An empirical evaluation of technology acceptance model for Artificial Intelligence in E-commerce

Chenxing Wang; Sayed Fayaz Ahmad; Ahmad Y A Bani Ahmad Ayassrah; Emad Mahrous Awwad; Muhammad Irshad; Yasser A Ali; Muna Al-Razgan; Yasser Khan; Heesup Han

doi:10.1016/j.heliyon.2023.e18349

An empirical evaluation of technology acceptance model for Artificial Intelligence in E-commerce

Heliyon. 2023 Jul 17;9(8):e18349. doi: 10.1016/j.heliyon.2023.e18349. eCollection 2023 Aug.

Authors

Chenxing Wang¹, Sayed Fayaz Ahmad², Ahmad Y A Bani Ahmad Ayassrah³, Emad Mahrous Awwad⁴, Muhammad Irshad⁵, Yasser A Ali⁶, Muna Al-Razgan⁷, Yasser Khan⁸, Heesup Han⁹

Affiliations

¹ Changchun Tongtai Corporation Management Services Co. Ltd, China.
² Department of Engineering Management, Institute of Business Management, Karachi 75190, Pakistan.
³ Department of Financial and Accounting Science, Middle East University, Amman 11121, Jordan.
⁴ Department of Electrical Engineering, College of Engineering, King Saud University, Riyadh 11421, Saudi Arabia.
⁵ Lecturer, Department of Management Sciences, University of Gwadar, Pakistan.
⁶ Department of Information Systems, College of Computer and Information Sciences, King Saud University, Riyadh 11543, Saudi Arabia.
⁷ Department of Software Engineering, College of Computer and Information Sciences, King Saud University, Riyadh 11495, Saudi Arabia.
⁸ Iqra National University, Peshawar, Pakistan.
⁹ Professor Sejong University, Seoul, South Korea.

Abstract

Artificial Intelligence (AI) has become essential to Electronic-Commerce technology over the past decades. Its fast growth has changed the way consumers do online shopping. Using the Technology Acceptance Model (TAM) as a theoretical framework, this research examines how AI can be made more effective and profitable in e-commerce and how entrepreneurs can make AI technology to assist in achieving their business goals. In this regard, an online survey was conducted from the online purchasers of e-commerce firms. The Partial Least Square (PLS) Smart was used to examine the data. The broadly used TAM was identified as an appropriate hypothetical model for studying the acceptance of AI technology in e-commerce. The findings of this study show that Subjective Norms positively impact Perceived Usefulness (PU) and Pursued Ease of Use (PEU), trust has a positive effect on PEU, and PEU positively impacts PU and attitudes toward use. Similarly, PU also has a positive effect on attitudes toward use and intention to use. Furthermore, the findings do not support the impact of Trust on PU and attitudes towards behavioural intention to use. Lastly, behavioural intention to use positively impacted the actual use of AI technology. This study adds theoretical and practical knowledge for adopting the TAM model in the E-commerce sector. It helps entrepreneurs to implement the TAM model in their business to use AI in a better and more appropriate way.

Keywords: Actual use; Artificial intelligence; Attitudes towards use; Behavioral intention to use; Perceived ease of use; Perceived usefulness; Technology acceptance model; e-commerce.