Journal of Korean Society for Quality Management (품질경영학회지)

Korean Society for Quality Management (한국품질경영학회)
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Topic Modeling-based QFD Framework for Comparative Analysis between Competitive Products

경쟁 제품 간 비교 분석을 위한 토픽 모델링 기반 품질기능전개 프레임워크

  • Chenghe Cui (School of Business, Dongguk University) ;
  • Uk Jung (School of Business, Dongguk University)
  • 최승혁 (동국대학교 경영학부) ;
  • 정욱 (동국대학교 경영학부)
  • Received : 2023.11.28
  • Accepted : 2023.12.05
  • Published : 2023.12.31
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Abstract

Purpose: The primary purpose of this study is to integrate text mining and Quality Function Deployment (QFD) to automatically extract valuable information from customer reviews, thereby establishing a QFD frame- work to confirm genuine customer needs for New Product Development (NPD). Methods: Our approach combines text mining and QFD through topic modeling and sentiment analysis on a large data set of 56,873 customer reviews from Zappos.com, spanning five running shoe brands. This process objectively identifies customer requirements, establishes priorities, and assesses competitive strengths. Results: Through the analysis of customer reviews, the study successfully extracts customer requirements and translates customer experience insights and emotions into quantifiable indicators of competitiveness. Conclusion: The findings obtained from this research offer essential design guidance for new product develop- ment endeavors. Importantly, the significance of these results extends beyond the running shoe industry, presenting broad and promising applications across diverse sectors.

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References

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