This chapter investigates the dynamic landscape of artificial intelligence (AI) applications in the apparel industry using the comprehensive Theory-Context-Characteristics-Methodology (TCCM) framework. Motivated by the increasing adoption of AI technologies in apparel manufacturing and retailing, we aim to provide a structured analysis of relevant literature. The background of the research stems from the growing importance of AI in enhancing efficiency and decision-making processes within the apparel sector. We contextualize our study within the broader framework of AI adoption trends in the industry. Employing the TCCM framework offers a systematic approach to exploring AI applications, guiding our selection of dimensions for analysis. These dimensions include manufacturing processes, production planning and control, retailing, supply chain management, and customer behavior modelling.

错误:搜索内容不能为空,请输入英文关键词
错误:关键词超出字数限制,请精简
高级检索

Exploring AI’s Impact on the Apparel Industry: A TCCM Framework Analysis

  • S. Vinay,
  • R. S. Navaneeth,
  • Nair Rohit Muralidharan

摘要

This chapter investigates the dynamic landscape of artificial intelligence (AI) applications in the apparel industry using the comprehensive Theory-Context-Characteristics-Methodology (TCCM) framework. Motivated by the increasing adoption of AI technologies in apparel manufacturing and retailing, we aim to provide a structured analysis of relevant literature. The background of the research stems from the growing importance of AI in enhancing efficiency and decision-making processes within the apparel sector. We contextualize our study within the broader framework of AI adoption trends in the industry. Employing the TCCM framework offers a systematic approach to exploring AI applications, guiding our selection of dimensions for analysis. These dimensions include manufacturing processes, production planning and control, retailing, supply chain management, and customer behavior modelling.