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Consumer decisions with artificially intelligent voice assistants

Author

Listed:
  • Benedict G. C. Dellaert

    (Erasmus University
    Monash Business School, Monash University)

  • Suzanne B. Shu

    (Dyson School of Applied Economics and Management, Cornell University)

  • Theo A. Arentze

    (Eindhoven University of Technology)

  • Tom Baker

    (University of Pennsylvania Law School, University of Pennsylvania)

  • Kristin Diehl

    (Marshall School of Business, University of Southern California)

  • Bas Donkers

    (Erasmus University)

  • Nathanael J. Fast

    (Marshall School of Business, University of Southern California)

  • Gerald Häubl

    (Alberta School of Business, University of Alberta)

  • Heidi Johnson

    (Financial Health Network)

  • Uma R. Karmarkar

    (UC San Diego)

  • Harmen Oppewal

    (Monash Business School, Monash University)

  • Bernd H. Schmitt

    (Columbia Business School, Columbia University)

  • Juliana Schroeder

    (Haas School of Business, University of California at Berkeley)

  • Stephen A. Spiller

    (Anderson School of Management, UCLA)

  • Mary Steffel

    (D’Amore-McKim School of Business, Northeastern University)

Abstract

Consumers are widely adopting Artificially Intelligent Voice Assistants (AIVAs). AIVAs now handle many different everyday tasks and are also increasingly assisting consumers with purchasing decisions, making AIVAs a rich topic for marketing researchers. We develop a series of propositions regarding how consumer decision-making processes may change when moved from traditional online purchase environments to AI-powered voice-based dialogs, in the hopes of encouraging further academic thinking and research in this rapidly developing, high impact area of consumer-firm interaction. We also provide suggestions for marketing managers and policymakers on points to pay attention to when they respond to the proposed effects of AIVAs on consumer decisions.

Suggested Citation

  • 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.
    • Handle: RePEc:kap:mktlet:v:31:y:2020:i:4:d:10.1007_s11002-020-09537-5
    DOI: 10.1007/s11002-020-09537-5
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    References listed on IDEAS

    as
    1. Nedungadi, Prakash, 1990. "Recall and Consumer Consideration Sets: Influencing Choice without Altering Brand Evaluations," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 17(3), pages 263-276, December.
    2. Dilip Soman & Mengze Shi, 2003. "Virtual Progress: The Effect of Path Characteristics on Perceptions of Progress and Choice," Management Science, INFORMS, vol. 49(9), pages 1229-1250, September.
    3. Noah Castelo & Bernd Schmitt & Miklos Sarvary, 2019. "Human or Robot? Consumer Responses to Radical Cognitive Enhancement Products," Journal of the Association for Consumer Research, University of Chicago Press, vol. 4(3), pages 217-230.
    4. Harvey, Nigel & Fischer, Ilan, 1997. "Taking Advice: Accepting Help, Improving Judgment, and Sharing Responsibility," Organizational Behavior and Human Decision Processes, Elsevier, vol. 70(2), pages 117-133, May.
    5. Meißner, Martin & Oppewal, Harmen & Huber, Joel, 2020. "Surprising adaptivity to set size changes in multi-attribute repeated choice tasks," Journal of Business Research, Elsevier, vol. 111(C), pages 163-175.
    6. West, Patricia M & Brown, Christina L & Hoch, Stephen J, 1996. "Consumption Vocabulary and Preference Formation," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 23(2), pages 120-135, September.
    7. Theo A. Arentze & Benedict G. C. Dellaert & Caspar G. Chorus, 2015. "Incorporating Mental Representations in Discrete Choice Models of Travel Behavior: Modeling Approach and Empirical Application," Transportation Science, INFORMS, vol. 49(3), pages 577-590, August.
    8. Newman, David T. & Fast, Nathanael J. & Harmon, Derek J., 2020. "When eliminating bias isn’t fair: Algorithmic reductionism and procedural justice in human resource decisions," Organizational Behavior and Human Decision Processes, Elsevier, vol. 160(C), pages 149-167.
    9. Gerald Häubl & Benedict G. C. Dellaert & Bas Donkers, 2010. "Tunnel Vision: Local Behavioral Influences on Consumer Decisions in Product Search," Marketing Science, INFORMS, vol. 29(3), pages 438-455, 05-06.
    10. Diehl, Kristin & Kornish, Laura J & Lynch, John G, Jr, 2003. "Smart Agents: When Lower Search Costs for Quality Information Increase Price Sensitivity," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 30(1), pages 56-71, June.
    11. Mary Steffel & Elanor F Williams & Vicki MorwitzEditor & Andrea MoralesAssociate Editor, 2018. "Delegating Decisions: Recruiting Others to Make Choices We Might Regret," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 44(5), pages 1015-1032.
    12. George Loewenstein & Daylian M. Cain & Sunita Sah, 2011. "The Limits of Transparency: Pitfalls and Potential of Disclosing Conflicts of Interest," American Economic Review, American Economic Association, vol. 101(3), pages 423-428, May.
    13. 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.
    14. Seo Young Kim & Bernd H. Schmitt & Nadia M. Thalmann, 2019. "Eliza in the uncanny valley: anthropomorphizing consumer robots increases their perceived warmth but decreases liking," Marketing Letters, Springer, vol. 30(1), pages 1-12, March.
    15. Gerald Häubl & Valerie Trifts, 2000. "Consumer Decision Making in Online Shopping Environments: The Effects of Interactive Decision Aids," Marketing Science, INFORMS, vol. 19(1), pages 4-21, May.
    Full references (including those not matched with items on IDEAS)

