IDEAS home Printed from https://ideas.repec.org/a/eee/joreco/v80y2024ics096969892400225x.html
   My bibliography  Save this article

Intention to adopt services by AI avatar: A protection motivation theory perspective

Author

Listed:
  • Park, Jungkun
  • Yun, Jeewoo
  • Chang, Woondeog

Abstract

Understanding how infection threats, such as COVID-19 affect the adoption of new non-contact services is important for the development and marketing of services that require significant investment. Combining protection motivation theory (PMT) and the technology acceptance model (TAM) with service trust, and including gender and age as control variables, we investigate the factors affecting consumers' intention to adopt new AI avatar services after the peak of the COVID-19 pandemic. Data collection was conducted through an online survey of consumers in the United States for a week. Hypotheses were evaluated using structural equation modeling. The findings show that protection motivation theory variables more significantly influence the acceptance of new services than either the TAM variables or service trust. Furthermore, the threat-appraisal process more strongly influences attitudes and adoption intention toward a recommended protection response than the typical coping-appraisal process. Our new model expands the theory of consumer acceptance of new services by including the PMT perspective in the context of the COVID-19 pandemic. In practice, service providers need to reflect in their marketing strategies to reflect the observation that consumers perceive the severity and vulnerability of external threats: the greater the perceived response efficacy, the greater the adoption of a new service, in a manner that can rival the perceived usefulness and ease of use.

