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Unified theory of acceptance and use of technology (UTAUT) in mobile learning adoption : Systematic literature review and bibliometric analysis

技术接受与使用的统一理论 期望理论 系统回顾 背景(考古学) 计算机科学 知识管理 多学科方法 社会影响力 引用 心理学 社会学 社会心理学 社会科学 万维网 梅德林 政治学 地理 考古 法学
作者
Alper AYTEKİN,Hakan Özköse,Ahmet Ayaz
出处
期刊:Collnet Journal of Scientometrics and Information Management [Informa]
卷期号:16 (1): 75-116 被引量:43
标识
DOI:10.1080/09737766.2021.2007037
摘要

Various literature studies have been conducted to provide valuable information regarding the current research trend of Unified Technology Acceptance and Use Theory (UTAUT). When the literature was examined, it was seen that the UTAUT research on the adoption of mobile learning (M-learning) was ignored. Therefore, it was deemed necessary to conduct a literature study on the adoption of mobile learning. In this context, 31 research articles on the adoption of M-learning with UTAUT, published from 2003 to 2020, have been discussed for systematic literature research. These 31 specific research publications were discussed under four categories Performance Expectancy, Effort Expectancy, Social Influence and Facilitating Conditions. 63 different factors were identified after systematic literature review, except for UTAUT factors. These factors were grouped under 10 main factors. In addition, the authors in this field were identified by bibliometric analysis and the relationships between each other were determined by citation analysis. In addition to these, prominent terms have been determined according to the keywords and abstracts in the relevant articles. The connections between these terms have been created by the method of co-occurrence. Finally, the links between prominent terms and terms were examined with bibliometric analysis. According to the findings obtained, it has been determined that most UTAUT studies involving M-learning focus on extending UTAUT with external variables. It has been observed that the analyzed studies generally took place in the Asian countries. These studies have been carried out as multidisciplinary. In addition, it has been reported that most of these studies on M-learning take place in higher education settings. It is thought that the findings obtained at the end of the systematic literature review and bibliometric analysis study on the adoption of M-learning with UTAUT will constitute an important reference for academicians in this field.
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