Abstract

Information technology-acceptance research has always been a research hotspot. In 2003, Venkatesh established the unified theory of acceptance and use of technology (UTAUT), which pushed information technology-acceptance research to a new climax. This study uses bibliometrics, Bibliometrix, and CiteSpace software to conduct data mining and quantitative analysis on 1694 research papers in the UTAUT in the Web of Science core collection database from 2003 to 2021 (the data update time is 13 August 2021). Combined with a visual bibliometric analysis, this paper makes an in-depth discussion on the UTAUT model from the aspects of research trends, research fields, main research journals, authors/institutions, national or regional cooperation networks, etc. This study comprehensively and systematically shows the evolution track and characteristics of the UTAUT. On this basis, the future development trend of the UTAUT is put forward.

Highlights

  • The rapid development of information technology has penetrated all societies, economies, work, and life, causing significant changes in the social economy, mode of production, and consumption structure

  • Average citations per year per doc Keywords Plus (ID)

  • The results show that learning expectation, effort expectancy, social influence, playability, and learning self-management are all critical factors that affect the behavioral intention of mobile learning

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Summary

Introduction

The rapid development of information technology has penetrated all societies, economies, work, and life, causing significant changes in the social economy, mode of production, and consumption structure. Scholars study the organizational behavior and personal behavior in information technology adoption from the user’s perspective and summarize the behavior laws in technology adoption. These research results include the theory of reasoned action [2], the technology acceptance model (TAM) [3], the technology acceptance extension model (TAM2) [4], the unified theory of acceptance and use of technology [5], etc. These models take personal use intention or behavior as dependent variables and a personal

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