User acceptance determinants of information technology innovation in organizations

Abstract

Several models have been developed for understanding and predicting user acceptance of IT. Research examining the factors influencing IT user acceptance has produced contradictory outcomes. The study presents a meta-analysis of past findings for five determinants of user acceptance of IT. We analysed the relative strength and impact of the relationship between perceived usefulness, perceived ease of use, subjective norms, facilitating conditions and computer self-efficacy for user acceptance of IT in organizations. Results of the meta-analysis confirmed the significance of all five factors on user acceptance behaviour and found that perceived usefulness and perceived ease of use were the strongest predictors of IT user acceptance.