Asking vs. listening: A comparative analysis of focus groups and text mining customer online reviews
While focus groups and thematic analyses are still common, text mining of social media posts and online reviews (i.e. electronic Word of Mouth (eWoM)) is becoming increasingly popular across the consumer research landscape. This paper aims to compare the type of insight generated by each of these two approaches, and to reflect on the implications of those differences. This will aid the managerial and conceptual understanding of customer insight. By ‘asking’ in focus groups, as well as ‘listening’ to reviews, the study reinforces the benefits of methodological pluralism (i.e. combining qualitative and quantitative methods). This study illustrates the former by comparing the outcomes of an aspect-based sentiment analysis of eWoM, with a thematic analysis of a focus group discussion. Both studies investigate the purchase intentions, or experiences of customers, regarding refurbished washing machines.
Funding
The role of consumers in driving UK manufacturing’s digital transformation : ESRC-ECONOMIC & SOCIAL RESEARCH COUNCIL | J17293 / ES/W00
History
Publication status
- Published
File Version
- Accepted version
Journal
2024 Artificial Intelligence for Business (AIxB)Publisher
IEEEPublisher URL
External DOI
Page range
90-91Event name
2024 Artificial Intelligence for Business (AIxB)Event type
conferenceEvent start date
2024-12-02Event finish date
2024-12-04Department affiliated with
- Management Publications
- Business and Management Publications
Institution
University of SussexFull text available
- Yes
Peer reviewed?
- Yes