Consumer behavior with Artificial intelligence products

Authors

  • Manman Xue

DOI:

https://doi.org/10.62051/ijgem.v1n1.05

Keywords:

Consumer, Artificial intelligence products, Online shopping

Abstract

In today's era, science and technology have made rapid progress, which makes the rapid formation of the Internet era, and promotes the wide application of artificial intelligence in the commercial field. With the rapid development of e-commerce, online shopping has become more and more popular, and online shopping has become the way of shopping chosen by more and more people. In the context of the continuous development of artificial intelligence, for the online shopping industry, actively citing artificial intelligence is very beneficial to the development of the industry. However, considering that consumers' acceptance of intelligent customer service is different, this artical will use Technology Acceptance Model to analyze the usefulness and ease of intelligent customer service, and confirm consumers' acceptance of intelligent customer service in the process of online consumption. The remainder of this paper is organized as follows.

Downloads

Download data is not yet available.

References

Arash, V., Ali, A., Sara, Q., et al. (2021). Would you like to shop via mobile app technology? The technology acceptance model, social factors and purchase intention. Australasian Marketing Journal, 29.

Lee, G., Lin, H. (2005) Customer perceptions of e-service quality in online shopping in Bradford. International Journal of Retail & Distribution Management, 33 (2):161-176.

Rupa, R., Bingley, R.P. (2019). Online shopping environments and consumer’s need for touch. Journal of Advances in Management Research, 16 (5): 814-826.

David, G., Elena, K., Detmar, W.S. (2003). Trust and TAM in online shopping: An inte grated model. The Association for Information Systems MIS Quarterly, 27 (1): 51-90

Oscar, C., Christina G.C., Dogan, G. et al. (2023). Customers’ acceptance of artificially intelligent service robots: The influence of trust and culture. International Journal of Information Management, 70:102623.

Faqih, K.A., Jaradat, M.I.R (2015). Assessing the moderating effect of gender differences and individualism-collectivism at individual-level on the adoption of mobile commerce technology: TAM3 perspective. Journal of Retailing & Consumer Services.

Marangunic, N., Granic, A. (2015). Technology acceptance model: a literature review from 1986 to 2013. Information Society, 14 (1): 81-95

Ronny, S., Fazilat, S., Jo, T. (2019). The technology acceptance model (TAM): A meta-analytic structural equation modeling approach to explaining teachers' adoption of digital technology education. Computers and Education, 128:13-35.

Younghwa, L., Kozar, K.A., Larsen, Kai, R.T. (2003). The technology acceptance model: Past, present, and future. Association for Information Systems Communications, 12:50.

Bailey, A.A., Pentina, I., Mishra, A.S. (2017). Mobile payments adoption by US consumers: An extended TAM. International Journal of Retail & Distribution Management, 45 (6):626-640

Chiang, C., Hu, W., Li, Y., et al. (2018) College Park. American Physical Society Physical Review. 97 (12):123526.

Deniz, K., Rob, L., Alia, B. (2015). Re-examining perceived usefulness and ease of use in online booking-The case of Hong Kong online users. International Journal of Contemporary Hospitality Management, 27 (2):185-198.

Downloads

Published

30-12-2023

Issue

Section

Arcicles

How to Cite

Xue, M. (2023). Consumer behavior with Artificial intelligence products. International Journal of Global Economics and Management, 1(1), 29-34. https://doi.org/10.62051/ijgem.v1n1.05