Exploring Global Fashion Sustainability Practices through Dictionary-Based Text Mining

Muzhen Li, Li Zhao

Research output: Contribution to journalArticlepeer-review

3 Scopus citations


Nowadays, more fashion companies have started to adopt various sustainability practices and communicate these practices through their annual public CSR reports. In this study, we aim to provide a holistic perspective of fashion companies’ sustainable development and investigate the sustainability practices of global fashion companies. A total of 181 CSR reports from 29 fashion companies were collected. A Dictionary approach text classification method, combined with Latent Dirichlet Allocation (LDA), a computer-assisted topic modeling algorithm, was implemented to detect and summarize the themes and keywords of detailed practices disclosed in CSR reports. The findings identified 12 main sustainability practices themes based on the triple bottom line theory and the moral responsibility of corporate sustainability theory. In general, waste management and human rights are the most frequently mentioned themes. The findings also suggest that global fashion companies adopted different sustainability strategies based on their product categories and competitive advantages.

Original languageEnglish
Pages (from-to)175-190
Number of pages16
JournalClothing and Textiles Research Journal
Issue number3
StatePublished - Jul 2023

Bibliographical note

Publisher Copyright:
© 2021 ITAA.


  • dictionary-based approach
  • moral responsibility of corporate sustainability
  • sustainable practices
  • topic modeling algorithm
  • triple bottom line theory

ASJC Scopus subject areas

  • Business, Management and Accounting (miscellaneous)
  • Polymers and Plastics
  • Business, Management and Accounting (all)
  • Materials Science (miscellaneous)


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