Mobile payment services adoption across time: An empirical study of the effects of behavioral beliefs, social influences, and personal traits

By Shuiqing Yang, Yao-bin Lu, Sumeet Gupta, Yuzhi Cao, Rui Zhang. Computers in Human Behavior, 2012

720 citations recorded by the source corpus.

Subfields: Information Systems and Management, Management Science and Operations Research, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/6647653fe6446545a61bc1fbd5ec4fbc337fad2d

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Information Systems and Management

In Management Science and Operations Research

In Sociology and Political Science

Citations in the corpus

Factors affecting hotels' adoption of mobile reservation systems: A technology-organization-environment framework (2016, background): “…or individuals' adoption of mobile commerce (e.g., Chang & Pan, 2011; Ha et al., 2007; Ko et al., 2009; Lee & Mills, 2010; Mallat et al., 2008; Yang et al., 2012; Zhou et al., 2010), relatively little research has examined mobile commerce adoption from an organizational standpoint (e.g.,…”
Mobile Money and Financial Inclusion in Sub-Saharan Africa: the Moderating Role of Social Networks (2018, background): “Social networks act as a great source of information andmotivator for people trying out any new technology or information system (Yang et al., 2012; Slade et al., 2015).”
Expanding the Technology Acceptance Model with the Inclusion of Trust, Social Influence, and Health Valuation to Determine the Predictors of German Users’ Willingness to Continue using a Fitness App: A Structural Equation Modeling Approach (2018, background): “…studies is that subjective norm or injunctive social norm significantly influences people ’ s intention to adopt various forms of technology such as instant messaging (Lu, Zhou, & Wang, 2009), mobile payment services (Yang, Lu, Gupta, Cao, & Zhang, 2012), and anti-spy software (Lee & Kozar, 2008).”
Enjoyment and social influence: predicting mobile payment adoption (2015, background): “This is consistent with the literature (Lu, Yang, Chau, & Cao, 2011; Yang et al., 2012).”
Exploring consumer adoption of proximity mobile payments (2014, background): “Of the four original UTAUT constructs, social inﬂuence has been the most tested in the context of MP, and its effect on behavioural intention has acquired more support (Hongxia et al., 2011; Tan et al., 2014; Yang, Lu, Gupta, Cao, & Zhang, 2012) than rejection (e.g. Shin, 2010; Wang & Yi, 2012).”
Intention of adoption of mobile payment: An analysis in the light of the Unified Theory of Acceptance and Use of Technology (UTAUT) (2016, result): “On the other hand, our study proved to be in line with the research of Yang et al. (2012).”
User Intentions to Adopt Mobile Payment Services: A Study of Early Adopters in Thailand (2015, background): “…intention, which is inconsistent with many of the findings reported in prior studies on M-payment services adoption based on the TAM approach (Chandra et al., 2010; Chen, 2008; Goeke & Pousttchi, 2010; Keramati et al., 2011; Kim et al., 2010; Lu et al., 2011; Yang et al., 2012; Zhou, 2011).”