Innovation and Technology Adoption Models

Abstract

Innovation and technology adoption models play a critical role in understanding how individuals, organizations, and societies embrace new technologies. As digital transformation accelerates, these models help scholars and practitioners explain adoption behaviors, identify barriers, and design strategies for effective implementation. This paper reviews 25 foundational and contemporary sources on innovation diffusion and technology adoption—including the Diffusion of Innovations (DOI), Technology Acceptance Model (TAM), Unified Theory of Acceptance and Use of Technology (UTAUT), Task-Technology Fit (TTF), and Technology–Organization–Environment (TOE) framework. The literature reveals that adoption is influenced by perceived usefulness, ease of use, social factors, compatibility, organizational readiness, environmental pressures, and innovation characteristics. A comparative table highlights differences in assumptions, constructs, and levels of analysis. The analysis demonstrates that modern adoption requires integrating individual, organizational, and environmental perspectives, especially in complex digital ecosystems. The discussion emphasizes challenges such as digital resistance, user heterogeneity, cybersecurity concerns, and rapid technological change. The conclusion argues that future innovation diffusion must consider AI-driven personalization, sociotechnical integration, and multi-level adoption dynamics.