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Exploring the influential factors of continuance intention to use mobile Apps: Extending the expectation confirmation model
16 references·16 citing·30 second hopsampled
Exploring the influential factors of continuance intention to use mobile Apps: Extending the expectation confirmation model (2018)Exploring the influential factors of cont…Consumer Acceptance and Use of Information Technology: Extending the Unified Theory of Acceptance and Use of Technology1 (2012)Consumer Acceptance and Use o…PLS-SEM: Indeed a Silver Bullet (2011)PLS-SEM: Indeed a Silver Bull…Integrating TTF and UTAUT to explain mobile banking user adoption (2010)Integrating TTF and UTAUT to …\nThe use of partial least squares path modeling in international marketing (2009)\nThe use of partial least sq…How Habit Limits the Predictive Power of Intention: The Case of Information Systems Continuance1 (2007)How Habit Limits the Predicti…Model of Adoption of Technology in Households: A Baseline Model Test and Extension Incorporating Household Life Cycle1 (2005)Model of Adoption of Technolo…User Acceptance of Information Technology: Toward A Unified View1 (2003)User Acceptance of Informatio…Common method biases in behavioral research: A critical review of the literature and recommended remedies. (2003)Common method biases in behav…Understanding Information Systems Continuance: An Expectation-Confirmation Model1 (2001)Understanding Information Sys…An empirical analysis of the antecedents of electronic commerce service continuance (2001)An empirical analysis of the …Why Don’t Men Ever Stop to Ask for Directions? Gender, Social Influence, and Their Role in Technology Acceptance and Usage Behavior1 (2000)Why Don’t Men Ever Stop to As…Extrinsic and Intrinsic Motivation to Use Computers in the Workplace 1 (1992)Extrinsic and Intrinsic Motiv…Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology (1989)Perceived Usefulness, Perceiv…Evaluating Structural Equation Models with Unobservable Variables and Measurement Error (1981)Evaluating Structural Equatio…Competitive Strategy: Techniques for Analyzing Industries and Competitors (1980)Competitive Strategy: Techniq…A Cognitive Model of the Antecedents and Consequences of Satisfaction Decisions (1980)A Cognitive Model of the Ante…Factors affecting performance expectancy and intentions to use ChatGPT: Using SmartPLS to advance an information technology acceptance framework (2024)Factors affecting performance…AI Chatbots in Chinese higher education: adoption, perception, and influence among graduate students—an integrated analysis utilizing UTAUT and ECM models (2024)AI Chatbots in Chinese higher…“Extending the Technology Acceptance Model (TAM) to Predict University Students’ Intentions to Use Metaverse-Based Learning Platforms” (2023)“Extending the Technology Acc…The role of utilitarian and hedonic aspects in the continuance intention to use social mobile apps (2022)The role of utilitarian and h…The bright side of online consumer behavior: Continuance intention for mobile payments (2022)The bright side of online con…Adoption of green innovation technology to accelerate sustainable development among manufacturing industry (2022)Adoption of green innovation …A study of college students' intention to use metaverse technology for basketball learning based on UTAUT2 (2022)A study of college students' …Enablers and Inhibitors of AI-Powered Voice Assistants: A Dual-Factor Approach by Integrating the Status Quo Bias and Technology Acceptance Model (2021)Enablers and Inhibitors of AI…“Yes, we do. Why not use augmented reality?” customer responses to experiential presentations of AR-based applications (2021)“Yes, we do. Why not use augm…What factors determining customer continuingly using food delivery apps during 2019 novel coronavirus pandemic period? (2020)What factors determining cust…Predicting the actual use of m-learning systems: a comparative approach using PLS-SEM and machine learning algorithms (2020)Predicting the actual use of …How pre-adoption expectancies shape post-adoption continuance intentions: An extended expectation-confirmation model (2020)How pre-adoption expectancies…Consumers' continuance intention to use fitness and health apps: an integration of the expectation–confirmation model and investment model (2020)Consumers' continuance intent…Understanding the determinants of mobile banking continuance usage intention (2019)Understanding the determinant…The moderating effects of gender on customer satisfaction and continuance intention in mobile commerce: a UTAUT-based perspective (2019)The moderating effects of gen…Consumer adoption of smartphone fitness apps: an extended UTAUT2 perspective (2019)Consumer adoption of smartpho…Belief, Attitude, Intention and Behavior: An Introduction to Theory and Research (1975)Self-efficacy mechanism in human agency. (1982)User Acceptance of Computer Technology: A Comparison of Two Theoretical Models (1989)A new criterion for assessing discriminant validity in variance-based structural equation modeling (2014)On the Evaluation of Structural Equation Models (1988)Structural equation modeling in practice: A review and recommended two-step approach. (1988)Partial least squares structural equation modeling (PLS-SEM) (2014)When to use and how to report the results of PLS-SEM (2018)The Theory of Buyer Behavior (1971)Effect of expectation and disconfirmation on postexposure product evaluations: An alternative interpretation. (1977)Disconfirmation of consumer expectations through product trial. (1979)Developing Buyer-Seller Relationships (1987)Measuring Service Quality: A Reexamination and Extension (1992)The theory of planned behavior (1991)Older Adults' Reasons for Using Technology while Aging in Place (2015)Diffusion of Innovations 1 (2019)Self-Reports in Organizational Research: Problems and Prospects (1986)Structural Equations with Latent Variables. (1991)Technology Acceptance Model 3 and a Research Agenda on Interventions (2008)Sources of Method Bias in Social Science Research and Recommendations on How to Control It (2011)Common Method Bias in PLS-SEM (2015)Coefficient Alpha and the Internal Structure of Tests (1951)A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies (2000)Unified Theory of Acceptance and Use of Technology: A Synthesis and the Road Ahead (2016)Re-examining the Unified Theory of Acceptance and Use of Technology (UTAUT): Towards a Revised Theoretical Model (2017)Significance tests and goodness of fit in the analysis of covariance structures. (1980)The cornerstones of competitive advantage: A resource‐based view (1993)Varieties of Capitalism (2001)Explicating dynamic capabilities: the nature and microfoundations of (sustainable) enterprise performance (2007)Common Method Variance in IS Research: A Comparison of Alternative Approaches and a Reanalysis of Past Research (2006)
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References

