社会化媒体
独创性
情绪分析
业务
营销
价值(数学)
付款
透视图(图形)
广告
定性研究
计算机科学
财务
社会学
社会科学
机器学习
人工智能
万维网
作者
James Lappeman,Michaela Franco,Victoria Warner,Lara Sierra-Rubia
出处
期刊:Journal of Consumer Marketing
[Emerald (MCB UP)]
日期:2022-05-24
卷期号:39 (5): 385-403
被引量:11
标识
DOI:10.1108/jcm-12-2019-3540
摘要
Purpose This study aims to investigate the factors that influence South African customers to potentially switch from one bank to another. Instead of using established models and survey techniques, the research measured social media sentiment to measure threats to switch. Design/methodology/approach The research involved a 12-month analysis of social media sentiment, specifically customer threats to switch banks (churn). These threats were then analysed for co-occurring themes to provide data on the reasons customers were making these threats. The study used over 1.7 million social media posts and focused on all five major South African retail banks (essentially the entire sector). Findings This study concluded that seven factors are most significant in understanding the underlying causes of churn. These are turnaround time, accusations of unethical behaviour, billing or payments, telephonic interactions, branches or stores, fraud or scams and unresponsiveness. Originality/value This study is unique in its measurement of unsolicited social media sentiment as opposed to most churn-related research that uses survey- or customer-data-based methods. In addition, this study observed the sentiment of customers from all major retail banks across 12 months. To date, no studies on retail bank churn theory have provided such an extensive perspective. The findings contribute to Susan Keaveney’s churn theory and provide a new measurement of switching threat through social media sentiment analysis.
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