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How Human–Chatbot Interaction Impairs Charitable Giving: The Role of Moral Judgment

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Listed:
  • Yuanyuan Zhou

    (Huazhong University of Science and Technology)

  • Zhuoying Fei

    (Huazhong University of Science and Technology)

  • Yuanqiong He

    (Huazhong University of Science and Technology)

  • Zhilin Yang

    (City University of Hong Kong)

Abstract

Interactions between human beings and chatbots are gradually becoming part of our everyday social lives. It is still unclear how human–chatbot interactions (HCIs), compared to human–human interactions (HHIs), influence individual morality. Building on the dual-process theory of moral judgment, a secondary data analysis (Study 1), and two scenario-based experiments (Studies 2 and 3) provide sufficient evidence that HCIs (vs. HHIs) support utilitarian judgments (vs. deontological judgments), which reduce participants' donation amount. Study 3 further demonstrates that the negative effects of HCIs can be attenuated by inducing a social-oriented (vs. task-oriented) communication style in chatbots’ verbal language designs. These findings highlight the negative impacts of HCIs on relationships among human beings and suggest a practical intervention for nonprofit organization managers.

Suggested Citation

  • Yuanyuan Zhou & Zhuoying Fei & Yuanqiong He & Zhilin Yang, 2022. "How Human–Chatbot Interaction Impairs Charitable Giving: The Role of Moral Judgment," Journal of Business Ethics, Springer, vol. 178(3), pages 849-865, July.
    • Handle: RePEc:kap:jbuset:v:178:y:2022:i:3:d:10.1007_s10551-022-05045-w
    DOI: 10.1007/s10551-022-05045-w
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