How to obtain customer requirements for each stage of the product life cycle from online reviews: Using mobile phones as an example

Lei Zhang, Yan Xuan, Ziqi Li, Pengfei Gao and Yu Zheng

Journal of Retailing and Consumer Services, 2024, vol. 80, issue C

Abstract: Full life cycle design is an advanced design methodology that minimizes the product life cycle's environmental impact to meet users' and social well-being requirements. It can solve the problems of excessive consumption of resources and energy, environmental pollution, and ecological crisis from the source, and it is an inevitable choice for implementing a green manufacturing strategy and realizing sustainable industrial development. However, little research has focused on customers' design requirements at all product life cycle stages, especially with big data. In this study, customers' reviews on mobile phones at various life cycle stages were obtained from the Weibo platform, and the emotional tendencies contained there were analyzed and evaluated. The dictionary of mobile phone life cycle requirements is constructed through machine learning, and customer requirements (CRs) for each mobile phone life cycle stage are mined. Finally, the Kano model is used to identify the essential attributes of mobile phones. The results show that the method proposed in this paper can mine and analyze the requirements of each stage of the product life cycle contained in online reviews and help designers understand the customer needs that must be considered in product design. This study can provide theoretical and methodological support for developing product green design and life cycle assessment.

Keywords: Data mining; Online review; Sentiment analysis; Machine learning; Life cycle; Green design (search for similar items in EconPapers)
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:eee:joreco:v:80:y:2024:i:c:s0969698924002248

DOI: 10.1016/j.jretconser.2024.103928

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