  • 1981Evaluating Structural Equation Models with Unobservable Variables and Measurement Error108,884 cited
  • 2003Common method biases in behavioral research: A critical review of the literature and recommended remedies.81,863 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
  • 2011PLS-SEM: Indeed a Silver Bullet21,614 cited
  • 1980Competitive Strategy: Techniques for Analyzing Industries and Competitors16,592 cited
  • 2012Consumer Acceptance and Use of Information Technology: Extending the Unified Theory of Acceptance and Use of Technology115,720 cited
  • 1980A Cognitive Model of the Antecedents and Consequences of Satisfaction Decisions14,475 cited
  • 2009\nThe use of partial least squares path modeling in international marketing11,331 cited
  • 2001Understanding Information Systems Continuance: An Expectation-Confirmation Model18,741 cited
  • 1992Extrinsic and Intrinsic Motivation to Use Computers in the Workplace 16,231 cited
  • 2000Why Don’t Men Ever Stop to Ask for Directions? Gender, Social Influence, and Their Role in Technology Acceptance and Usage Behavior14,353 cited
  • 2007How Habit Limits the Predictive Power of Intention: The Case of Information Systems Continuance12,320 cited
  • 2010

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Integrating TTF and UTAUT to explain mobile banking user adoption
1,696 cited
  • 2005Model of Adoption of Technology in Households: A Baseline Model Test and Extension Incorporating Household Life Cycle11,550 cited
  • 2001An empirical analysis of the antecedents of electronic commerce service continuance1,441 cited
  • Cited by

    • 2023“Extending the Technology Acceptance Model (TAM) to Predict University Students’ Intentions to Use Metaverse-Based Learning Platforms”635 cited
    • 2020What factors determining customer continuingly using food delivery apps during 2019 novel coronavirus pandemic period?477 cited
    • 2022Adoption of green innovation technology to accelerate sustainable development among manufacturing industry389 cited
    • 2022The role of utilitarian and hedonic aspects in the continuance intention to use social mobile apps368 cited
    • 2019Understanding the determinants of mobile banking continuance usage intention310 cited
    • 2020How pre-adoption expectancies shape post-adoption continuance intentions: An extended expectation-confirmation model305 cited
    • 2020Predicting the actual use of m-learning systems: a comparative approach using PLS-SEM and machine learning algorithms269 cited
    • 2024Factors affecting performance expectancy and intentions to use ChatGPT: Using SmartPLS to advance an information technology acceptance framework261 cited
    • 2020Consumers' continuance intention to use fitness and health apps: an integration of the expectation–confirmation model and investment model215 cited
    • 2024AI Chatbots in Chinese higher education: adoption, perception, and influence among graduate students—an integrated analysis utilizing UTAUT and ECM models190 cited
    • 2021Enablers and Inhibitors of AI-Powered Voice Assistants: A Dual-Factor Approach by Integrating the Status Quo Bias and Technology Acceptance Model181 cited
    • 2022A study of college students' intention to use metaverse technology for basketball learning based on UTAUT2181 cited
    • 2019Consumer adoption of smartphone fitness apps: an extended UTAUT2 perspective177 cited
    • 2022The bright side of online consumer behavior: Continuance intention for mobile payments177 cited
    • 2019The moderating effects of gender on customer satisfaction and continuance intention in mobile commerce: a UTAUT-based perspective170 cited
    • 2021“Yes, we do. Why not use augmented reality?” customer responses to experiential presentations of AR-based applications146 cited