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The influence of perceived costs and perceived benefits on AI-driven interactive recommendation agent value

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  • Juran Kim

Abstract

This study investigates the effects of perceived costs and benefits on the value of an AI-driven recommendation agent (AIRA) by examining an AIRAs influence on the perceived costs and benefits of an information search done during a consumers’ decision-making process. AIRAs use AI-driven algorithms that accelerate and integrate information search, the evaluation of alternatives, and the full decision process by extracting users’ preferences and acting on their behalf. These specialized agents facilitate searches for information or alternatives and offer recommendations to help consumers make decisions. This study contributes to the building of a theoretical model of AI-driven recommendation agent values and provides new resources for AI-driven marketing academics and practitioners.

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  • Juran Kim, 2020. "The influence of perceived costs and perceived benefits on AI-driven interactive recommendation agent value," Journal of Global Scholars of Marketing Science, Taylor & Francis Journals, vol. 30(3), pages 319-333, July.
    • Handle: RePEc:taf:jgsmks:v:30:y:2020:i:3:p:319-333
    DOI: 10.1080/21639159.2020.1775491
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    Cited by:

    1. Whang, Jeong-Bin & Song, Ji Hee & Lee, Jong-Ho & Choi, Boreum, 2022. "Interacting with Chatbots: Message type and consumers' control," Journal of Business Research, Elsevier, vol. 153(C), pages 309-318.
    2. Marek Angowski & Tomasz Kijek & Marcin Lipowski & Ilona Bondos, 2021. "Factors Affecting the Adoption of Photovoltaic Systems in Rural Areas of Poland," Energies, MDPI, vol. 14(17), pages 1-14, August.
    3. Yi, Jisu & Lee, Youseok & Suh, Jungmin & Kim, Sang-Hoon, 2022. "Psychological determinants of non-attendees’ resistance toward performing arts," Journal of Business Research, Elsevier, vol. 149(C), pages 690-699.
    4. Liu, Diyi & Qi, Suntong & Xu, Tiantong, 2023. "In the post-subsidy era: How to encourage mere consumers to become prosumers when subsidy reduced?," Energy Policy, Elsevier, vol. 174(C).
    5. Kim, Jungkeun & Kim, Jeong Hyun & Kim, Changju & Park, Jooyoung, 2023. "Decisions with ChatGPT: Reexamining choice overload in ChatGPT recommendations," Journal of Retailing and Consumer Services, Elsevier, vol. 75(C).

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