Recent studies on the Unified Theory of Acceptance and Use of Technology (UTAUT) model from 2020 onwards
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UTAUT Model in Recent Technology Acceptance Research (2020 Onwards)
UTAUT Model Core Constructs and Their Influence
Recent studies continue to confirm that the Unified Theory of Acceptance and Use of Technology (UTAUT) model is a robust framework for understanding technology adoption. The model’s four main constructs—performance expectancy, effort expectancy, social influence, and facilitating conditions—remain central in predicting users’ behavioral intentions and actual technology use across various domains, including education, finance, and research environments Xue2024Yohanes2020Ay2023. Performance expectancy, in particular, consistently emerges as the strongest predictor of behavioral intention to use new technologies Xue2024Ay2023.
UTAUT in Higher Education and Educational Technology
A systematic review of UTAUT applications in higher education from 2008 to 2022 highlights that most research focuses on student populations, especially in Asia and North America, with mobile learning tools being the most frequently studied technology. Surveys and structural equation modeling are the preferred research methods. The review also notes that the Technology Acceptance Model (TAM) is often combined with UTAUT to enhance explanatory power. Importantly, the review calls for more inclusive research that spans diverse groups and uses mixed methodologies to better understand technology adoption in educational settings .
UTAUT in Financial Technology and Online Systems
In the context of financial technology (FinTech), studies show that effort expectancy, social influence, and facilitating conditions are significant factors influencing user acceptance of FinTech applications . Similarly, research on online examination systems finds that performance expectancy, effort expectancy, and facilitating conditions positively affect students’ intentions to use these systems, while social influence has a less significant impact .
Evolving the UTAUT Model: Attitude, Culture, and Meta-UTAUT
Recent meta-analyses and reviews suggest that the UTAUT model can be further improved by incorporating additional constructs. Attitude has been identified as a central factor that mediates the effects of other constructs on behavioral intention and directly influences usage behavior Dwivedi2017Dwivedi2020. There is also a growing recognition of the role of culture, with some researchers proposing its inclusion as a direct determinant in the model to better capture culturally influenced technology adoption behaviors .
The development of a modified version, known as meta-UTAUT, synthesizes findings from numerous studies and offers a more comprehensive approach to understanding technology acceptance, which is increasingly being cited in recent literature .
Methodological Trends and Recommendations
Recent research continues to rely heavily on cross-sectional surveys and structural equation modeling for data analysis. However, limitations such as single-subject or biased samples are common, and there is a call for more diverse and context-specific studies to improve the generalizability of findings Xue2024Williams2015. Researchers recommend expanding UTAUT applications to include a wider range of participant groups, settings, and theoretical perspectives to fully understand technology adoption patterns .
Conclusion
Since 2020, the UTAUT model has remained a foundational tool for studying technology acceptance, with performance expectancy as the most influential factor. Recent research emphasizes the need for model extensions—such as including attitude and culture—and advocates for more inclusive, context-sensitive studies. These advancements aim to enhance the model’s relevance and effectiveness in predicting technology adoption across diverse environments.
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