When AI-based services fail: examining the effect of the self-AI connection on willingness to share negative word-of-mouth after service failures

Bo Huang and Matthew Philp

The Service Industries Journal, 2021, vol. 41, issue 13-14, 877-899

Abstract: Recent proliferation of artificial intelligence (AI) in service encounters gives rise to questions on how consumers respond to these novel technologies. This study seeks to examine the influence of AI service failures on consumers’ propensity to share negative word-of-mouth. Three experiments demonstrate that consumers are less willing to share negative word-of-mouth after a service failure caused by an AI recommendation system, in contrast to a human employee, despite there being no difference in the failure, firm blame, or dissatisfaction with the failure. Further investigation suggests that this effect is driven by consumers’ perceived connection with the AI that uses their past behavior to predict their future preferences. The conclusions shed light on the overall understanding of consumer-AI interactions. The results also provide managerial implications for firms to implement AI effectively and carefully in their service offerings.

Date: 2021
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Citations: View citations in EconPapers (5)

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DOI: 10.1080/02642069.2020.1748014

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The Service Industries Journal is currently edited by Eileen Bridges, Professor Domingo Ribeiro, Ronald Goldsmith, Barry Howcroft and Youjae Yi

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