Mitigating implicit racial bias in tipping: when direct and indirect experience matters
- Publisher:
- Emerald
- Publication Type:
- Journal Article
- Citation:
- Journal of Consumer Marketing, 2023, 40, (5), pp. 609-621
- Issue Date:
- 2023-01-01
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| Filename | Description | Size | |||
|---|---|---|---|---|---|
| 10-1108_JCM-03-2021-4556.pdf | Published version | 1.13 MB |
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Purpose: Academic research has supported the belief that consumers undertip minority race service workers due to implicit racial biases. However, there has been less focus in examining possible moderating factors. This paper aims to fill this gap by analyzing the role of direct and indirect experience in tipping frontline service workers from a minority background. Given the prominence of customer ratings on digital service platforms and the perception that African Americans are discriminated against, the authors look at the interplay of interaction length (direct experience) and customer ratings (indirect experience) on the relationship between race and tipping. Design/methodology/approach: An expectancy disconfirmation framework was developed and tested with a sample of 360 US participants in an online experiment. The experiment followed a 2 × (race: African-American versus Caucasian) × 2 (direct experience: limited versus extensive) × 3 (indirect experience: absent versus positive versus negative customer rating) design. Findings: The authors found consumers who have extended direct experience (longer service interaction) and no indirect experience (absent customer ratings) tipped African Americans more than Caucasians. Interestingly, this effect is reduced in the presence of indirect experience (customer ratings). Finally, where the consumer lacks direct experience (shorter service interaction) but is exposed to positive indirect experience (positive customer ratings), consumers tip African Americans more. Originality/value: To the best of the authors’ knowledge, this is the first paper that examines the role of direct and indirect experience in the relationship between race and tipping. Based on the authors’ findings, the authors provide several contributions, including recommendations to reduce inequalities arising from implicit racial bias on digital service platforms.
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