IDEAS home Printed from https://ideas.repec.org/a/cmj/networ/y2020i15p57-69.html
   My bibliography  Save this article

Toward A Threshold Model Of Consumer Autonomy For Human-Smart System Interactions: A Qualitative Study

Author

Listed:
  • László SEER

    (Babeș-Bolyai University, Faculty of Economics and Business Administration, Cluj-Napoca)

Abstract

As a consequence of digitalization, several consumer products and services are already functioning as artificial intelligence empowered systems, such as virtual assistants, smart homes and other Internet-of-Things services. These intelligent systems are gradually obtaining agency, autonomy and authority by which can have complex interactions with their environment. In the interaction between these systems and their human consumers the question of the need for consumer autonomy also arises. This research assesses the possible factors determining consumer autonomy, and decision mechanisms influencing the need for more or less individual autonomy in the consumers’ interactions with an intelligent system. Qualitative methodology is used based on the multistage interpretation of six in-depth clinical interviews. Results seem to confirm some facilitating and inhibiting factors of the need for consumer autonomy. The main result consists of the evidence regarding the presence of continuous evaluation and decision-making mechanism of consumers about their need for autonomy in the interaction with an intelligent system.

Suggested Citation

  • László SEER, 2020. "Toward A Threshold Model Of Consumer Autonomy For Human-Smart System Interactions: A Qualitative Study," Network Intelligence Studies, Romanian Foundation for Business Intelligence, Editorial Department, issue 15, pages 57-69, June.
    • Handle: RePEc:cmj:networ:y:2020:i:15:p:57-69
    as

