INSIGHTS INTO TECHNOLOGY ADOPTION: A SYSTEMATIC REVIEW OF FRAMEWORK, VARIABLES AND ITEMS

Abstract

The purpose of this study is to provide a comprehensive analysis of key variables and items in technology adoption frameworks. The study aims to identify strengths and weaknesses of different frameworks and provide recommendations for future research and best practices for implementation of technology adoption frameworks. The literature review reveals that the most commonly used technology adoption frameworks are the Technology Acceptance Model (TAM), Unified Theory of Acceptance and Use of Technology (UTAUT), Technology-Organization-Environment (TOE) Framework, Task Technology Fit (TTF), and Innovation Diffusion Theory (IDT). The study is significant as it will provide insights into factors influencing technology adoption and help researchers and practitioners better understand the adoption process. The study utilized a systematic literature review approach and identified 50 relevant articles published between 2012 and 2023. The findings revealed several key variables and items in technology adoption frameworks, including perceived usefulness, perceived ease of use, social influence, facilitating conditions, behavioral intention, organizational context, task compatibility, user skills, user involvement, communication, and innovation characteristics. The comparison of variables and items across frameworks highlighted overlaps and unique aspects of each framework, with some frameworks being more comprehensive than others. The study’s findings have practical implications for organizations considering technology adoption, and can contribute to the development of more effective technology adoption frameworks that address the complexities of adoption in various contexts.