Customer opinions mining through social media: Insights from sustainability fraud crisis - Volkswagen emissions scandal

Ding, Juling, Xu, Mao, Tse, Ying Kei ORCID: https://orcid.org/0000-0001-6174-0326, Lin, Kuo-Yi and Zhang, Minhao 2023. Customer opinions mining through social media: Insights from sustainability fraud crisis - Volkswagen emissions scandal. Enterprise Information Systems 17 (8) , 2130012. 10.1080/17517575.2022.2130012

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Abstract

Social media has emerged as a vital tool to advance two-way communication between companies and customers. This paper uses 29,764 tweets to investigate a sustainability fraud crisis, the Volkswagen emissions scandal. We provide a Tweet Analytic Framework comprising three approaches: cluster analysis, sentiment analysis, and time series analysis. This paper explores public opinions regarding the Volkswagen emissions scandal in two stages and reveals the typical crisis development trend, the strong condemnation and negative sentiment, and significant public concerns. This paper can yield important insights for understanding how customers’ opinions change, thereby improving the effectiveness of managing sustainability fraud crises.

Item Type:	Article
Date Type:	Publication
Status:	Published
Schools:	Business (Including Economics)
Publisher:	Taylor and Francis Group
ISSN:	1751-7575
Date of First Compliant Deposit:	27 September 2022
Date of Acceptance:	26 September 2022
Last Modified:	07 Nov 2023 18:16
URI:	https://orca.cardiff.ac.uk/id/eprint/152909

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