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author:

Shu, Lifang (Shu, Lifang.) [1] | Wu, Yueyan (Wu, Yueyan.) [2] | Wang, Kui (Wang, Kui.) [3] | Li, Sirui (Li, Sirui.) [4]

Indexed by:

SSCI Scopus

Abstract:

PurposeThis study aims to investigate how service agent type (human vs robot) influences consumers' punishment intentions following service failure. Moreover, it examines the mediating mechanism of anticipatory guilt and the boundary condition imposed by consumer relationship orientation (exchange vs communal).Design/methodology/approachFour online experiments (N = 978) systematically test the hypotheses: Study 1 uses an experience recall task to establish baseline effects. Study 2 uses a controlled experiment comparing human and robot service failure scenarios. Study 3 probes the mediating role of anticipatory guilt through a moderated causal chain analysis. Study 4 assesses the moderating effect of relationship orientation using a 2 (agent type) x 2 (orientation) factorial design.FindingsThe results reveal that consumers exhibit significantly lower punishment intentions toward human service agents than toward their robotic counterparts, primarily because of greater anticipatory guilt. This effect is particularly pronounced among consumers with communal (vs exchange) relationship orientations. Alternative explanations based on perceived warmth, competence and retaliation risk are empirically ruled out, demonstrating the robustness of the findings.Originality/valueThis research extends service failure scholarship by investigating how consumers' advanced awareness of punitive outcomes influences their punishment intentions toward service agents (robots and human employees). While the literature predominantly focuses on dimensions of robot agency as conceptual mechanisms, this research pioneers an affective mediation framework, using empirical validation to establish anticipatory guilt as the critical psychological mediator. This research also demonstrates how relationship orientations (exchange and communal) modulate such effects, thereby advancing human-computer interaction studies through an emotional lens.

Keyword:

Artificial intelligence (AI) Service failures Service robot

Community:

  • [ 1 ] [Shu, Lifang]Shenzhen Polytech Univ, Dept Management, Shenzhen, Peoples R China
  • [ 2 ] [Wu, Yueyan]Fuzhou Univ, Sch Econ & Management, Fuzhou, Peoples R China
  • [ 3 ] [Wang, Kui]Jinan Univ, Sch Management, Res Inst Brand Innovat & Dev Guangzhou, Guangzhou, Peoples R China
  • [ 4 ] [Li, Sirui]Jinan Univ, Sch Management, Guangzhou, Peoples R China

Reprint 's Address:

  • [Wang, Kui]Jinan Univ, Sch Management, Res Inst Brand Innovat & Dev Guangzhou, Guangzhou, Peoples R China

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Source :

JOURNAL OF SERVICES MARKETING

ISSN: 0887-6045

Year: 2025

3 . 8 0 0

JCR@2023

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 5

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