TRANSFORMING E-COMMERCE: ARTIFICIAL INTELLIGENCE EFFECT ON PURCHASE DECISION AND HAPPINESS

Authors

  • Niwet THAMMA Faculty of Business Administration, Ramkhamhaeng University, Thailand
  • Wanpen ANYWATNAPONG Faculty of Business Administration, Ramkhamhaeng University, Thailand
  • Watcharapong TUNPORNCHAI Faculty of Business Administration, Ramkhamhaeng University, Thailand
  • Chaitat SAETANG Expressway Authority of Thailand, Thailand

DOI:

https://doi.org/10.14456/aamr.2024.13

Keywords:

Artificial Intelligence, Purchase Decision, Happiness Received from AI

Abstract

Artificial intelligence (AI) is poised to revolutionize online shopping, prompting questions about its impact on consumer behavior and experience. This study, grounded in the Technology Acceptance Model (TAM), investigates the influence of AI on both purchase decisions and happiness received from AI among Thai online shoppers. Using data from 300 Shopee and Lazada users, a structural equation model revealed a fascinating interplay between AI-powered features, perceived ease of use, and subsequent outcomes. Perceived ease of use directly bolstered perceived usefulness and intention to use AI, which in turn, significantly amplified purchase decisions and happiness. This suggests that AI features that simplify online shopping not only enhance its utility but also foster positive emotions and increased purchase behavior. These findings offer valuable insights for e-commerce platforms seeking to leverage AI's potential to create more convenient, enjoyable, and ultimately, profitable shopping experiences.

References

Ajiga, D., Ndubuisi, N., Asuzu, O., Owolabi, O., Tubokirifuruar, T., & Adeleye, R. (2024). Ai-Driven Predictive Analytics in Retail: A Review of Emerging Trends and Customer Engagement Strategies. International Journal of Management & Entrepreneurship Research, 6(2), 307-321.

Areiqat, A., Hamdan, A., Alheet, A., & Alareeni, B. (2021). Impact of Artificial Intelligence on E-Commerce Development. In B. Alareeni, A. Hamdan, & I. Elgedawy. (eds.). The Importance of New Technologies and Entrepreneurship in Business Development: In the Context of Economic Diversity in Developing Countries (pp. 571-578). Cham: Springer.

Bansal, R., & Bansal, T. (2023). Impact of Artificial Intelligence on Online Buying Behaviour in E-Commerce. A paper presented at the 2023 International Conference on Advanced Computing & Communication Technologies, Banur, India.

Best, J., & Kahn, J. (2005). Research in Education. 10th ed. London: Pearson.

Davis, F. (1989). Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology. MIS Quarterly, 13(3), 319-340.

Electronic Transactions Development Agency. (2020). Thailand E-Commerce Platform 2020. Retrieved from www.etda.or.th/th/Knowledge-Sharing/e-Commerce/ThailandeCommerceplatform2020.aspx.

Hair, J., Anderson, R., Babin, B., & Black, W. (2010). Multivariate Data Analysis: A Global Perspective. 7th ed. New Jersey: Pearson.

Hu, L., & Bentler, P. (1999). Cutoff Criteria for Fit Indexes in Covariance Structure Analysis: Conventional Criteria versus New Alternatives. Structural Equation Modeling, 6(1), 1-55.

Huang, A., Ozturk, A., Zhang, T., Velasco, E., & Haney, A. (2024). Unpacking AI for hospitality and tourism services: Exploring the role of perceived enjoyment on future use intentions. International Journal of Hospitality Management, 119, 103693.

Jada, I., & Mayayise, T. (2023). The impact of artificial intelligence on organisational cyber security: An outcome of a systematic literature review. Data and Information Management, 25, 100063.

Kline, T. (2005). Psychological Testing: A Practical Approach to Design and Evaluation. New York: SAGE Publications, Inc.

Lakshmi, A., & Jeganathan, K. (2023). The Use of Artificial Intelligence in Addressing Inventory Management Challenges in Manufacturing Industry. European Economics Letters, 13(4), 517-533.

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.

Nagy, S., & Hadjú, N. (2021). Consumer Acceptance of the Use of Artificial Intelligence in Online Shopping: Evidence from Hungary. Amfiteatru Economic, 23(56), 155-173.

Soni, A., & Dubey, S. (2024). The Impact of AI-Powered Chatbots on Customer Satisfaction in E-commerce Marketing (TAM Approach). Journal of Public Relations and Advertising, 3(1), 12-18.

Thamma, N., Anywat-napong, W., Thongprayoon, W., Luepong, P., & Anywatnapong, M. (2023). The Influence of AI Marketing Technology on Online Purchasing Decisions of Household Consumers in Thailand. Journal of Digital Business and Social Science, 9(1), 1-18.

Venkatesh, V., Morris, M., Davis, G., & Davis, F. (2003). User Acceptance of Information Technology: Toward a Unified View. MIS Quarterly, 27(3), 425-478.

We Are Social. (2023). DIGITAL 2023 Your Ultimate Guide to the Evolving Digital World. Retrieved from https://wearesocial.com/uk/blog/2023/01/digital-2023/.

Yee, S. (2022). Usage of Artificial Intelligence in Online Shopping Application: Malaysian Customer Attitude. Bachelor of International Business Thesis, Universiti Tunku Abdul Rahman.

Downloads

Published

2024-03-26

How to Cite

THAMMA, N., ANYWATNAPONG, W., TUNPORNCHAI, W., & SAETANG, C. (2024). TRANSFORMING E-COMMERCE: ARTIFICIAL INTELLIGENCE EFFECT ON PURCHASE DECISION AND HAPPINESS. Asian Administration and Management Review, 7(1), 133–144. https://doi.org/10.14456/aamr.2024.13