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Asking vs. listening: A comparative analysis of focus groups and text mining customer online reviews

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conference contribution
posted on 2025-01-29, 10:51 authored by Maren Schnieder, Ramin Behbehani, Ana Isabel CanhotoAna Isabel Canhoto, Ahmad Beltagui, Niraj Kumar, Jay McCloskey

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

IEEE

Page range

90-91

Event name

2024 Artificial Intelligence for Business (AIxB)

Event type

conference

Event start date

2024-12-02

Event finish date

2024-12-04

Department affiliated with

  • Management Publications
  • Business and Management Publications

Institution

University of Sussex

Full text available

  • Yes

Peer reviewed?

  • Yes

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