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Cited by 199

The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.

Understanding and Improving Consumer Reactions to Service Bots

Open access
Castelo, Noah, Boegershausen, Johannes, Hildebrand, Christian, Henkel, Alexander P·2023·Journal of Consumer Research

Abstract

Many firms are beginning to replace customer service employees with bots, from humanoid service robots to digital chatbots. Using real human–bot interactions in lab and field settings, we study consumers’ evaluations of bot-provided service. We find that service evaluations are more negative when the service provider is a bot versus a human—even when the provided service is identical. This effect is explained by consumers’ belief that service automation is motivated by firm benefits (i.e., cutting costs) at the expense of customer benefits (such as service quality). The effect is eliminated when firms share the economic surplus derived from automation with consumers through price discounts. The effect is reversed when service bots provide unambiguously superior service to human employees—a scenario that may soon become reality. Consumers’ default reactions to service bots are therefore largely negative but can be equal to or better than reactions to human service providers if firms can demonstrate how automation benefits consumers.

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Crossref · 10.1093/jcr/ucad023

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Metadata

Authors
Castelo, N., Boegershausen, J., Hildebrand, C., & Henkel, A. P.
Venue
Journal of Consumer Research
Published
2023-04-03
Volume
50
Issue
4
Pages
848-863
ISSN
  • 0093-5301 (ISSN-L)
  • 1537-5277
OpenAlex
W4362590534
Cited by
199
References
6
FWCI
17.39
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: Understanding and Improving Consumer Reactions to Service Bots. https://app.cochat.ai/papers/10.1093/jcr/ucad023
The paper
Castelo, N., Boegershausen, J., Hildebrand, C., & Henkel, A. P. (2023). Understanding and Improving Consumer Reactions to Service Bots. Journal of Consumer Research. https://doi.org/10.1093/jcr/ucad023

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.