Abstract
This study aimed to examine the consumers’ intention to accept artificial intelligence (AI) based products/services. Considering that AI-based products/services can be perceived as a radical technological revolution, we analyzed the effect of consumers’ overall self-efficacy of innovative technologies on their intention to accept AI-based products/services. In addition, the mediating effects of consumers’ positive perception of the intelligent information society and the usefulness of AI technology were verified. The results of an analysis of 6,073 adults revealed that consumers’ acceptance of innovative technologies was positively associated with consumers’ intention to accept AI-based products/services. In addition, consumers’ positive perception of the intelligent information society had a partial mediating effect between the technology self-efficacy and their intention to accept AI-based products/services; the perceived usefulness of AI technology also had a partial mediating effect between the two variables. Moreover, double mediation effects of positive perception of the intelligent information society and perceived usefulness of AI technology were significant in the relationship between technology self-efficacy and their intention to accept AI-based products/services. This means that the more positively the consumers think about the intelligent information society, the higher the perception of AI technology being useful, and ultimately the higher the intention to accept AI-based products/services. The findings of this study confirm that consumers’ overall technology self-efficacy not only forms a positive perception of the intelligent information society but also makes them more receptive to the application of new AI technology.
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References
Guk, K.W.: Examples of applications by AI technology and industry sectors. Weekly Technol. Trends 20, 15–27 (2019)
Li, X., Lim, H., Yeo, H., Hwang, H.: Text mining of online news, social media, and consumer review on artificial intelligence service. Fam. Environ. Res. 59(1), 23–43 (2021)
Puntoni, S., Reczek, R.W., Giesler, M., Botti, S.: Consumers and artificial intelligence: an experiential perspective. J. Mark. 85(1), 131–151 (2021)
Hong, J.W.: I was born to love AI: the influence of social status on AI self-efficacy and intentions to use AI. Int. J. Commun. 16, 172–191 (2022)
Kim, B.S., Woo, H.J.: A study on the intention to use AI speakers: focusing on extended technology acceptance model. J. Korea Contents Assoc. 19(9), 1–10 (2019)
Jeon, S., Lee, J., Lee, J.: A study on the users intention to adopt an intelligent service: focusing on the factors affecting the perceived necessity of conversational AI service. J. Korea Technol. Innov. Soc. 22(2), 242–264 (2019)
Jung, J., Huh, J., Park, H., Shin, B.: A study on acceptance factors and market segmentation of smart device: focused on UTAUT and personal innovativeness. Korean J. Bus. Adm. 31(1), 27–47 (2018)
Bandura, A.: Self-efficacy: toward a unifying theory of behavioral change. Psychol. Rev. 84(2), 191–215 (1977)
Bandura, A.: Self-efficacy mechanism in human agency. Am. Psychol. 37(2), 122–147 (1982)
Bandura, A., Freeman, W.H., Lightsey, R.: Self-Efficacy: The Exercise of Control. W. H. Freeman, New York (1999)
Zhao, X., Mattila, A.S., Tao, L.S.E.: The role of post-training self-efficacy in customers’ use of self service technologies. Int. J. Serv. Ind. Manag. 19(4), 492–505 (2008)
Wang, C., Harris, J., Patterson, P.: The roles of habit, self-efficacy, and satisfaction in driving continued use of self-service technologies: a longitudinal study. J. Serv. Res. 16(3), 400–414 (2013)
Zhang, X., Han, X., Dang, Y., Meng, F., Guo, X., Lin, J.: User acceptance of mobile health services from users’ perspectives: the role of self-efficacy and response-efficacy in technology acceptance. Inform. Health Soc. Care 42(2), 194–206 (2017)
Bakke, S., Henry, R.: Unraveling the mystery of new technology use: an investigation into the interplay of desire for control, computer self-efficacy, and personal innovativeness. AIS Trans. Hum.-Comput. Interact. 7(4), 270–293 (2015)
Jang, D.H.: An exploratory study for the direction and tasks for innovating school system in the intelligent information society. J, Digit. Convergence 15(12), 127–136 (2017)
Han, M.: Analysis of the public’s intention to use the government’s artificial intelligence (AI)-based services: focusing on public values and extended technology acceptance model. J. Korea Contents Assoc. 21(8), 388–402 (2021)
Chae, J.M., Cho, H.S., Lee, J.H.: A study on consumer acceptance toward the commercialized smart clothing. Sci. Emot. Sensibility 12(2), 181–192 (2009)
Ministry of Science and ICT: National Information Society Agency: The Report on the Digital Divide (2019). https://www.nia.or.kr/site/nia_kor/ex/bbs/View.do;jsessionid=43B9A1B6EF6801C538C288E17D435532.2894582dd32606361891?cbIdx=81623&bcIdx=21837&parentSeq=21837
Hayes, A.F.: Introduction to Mediation, Moderation, and Conditional Process Analysis: A Regression-Based Approach. Guilford Publications, New York (2013)
Gilovich, T., Griffin, D., Kahneman, D.: Heuristics and Biases: The Psychology of Intuitive Judgment. Cambridge University Press, Cambridge (2002)
Zweig, J.: Your Money and Your Brain: How the New Science of Neuroeconomics Can Help Make You Rich. Simon and Schuster, New York (2007)
Park, J.H.: Technology innovation policy of renewable energy in Korea from the perspective of transformatice innovation policy. J. Korea Technol. Innov. Soc. 23(2), 234–257 (2020)
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Li, X., Yoon, DW., Ding, Y., Hwang, H. (2022). Consumer Intention to Accept AI-Based Products and Services. In: Stephanidis, C., Antona, M., Ntoa, S., Salvendy, G. (eds) HCI International 2022 – Late Breaking Posters. HCII 2022. Communications in Computer and Information Science, vol 1655. Springer, Cham. https://doi.org/10.1007/978-3-031-19682-9_80
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