnius Gediminas Technical University, Vilnius
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.
Subjects: 
SME
competitiveness
management
Delphi
fuzzy DEMATEL
textile industry
production sector
JEL: 
L67
Persistent Identifier of the first edition: 
Creative Commons License: 
cc-by Logo
Document Type: 
Article

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