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How do Artificial Intelligence Chatbots Affect Customer Purchase? Uncovering the Dual Pathways of Anthropomorphism on Service Evaluation

Author

Listed:
  • Yang Li

    (Hefei University of Technology)

  • Zhenghua Gan

    (Hefei University of Technology)

  • Bowen Zheng

    (Central South University)

Abstract

Although chatbots are increasingly deployed in customer service to reduce the burden of human labor and sometimes replace human employees in online shopping, there remains the challenge of ensuring consumers’ service evaluation and purchase decisions after chatbot service. Anthropomorphism, referring to human-like traits exhibited by non-human entities, is considered a key principle to facilitate customers’ positive evaluation of chatbot service and purchase decisions. However, equipping chatbots with anthropomorphism should be planned and rolled out cautiously because it could be both advantages to building customer trust and disadvantages for increasing customer overload. To understand how customers process and react to chatbot anthropomorphism, this study applied Wixom and Todd’s model and social information processing theory which guide this study to examine how object-based social beliefs (i.e., chatbot warmth and chatbot competence) of anthropomorphic chatbot influence service evaluation and customer purchase by generating behavioral beliefs (i.e., trust in chatbot and chatbot overload). The research model was examined with a “lab–in–the–field” experiment of 212 samples and two scenario-based experiments of 124 samples and 232 samples. The results showed that chatbot warmth and competence had significant effects on trust in chatbot and chatbot overload. Trust in chatbot and chatbot overload further significantly impact service evaluation and then customer purchase. Implications for theory and practice are discussed.

Suggested Citation

  • Yang Li & Zhenghua Gan & Bowen Zheng, 2025. "How do Artificial Intelligence Chatbots Affect Customer Purchase? Uncovering the Dual Pathways of Anthropomorphism on Service Evaluation," Information Systems Frontiers, Springer, vol. 27(1), pages 283-300, February.
  • Handle: RePEc:spr:infosf:v:27:y:2025:i:1:d:10.1007_s10796-023-10438-x
    DOI: 10.1007/s10796-023-10438-x
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    1. Sirkka L. Jarvenpaa & Dorothy E. Leidner, 1999. "Communication and Trust in Global Virtual Teams," Organization Science, INFORMS, vol. 10(6), pages 791-815, December.
    2. Barbara H. Wixom & Peter A. Todd, 2005. "A Theoretical Integration of User Satisfaction and Technology Acceptance," Information Systems Research, INFORMS, vol. 16(1), pages 85-102, March.
    3. Zogaj, Adnan & Mähner, Philipp M. & Yang, Linyu & Tscheulin, Dieter K., 2023. "It’s a Match! The effects of chatbot anthropomorphization and chatbot gender on consumer behavior," Journal of Business Research, Elsevier, vol. 155(PA).
    4. Junting Lu & Zhe Zhang & Ming Jia, 2019. "Does Servant Leadership Affect Employees’ Emotional Labor? A Social Information-Processing Perspective," Journal of Business Ethics, Springer, vol. 159(2), pages 507-518, October.
    5. Davis, Joshua M. & Agrawal, Deepti, 2018. "Understanding the role of interpersonal identification in online review evaluation: An information processing perspective," International Journal of Information Management, Elsevier, vol. 38(1), pages 140-149.
    6. Yi Sun & Shihui Li & Lingling Yu, 2022. "The dark sides of AI personal assistant: effects of service failure on user continuance intention," Electronic Markets, Springer;IIM University of St. Gallen, vol. 32(1), pages 17-39, March.
    7. Rangina Ahmad & Dominik Siemon & Ulrich Gnewuch & Susanne Robra-Bissantz, 2022. "Designing Personality-Adaptive Conversational Agents for Mental Health Care," Information Systems Frontiers, Springer, vol. 24(3), pages 923-943, June.
    8. Benjamin von Walter & Dietmar Kremmel & Bruno Jäger, 2022. "The impact of lay beliefs about AI on adoption of algorithmic advice," Marketing Letters, Springer, vol. 33(1), pages 143-155, March.
    9. Markus Blut & Cheng Wang & Nancy V. Wünderlich & Christian Brock, 2021. "Understanding anthropomorphism in service provision: a meta-analysis of physical robots, chatbots, and other AI," Journal of the Academy of Marketing Science, Springer, vol. 49(4), pages 632-658, July.
    10. Christine Rzepka & Benedikt Berger & Thomas Hess, 2022. "Voice Assistant vs. Chatbot – Examining the Fit Between Conversational Agents’ Interaction Modalities and Information Search Tasks," Information Systems Frontiers, Springer, vol. 24(3), pages 839-856, June.
    11. Christian Hildebrand & Anouk Bergner, 2021. "Conversational robo advisors as surrogates of trust: onboarding experience, firm perception, and consumer financial decision making," Journal of the Academy of Marketing Science, Springer, vol. 49(4), pages 659-676, July.
    12. Roy, Rajat & Naidoo, Vik, 2021. "Enhancing chatbot effectiveness: The role of anthropomorphic conversational styles and time orientation," Journal of Business Research, Elsevier, vol. 126(C), pages 23-34.
    13. Sara Moussawi & Marios Koufaris & Raquel Benbunan-Fich, 2021. "How perceptions of intelligence and anthropomorphism affect adoption of personal intelligent agents," Electronic Markets, Springer;IIM University of St. Gallen, vol. 31(2), pages 343-364, June.
    14. Lin Li & Kyung Young Lee & Emmanuel Emokpae & Sung-Byung Yang, 2021. "What makes you continuously use chatbot services? Evidence from chinese online travel agencies," Electronic Markets, Springer;IIM University of St. Gallen, vol. 31(3), pages 575-599, September.
    15. Reinartz, Werner & Haenlein, Michael & Henseler, Jörg, 2009. "An empirical comparison of the efficacy of covariance-based and variance-based SEM," International Journal of Research in Marketing, Elsevier, vol. 26(4), pages 332-344.
    16. Bruce R Lewis & Gary F Templeton & Terry Anthony Byrd, 2005. "A methodology for construct development in MIS research," European Journal of Information Systems, Taylor & Francis Journals, vol. 14(4), pages 388-400, December.
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