Suggested Citation

  • Park, Jungkun & Yun, Jeewoo & Chang, Woondeog, 2024. "Intention to adopt services by AI avatar: A protection motivation theory perspective," Journal of Retailing and Consumer Services, Elsevier, vol. 80(C).
    • Handle: RePEc:eee:joreco:v:80:y:2024:i:c:s096969892400225x
    DOI: 10.1016/j.jretconser.2024.103929
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S096969892400225X
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.jretconser.2024.103929?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Wu, Linwan, 2019. "Website interactivity may compensate for consumers’ reduced control in E-Commerce," Journal of Retailing and Consumer Services, Elsevier, vol. 49(C), pages 253-266.
    2. Chen, Tong & Razzaq, Amar & Qing, Ping & Cao, Binbin, 2021. "Do you bear to reject them? The effect of anthropomorphism on empathy and consumer preference for unattractive produce," Journal of Retailing and Consumer Services, Elsevier, vol. 61(C).
    3. Fred D. Davis & Richard P. Bagozzi & Paul R. Warshaw, 1989. "User Acceptance of Computer Technology: A Comparison of Two Theoretical Models," Management Science, INFORMS, vol. 35(8), pages 982-1003, August.
    4. Chen, Ching-Fu & White, Christopher & Hsieh, Yi-En, 2020. "The role of consumer participation readiness in automated parcel station usage intentions," Journal of Retailing and Consumer Services, Elsevier, vol. 54(C).
    5. Guthrie, Cameron & Fosso-Wamba, Samuel & Arnaud, Jean Brice, 2021. "Online consumer resilience during a pandemic: An exploratory study of e-commerce behavior before, during and after a COVID-19 lockdown," Journal of Retailing and Consumer Services, Elsevier, vol. 61(C).
    6. Ifinedo, Princely, 2016. "Applying uses and gratifications theory and social influence processes to understand students' pervasive adoption of social networking sites: Perspectives from the Americas," International Journal of Information Management, Elsevier, vol. 36(2), pages 192-206.
    7. Sarkar, Subhro & Chauhan, Sumedha & Khare, Arpita, 2020. "A meta-analysis of antecedents and consequences of trust in mobile commerce," International Journal of Information Management, Elsevier, vol. 50(C), pages 286-301.
    8. Wenting Feng & Rungting Tu & Tim Lu & Zhimin Zhou, 2019. "Understanding forced adoption of self-service technology: the impacts of users’ psychological reactance," Behaviour and Information Technology, Taylor & Francis Journals, vol. 38(8), pages 820-832, August.
    9. Pillai, Rajasshrie & Sivathanu, Brijesh & Dwivedi, Yogesh K., 2020. "Shopping intention at AI-powered automated retail stores (AIPARS)," Journal of Retailing and Consumer Services, Elsevier, vol. 57(C).
    10. Moore, Simon & Bulmer, Sandy & Elms, Jonathan, 2022. "The social significance of AI in retail on customer experience and shopping practices," Journal of Retailing and Consumer Services, Elsevier, vol. 64(C).
    11. Pantano, Eleonora & Pizzi, Gabriele, 2020. "Forecasting artificial intelligence on online customer assistance: Evidence from chatbot patents analysis," Journal of Retailing and Consumer Services, Elsevier, vol. 55(C).
    12. Yang, Kiseol, 2012. "Consumer technology traits in determining mobile shopping adoption: An application of the extended theory of planned behavior," Journal of Retailing and Consumer Services, Elsevier, vol. 19(5), pages 484-491.
    13. Tunner, John Jr. & Day, Ellen & Crask, Melvin R., 1989. "Protection motivation theory : An extension of fear appeals theory in communication," Journal of Business Research, Elsevier, vol. 19(4), pages 267-276, December.
    14. Wang, Xueqin & Wong, Yiik Diew & Sun, Shanshan & Yuen, Kum Fai, 2022. "An investigation of self-service technology usage during the COVID-19 pandemic: The changing perceptions of ‘self’ and technologies," Technology in Society, Elsevier, vol. 70(C).
    15. Sheppard, Blair H & Hartwick, Jon & Warshaw, Paul R, 1988. "The Theory of Reasoned Action: A Meta-analysis of Past Research with Recommendations for Modifications and Future Research," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 15(3), pages 325-343, December.
    16. Rinta-Kahila, Tapani & Penttinen, Esko & Kumar, Ashish & Janakiraman, Ramkumar, 2021. "Customer reactions to self-checkout discontinuance," Journal of Retailing and Consumer Services, Elsevier, vol. 61(C).
    17. D. Harrison McKnight & Vivek Choudhury & Charles Kacmar, 2002. "Developing and Validating Trust Measures for e-Commerce: An Integrative Typology," Information Systems Research, INFORMS, vol. 13(3), pages 334-359, September.
    18. Wang, Qingfeng & Sun, Xu, 2016. "Investigating gameplay intention of the elderly using an Extended Technology Acceptance Model (ETAM)," Technological Forecasting and Social Change, Elsevier, vol. 107(C), pages 59-68.
    19. 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.
    20. Shirley Taylor & Peter A. Todd, 1995. "Understanding Information Technology Usage: A Test of Competing Models," Information Systems Research, INFORMS, vol. 6(2), pages 144-176, June.
    21. Moon, Youngme, 2000. "Intimate Exchanges: Using Computers to Elicit Self-Disclosure from Consumers," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 26(4), pages 323-339, March.
    22. Silva, Emmanuel Sirimal & Bonetti, Francesca, 2021. "Digital humans in fashion: Will consumers interact?," Journal of Retailing and Consumer Services, Elsevier, vol. 60(C).
