Undergraduate Research

   Understand Employees’ Opinions toward Sustainable Fashion Companies-through a Text Mining Based Content Analysis 

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Abstract

By leveraging sustainability practices, many fashion companies foster a work environment that prioritizes ethical standards, social equity, and environmental sustainability. This study aims to explore employees’ perceptions and values in sustainable fashion companies through the analysis of the employee reviews from Glassdoor platform. A total of 770 employee reviews detailing the pros and cons from Patagonia and Reformation were crawled by Python, was then analyzed using Leximancer, an advanced online text data analytical tool. The findings reveal that employees are satisfied with work-life balance, company culture, ethical practices, and commitment to sustainability, which demonstrate the alignment of employee values with company sustainability missions. The findings also indicate that employees seek fair remuneration, clear pathways, and ample growth room in sustainable fashion companies. This study offers insights that sustainable fashion practitioners should address employee concerns by providing professional development opportunities and maintaining transparent communication about the company's growth plans.

Keywords: Employee Opinion, Sustainable Fashion, Text-Mining, Employee Value

How to Cite:

Li, M. & Watson, A., (2025) “   Understand Employees’ Opinions toward Sustainable Fashion Companies-through a Text Mining Based Content Analysis ”, International Textile and Apparel Association Annual Conference Proceedings 81(1). doi: https://doi.org/10.31274/itaa.18557