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Ambivalence and Coping Responses in Post-Adoptive Information Systems Use
16 references·8 citing·40 second hop
Ambivalence and Coping Responses in Post-Adoptive Information Systems Use (2020)Ambivalence and Coping Responses in Post-…Partial Least Squares (PLS) Structural Equation Modeling (SEM) for Building and Testing Behavioral Causal Theory: When to Choose It and How to Use It (2014)Partial Least Squares (PLS) S…Auxiliary Variables in Mixture Modeling: Three-Step Approaches Using M plus (2014)Auxiliary Variables in Mixtur…The Autonomy Paradox: The Implications of Mobile Email Devices for Knowledge Professionals (2013)The Autonomy Paradox: The Imp…Consumer Acceptance and Use of Information Technology: Extending the Unified Theory of Acceptance and Use of Technology1 (2012)Consumer Acceptance and Use o…Common Method Bias in Marketing: Causes, Mechanisms, and Procedural Remedies (2012)Common Method Bias in Marketi…Sources of Method Bias in Social Science Research and Recommendations on How to Control It (2011)Sources of Method Bias in Soc…Construct Measurement and Validation Procedures in MIS and Behavioral Research: Integrating New and Existing Techniques1 (2011)Construct Measurement and Val…Online social networks: Why do students use facebook? (2010)Online social networks: Why d…Understanding and Mitigating Uncertainty in Online Exchange Relationships: A Principal–Agent Perspective1 (2007)Understanding and Mitigating …Deciding on the Number of Classes in Latent Class Analysis and Growth Mixture Modeling: A Monte Carlo Simulation Study (2007)Deciding on the Number of Cla…Journal of Organizational Behavior (2006)Journal of Organizational Beh…Validation Guidelines for IS Positivist Research (2004)Validation Guidelines for IS …Personality and leadership: A qualitative and quantitative review. (2002)Personality and leadership: A…You want to measure coping but your protocol’ too long: Consider the brief cope (1997)You want to measure coping bu…Evaluating Structural Equation Models with Unobservable Variables and Measurement Error (1981)Evaluating Structural Equatio…Understanding Attitudes and Predicting Social Behavior (1980)Understanding Attitudes and P…Unpacking conflicting evaluations and ambivalence in online hotel booking: The moderating role of perceived enjoyment in user retention (2025)Unpacking conflicting evaluat…Exploring users' post-adoption use of generative AI: An attitudinal ambivalence perspective (2025)Exploring users' post-adoptio…Seeking social support on social media: a coping perspective (2024)Seeking social support on soc…User Satisfaction and Dissatisfaction: Bipolar versus Unipolar Conceptualizations (2023)User Satisfaction and Dissati…Satisfaction to Stay, Regret to Switch: Understanding Post-adoption Regret in Choosing Competing Technologies When Herding (2022)Satisfaction to Stay, Regret …Responses to ambivalence toward social networking sites: A typological perspective (2022)Responses to ambivalence towa…Repeated IT Interruption: Habituation and Sensitization of User Responses (2022)Repeated IT Interruption: Hab…Conflicting social influences regarding controversial information systems: the case of online dating (2022)Conflicting social influences…Structural Equations with Latent Variables. 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Gender, Social Influence, and Their Role in Technology Acceptance and Usage Behavior1 (2000)User Acceptance of Information Technology: Toward A Unified View1 (2003)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)Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives (1999)Hierarchical Latent Variable Models in PLS-SEM: Guidelines for Using Reflective-Formative Type Models (2012)Positioning and Presenting Design Science Research for Maximum Impact1 (2013)Significance tests and goodness of fit in the analysis of covariance structures. 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References

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  • 1980Understanding Attitudes and Predicting Social Behavior25,805 cited
  • 2012Consumer Acceptance and Use of Information Technology: Extending the Unified Theory of Acceptance and Use of Technology115,720 cited
  • 2011Sources of Method Bias in Social Science Research and Recommendations on How to Control It15,698 cited
  • 2007Deciding on the Number of Classes in Latent Class Analysis and Growth Mixture Modeling: A Monte Carlo Simulation Study11,376 cited
  • 1997You want to measure coping but your protocol’ too long: Consider the brief cope7,354 cited
  • 2014Auxiliary Variables in Mixture Modeling: Three-Step Approaches Using M plus3,569 cited
  • 2002Personality and leadership: A qualitative and quantitative review.3,189 cited
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  • 2012Common Method Bias in Marketing: Causes, Mechanisms, and Procedural Remedies3,045 cited
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  • 2007Understanding and Mitigating Uncertainty in Online Exchange Relationships: A Principal–Agent Perspective12,645 cited
  • 2014Partial Least Squares (PLS) Structural Equation Modeling (SEM) for Building and Testing Behavioral Causal Theory: When to Choose It and How to Use It1,899 cited

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  • 2010Online social networks: Why do students use facebook?1,501 cited
  • 2013The Autonomy Paradox: The Implications of Mobile Email Devices for Knowledge Professionals1,295 cited
  • 2006Journal of Organizational Behavior1,244 cited
  • Cited by

    • 2022Satisfaction to Stay, Regret to Switch: Understanding Post-adoption Regret in Choosing Competing Technologies When Herding30 cited
    • 2022Responses to ambivalence toward social networking sites: A typological perspective28 cited
    • 2022Repeated IT Interruption: Habituation and Sensitization of User Responses18 cited
    • 2025Unpacking conflicting evaluations and ambivalence in online hotel booking: The moderating role of perceived enjoyment in user retention17 cited
    • 2025Exploring users' post-adoption use of generative AI: An attitudinal ambivalence perspective17 cited
    • 2024Seeking social support on social media: a coping perspective16 cited
    • 2022Conflicting social influences regarding controversial information systems: the case of online dating13 cited
    • 2023User Satisfaction and Dissatisfaction: Bipolar versus Unipolar Conceptualizations9 cited