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Extending the two-stage information systems continuance model: incorporating UTAUT predictors and the role of context
16 references·16 citing·34 second hopsampled
Extending the two-stage information systems continuance model: incorporating UTAUT predictors and the role of context (2011)Extending the two-stage information syste…Technology Acceptance Model 3 and a Research Agenda on Interventions (2008)Technology Acceptance Model 3…The Essential Impact of Context on Organizational Behavior (2006)The Essential Impact of Conte…User Acceptance of Hedonic Information Systems1 (2004)User Acceptance of Hedonic In…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…Developing and Validating Trust Measures for e-Commerce: An Integrative Typology (2002)Developing and Validating Tru…Understanding Information Systems Continuance: An Expectation-Confirmation Model1 (2001)Understanding Information Sys…Self-Service Technologies: Understanding Customer Satisfaction with Technology-Based Service Encounters (2000)Self-Service Technologies: Un…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…A Model of the Antecedents of Perceived Ease of Use: Development and Test (1996)A Model of the Antecedents of…An Integrative Model Of Organizational Trust (1995)An Integrative Model Of Organ…AFFECT- AND COGNITION-BASED TRUST AS FOUNDATIONS FOR INTERPERSONAL COOPERATION IN ORGANIZATIONS. (1995)AFFECT- AND COGNITION-BASED T…A Cognitive Model of the Antecedents and Consequences of Satisfaction Decisions (1980)A Cognitive Model of the Ante…Exchange and Power in Social Life. (1965)Exchange and Power in Social …A Theory of Cognitive Dissonance (1957)A Theory of Cognitive Dissona…Using the UTAUT model to understand students’ usage of e-learning systems in developing countries (2021)Using the UTAUT model to unde…Understanding managers’ attitudes and behavioral intentions towards using artificial intelligence for organizational decision-making (2021)Understanding managers’ attit…Adoption and use of AI tools: a research agenda grounded in UTAUT (2021)Adoption and use of AI tools:…What factors determining customer continuingly using food delivery apps during 2019 novel coronavirus pandemic period? (2020)What factors determining cust…What drives FinTech adoption? A multi-method evaluation using an adapted technology acceptance model (2020)What drives FinTech adoption?…What determines success of an e-government service? Validation of an integrative model of e-filing continuance usage (2018)What determines success of an…Exploring the influential factors of continuance intention to use mobile Apps: Extending the expectation confirmation model (2018)Exploring the influential fac…Investigating the drivers for social commerce in social media platforms: Importance of trust, social support and the platform perceived usage (2017)Investigating the drivers for…An empirical validation of a unified model of electronic government adoption (UMEGA) (2017)An empirical validation of a …Managing Citizens’ Uncertainty in E-Government Services: The Mediating and Moderating Roles of Transparency and Trust (2016)Managing Citizens’ Uncertaint…Determinants of continuance intention to use the smartphone banking services (2016)Determinants of continuance i…Analyzing older users’ home telehealth services acceptance behavior—applying an Extended UTAUT model (2016)Analyzing older users’ home t…An expectation-confirmation model of continuance intention to use mobile instant messaging (2015)An expectation-confirmation m…Acceptance and use predictors of open data technologies: Drawing upon the unified theory of acceptance and use of technology (2015)Acceptance and use predictors…Are personal innovativeness and social influence critical to continue with mobile commerce? (2014)Are personal innovativeness a…A Framework and Guidelines for Context-Specific Theorizing in Information Systems Research (2013)A Framework and Guidelines fo…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. 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References

  • 2003Common method biases in behavioral research: A critical review of the literature and recommended remedies.81,863 cited
  • 2003User Acceptance of Information Technology: Toward A Unified View144,945 cited
  • 1957A Theory of Cognitive Dissonance24,224 cited
  • 2000A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies22,991 cited
  • 1995An Integrative Model Of Organizational Trust15,026 cited
  • 1980A Cognitive Model of the Antecedents and Consequences of Satisfaction Decisions14,475 cited
  • 1965Exchange and Power in Social Life.13,624 cited
  • 2001Understanding Information Systems Continuance: An Expectation-Confirmation Model18,741 cited
  • 2008Technology Acceptance Model 3 and a Research Agenda on Interventions8,138 cited
  • 1995AFFECT- AND COGNITION-BASED TRUST AS FOUNDATIONS FOR INTERPERSONAL COOPERATION IN ORGANIZATIONS.7,320 cited
  • 2000Determinants of Perceived Ease of Use: Integrating Control, Intrinsic Motivation, and Emotion into the Technology Acceptance Model6,658 cited
  • 2002Developing and Validating Trust Measures for e-Commerce: An Integrative Typology5,540 cited
  • 2004User Acceptance of Hedonic Information Systems13,849 cited
  • 1996A Model of the Antecedents of Perceived Ease of Use: Development and Test3,799 cited

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  • 2006The Essential Impact of Context on Organizational Behavior3,540 cited
  • 2000Self-Service Technologies: Understanding Customer Satisfaction with Technology-Based Service Encounters2,906 cited
  • Cited by

    • 2021Adoption and use of AI tools: a research agenda grounded in UTAUT684 cited
    • 2017An empirical validation of a unified model of electronic government adoption (UMEGA)622 cited
    • 2016Analyzing older users’ home telehealth services acceptance behavior—applying an Extended UTAUT model616 cited
    • 2013A Framework and Guidelines for Context-Specific Theorizing in Information Systems Research609 cited
    • 2018Exploring the influential factors of continuance intention to use mobile Apps: Extending the expectation confirmation model569 cited
    • 2021Understanding managers’ attitudes and behavioral intentions towards using artificial intelligence for organizational decision-making566 cited
    • 2015An expectation-confirmation model of continuance intention to use mobile instant messaging562 cited
    • 2021Using the UTAUT model to understand students’ usage of e-learning systems in developing countries556 cited
    • 2020What factors determining customer continuingly using food delivery apps during 2019 novel coronavirus pandemic period?477 cited
    • 2020What drives FinTech adoption? A multi-method evaluation using an adapted technology acceptance model432 cited
    • 2015Acceptance and use predictors of open data technologies: Drawing upon the unified theory of acceptance and use of technology404 cited
    • 2018What determines success of an e-government service? Validation of an integrative model of e-filing continuance usage395 cited
    • 2016Determinants of continuance intention to use the smartphone banking services393 cited
    • 2017Investigating the drivers for social commerce in social media platforms: Importance of trust, social support and the platform perceived usage370 cited
    • 2014Are personal innovativeness and social influence critical to continue with mobile commerce?358 cited
    • 2016Managing Citizens’ Uncertainty in E-Government Services: The Mediating and Moderating Roles of Transparency and Trust350 cited