Building harmonious human–AI relationship through empathy in frontline service encounters: underlying mechanisms and journey stage differences

Purpose This study aims to deepen our understanding of how chatbots’ empathy influences humans–AI relationship in frontline service encounters. The authors investigate the underlying mechanisms, including perceived anthropomorphism, perceived intelligence and psychological empowerment, while also considering variations between different stages of the customer journey (before and after purchase). Design/methodology/approach Data collection was conducted through an online survey distributed among 301 customers who had experience using AI-based service chatbot in frontline service encounters in China. The hypotheses were examined through structural equation modeling and multi-group analysis. Findings The findings of this study revealed the positive impacts of emotional and cognitive empathy on humans–AI relationship through perceived anthropomorphism, perceived intelligence and psychological empowerment. Furthermore, this study verified the moderating effect of the customer journey stages, such that the impacts of anthropomorphism and intelligence on humans–AI relationship displayed more strength during the pre- and post-purchase phases, respectively. Practical implications This research offers practical implications for companies: recognize and enhance empathy dimensions in AI-based service chatbot to empower human–AI relationships; boost customer empowerment in human–AI interactions; and tailor anthropomorphic features in the pre-purchase stage and improve problem-solving capability in the post-purchase stage to enrich user experiences. Originality/value This study extends relationship marketing theory and human–AI interaction frameworks by investigating the underlying mechanisms of the effect of two-dimensional empathy on human–AI relationship. This study also enriches service design theories by revealing the moderating effect of customer journey stages.

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Publication Details

Journal
International Journal of Contemporary Hospitality Management
Published
2024-11-21
DOI
https://doi.org/10.1108/ijchm-05-2024-0676
Citations
17
Primary Topic
AI in Service Interactions
Type
article
Field-Weighted Citation Impact
5.91
Controls
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article

Building harmonious human–AI relationship through empathy in frontline service encounters: underlying mechanisms and journey stage differences

Yongqiang Sun, Bo Yang, Xiao‐Liang Shen
17 citations
International Journal of Contemporary Hospitality Management
AI in Service Interactions
5.91
article

Building harmonious human–AI relationship through empathy in frontline service encounters: underlying mechanisms and journey stage differences

Yongqiang Sun, Bo Yang, Xiao‐Liang Shen
article en
17 citations

Abstract

Purpose This study aims to deepen our understanding of how chatbots’ empathy influences humans–AI relationship in frontline service encounters. The authors investigate the underlying mechanisms, including perceived anthropomorphism, perceived intelligence and psychological empowerment, while also considering variations between different stages of the customer journey (before and after purchase). Design/methodology/approach Data collection was conducted through an online survey distributed among 301 customers who had experience using AI-based service chatbot in frontline service encounters in China. The hypotheses were examined through structural equation modeling and multi-group analysis. Findings The findings of this study revealed the positive impacts of emotional and cognitive empathy on humans–AI relationship through perceived anthropomorphism, perceived intelligence and psychological empowerment. Furthermore, this study verified the moderating effect of the customer journey stages, such that the impacts of anthropomorphism and intelligence on humans–AI relationship displayed more strength during the pre- and post-purchase phases, respectively. Practical implications This research offers practical implications for companies: recognize and enhance empathy dimensions in AI-based service chatbot to empower human–AI relationships; boost customer empowerment in human–AI interactions; and tailor anthropomorphic features in the pre-purchase stage and improve problem-solving capability in the post-purchase stage to enrich user experiences. Originality/value This study extends relationship marketing theory and human–AI interaction frameworks by investigating the underlying mechanisms of the effect of two-dimensional empathy on human–AI relationship. This study also enriches service design theories by revealing the moderating effect of customer journey stages.

International Journal of Contemporary Hospitality ManagementVol. 37(3)
Wuhan University (CN)
Openalex Percentile: Top 3%
AI in Service Interactions
5.91
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