An international comparison of technology adoption: Testing the UTAUT model

By Il Im, Seongtae Hong, Myung-Soo Kang. Information Manager (The), 2011

816 citations recorded by the source corpus.

Subfields: Information Systems and Management, Organizational Behavior and Human Resource Management, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/21cd7c5462a7bf28c77f01462d351e2e57da9aaa

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In Information Systems and Management

In Organizational Behavior and Human Resource Management

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Citations in the corpus

Technology Readiness and Customer Satisfaction with Travel Technologies: A Cross-Country Investigation (2017, background): “…culture moderates the relationships between expectancy, behavioral intention, and use behavior with these relationships being weaker in the Korean sample, which represents a culture with higher power distance, collectivism, and uncertainty avoidance and lower masculinity (Im, Hong, and Kang 2011).”
User Acceptance of Mobile Apps for Restaurants: An Expanded and Extended UTAUT-2 (2019, background): “It has been applied in a wide variety of contexts, such as the acceptance of Internet banking technology by employees, social network sites by students, the use of rural tourism websites, and tour guide apps [17,23,45,46].”
Security-related factors in extended UTAUT model for NFC based mobile payment in the restaurant industry (2017, background): “Cultural characteristics are among the factors that previous studies indicated to have significant impacts on one’s technology adoption propensity by affecting constructs of social influence, attitude, usefulness, and behavioral intention (Im, et al., 2011; Schepers & Wetzels, 2007).”
Mobile banking adoption: A literature review (2015, background): “The TAM is very popular as a framework for examining intentions to adopt m-banking.”
Social Isolation and Acceptance of the Learning Management System (LMS) in the time of COVID-19 Pandemic: An Expansion of the UTAUT Model (2020, result): “An international study was done by Im et al. (2011), revealed that the role Social inﬂuence played on BI was positively signiﬁcant and relatively higher in Korean respondents compared with the US.”
The utility of the UTAUT model in explaining mobile learning adoption in higher education in Guyana (2013, methodology): “There is more general agreement on a positive impact of effort expectancy (Bandyopadhyay & Fraccastoro 2007; Im et al. 2011; Jairak et al. 2009; Nassuora 2012; Wang & Shih 2009).”
Ordering theories: Typologies and conceptual frameworks for sociotechnical change (2017, neutral): “Also, UTAUT does not readily specify the relative weight and significance of its various constituent elements, nor does it capture qualitative aspects of acceptance difficult to measure outside of formal organizations, such as interpersonal social networks or informal learning (Im et al., 2011; Stra”
A systematic review of Internet banking adoption (2014, background): “Im et al. (2011) examine the relationships between the concepts of the UTAUT model to determine how culture affects them.”