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Factors influencing the adoption of mobile service in China: An integration of TAM
16 references·16 citing·29 second hopsampled
Factors influencing the adoption of mobile service in China: An integration of TAM (2010)Factors influencing the adoption of mobil…Diffusion of Innovations 1 (2019)Diffusion of Innovations 1The utilization of e‐government services: citizen trust, innovation and acceptance factors* (2005)The utilization of e‐governme…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…User Acceptance of Information Technology: Toward A Unified View1 (2003)User Acceptance of Informatio…Trust and TAM in Online Shopping: An Integrated Model1 (2003)Trust and TAM in Online Shopp…Determinants of user acceptance of Internet banking: an empirical study (2003)Determinants of user acceptan…Consumer patronage and risk perceptions in Internet shopping (2003)Consumer patronage and risk p…An Examination of the Nature of Trust in Buyer-Seller Relationships (1997)An Examination of the Nature …Re-Examining Perceived Ease of Use and Usefulness: A Confirmatory Factor Analysis (1993)Re-Examining Perceived Ease o…Perceived Usefulness, Ease of Use, and Usage of Information Technology: A Replication (1992)Perceived Usefulness, Ease of…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…From Intentions to Actions: A Theory of Planned Behavior (1985)From Intentions to Actions: A…A technology acceptance model for empirically testing new end-user information systems : theory and results (1985)A technology acceptance model…Evaluating Structural Equation Models with Unobservable Variables and Measurement Error (1981)Evaluating Structural Equatio…DETERMINANTS OF BEHAVIOR INTENTION TO ADOPT PEER-TO-PEER LENDING SERVICES AMONG INDONESIA MSMES (2023)DETERMINANTS OF BEHAVIOR INTE…Using the UTAUT2 model to explain teacher acceptance of work performance assessment system (2022)Using the UTAUT2 model to exp…Reputation and its consequences in Fintech services: the case of mobile banking (2022)Reputation and its consequenc…Exploring UTAUT Model in Mobile 4.5G Service: Moderating Social–Economic Effects of Gender and Awareness (2022)Exploring UTAUT Model in Mobi…Factors Determine the Behavioural Intention in Adopting the Blockchain Technology by Malaysian Public Sector Officers (2020)Factors Determine the Behavio…A SEM-Neural Network Approach for Predicting Antecedents of Factors Influencing Consumers' Intent to Install Mobile Applications (2018)A SEM-Neural Network Approach…Factors influencing the adoption of mobile financial services in the unbanked population (2017)Factors influencing the adopt…Improving Employees Behavior through Extension in Theory of Planned Behavior: A Theoretical Perspective for SMEs (2016)Improving Employees Behavior …Factors affecting Malaysian university students’ purchase intention in social networking sites (2016)Factors affecting Malaysian u…Behavioral Model of Younger Users in M-Payment Systems (2015)Behavioral Model of Younger U…Adoption of Smart Card-Based E-Payment System for Retailing in Hong Kong Using an Extended Technology Acceptance Model (2015)Adoption of Smart Card-Based …UTAUT2 INFLUENCING THE BEHAVIOURAL INTENTION TO ADOPT MOBILE APPLICATIONS (2014)UTAUT2 INFLUENCING THE BEHAVI…A Cross-National Analysis of Intention to Use Multiple Mobile Entertainment Services (2014)A Cross-National Analysis of …Some Key Factors Influencing Attitudes to Patronage of GSM Services: The Nigerian Experience (2012)Some Key Factors Influencing …Factors influencing cloud-computing technology adoption in developing countries (2012)Factors influencing cloud-com…Adoption of Mobile Commerce Technology (2012)Adoption of Mobile Commerce T…Belief, Attitude, Intention and Behavior: An Introduction to Theory and Research (1975)Understanding Information Technology Usage: A Test of Competing Models (1995)Determinants of Perceived Ease of Use: Integrating Control, Intrinsic Motivation, and Emotion into the Technology Acceptance Model (2000)Technology Acceptance Model 3 and a Research Agenda on Interventions (2008)Self-efficacy: Toward a unifying theory of behavioral change. (1977)Self-efficacy: Toward a unifying theory of behavioral change. (1977)Efficacy of the Theory of Planned Behaviour: A meta‐analytic review (2001)Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives (1999)Common Method Variance in IS Research: A Comparison of Alternative Approaches and a Reanalysis of Past Research (2006)Understanding knowledge sharing in virtual communities: An integration of social capital and social cognitive theories (2006)A trust-based consumer decision-making model in electronic commerce: The role of trust, perceived risk, and their antecedents (2007)Self-efficacy mechanism in human agency. (1982)A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies (2000)A new criterion for assessing discriminant validity in variance-based structural equation modeling (2014)The Market for "Lemons": Quality Uncertainty and the Market Mechanism (1970)Structural equation modeling in practice: A review and recommended two-step approach. (1988)Comparative fit indexes in structural models. (1990)Consumer Trust, Value, and Loyalty in Relational Exchanges (2002)Consumer Acceptance of Electronic Commerce: Integrating Trust and Risk with the Technology Acceptance Model (2003)Understanding Attitudes and Predicting Social Behavior (1980)The theory of planned behavior (1991)Consumer Acceptance and Use of Information Technology: Extending the Unified Theory of Acceptance and Use of Technology1 (2012)Older Adults' Reasons for Using Technology while Aging in Place (2015)Significance tests and goodness of fit in the analysis of covariance structures. (1980)On the Evaluation of Structural Equation Models (1988)When to use and how to report the results of PLS-SEM (2018)Development of an Instrument to Measure the Perceptions of Adopting an Information Technology Innovation (1991)The Strength of Weak Ties (1973)Diffusion of innovations. (2003)
this work references cited by second hop· second hop is a sample of the most-cited connections

