Dynamic product quality improvement using social media data and competitor-based Kano model

Lu Zheng, Lin Sun, Zhen He and Shuguang He

International Journal of Production Economics, 2025, vol. 285, issue C

Abstract: Recently, social media data have emerged as an important information source for product quality improvement. Previous studies utilize social media data and the Kano model to delineate opportunities for product quality enhancement. However, a favorable performance appraisal from customers does not guarantee that the product gains a competitive edge over its rivals. Performance evaluation may be inaccurate and biased without comparing the product to its competitors. Moreover, few studies research dynamic quality attributes and propose strategies for dynamic quality enhancement. In this study, we propose a dynamic approach to improving product quality using social media data. Firstly, we categorize social media data into texts with positive, negative, and neutral sentiments. By considering competitors, we then dynamically estimate product performance and customer satisfaction using these texts, Dynamic Topic Models, and sentiment analysis. Secondly, we cluster product features into diverse quality attributes using our proposed competitor-based Kano model. Finally, we use a case study of laptops for validation. Experimental results not only validate the lifecycle of quality attributes (changing from indifferent to attractive attributes, which turn to one-directional/must-be attributes) proposed by extant research, but also reveal new trajectories of quality attributes (fluctuating among one-directional, must-be, and attractive attributes). Additionally, the comparison with baseline methods manifests that our method provides manufacturers with timely decision support to improve product quality, formulate product development strategies, and enhance product competitiveness.

Keywords: Product quality improvement; Social media data; Kano model; Dynamic topic models; Text analysis; Competitor analysis (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0925527325001306
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:proeco:v:285:y:2025:i:c:s0925527325001306

DOI: 10.1016/j.ijpe.2025.109645

Access Statistics for this article

International Journal of Production Economics is currently edited by Stefan Minner

More articles in International Journal of Production Economics from Elsevier
Bibliographic data for series maintained by Catherine Liu ().