Affiliation:
1. Department of Information Systems and Computing, Brunel University London, Kingston Lane, Uxbridge, Middlesex UB8 3FG, United Kingdom
Abstract
Several models have been developed for understanding and predicting user acceptance of Information Technology (IT). The study presents a meta-analysis of past findings for five determinants of user acceptance of IT. We analyzed the relative strength and impact of the relationship between perceived usefulness, perceived ease of use, subjective norms, facilitating conditions and computer self-efficacy for IT user acceptance in organizations. Results of the meta-analysis confirmed the significance of all five factors on user acceptance behavior. In addition, the meta-analysis moderator effect findings showed that perceived usefulness and perceived ease of use were the strongest predictors for IT user acceptance.
Publisher
World Scientific Pub Co Pte Lt
Subject
Management of Technology and Innovation
Cited by
2 articles.
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1. User Acceptance of Technology;International Journal of Electronic Government Research;2020-07
2. A Conceptual Model for the Organizational Adoption of Information System Security Innovations;Security, Privacy, and Forensics Issues in Big Data;2020