    Citations

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    Cited by:

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    2. Hu, Peng & Gong, Yeming & Lu, Yaobin & Ding, Amy Wenxuan, 2023. "Speaking vs. listening? Balance conversation attributes of voice assistants for better voice marketing," International Journal of Research in Marketing, Elsevier, vol. 40(1), pages 109-127.
    3. Beeler, Lisa & Zablah, Alex R. & Rapp, Adam, 2022. "Ability is in the eye of the beholder: How context and individual factors shape consumer perceptions of digital assistant ability," Journal of Business Research, Elsevier, vol. 148(C), pages 33-46.
    4. Abhijit Guha & Timna Bressgott & Dhruv Grewal & Dominik Mahr & Martin Wetzels & Elisa Schweiger, 2023. "How artificiality and intelligence affect voice assistant evaluations," Journal of the Academy of Marketing Science, Springer, vol. 51(4), pages 843-866, July.
    5. Erik Hermann, 2022. "Leveraging Artificial Intelligence in Marketing for Social Good—An Ethical Perspective," Journal of Business Ethics, Springer, vol. 179(1), pages 43-61, August.
    6. Halbauer, Ingo & Jacob, Saskia & Klarmann, Martin, 2022. "Brand presentation order in voice shopping: Understanding the effects of sequential product presentation," Journal of Retailing, Elsevier, vol. 98(4), pages 759-778.
    7. Kang, Weiyao & Shao, Bingjia, 2023. "The impact of voice assistants’ intelligent attributes on consumer well-being: Findings from PLS-SEM and fsQCA," Journal of Retailing and Consumer Services, Elsevier, vol. 70(C).
    8. Pei Li & Chunmao Wu & Charles Spence, 2023. "Comparing the influence of visual information and the perceived intelligence of voice assistants when shopping for sustainable clothing online," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-12, December.
    9. Margarita Leib & Nils Kobis & Rainer Michael Rilke & Marloes Hagens & Bernd Irlenbusch, 2023. "Corrupted by Algorithms? How AI-generated and Human-written Advice Shape (Dis)honesty," Papers 2301.01954, arXiv.org.
    10. Vlačić, Božidar & Corbo, Leonardo & Costa e Silva, Susana & Dabić, Marina, 2021. "The evolving role of artificial intelligence in marketing: A review and research agenda," Journal of Business Research, Elsevier, vol. 128(C), pages 187-203.

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