Technology Adoption and User Behaviour

Understanding why people choose to adopt—or resist—new technologies is a central challenge in information systems research, where behavioral models like the Technology Acceptance Model attempt to explain how perceived usefulness and ease of use shape decisions to engage with digital tools. Researchers apply these frameworks across contexts ranging from mobile banking to e-commerce, using statistical methods such as partial least squares structural equation modeling to trace how consumer trust, satisfaction, and prior experience translate into actual behavior. The stakes are practical: organizations designing platforms for online shopping or financial services need to know which factors genuinely drive adoption rather than merely correlate with it. Active debates concern whether models developed for desktop software adequately capture mobile contexts, and how trust dynamics shift as AI-driven personalization becomes embedded in everyday transactions.

Works

130,865

Total citations

2,364,506

Keywords

Technology Acceptance ModelInformation SystemsOnline ShoppingPartial Least SquaresConsumer TrustE-commerce