Towards an understanding of the behavioral intention to use 3G mobile value-added services

By Ying-Feng Kuo, Shieh-Neng Yen. Computers in Human Behavior, 2009

620 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/58c6d4304888708963a4b3b445211a3420b9418f

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Citations in the corpus

Modeling users’ acceptance of mobile services (2012, background): “Kuo and Yen, also, examined the relationship of innovativeness with perceived ease of use and perceived usefulness [42].”
What catalyses mobile apps usage intention: an empirical analysis (2015, background): “Besides, considering that BI is the major determinant of actual usage behaviour (Kuo and Yen, 2009), BI is “assumed here to be a definite indicator of actual consumer behaviour” (Chen, 2013, p.”
NFC mobile credit card: The next frontier of mobile payment? (2014, background): “More importantly, the model also neglected user's individual characteristics (McCoy et al., 2005) and external factors (Kuo and Yen, 2009).”
Increasing trust in mobile commerce through design aesthetics (2010, methodology): “…ages, education level and number of times of m-commerce experiences) with other m-commerce studies using Taiwanese-speaking population as samples (Kuo & Yen, 2009; Lin & Wang, 2006), similar results demonstrated that more than 50% of subjects were aged 21–30 years old, more than 60% of subjects…”
The determinants of recommendations to use augmented reality technologies: the case of a Korean theme park. (2015, methodology): “Consequently, it has been increasingly used within technology acceptance research, particularly with the emergence of new technologies such as biometric hotel systems (Morosan, 2012) and mobile marketing and services (Gao et al., 2012; Han et al., 2013; Kuo & Yen, 2009, Zarmpou et al., 2012).”
How perceived trust mediates merchant's intention to use a mobile wallet technology (2020, background): “Kuo and Yen (2009) con ﬁ rmed that perceived compatibility is an antecedent of perceived usefulness, ease of use, and it directly in ﬂ uences user's intention to use a technology.”
Determinants of end-user acceptance of biometrics: Integrating the "Big 3" of technology acceptance with privacy context (2013, background): “to accept a new technology are very much more likely to become adopters of the technology [53], and then often recommend the technology to others [55].”
Wearable technologies: The role of usefulness and visibility in smartwatch adoption (2016, methodology): “0.81 Perceived Ease of Use (adapted from Kim & Shin, 2015; Kuo & Yen, 2009) Learning to use smartwatches is simple.”