    23. Chong, Terrence & Yu, Ting & Keeling, Debbie Isobel & de Ruyter, Ko, 2021. "AI-chatbots on the services frontline addressing the challenges and opportunities of agency," Journal of Retailing and Consumer Services, Elsevier, vol. 63(C).
    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. Viswanath Venkatesh, 2000. "Determinants of Perceived Ease of Use: Integrating Control, Intrinsic Motivation, and Emotion into the Technology Acceptance Model," Information Systems Research, INFORMS, vol. 11(4), pages 342-365, December.
    2. Nasser Hamidi & Tahmineh Torabi Rad & Alireza Jahany, 2012. "Evaluation Of Factors Influencing Tendency Towards E- Banking In Bank Customers," Far East Journal of Marketing and Management, Far East Research Centre, vol. 2(3), pages 25-42, August.
    3. Maduku, Daniel K. & Mpinganjira, Mercy & Rana, Nripendra P. & Thusi, Philile & Ledikwe, Aobakwe & Mkhize, Njabulo Happy-boy, 2023. "Assessing customer passion, commitment, and word-of-mouth intentions in digital assistant usage: The moderating role of technology anxiety," Journal of Retailing and Consumer Services, Elsevier, vol. 71(C).
    4. Christopher R. Plouffe & John S. Hulland & Mark Vandenbosch, 2001. "Research Report: Richness Versus Parsimony in Modeling Technology Adoption Decisions—Understanding Merchant Adoption of a Smart Card-Based Payment System," Information Systems Research, INFORMS, vol. 12(2), pages 208-222, June.
    5. Sung S. Kim & Naresh K. Malhotra, 2005. "A Longitudinal Model of Continued IS Use: An Integrative View of Four Mechanisms Underlying Postadoption Phenomena," Management Science, INFORMS, vol. 51(5), pages 741-755, May.
    6. 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.
    7. Albayati, Hayder & Kim, Suk Kyoung & Rho, Jae Jeung, 2020. "Accepting financial transactions using blockchain technology and cryptocurrency: A customer perspective approach," Technology in Society, Elsevier, vol. 62(C).
    8. Nedra, Bahri-Ammari & Hadhri, Walid & Mezrani, Mariem, 2019. "Determinants of customers' intentions to use hedonic networks: The case of Instagram," Journal of Retailing and Consumer Services, Elsevier, vol. 46(C), pages 21-32.
    9. Paul Juinn Bing Tan, 2013. "Applying the UTAUT to Understand Factors Affecting the Use of English E-Learning Websites in Taiwan," SAGE Open, , vol. 3(4), pages 21582440135, October.
    10. Subero-Navarro, à urea & Pelegrín-Borondo, Jorge & Reinares-Lara, Eva & Olarte-Pascual, Cristina, 2022. "Proposal for modeling social robot acceptance by retail customers: CAN model + technophobia," Journal of Retailing and Consumer Services, Elsevier, vol. 64(C).
    11. Mariani, Marcello M. & Ek Styven, Maria & Teulon, Fréderic, 2021. "Explaining the intention to use digital personal data stores: An empirical study," Technological Forecasting and Social Change, Elsevier, vol. 166(C).
    12. Kulviwat, Songpol & Bruner II, Gordon C. & Al-Shuridah, Obaid, 2009. "The role of social influence on adoption of high tech innovations: The moderating effect of public/private consumption," Journal of Business Research, Elsevier, vol. 62(7), pages 706-712, July.
    13. Konietzny, Jirka & Caruana, Albert & Cassar, Mario L., 2018. "Fun and fair, and I don’t care: The role of enjoyment, fairness and subjective norms on online gambling intentions," Journal of Retailing and Consumer Services, Elsevier, vol. 44(C), pages 91-99.
    14. Wen-Lung Shiau & Yogesh K. Dwivedi, 2013. "Citation and co-citation analysis to identify core and emerging knowledge in electronic commerce research," Scientometrics, Springer;Akadémiai Kiadó, vol. 94(3), pages 1317-1337, March.
    15. Venkatesh, Viswanath & Morris, Michael G. & Ackerman, Phillip L., 2000. "A Longitudinal Field Investigation of Gender Differences in Individual Technology Adoption Decision-Making Processes," Organizational Behavior and Human Decision Processes, Elsevier, vol. 83(1), pages 33-60, September.
    16. Borhan, Muhamad Nazri & Ibrahim, Ahmad Nazrul Hakimi & Miskeen, Manssour A. Abdulasalm, 2019. "Extending the theory of planned behaviour to predict the intention to take the new high-speed rail for intercity travel in Libya: Assessment of the influence of novelty seeking, trust and external inf," Transportation Research Part A: Policy and Practice, Elsevier, vol. 130(C), pages 373-384.
    17. Sara Moussawi & Marios Koufaris & Raquel Benbunan-Fich, 2021. "How perceptions of intelligence and anthropomorphism affect adoption of personal intelligent agents," Electronic Markets, Springer;IIM University of St. Gallen, vol. 31(2), pages 343-364, June.
    18. Nistor, Cristian, 2013. "A conceptual model for the use of social media in companies," MPRA Paper 44224, University Library of Munich, Germany.
    19. Sanjeev Verma, 2015. "Harnessing the Benefit of Social Networking Sites for Intentional Social Action: Determinants and Challenges," Vision, , vol. 19(2), pages 104-111, June.
    20. Muhammad Ali & Syed Ali Raza & Chin-Hong Puah & Mohd Zaini Abd Karim, 2017. "Islamic home financing in Pakistan: a SEM-based approach using modified TPB model," Housing Studies, Taylor & Francis Journals, vol. 32(8), pages 1156-1177, November.

    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:eee:joreco:v:80:y:2024:i:c:s096969892400225x. 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: Catherine Liu (email available below). General contact details of provider: https://www.journals.elsevier.com/journal-of-retailing-and-consumer-services .

    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.