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Shopping with Voice Assistants: How Empathy Affects Individual and Family Decision-Making Outcomes

Author

Listed:
  • Alex Mari

    (Department of Business Administration, University of Zurich)

  • Andreina Mandelli

    (SDA Bocconi School of Management, Bocconi University, Milano)

  • René Algesheimer

    (Department of Business Administration, University of Zurich)

Abstract

Artificial intelligence (AI)-enabled voice assistants (VAs) such as Amazon Alexa increasingly assist shopping decisions and exhibit empathic behavior. The advancement of empathic AI raises concerns about machines nudging consumers into purchasing undesired or unnecessary products. Yet, it is unclear how the machine’s empathic behavior affects consumer responses and decision-making outcomes during voice-enabled shopping. This article draws from the service robot acceptance model (sRAM) and social response theory (SRT) and presents an individual-session experiment where families (vs. individuals) complete actual shopping tasks using an ad-hoc Alexa app featuring high (vs. standard) empathic capabilities. We apply the experimental conditions as moderators to the structural model, bridging selected functional, social-emotional, and relational variables. Our framework collocates affective empathy, explicates the bases of consumers’ beliefs, and predicts behavioral outcomes. Findings demonstrate (i) an increase in consumers’ perceptions, beliefs, and adoption intentions with empathic Alexa, (ii) a positive response to empathic Alexa holding constant in family settings, and (iii) an interaction effect only on the functional model dimensions whereby families show greater responses to empathic Alexa while individuals to standard Alexa.

Suggested Citation

  • Alex Mari & Andreina Mandelli & René Algesheimer, 2023. "Shopping with Voice Assistants: How Empathy Affects Individual and Family Decision-Making Outcomes," Working Papers 399, University of Zurich, Department of Business Administration (IBW).
    • Handle: RePEc:zrh:wpaper:399
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    References listed on IDEAS

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    1. Michael Ahearne & Yashar Atefi & Son K. Lam & Mohsen Pourmasoudi, 2022. "The future of buyer–seller interactions: a conceptual framework and research agenda," Journal of the Academy of Marketing Science, Springer, vol. 50(1), pages 22-45, January.
    2. Benedict G. C. Dellaert & Suzanne B. Shu & Theo A. Arentze & Tom Baker & Kristin Diehl & Bas Donkers & Nathanael J. Fast & Gerald Häubl & Heidi Johnson & Uma R. Karmarkar & Harmen Oppewal & Bernd H. S, 2020. "Consumer decisions with artificially intelligent voice assistants," Marketing Letters, Springer, vol. 31(4), pages 335-347, December.
    3. Libai, Barak & Bart, Yakov & Gensler, Sonja & Hofacker, Charles F. & Kaplan, Andreas & Kötterheinrich, Kim & Kroll, Eike Benjamin, 2020. "Brave New World? On AI and the Management of Customer Relationships," Journal of Interactive Marketing, Elsevier, vol. 51(C), pages 44-56.
    4. Yogesh K. Dwivedi & Nripendra P. Rana & Anand Jeyaraj & Marc Clement & Michael D. Williams, 2019. "Re-examining the Unified Theory of Acceptance and Use of Technology (UTAUT): Towards a Revised Theoretical Model," Information Systems Frontiers, Springer, vol. 21(3), pages 719-734, June.
    5. Aaker, Jennifer L & Williams, Patti, 1998. "Empathy versus Pride: The Influence of Emotional Appeals across Cultures," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 25(3), pages 241-261, December.
    6. Berkeley J. Dietvorst & Joseph P. Simmons & Cade Massey, 2018. "Overcoming Algorithm Aversion: People Will Use Imperfect Algorithms If They Can (Even Slightly) Modify Them," Management Science, INFORMS, vol. 64(3), pages 1155-1170, March.
    7. Gefen, David & Straub, Detmar W., 2004. "Consumer trust in B2C e-Commerce and the importance of social presence: experiments in e-Products and e-Services," Omega, Elsevier, vol. 32(6), pages 407-424, December.
    8. Stock, Ruth & Hoyer, Wayne, 2005. "An Attitude-Behavior Model of Salespeople’s Customer Orientation," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 60479, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    9. Nanda Kumar & Izak Benbasat, 2006. "Research Note: The Influence of Recommendations and Consumer Reviews on Evaluations of Websites," Information Systems Research, INFORMS, vol. 17(4), pages 425-439, December.
    10. Arun Rai, 2020. "Explainable AI: from black box to glass box," Journal of the Academy of Marketing Science, Springer, vol. 48(1), pages 137-141, January.
    11. 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.
    12. Xueming Luo & Siliang Tong & Zheng Fang & Zhe Qu, 2019. "Frontiers: Machines vs. Humans: The Impact of Artificial Intelligence Chatbot Disclosure on Customer Purchases," Marketing Science, INFORMS, vol. 38(6), pages 937-947, November.
    13. Viswanath Venkatesh & Fred D. Davis, 2000. "A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies," Management Science, INFORMS, vol. 46(2), pages 186-204, February.
    14. de Bellis, Emanuel & Venkataramani Johar, Gita, 2020. "Autonomous Shopping Systems: Identifying and Overcoming Barriers to Consumer Adoption," Journal of Retailing, Elsevier, vol. 96(1), pages 74-87.
    15. 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.
    16. Kiljae Lee & Kyung Young Lee & Lorn Sheehan, 2020. "Hey Alexa! A Magic Spell of Social Glue?: Sharing a Smart Voice Assistant Speaker and Its Impact on Users’ Perception of Group Harmony," Information Systems Frontiers, Springer, vol. 22(3), pages 563-583, June.
    17. Stock, Ruth & Hoyer, Wayne, 2005. "An Attitude-Behavior Model of Salespeople’s Customer Orientation," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 35542, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
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    More about this item

    Keywords

    Voice assistant; Voice commerce; Empathy; Shopping behavior; Service robot acceptance model; Social response theory; Voice app;
    All these keywords.

    JEL classification:

    • E24 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Employment; Unemployment; Wages; Intergenerational Income Distribution; Aggregate Human Capital; Aggregate Labor Productivity
    • J01 - Labor and Demographic Economics - - General - - - Labor Economics: General
    • J21 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Force and Employment, Size, and Structure
    • L83 - Industrial Organization - - Industry Studies: Services - - - Sports; Gambling; Restaurants; Recreation; Tourism

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