TECHNOLOGY READINESS FOR ARTIFICIAL INTELLIGENCE INFLUENCES INDIVIDUAL’S PURCHASING INTENTION ON SOCIAL MEDIA THROUGH TECHNOLOGY ACCEPTANCE MODEL
DOI:
https://doi.org/10.14456/aamr.2023.3Keywords:
Technology Readiness Index, Technology Acceptance, Purchasing IntentionAbstract
Artificial intelligence role the most essential and influential for digital marketing. For social media, AI is one of the most powerful tools to gain buying intention. This research aims to study the effect of the technology readiness index model to be mediated through the technology acceptance model on purchasing intention. The results showed optimism, innovativeness, and insecurity influence the purchasing intention through perceived usefulness and perceived ease of use.
References
ACU Pay. (2022). 5 Statistics on the use of social media in Thailand 2022. Retrieved from https://acuthai.com/5-statistics-on-the-use-of-social-media-in-thailand-2022/.
AlSoufi, A., & Ali, H. (2014). Customers’ Perception of M-Banking Adoption in Kingdom of Bahrain: An Empirical Assessment of An Extended TAM Model. International Journal of Managing Information Technology, 6(1), 1-13.
Chiu, W., & Cho, H. (2021). The role of technology readiness in individuals' intention to use health and fitness applications: a comparison between users and non-users. Asia Pacific Journal of Marketing and Logistics, 33(3), 807-825.
Davis, F. (1989). Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology. MIS Quarterly, 13(3), 319-340.
Godoe, P., & Johansen, T. (2012). Understanding adoption of new technologies: Technology readiness and technology acceptance as an integrated concept. Journal of European Psychology Students, 3, 38-52.
Hair, J., Anderson, R., Babin, B., & Black, W. (2010). Multivariate Data Analysis: A Global Perspective. New Jersey: Pearson Education.
Hu, L., & Bentler, P. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling: A Multidisciplinary Journal, 6(1), 1-55.
Liu, I., Chen, M., Sun, Y., Wible, D., & Kuo, C. (2010). Extending the TAM model to explore the factors that affect Intention to Use an Online Learning Community. Computers & Education, 54(2), 600-610.
Lin, C., Shih, H., & Sher, P. (2007). Integrating Technology Readiness into Technology Acceptance: The TRAM Model. Psychology & Marketing, 24(7), 641-657.
Loo, R., & Thorpe, K. (2000). Confirmatory Factor Analyses of the Full and Short Versions of the Marlowe-Crowne Social Desirability Scale. The Journal of Social Psychology, 140(5), 628-635.
Parasuraman, A. (2000). Technology Readiness Index (Tri): A Multiple-Item Scale to Measure Readiness to Embrace New Technologies. Journal of Service Research, 2(4), 307-320.
Parasuraman, A., & Colby, C. (2015). An Updated and Streamlined Technology Readiness Index: TRI 2.0. Journal of Service Research, 18(1), 59-74.
Rojas-Méndez, J., Parasuraman, A., & Papadopoulos, N. (2017). Demographics, attitudes, and technology readiness: A cross-cultural analysis and model validation. Marketing Intelligence & Planning, 35(1), 18-39.
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