The Role of Technology Acceptance Model (TAM) in E-Commerce Adoption

Abstract

The Technology Acceptance Model (TAM) has been widely utilized to understand user adoption of digital platforms, particularly in the context of e-commerce. This study investigates the relevance of TAM in analyzing consumer behavior and acceptance of online shopping platforms by extending the model through the integration of TAM2 and the Unified Theory of Acceptance and Use of Technology (UTAUT). These extended models allow for a deeper examination of additional influencing factors such as social influence, perceived risk, user experience, and facilitating conditions. Given the rapid growth of digital transactions and the increasing reliance on e-commerce, understanding consumer attitudes and behaviors is critical for businesses and policymakers. This study also considers the impact of emerging technologies such as artificial intelligence, blockchain, and personalized recommendation systems on enhancing user trust, engagement, and perceived ease of use.
Furthermore, the research identifies several barriers to e-commerce adoption, including cybersecurity concerns, lack of technological awareness, and the persistence of the digital divide. By synthesizing both theoretical perspectives and empirical findings, the paper presents a comprehensive framework for understanding consumer interaction with digital commerce platforms. The findings offer practical implications for e-commerce firms, marketers, and policymakers, emphasizing the need to design secure, accessible, and user-friendly online platforms. Enhancing features such as trust, transaction security, and usability can significantly improve user adoption and satisfaction. This study contributes to the existing literature on technology adoption by integrating advanced theoretical models with real-world applications in the evolving landscape of digital commerce.