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A Study of Mobile Payment (M-Payment) Services Adoption in Thailand
16 references·4 citing·27 second hop
A Study of Mobile Payment (M-Payment) Services Adoption in Thailand (2014)A Study of Mobile Payment (M-Payment) Ser…Mobile payment services adoption across time: An empirical study of the effects of behavioral beliefs, social influences, and personal traits (2011)Mobile payment services adopt…Dynamics between the trust transfer process and intention to use mobile payment services: A cross-environment perspective (2011)Dynamics between the trust tr…Predicting young consumers' take up of mobile banking services (2010)Predicting young consumers' t…What drives Malaysian m‐commerce adoption? An empirical analysis (2009)What drives Malaysian m‐comme…Understanding consumer acceptance of mobile payment services: An empirical analysis (2009)Understanding consumer accept…An empirical examination of factors influencing the intention to use mobile payment (2009)An empirical examination of f…Exploring consumer adoption of mobile payments – A qualitative study (2007)Exploring consumer adoption o…What drives mobile commerce? (2004)What drives mobile commerce?Toward an understanding of the behavioral intention to use mobile banking (2004)Toward an understanding of th…Predicting e-services adoption: a perceived risk facets perspective (2003)Predicting e-services adoptio…Diffusion of innovations. (2003)Diffusion of innovations.Determinants of Perceived Ease of Use: Integrating Control, Intrinsic Motivation, and Emotion into the Technology Acceptance Model (2000)Determinants of Perceived Eas…A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies (2000)A Theoretical Extension of th…User Acceptance of Computer Technology: A Comparison of Two Theoretical Models (1989)User Acceptance of Computer T…Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology (1989)Perceived Usefulness, Perceiv…Belief, Attitude, Intention and Behavior: An Introduction to Theory and Research (1975)Belief, Attitude, Intention a…Acceptance Of Ddkoin Blockchain Using Utaut Model: A Customer Perspective Approach (2022)Acceptance Of Ddkoin Blockcha…Antecedents and outcomes of enterprise social network usage within UK higher education (2021)Antecedents and outcomes of e…Determinants of Cloud Computing Intentions to Use: Role of Firm’s Size, Managerial Structure and Industrial Sector (2019)Determinants of Cloud Computi…Understanding the determinants affecting the continuance intention to use cloud computing (2017)Understanding the determinant…Self-efficacy mechanism in human agency. (1982)A new criterion for assessing discriminant validity in variance-based structural equation modeling (2014)The theory of planned behavior (1991)User Acceptance of Information Technology: Toward A Unified View1 (2003)An empirical examination of continuance intention of mobile payment services (2012)Modeling Consumers’ Adoption Intentions of Remote Mobile Payments in the United Kingdom: Extending UTAUT with Innovativeness, Risk, and Trust (2015)Understanding consumer adoption of mobile payment in India: Extending Meta-UTAUT model with personal innovativeness, anxiety, trust, and grievance redressal (2020)Understanding Attitudes and Predicting Social Behavior (1980)Is innovation always beneficial? A meta-analysis of the relationship between innovation and performance in SMEs (2010)Diffusion of Innovations (2015)Mobile payment: Understanding the determinants of customer adoption and intention to recommend the technology (2016)Diffusion of Innovations 1 (2019)Evaluating Structural Equation Models with Unobservable Variables and Measurement Error (1981)Understanding knowledge sharing in virtual communities: An integration of social capital and social cognitive theories (2006)Acceptance of blog usage: The roles of technology acceptance, social influence and knowledge sharing motivation (2008)Integrating TTF and UTAUT to explain mobile banking user adoption (2010)On the Evaluation of Structural Equation Models (1988)Understanding information technology acceptance by individual professionals: Toward an integrative view (2005)A meta-analysis of the technology acceptance model: Investigating subjective norm and moderation effects (2006)Common method biases in behavioral research: A critical review of the literature and recommended remedies. (2003)Consumer Acceptance of Electronic Commerce: Integrating Trust and Risk with the Technology Acceptance Model (2003)A meta-analysis of the technology acceptance model (2006)Technology acceptance model: a literature review from 1986 to 2013 (2014)Design science in information systems research (2004)Design Science in Information Systems Research1 (2004)Trust and TAM in Online Shopping: An Integrated Model1 (2003)Consumer Acceptance and Use of Information Technology: Extending the Unified Theory of Acceptance and Use of Technology1 (2012)
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References

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  • 1975Belief, Attitude, Intention and Behavior: An Introduction to Theory and Research36,736 cited
  • 1989User Acceptance of Computer Technology: A Comparison of Two Theoretical Models25,696 cited
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  • 2003Diffusion of innovations.13,723 cited
  • 2000Determinants of Perceived Ease of Use: Integrating Control, Intrinsic Motivation, and Emotion into the Technology Acceptance Model6,658 cited
  • 2003Predicting e-services adoption: a perceived risk facets perspective3,346 cited
  • 2004What drives mobile commerce?2,282 cited
  • 2004Toward an understanding of the behavioral intention to use mobile banking1,963 cited
  • 2009An empirical examination of factors influencing the intention to use mobile payment1,327 cited
  • 2009Understanding consumer acceptance of mobile payment services: An empirical analysis1,268 cited
  • 2007Exploring consumer adoption of mobile payments – A qualitative study1,005 cited
  • 2011Dynamics between the trust transfer process and intention to use mobile payment services: A cross-environment perspective751 cited
  • 2011Mobile payment services adoption across time: An empirical study of the effects of behavioral beliefs, social influences, and personal traits

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679 cited
  • 2010Predicting young consumers' take up of mobile banking services640 cited
  • 2009What drives Malaysian m‐commerce adoption? An empirical analysis550 cited
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    • 2021Antecedents and outcomes of enterprise social network usage within UK higher education8 cited