References

  • 1981Evaluating Structural Equation Models with Unobservable Variables and Measurement Error108,884 cited
  • 1989Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology68,271 cited
  • 2003User Acceptance of Information Technology: Toward A Unified View144,945 cited
  • 2019Diffusion of Innovations 137,320 cited
  • 1989User Acceptance of Computer Technology: A Comparison of Two Theoretical Models25,696 cited
  • 1985From Intentions to Actions: A Theory of Planned Behavior19,049 cited
  • 2003Trust and TAM in Online Shopping: An Integrated Model18,618 cited
  • 1997An Examination of the Nature of Trust in Buyer-Seller Relationships6,819 cited
  • 1985A technology acceptance model for empirically testing new end-user information systems : theory and results6,184 cited
  • 1992Perceived Usefulness, Ease of Use, and Usage of Information Technology: A Replication3,083 cited
  • 2004What drives mobile commerce?2,282 cited
  • 2005The utilization of e‐government services: citizen trust, innovation and acceptance factors*2,202 cited
  • 2004Toward an understanding of the behavioral intention to use mobile banking1,963 cited
  • 1993Re-Examining Perceived Ease of Use and Usefulness: A Confirmatory Factor Analysis1,515 cited

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2003
Consumer patronage and risk perceptions in Internet shopping
1,412 cited
  • 2003Determinants of user acceptance of Internet banking: an empirical study1,361 cited
  • Cited by

    • 2022Reputation and its consequences in Fintech services: the case of mobile banking67 cited
    • 2015Adoption of Smart Card-Based E-Payment System for Retailing in Hong Kong Using an Extended Technology Acceptance Model56 cited
    • 2012Adoption of Mobile Commerce Technology41 cited
    • 2016Factors affecting Malaysian university students’ purchase intention in social networking sites38 cited
    • 2015Behavioral Model of Younger Users in M-Payment Systems37 cited
    • 2017Factors influencing the adoption of mobile financial services in the unbanked population28 cited
    • 2016Improving Employees Behavior through Extension in Theory of Planned Behavior: A Theoretical Perspective for SMEs26 cited
    • 2022Using the UTAUT2 model to explain teacher acceptance of work performance assessment system26 cited
    • 2012Some Key Factors Influencing Attitudes to Patronage of GSM Services: The Nigerian Experience26 cited
    • 2012Factors influencing cloud-computing technology adoption in developing countries24 cited
    • 2022Exploring UTAUT Model in Mobile 4.5G Service: Moderating Social–Economic Effects of Gender and Awareness22 cited
    • 2014A Cross-National Analysis of Intention to Use Multiple Mobile Entertainment Services21 cited
    • 2020Factors Determine the Behavioural Intention in Adopting the Blockchain Technology by Malaysian Public Sector Officers19 cited
    • 2023DETERMINANTS OF BEHAVIOR INTENTION TO ADOPT PEER-TO-PEER LENDING SERVICES AMONG INDONESIA MSMES16 cited
    • 2018A SEM-Neural Network Approach for Predicting Antecedents of Factors Influencing Consumers' Intent to Install Mobile Applications16 cited
    • 2014UTAUT2 INFLUENCING THE BEHAVIOURAL INTENTION TO ADOPT MOBILE APPLICATIONS15 cited