A model of consumer acceptance of mobile payment

By Lei-da Chen. International Journal of Mobile Communications, 2008

523 citations recorded by the source corpus.

Subfields: Information Systems and Management, Sociology and Political Science, Strategy and Management

View Paper: https://www.semanticscholar.org/paper/decc2d763eb40be372b6d5b77d64bec19293a3b5

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In Information Systems and Management

In Sociology and Political Science

In Strategy and Management

Citations in the corpus

Enjoyment and social influence: predicting mobile payment adoption (2015, methodology): “However, previous studies have demonstrated that security concerns are a major factor for the diffusion of m-payment services (Chen, 2008; Lu et al., 2011; Yang et al., 2012).”
The effects of convenience and speed in m-payment (2015, background): “(2012) Perceived transaction convenience (PTC) 3 Chen (2008) Perceived transaction speed (PTS) 3 Chen (2008) Behavioral intention (BI) 3 Venkatesh et al. (2012) Table I.”
Towards an understanding of the consumer acceptance of mobile wallet (2009, background): “Because mobile payments are not a mainstream phenomenon yet in the US (Chen, 2008), this research is exploratory.”
Mobile payment services adoption across time: An empirical study of the effects of behavioral beliefs, social influences, and personal traits (2012, methodology): “In the contemporary information systems literature, research on mobile payment services acceptance focuses mainly on notions of instrumentality, e.g. perceived usefulness and perceived ease of use (Chen, 2008; Dahlberg et al., 2008).”
Modeling users’ acceptance of mobile services (2012, background): “In [15], regarding m-payments, it was found that perceived transaction speed does not have a direct effect on mpayment adoption intention.”
User Intentions to Adopt Mobile Payment Services: A Study of Early Adopters in Thailand (2015, background): “…is an important aspect of innovation adoption and that it has a strong influence on a person’s intention to adopt new technology, not only in the general IT/IS context, but also in the mobile phone services context (Chen, 2008; Mallat & Tuunainen, 2008; Schierz et al., 2010; Wu & Wang, 2005).”
Mobile Banking Adoption: Application of Diffusion of Innovation Theory (2012, background): “Compatibility has further been found influential in the adoption of virtual store [Chen et al. 2004], m-payment [Chen 2008], and mobile banking [Koenig-Lewis 2010; Lin 2011].”
Predicting young consumers' take up of mobile banking services (2010, unknown): “Chen (2008) recommends developing more sophisticated authentication schemes such as biometrics to protect users to overcome problems of credibility.”
Exploring consumer adoption of proximity mobile payments (2014, background): “The effect of perceived risk, as a singular construct, on behavioural intention has been both supported in some studies (Chen, 2008; Lu et al., 2011; Shin, 2010; Yang et al., 2012), and rejected in others (Hongxia et al., 2011; Kapoor et al., 2014; Tan et al., 2014; Wang & Yi, 2012), in the MP…”
Antecedents of the adoption of the new mobile payment systems: The moderating effect of age (2014, background): “Besides, risk will have a decisive impact on the user’s trust towards the mobile payment system (Chandra, Srivastava, & Theng, 2010; Dan & Jing, 2011), therefore reducing the intention to use the new payment system (Chen, 2008; Yang et al., 2012).”