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Can chatbot customer service match human service agents on customer satisfaction? An investigation in the role of trust

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  • Huang, Dongling
  • Markovitch, Dmitri G.
  • Stough, Rusty A.

Abstract

Consumers prefer human service over chatbots in some contexts. We draw on treatments of trust in information systems research to propose a three-tiered model of trust which posits that customer outcomes following chatbot service are influenced by dispositional trust in service technologies, generalized learned trust in chatbots, and particularized situational trust in one's chatbot service-giver. Our empirical tests, based on 643 participants in 3 studies, show that dispositional trust partially mediates the effect of learned trust. We also evaluate two alternative chatbot service configurations to help improve customer acceptance. The approach which combined chatbot service with a light touch human intervention matched the human service condition on most customer outcomes.

Suggested Citation

  • Huang, Dongling & Markovitch, Dmitri G. & Stough, Rusty A., 2024. "Can chatbot customer service match human service agents on customer satisfaction? An investigation in the role of trust," Journal of Retailing and Consumer Services, Elsevier, vol. 76(C).
    • Handle: RePEc:eee:joreco:v:76:y:2024:i:c:s096969892300351x
    DOI: 10.1016/j.jretconser.2023.103600
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    1. Gefen, David, 2000. "E-commerce: the role of familiarity and trust," Omega, Elsevier, vol. 28(6), pages 725-737, December.
    2. Prentice, Catherine & Wang, Xuequn & Loureiro, Sandra Maria Correia, 2019. "The influence of brand experience and service quality on customer engagement," Journal of Retailing and Consumer Services, Elsevier, vol. 50(C), pages 50-59.
    3. Ben Jabeur, Sami & Ballouk, Hossein & Ben Arfi, Wissal & Sahut, Jean-Michel, 2023. "Artificial intelligence applications in fake review detection: Bibliometric analysis and future avenues for research," Journal of Business Research, Elsevier, vol. 158(C).
    4. Ferris, Gerald R. & Judge, Timothy A. & Rowland, Kendrith M. & Fitzgibbons, Dale E., 1994. "Subordinate Influence and the Performance Evaluation Process: Test of a Model," Organizational Behavior and Human Decision Processes, Elsevier, vol. 58(1), pages 101-135, April.
    5. Nachiketa Sahoo & Ramayya Krishnan & George Duncan & Jamie Callan, 2012. "Research Note ---The Halo Effect in Multicomponent Ratings and Its Implications for Recommender Systems: The Case of Yahoo! Movies," Information Systems Research, INFORMS, vol. 23(1), pages 231-246, March.
    6. Chung, Minjee & Ko, Eunju & Joung, Heerim & Kim, Sang Jin, 2020. "Chatbot e-service and customer satisfaction regarding luxury brands," Journal of Business Research, Elsevier, vol. 117(C), pages 587-595.
    7. Li, Sixian & Peluso, Alessandro M. & Duan, Jinyun, 2023. "Why do we prefer humans to artificial intelligence in telemarketing? A mind perception explanation," Journal of Retailing and Consumer Services, Elsevier, vol. 70(C).
    8. Hasan, Rajibul & Shams, Riad & Rahman, Mizan, 2021. "Consumer trust and perceived risk for voice-controlled artificial intelligence: The case of Siri," Journal of Business Research, Elsevier, vol. 131(C), pages 591-597.
    9. Pizzi, Gabriele & Scarpi, Daniele & Pantano, Eleonora, 2021. "Artificial intelligence and the new forms of interaction: Who has the control when interacting with a chatbot?," Journal of Business Research, Elsevier, vol. 129(C), pages 878-890.
    10. Sheehan, Ben & Jin, Hyun Seung & Gottlieb, Udo, 2020. "Customer service chatbots: Anthropomorphism and adoption," Journal of Business Research, Elsevier, vol. 115(C), pages 14-24.
    11. Nisreen Ameen & Ali Tarhini & Alexander Reppel & Amitabh Anand, 2021. "Customer experiences in the age of artificial intelligence," Post-Print halshs-03045430, HAL.
    12. Alba, Joseph W & Hutchinson, J Wesley, 1987. "Dimensions of Consumer Expertise," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 13(4), pages 411-454, March.
    13. Chen, Qian & Gong, Yeming & Lu, Yaobin & Tang, Jing, 2022. "Classifying and measuring the service quality of AI chatbot in frontline service," Journal of Business Research, Elsevier, vol. 145(C), pages 552-568.
    14. McLean, Graeme & Osei-Frimpong, Kofi & Barhorst, Jennifer, 2021. "Alexa, do voice assistants influence consumer brand engagement? – Examining the role of AI powered voice assistants in influencing consumer brand engagement," Journal of Business Research, Elsevier, vol. 124(C), pages 312-328.
    15. Kennedy, Mary Susan & Ferrell, Linda K. & LeClair, Debbie Thorne, 2001. "Consumers' trust of salesperson and manufacturer: an empirical study," Journal of Business Research, Elsevier, vol. 51(1), pages 73-86, January.
    16. D. Harrison McKnight & Vivek Choudhury & Charles Kacmar, 2002. "Developing and Validating Trust Measures for e-Commerce: An Integrative Typology," Information Systems Research, INFORMS, vol. 13(3), pages 334-359, September.
    17. Rese, Alexandra & Ganster, Lena & Baier, Daniel, 2020. "Chatbots in retailers’ customer communication: How to measure their acceptance?," Journal of Retailing and Consumer Services, Elsevier, vol. 56(C).
    18. Mariani, Marcello M. & Hashemi, Novin & Wirtz, Jochen, 2023. "Artificial intelligence empowered conversational agents: A systematic literature review and research agenda," Journal of Business Research, Elsevier, vol. 161(C).
    19. Prentice, Dr Catherine, 2019. "Managing service encounters with emotional intelligence," Journal of Retailing and Consumer Services, Elsevier, vol. 51(C), pages 344-351.
    20. Zaichkowsky, Judith Lynne, 1985. "Measuring the Involvement Construct," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 12(3), pages 341-352, December.
    21. Chinchanachokchai, Sydney & Thontirawong, Pipat & Chinchanachokchai, Punjaporn, 2021. "A tale of two recommender systems: The moderating role of consumer expertise on artificial intelligence based product recommendations," Journal of Retailing and Consumer Services, Elsevier, vol. 61(C).
    22. Juanjuan Zhang, 2010. "The Sound of Silence: Observational Learning in the U.S. Kidney Market," Marketing Science, INFORMS, vol. 29(2), pages 315-335, 03-04.
    23. Hsu, Chin-Lung & Lin, Judy Chuan-Chuan, 2023. "Understanding the user satisfaction and loyalty of customer service chatbots," Journal of Retailing and Consumer Services, Elsevier, vol. 71(C).
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