    Download full text from publisher

    File URL: http://seaopenresearch.eu/Journals/articles/NIS_15_6.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Vargo, Stephen L. & Lusch, Robert F., 2017. "Service-dominant logic 2025," International Journal of Research in Marketing, Elsevier, vol. 34(1), pages 46-67.
    2. Russell W. Belk, 2013. "Extended Self in a Digital World," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 40(3), pages 477-500.
    3. Verhoef, Peter C. & Stephen, Andrew T. & Kannan, P.K. & Luo, Xueming & Abhishek, Vibhanshu & Andrews, Michelle & Bart, Yakov & Datta, Hannes & Fong, Nathan & Hoffman, Donna L. & Hu, Mandy Mantian & No, 2017. "Consumer Connectivity in a Complex, Technology-enabled, and Mobile-oriented World with Smart Products," Journal of Interactive Marketing, Elsevier, vol. 40(C), pages 1-8.
    4. Thomas P. Novak & Donna L. Hoffman, 2019. "Relationship journeys in the internet of things: a new framework for understanding interactions between consumers and smart objects," Journal of the Academy of Marketing Science, Springer, vol. 47(2), pages 216-237, March.
    5. Kamen Kamenov, 2011. "Some Aspects of the Behaviour of Informal Economy," Economic Thought journal, Bulgarian Academy of Sciences - Economic Research Institute, issue 7, pages 77-94.
    6. Donna L Hoffman & Thomas P Novak & Eileen FischerEditor & Robert KozinetsAssociate Editor, 2018. "Consumer and Object Experience in the Internet of Things: An Assemblage Theory Approach," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 44(6), pages 1178-1204.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Chiara Bartoli, 2022. "Consumer self-concept and digitalization: what does this mean for brands?," Italian Journal of Marketing, Springer, vol. 2022(4), pages 419-437, December.
    2. Attié, Elodie & Meyer-Waarden, Lars, 2022. "The acceptance and usage of smart connected objects according to adoption stages: an enhanced technology acceptance model integrating the diffusion of innovation, uses and gratification and privacy ca," Technological Forecasting and Social Change, Elsevier, vol. 176(C).
    3. Lucia-Palacios, Laura & Pérez-López, Raúl, 2021. "Effects of Home Voice Assistants' Autonomy on Instrusiveness and Usefulness: Direct, Indirect, and Moderating Effects of Interactivity," Journal of Interactive Marketing, Elsevier, vol. 56(C), pages 41-54.
    4. Paolo Franco, 2023. "Older consumers and technology: A critical systematic literature review," AMS Review, Springer;Academy of Marketing Science, vol. 13(1), pages 92-121, June.
    5. Rust, Roland T., 2020. "The future of marketing," International Journal of Research in Marketing, Elsevier, vol. 37(1), pages 15-26.
    6. Rokonuzzaman, Md & Kim, Kyoungmi (Kate) & Dugar, Kranti Kumar & Fox, Jennine, 2022. "What makes an object smart? Conceptualization, development, and validation of a scale to measure the Smartness of a Thing (SoT)," Journal of Business Research, Elsevier, vol. 141(C), pages 337-354.
    7. Navid Bahmani & Amit Bhatnagar & Dinesh Gauri, 2022. "Hey, Alexa! What attributes of Skills affect firm value?," Journal of the Academy of Marketing Science, Springer, vol. 50(6), pages 1219-1235, November.
    8. 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).
    9. Thomas P. Novak & Donna L. Hoffman, 2019. "Relationship journeys in the internet of things: a new framework for understanding interactions between consumers and smart objects," Journal of the Academy of Marketing Science, Springer, vol. 47(2), pages 216-237, March.
    10. Silvia Biraghi & Rossella Chiara Gambetti & Angela Antonia Beccanulli, 2020. "Achieving cultural relevance in technomediated platforms: instant cultural branding and controversial clicktivism," Italian Journal of Marketing, Springer, vol. 2020(2), pages 163-187, September.
    11. Hope Jensen Schau & Melissa Archpru Akaka, 2021. "From customer journeys to consumption journeys: a consumer culture approach to investigating value creation in practice-embedded consumption," AMS Review, Springer;Academy of Marketing Science, vol. 11(1), pages 9-22, June.
    12. Querci, Ilaria & Monsurrò, Luigi & Peverini, Paolo, 2024. "When anthropomorphism backfires: Anticipation of negative social roles as a source of resistance to smart object adoption," Technovation, Elsevier, vol. 132(C).
    13. Henkens, Bieke & Verleye, Katrien & Larivière, Bart, 2021. "The smarter, the better?! Customer well-being, engagement, and perceptions in smart service systems," International Journal of Research in Marketing, Elsevier, vol. 38(2), pages 425-447.
    14. Lars Meyer-Waarden & Julien Cloarec, 2022. "“Baby, you can drive my car”: Psychological antecedents that drive consumers’ adoption of AI-powered autonomous vehicles," Post-Print hal-03385891, HAL.
    15. Volkmar, Gioia & Fischer, Peter M. & Reinecke, Sven, 2022. "Artificial Intelligence and Machine Learning: Exploring drivers, barriers, and future developments in marketing management," Journal of Business Research, Elsevier, vol. 149(C), pages 599-614.
    16. Manis, K.T. & Madhavaram, Sreedhar, 2023. "AI-Enabled marketing capabilities and the hierarchy of capabilities: Conceptualization, proposition development, and research avenues," Journal of Business Research, Elsevier, vol. 157(C).
    17. Azer, Jaylan & Ranaweera, Chatura, 2022. "Former customers’ E-WOM in social media platforms: An investigation of motives, network size and social ties," Journal of Business Research, Elsevier, vol. 146(C), pages 118-133.
    18. Roma, Paolo & Aloini, Davide, 2019. "How does brand-related user-generated content differ across social media? Evidence reloaded," Journal of Business Research, Elsevier, vol. 96(C), pages 322-339.
    19. Hildebrand, Christian & Efthymiou, Fotis & Busquet, Francesc & Hampton, William H. & Hoffman, Donna L. & Novak, Thomas P., 2020. "Voice analytics in business research: Conceptual foundations, acoustic feature extraction, and applications," Journal of Business Research, Elsevier, vol. 121(C), pages 364-374.
    20. Lane Peterson Fronczek & Martin Mende & Maura L. Scott & Gergana Y. Nenkov & Anders Gustafsson, 2023. "Friend or foe? Can anthropomorphizing self-tracking devices backfire on marketers and consumers?," Journal of the Academy of Marketing Science, Springer, vol. 51(5), pages 1075-1097, September.

    More about this item

    Keywords

    Artificial intelligence; Consumer autonomy; Decision making;
    All these keywords.

    JEL classification:

    • M15 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - IT Management
    • M31 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Marketing and Advertising - - - Marketing

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:cmj:networ:y:2020:i:15:p:57-69. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Serghie Dan (email available below). General contact details of provider: https://seaopenresearch.eu/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.