International Journal of Nonlinear Analysis and Applications

Designing a competitive advantage model with an emphasis on brand identity in the apparel industry

Document Type : Research Paper

Authors

1 Department of Business Management, Roudehen Branch, Islamic Azad University, Roudehen, Iran

2 Department of Business Management, Firoozkooh Branch, Islamic Azad University, Firoozkooh, Iran

3 Department of Business Management, Central Tehran Branch, Islamic Azad University, Tehran, Iran

Abstract

This research was done to design a competitive advantage model with an emphasis on brand identity in the clothing industry. The statistical population in the qualitative phase includes 15 experts and managers of clothing manufacturing companies who were selected in a non-random way. The main tool of data collection is a semi-structured in-depth interview. Qualitative data analysis was done with the method of database theory and using MAXQDA software. The statistical population in the quantitative part, statistical population in the quantitative part included all customers of clothing products in Tehran city, based on which a sample of 384 people was selected using Morgan's table. Data collection was done in the quantitative section using a questionnaire and data analysis with the partial least squares method and SMART-PLS software. Based on the obtained paradigm model, the components related to competitive advantage with emphasis on brand identity in the Clothing industry in six categories of causal factors (brand identity and competitiveness factors), background conditions (product and service advantage), central phenomenon (competitive advantage), strategies (company planning), intervening conditions (competition management factors) and outcomes (brand loyalty, brand identity, brand orientation and market share) were identified.

Keywords

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International Journal of Nonlinear Analysis and Applications
Volume 15, Issue 12
December 2024
Pages 69-86
  • Receive Date: 15 July 2023
  • Revise Date: 08 October 2023
  • Accept Date: 13 October 2023