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Direct or indirect effects from “perceived characteristic of innovation” to “intention to pay”: mediation of continuance intention to use e-learning
16 references·8 citing·35 second hop
Direct or indirect effects from “perceived characteristic of innovation” to “intention to pay”: mediation of continuance intention to use e-learning (2020)Direct or indirect effects from “perceive…Diffusion of Innovations 1 (2019)Diffusion of Innovations 1The technology acceptance model (TAM): A meta-analytic structural equation modeling approach to explaining teachers’ adoption of digital technology in education (2018)The technology acceptance mod…PLS-SEM: Indeed a Silver Bullet (2011)PLS-SEM: Indeed a Silver Bull…Business Research Methods (2011)Business Research MethodsExperience quality, perceived value, satisfaction and behavioral intentions for heritage tourists (2009)Experience quality, perceived…What drives a successful e-Learning? An empirical investigation of the critical factors influencing learner satisfaction (2007)What drives a successful e-Le…Value-based Adoption of Mobile Internet: An empirical investigation (2005)Value-based Adoption of Mobil…User Acceptance of Information Technology: Toward A Unified View1 (2003)User Acceptance of Informatio…The DeLone and McLean Model of Information Systems Success: A Ten-Year Update (2003)The DeLone and McLean Model o…Diffusion of innovations. (2003)Diffusion of innovations.A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies (2000)A Theoretical Extension of th…Educational Research: Competencies for Analysis and Application (1995)Educational Research: Compete…Effects of Price, Brand, and Store Information on Buyers' Product Evaluations (1991)Effects of Price, Brand, and …Development of an Instrument to Measure the Perceptions of Adopting an Information Technology Innovation (1991)Development of an Instrument …Consumer Perceptions of Price, Quality, and Value: A Means-End Model and Synthesis of Evidence (1988)Consumer Perceptions of Price…Business research methods (1976)Business research methodsExploring emotional and technological drivers of e-learning continuance intention among university students (2025)Exploring emotional and techn…Does personal innovativeness and personal anxiety matter? The predictors of continuance use intention of an e-wallet system (2024)Does personal innovativeness …Determinants of e-Learning Services: Indonesian Open University (2023)Determinants of e-Learning Se…Students’ Relative Attitudes and Relative Intentions to Use E-Learning Systems (2022)Students’ Relative Attitudes …Predicting students’ continuance use of learning management system at a technical university using machine learning algorithms (2022)Predicting students’ continua…Predicting College Students’ Adoption of Technology for Self-Directed Learning: A Model Based on the Theory of Planned Behavior With Self-Evaluation as an Intermediate Variable (2022)Predicting College Students’ …Chinese Consumers' E-Learning Satisfaction and Continuance Purchase Intention on Paid Online Python Course (2022)Chinese Consumers' E-Learning…Antecedents of students’ e-learning continuance intention during COVID-19: An empirical study (2022)Antecedents of students’ e-le…Information Systems Success: The Quest for the Dependent Variable (1992)Understanding Information Technology Usage: A Test of Competing Models (1995)The balanced scorecard: Translating strategy into action (1997)Design science in information systems research (2004)Design Science in Information Systems Research1 (2004)Technology Acceptance Model 3 and a Research Agenda on Interventions (2008)Evaluating Structural Equation Models with Unobservable Variables and Measurement Error (1981)On the Evaluation of Structural Equation Models (1988)Structural equation modeling in practice: A review and recommended two-step approach. (1988)A new criterion for assessing discriminant validity in variance-based structural equation modeling (2014)Partial least squares structural equation modeling (PLS-SEM) (2014)When to use and how to report the results of PLS-SEM (2018)A Paradigm for Developing Better Measures of Marketing Constructs (1979)Pricing: Making Profitable Decisions (1980)Assessing the effects of quality, value, and customer satisfaction on consumer behavioral intentions in service environments (2000)Consumer perceived value: The development of a multiple item scale (2001)Consumer Acceptance and Use of Information Technology: Extending the Unified Theory of Acceptance and Use of Technology1 (2012)Information and Consumer Behavior (1970)The nature of human values (1973)A Conceptual Model of Service Quality and Its Implications for Future Research (1985)The Effect of a Market Orientation on Business Profitability (1990)Conceptualizing, Measuring, and Managing Customer-Based Brand Equity (1993)Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology (1989)The theory of planned behavior (1991)Older Adults' Reasons for Using Technology while Aging in Place (2015)A Coefficient of Agreement for Nominal Scales (1960)Belief, Attitude, Intention and Behavior: An Introduction to Theory and Research (1975)Trust and TAM in Online Shopping: An Integrated Model1 (2003)The Strength of Weak Ties (1973)Qualitative-Quantitative Research Methodology: Exploring the Interactive Continuum (1999)Teachers’ attitudes toward information and communication technologies: the case of Syrian EFL teachers (2005)Teaching Courses Online: A Review of the Research (2006)Is innovation always beneficial? A meta-analysis of the relationship between innovation and performance in SMEs (2010)Diffusion of Innovations (2015)Mobile payment: Understanding the determinants of customer adoption and intention to recommend the technology (2016)
this work references cited by second hop

References

  • 2003User Acceptance of Information Technology: Toward A Unified View144,945 cited
  • 2019Diffusion of Innovations 137,320 cited
  • 2000A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies22,991 cited
  • 2011PLS-SEM: Indeed a Silver Bullet21,614 cited
  • 1988Consumer Perceptions of Price, Quality, and Value: A Means-End Model and Synthesis of Evidence18,274 cited
  • 2003Diffusion of innovations.13,723 cited
  • 2003The DeLone and McLean Model of Information Systems Success: A Ten-Year Update11,772 cited
  • 1991Development of an Instrument to Measure the Perceptions of Adopting an Information Technology Innovation9,145 cited
  • 1991Effects of Price, Brand, and Store Information on Buyers' Product Evaluations5,848 cited
  • 1995Educational Research: Competencies for Analysis and Application5,395 cited
  • 1976Business research methods4,277 cited
  • 2011Business Research Methods2,940 cited
  • 2007What drives a successful e-Learning? An empirical investigation of the critical factors influencing learner satisfaction2,726 cited
  • 2009Experience quality, perceived value, satisfaction and behavioral intentions for heritage tourists2,574 cited
  • 2005Value-based Adoption of Mobile Internet: An empirical investigation

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2,084 cited
  • 2018The technology acceptance model (TAM): A meta-analytic structural equation modeling approach to explaining teachers’ adoption of digital technology in education1,915 cited
  • Cited by

    • 2022Antecedents of students’ e-learning continuance intention during COVID-19: An empirical study29 cited
    • 2022Predicting students’ continuance use of learning management system at a technical university using machine learning algorithms27 cited
    • 2022Predicting College Students’ Adoption of Technology for Self-Directed Learning: A Model Based on the Theory of Planned Behavior With Self-Evaluation as an Intermediate Variable20 cited
    • 2025Exploring emotional and technological drivers of e-learning continuance intention among university students10 cited
    • 2022Chinese Consumers' E-Learning Satisfaction and Continuance Purchase Intention on Paid Online Python Course10 cited
    • 2024Does personal innovativeness and personal anxiety matter? The predictors of continuance use intention of an e-wallet system9 cited
    • 2022Students’ Relative Attitudes and Relative Intentions to Use E-Learning Systems8 cited
    • 2023Determinants of e-Learning Services: Indonesian Open University8 cited