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The convenience of shopping via voice AI: Introducing AIDM

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  • Klaus, Phil
  • Zaichkowsky, Judith Lynne

Abstract

The purpose of this paper is to propose an updated view of consumer choice based on AI and inherent convenience addiction to smart speakers. Following the MacInnis framework for developing conceptual contributions of summarization, integration, and delineation, we review the current consumer decision-making literature and theory to demonstrate consumers' increasing tendency to outsource decisions to AI. Today's customers value convenience: the less time and effort they spend on a purchase, the better they perceive the transaction. AI is taking convenience to higher levels for consumers as they outsource their decisions to bots and inherent algorithms. This is particularly accurate for low-involvement everyday purchases. Our study's contribution is fourfold. First, we introduce a new model of AI-influenced decision-making (AIDM) processes. Second, our conceptual model suggests that managers need to change their interpretation of their customers' decision-making-processes in the new, AI-influenced marketplace. The shift in consumers' behavior toward reliance on home voice bots for purchase has significant implications for the retail sector. Third, our model differentiates between high and low involvement AI-influenced decision-making processes. Fourth, our study highlights how branding as we know it is challenged in an AI-dominated environment.

Suggested Citation

  • Klaus, Phil & Zaichkowsky, Judith Lynne, 2022. "The convenience of shopping via voice AI: Introducing AIDM," Journal of Retailing and Consumer Services, Elsevier, vol. 65(C).
    • Handle: RePEc:eee:joreco:v:65:y:2022:i:c:s0969698921000564
    DOI: 10.1016/j.jretconser.2021.102490
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    1. Poushneh, Atieh, 2021. "Impact of auditory sense on trust and brand affect through auditory social interaction and control," Journal of Retailing and Consumer Services, Elsevier, vol. 58(C).
    2. Reinartz, Werner & Wiegand, Nico & Imschloss, Monika, 2019. "The impact of digital transformation on the retailing value chain," International Journal of Research in Marketing, Elsevier, vol. 36(3), pages 350-366.
    3. Hartley, Janet L. & Sawaya, William J., 2019. "Tortoise, not the hare: Digital transformation of supply chain business processes," Business Horizons, Elsevier, vol. 62(6), pages 707-715.
    4. Jonas Foehr & Claas Christian Germelmann, 2020. "Alexa, Can I Trust You? Exploring Consumer Paths to Trust in Smart Voice-Interaction Technologies," Journal of the Association for Consumer Research, University of Chicago Press, vol. 5(2), pages 181-205.
    5. Heckman, James J. & Kautz, Tim, 2012. "Hard evidence on soft skills," Labour Economics, Elsevier, vol. 19(4), pages 451-464.
    6. Feng Zhu & Qihong Liu, 2018. "Competing with complementors: An empirical look at Amazon.com," Strategic Management Journal, Wiley Blackwell, vol. 39(10), pages 2618-2642, October.
    7. Hoyer, Wayne D, 1984. "An Examination of Consumer Decision Making for a Common Repeat Purchase Product," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 11(3), pages 822-829, December.
    8. Michael D. Smith & Erik Brynjolfsson, 2001. "Consumer Decision-making at an Internet Shopbot: Brand Still Matters," NBER Chapters, in: E-commerce, pages 541-558, National Bureau of Economic Research, Inc.
    9. Shugan, Steven M, 1980. "The Cost of Thinking," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 7(2), pages 99-111, Se.
    10. Duarte, Paulo & Costa e Silva, Susana & Ferreira, Margarida Bernardo, 2018. "How convenient is it? Delivering online shopping convenience to enhance customer satisfaction and encourage e-WOM," Journal of Retailing and Consumer Services, Elsevier, vol. 44(C), pages 161-169.
    11. Michael D. Smith & Erik Brynjolfsson, 2001. "Consumer Decision-making at an Internet Shopbot: Brand Still Matters," NBER Chapters, in: E-commerce, pages 541-558, National Bureau of Economic Research, Inc.
    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. Michael Klassen & Pola Gupta & Matthew P. Bunker, 2009. "Comparison shopping on the internet," International Journal of Business Information Systems, Inderscience Enterprises Ltd, vol. 4(5), pages 564-580.
    14. Kim, Chung K. & Lavack, Anne M. & Smith, Margo, 2001. "Consumer evaluation of vertical brand extensions and core brands," Journal of Business Research, Elsevier, vol. 52(3), pages 211-222, June.
    15. Klaus, Philipp ‘Phil’, 2020. "The end of the world as we know it? The influence of online channels on the luxury customer experience," Journal of Retailing and Consumer Services, Elsevier, vol. 57(C).
    16. Gursoy, Dogan & Chi, Oscar Hengxuan & Lu, Lu & Nunkoo, Robin, 2019. "Consumers acceptance of artificially intelligent (AI) device use in service delivery," International Journal of Information Management, Elsevier, vol. 49(C), pages 157-169.
    17. Campbell, Colin & Sands, Sean & Ferraro, Carla & Tsao, Hsiu-Yuan (Jody) & Mavrommatis, Alexis, 2020. "From data to action: How marketers can leverage AI," Business Horizons, Elsevier, vol. 63(2), pages 227-243.
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    Cited by:

    1. Park, Jeongeun & Yang, Donguk & Kim, Ha Young, 2023. "Text mining-based four-step framework for smart speaker product improvement and sales planning," Journal of Retailing and Consumer Services, Elsevier, vol. 71(C).
    2. Meena, Rahul & Sarabhai, Samar, 2023. "Extrinsic and intrinsic motivators for usage continuance of hedonic mobile apps," Journal of Retailing and Consumer Services, Elsevier, vol. 71(C).
    3. Kim, Woo Bin & Xie, Jiali & Choo, Ho Jung, 2023. "Role of perceived benefits of online shopping festival in vietnam: Differences between millennials and generation Z," Journal of Retailing and Consumer Services, Elsevier, vol. 75(C).
    4. Chekembayeva, Gaukhar & Garaus, Marion & Schmidt, Orsolya, 2023. "The role of time convenience and (anticipated) emotions in AR mobile retailing application adoption," Journal of Retailing and Consumer Services, Elsevier, vol. 72(C).
    5. Guerreiro, João & Loureiro, Sandra Maria Correia, 2023. "I am attracted to my Cool Smart Assistant! Analyzing Attachment-Aversion in AI-Human Relationships," Journal of Business Research, Elsevier, vol. 161(C).
    6. Aw, Eugene Cheng-Xi & Tan, Garry Wei-Han & Cham, Tat-Huei & Raman, Ramakrishnan & Ooi, Keng-Boon, 2022. "Alexa, what's on my shopping list? Transforming customer experience with digital voice assistants," Technological Forecasting and Social Change, Elsevier, vol. 180(C).

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