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Mobile Commerce Adoption: An Empirical Analysis of the Factors Affecting Consumer Intention to Use Mobile Commerce
16 references·2 citing·35 second hopsampled
Mobile Commerce Adoption: An Empirical Analysis of the Factors Affecting Consumer Intention to Use Mobile Commerce (2014)Mobile Commerce Adoption: An Empirical An…A meta-analysis of mobile commerce adoption and the moderating effect of culture (2012)A meta-analysis of mobile com…Determinants of US consumer mobile shopping services adoption: implications for designing mobile shopping services (2010)Determinants of US consumer m…What drives Malaysian m‐commerce adoption? An empirical analysis (2009)What drives Malaysian m‐comme…Mobile commerce user acceptance study in China: A revised UTAUT model (2008)Mobile commerce user acceptan…Exploring factors affecting the adoption of mobile commerce in Singapore (2005)Exploring factors affecting t…A review for mobile commerce research and applications (2005)A review for mobile commerce …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…TAM or Just Plain Habit (2003)TAM or Just Plain HabitFactors influencing the usage of websites: the case of a generic portal in The Netherlands (2003)Factors influencing the usage…Consumer Acceptance of Electronic Commerce: Integrating Trust and Risk with the Technology Acceptance Model (2003)Consumer Acceptance of Electr…Consumer attitude and the usage and adoption of home‐based banking in the United Kingdom (2002)Consumer attitude and the usa…The technology acceptance model and the World Wide Web (2000)The technology acceptance mod…Adoption of Internet banking by Australian consumers: an empirical investigation (1999)Adoption of Internet banking …Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology (1989)Perceived Usefulness, Perceiv…Emerging Value Propositions For M-Commerce (1970)Emerging Value Propositions F…Behavioral Intention of Using A Complementary Currency in Palestine (2021)Behavioral Intention of Using…Mobile Fashion C2C Apps (2019)Mobile Fashion C2C AppsBelief, Attitude, Intention and Behavior: An Introduction to Theory and Research (1975)The theory of planned behavior (1991)A meta-analysis of the technology acceptance model (2006)A trust-based consumer decision-making model in electronic commerce: The role of trust, perceived risk, and their antecedents (2007)Human Trust in Artificial Intelligence: Review of Empirical Research (2020)Self-efficacy mechanism in human agency. (1982)User Acceptance of Computer Technology: A Comparison of Two Theoretical Models (1989)User Acceptance of Information Technology: Toward A Unified View1 (2003)A new criterion for assessing discriminant validity in variance-based structural equation modeling (2014)Understanding Attitudes and Predicting Social Behavior (1980)Trust and TAM in Online Shopping: An Integrated Model1 (2003)Self-efficacy: Toward a unifying theory of behavioral change. (1977)Investigating users’ perspectives on e-learning: An integration of TAM and IS success model (2015)Understanding mobile banking: The unified theory of acceptance and use of technology combined with cultural moderators (2015)The technology acceptance model (TAM): A meta-analytic structural equation modeling approach to explaining teachers’ adoption of digital technology in education (2018)A Logit Model of Brand Choice Calibrated on Scanner Data (1983)Impact of Sales Promotions on When, What, and How Much to Buy (1988)Consumer acceptance of online banking: an extension of the technology acceptance model (2004)Factors influencing the adoption of internet banking: An integration of TAM and TPB with perceived risk and perceived benefit (2008)Factors influencing adoption of mobile banking by Jordanian bank customers: Extending UTAUT2 with trust (2017)Diffusion of Innovations 1 (2019)A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies (2000)Design aesthetics leading to m-loyalty in mobile commerce (2006)Exploring consumer adoption of mobile payments – A qualitative study (2007)The literature review of technology adoption models and theories for the novelty technology (2017)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)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)Understanding e‐business adoption across industries in European countries (2010)Adoption readiness, personal innovativeness, perceived risk and usage intention across customer groups for mobile payment services in India (2014)Understanding the attitude and intention to use smartphone chatbots for shopping (2020)User Acceptance of Hedonic Information Systems1 (2004)
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References

  • 1989Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology75,250 cited
  • 2003Consumer Acceptance of Electronic Commerce: Integrating Trust and Risk with the Technology Acceptance Model6,061 cited
  • 2004What drives mobile commerce?2,525 cited
  • 2004Toward an understanding of the behavioral intention to use mobile banking1,997 cited
  • 2003Factors influencing the usage of websites: the case of a generic portal in The Netherlands1,430 cited
  • 2000The technology acceptance model and the World Wide Web1,323 cited
  • 1999Adoption of Internet banking by Australian consumers: an empirical investigation1,155 cited
  • 2005Exploring factors affecting the adoption of mobile commerce in Singapore656 cited
  • 2009What drives Malaysian m‐commerce adoption? An empirical analysis557 cited
  • 2012A meta-analysis of mobile commerce adoption and the moderating effect of culture553 cited
  • 2002Consumer attitude and the usage and adoption of home‐based banking in the United Kingdom551 cited
  • 2005A review for mobile commerce research and applications541 cited
  • 1970Emerging Value Propositions For M-Commerce458 cited
  • 2003TAM or Just Plain Habit449 cited
  • 2010Determinants of US consumer mobile shopping services adoption: implications for designing mobile shopping services

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358 cited
  • 2008Mobile commerce user acceptance study in China: A revised UTAUT model349 cited
  • Cited by

    • 2021Behavioral Intention of Using A Complementary Currency in Palestine4 cited
    • 2019Mobile Fashion C2C Apps4 cited