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It’s a Match! The effects of chatbot anthropomorphization and chatbot gender on consumer behavior

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  • Zogaj, Adnan
  • Mähner, Philipp M.
  • Yang, Linyu
  • Tscheulin, Dieter K.

Abstract

Chatbots are increasingly used as substitutes for human service agents in online shops. This has led researchers to analyze how chatbot characteristics influence consumer responses. However, while the relevance of chatbot characteristics has been examined, to date, consumers’ personalities have remained unattended in the research on this innovative mode of online support. Therefore, this study aims to understand how the interaction of consumer characteristics and chatbot characteristics influences consumer behavior. In doing so, we focus on how chatbots’ visual cues (i.e., anthropomorphization, gender) influence consumer behavior while also considering consumers’ self-concept. To answer the research question, we first conceptually discuss why consumer behavior depends on perceived self-congruence between consumers and a chatbot, which can be reached by anthropomorphizing chatbots and giving them the “right” gender. Subsequently, based on multiple studies, we empirically test the hypotheses considering male, female, and non-binary consumers. Our results demonstrate the relevance of both chatbot anthropomorphization and chatbot gender.

Suggested Citation

  • 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).
    • Handle: RePEc:eee:jbrese:v:155:y:2023:i:pa:s0148296322008773
    DOI: 10.1016/j.jbusres.2022.113412
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    1. Lucia Malär & Daniela Herzog & Harley Krohmer & Wayne D. Hoyer & Andrea Kähr, 2018. "The Janus Face of Ideal Self-Congruence: Benefits for the Brand versus Emotional Distress for the Consumer," Journal of the Association for Consumer Research, University of Chicago Press, vol. 3(2), pages 163-174.
    2. Selamat, Moch Akbar & Windasari, Nila Armelia, 2021. "Chatbot for SMEs: Integrating customer and business owner perspectives," Technology in Society, Elsevier, vol. 66(C).
    3. Zhu, Xiajing & Teng, Lefa & Foti, Lianne & Yuan, Yige, 2019. "Using self-congruence theory to explain the interaction effects of brand type and celebrity type on consumer attitude formation," Journal of Business Research, Elsevier, vol. 103(C), pages 301-309.
    4. Stephan Diederich & Alfred Benedikt Brendel & Lutz M. Kolbe, 2020. "Designing Anthropomorphic Enterprise Conversational Agents," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 62(3), pages 193-209, June.
    5. Karjaluoto, Heikki & Shaikh, Aijaz A. & Saarijärvi, Hannu & Saraniemi, Saila, 2019. "How perceived value drives the use of mobile financial services apps," International Journal of Information Management, Elsevier, vol. 47(C), pages 252-261.
    6. 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.
    7. El Hedhli, Kamel & Zourrig, Haithem & Park, Jeongsoo, 2017. "Image transfer from malls to stores and its influence on shopping values and mall patronage: The role of self-congruity," Journal of Retailing and Consumer Services, Elsevier, vol. 39(C), pages 208-218.
    8. Pantano, Eleonora & Pizzi, Gabriele, 2020. "Forecasting artificial intelligence on online customer assistance: Evidence from chatbot patents analysis," Journal of Retailing and Consumer Services, Elsevier, vol. 55(C).
    9. Letizia Lo Presti & Giulio Maggiore & Vittoria Marino, 2021. "The role of the chatbot on customer purchase intention: towards digital relational sales," Italian Journal of Marketing, Springer, vol. 2021(3), pages 165-188, September.
    10. 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.
    11. 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.
    12. Adnan Zogaj & Dieter K. Tscheulin & Jörg Lindenmeier & Stephan Olk, 2021. "Linking actual self-congruence, ideal self-congruence, and functional congruence to donor loyalty: the moderating role of issue involvement," Journal of Business Economics, Springer, vol. 91(3), pages 379-400, April.
    13. Kim, Angella J. & Ko, Eunju, 2012. "Do social media marketing activities enhance customer equity? An empirical study of luxury fashion brand," Journal of Business Research, Elsevier, vol. 65(10), pages 1480-1486.
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