Technology Adoption and User Behaviour

Understanding why people choose to use—or avoid—a new technology is at the heart of research on technology adoption and user behaviour. Scholars in this area examine the psychological, social, and structural factors that shape whether someone accepts a system like mobile banking or an e-commerce platform, often drawing on frameworks such as the Technology Acceptance Model and statistical methods like partial least squares structural equation modeling to test how perceived usefulness, trust, and satisfaction interact. The work matters because organizations and policymakers need reliable models to predict adoption failures before they become costly, and because gaps in digital participation often track existing inequalities. Active debates centre on how well adoption models developed in one cultural or technological context transfer to others, and on whether the rapid pace of interface change—think conversational AI and embedded finance—requires fundamentally new theoretical foundations or simply refinements to existing ones.

Works

132,447

Total citations

2,396,821

Keywords

Technology Acceptance ModelInformation SystemsOnline ShoppingPartial Least SquaresConsumer TrustE-commerce