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Consumer Behaviour and Mobile TV Services: Do Men Differ From Women in Their Adoption Intentions?
16 references·4 citing·27 second hop
Consumer Behaviour and Mobile TV Services: Do Men Differ From Women in Their Adoption Intentions? (2010)Consumer Behaviour and Mobile TV Services…Diffusion of Innovations 1 (2019)Diffusion of Innovations 1Value-based Adoption of Mobile Internet: An empirical investigation (2005)Value-based Adoption of Mobil…What drives mobile commerce? (2004)What drives mobile commerce?User Acceptance of Information Technology: Toward A Unified View1 (2003)User Acceptance of Informatio…Applying the Technology Acceptance Model and Flow Theory to Online Consumer Behavior (2002)Applying the Technology Accep…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…Measuring the Customer Experience in Online Environments: A Structural Modeling Approach (2000)Measuring the Customer Experi…Information Rules: A Strategic Guide to the Network Economy (2000)Information Rules: A Strategi…Constructive Consumer Choice Processes (1998)Constructive Consumer Choice …Gender Differences in the Perception and Use of E-Mail: An Extension to the Technology Acceptance Model1 (1997)Gender Differences in the Per…The construction of preference. (1995)The construction of preferenc…A primer on decision making : how decisions happen (1994)A primer on decision making :…The theory of planned behavior (1991)The theory of planned behaviorFrom 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…Understanding Attitudes and Predicting Social Behavior (1980)Understanding Attitudes and P…An exploratory study into the determinants of adoption of mobile TV services: an integrated value perspective (2015)An exploratory study into the…Acceptance and Willingness to Pay for Mobile TV Apps (2013)Acceptance and Willingness to…The impact of trial on technology adoption: the case of mobile TV (2011)The impact of trial on techno…A New Conceptual Framework to Evaluate Consumer Adoption of Mobile Services: The Case of Mobile TV (2011)A New Conceptual Framework to…Belief, Attitude, Intention and Behavior: An Introduction to Theory and Research (1975)Self-efficacy: Toward a unifying theory of behavioral change. (1977)Self-efficacy: Toward a unifying theory of behavioral change. (1977)Understanding Information Technology Usage: A Test of Competing Models (1995)Efficacy of the Theory of Planned Behaviour: A meta‐analytic review (2001)Coefficient Alpha and the Internal Structure of Tests (1951)A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies (2000)Consumer Acceptance and Use of Information Technology: Extending the Unified Theory of Acceptance and Use of Technology1 (2012)Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology (1989)A new criterion for assessing discriminant validity in variance-based structural equation modeling (2014)Older Adults' Reasons for Using Technology while Aging in Place (2015)Structural equation modeling in practice: A review and recommended two-step approach. (1988)Comparative fit indexes in structural models. (1990)Alternative Ways of Assessing Model Fit (1992)The Effects of Progressive Levels of Interactivity and Vividness in Web Marketing Sites (2001)Engagement, telepresence and interactivity in online consumer experience: Reconciling scholastic and managerial perspectives (2009)Digital marketing: A framework, review and research agenda (2016)User Acceptance of Computer Technology: A Comparison of Two Theoretical Models (1989)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)Value creation in E‐business (2001)Business Models, Business Strategy and Innovation (2009)From Strategy to Business Models and onto Tactics (2010)Trust and TAM in Online Shopping: An Integrated Model1 (2003)Common Method Variance in IS Research: A Comparison of Alternative Approaches and a Reanalysis of Past Research (2006)Technology Acceptance Model 3 and a Research Agenda on Interventions (2008)
this work references cited by second hop

References

  • 1991The theory of planned behavior90,729 cited
  • 2003User Acceptance of Information Technology: Toward A Unified View144,945 cited
  • 2019Diffusion of Innovations 137,320 cited
  • 1980Understanding Attitudes and Predicting Social Behavior25,805 cited
  • 1985From Intentions to Actions: A Theory of Planned Behavior19,049 cited
  • 1985A technology acceptance model for empirically testing new end-user information systems : theory and results6,184 cited
  • 2000Information Rules: A Strategic Guide to the Network Economy4,394 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
  • 2002Applying the Technology Acceptance Model and Flow Theory to Online Consumer Behavior3,203 cited
  • 2000Measuring the Customer Experience in Online Environments: A Structural Modeling Approach3,196 cited
  • 1998Constructive Consumer Choice Processes2,850 cited
  • 1994A primer on decision making : how decisions happen2,385 cited
  • 2004What drives mobile commerce?2,282 cited
  • 1997Gender Differences in the Perception and Use of E-Mail: An Extension to the Technology Acceptance Model12,227 cited
  • 2005Value-based Adoption of Mobile Internet: An empirical investigation

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2,084 cited
  • 1995The construction of preference.2,046 cited
  • Cited by

    • 2011The impact of trial on technology adoption: the case of mobile TV23 cited
    • 2013Acceptance and Willingness to Pay for Mobile TV Apps13 cited
    • 2011A New Conceptual Framework to Evaluate Consumer Adoption of Mobile Services: The Case of Mobile TV11 cited
    • 2015An exploratory study into the determinants of adoption of mobile TV services: an integrated value perspective6 cited