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Investigating the behavioral differences in the acceptance of MOOCs and E-learning technology
16 references·1 citing·44 second hopsampled
Investigating the behavioral differences in the acceptance of MOOCs and E-learning technology (2024)Investigating the behavioral differences …Predicting students’ intention to continue business courses on online platforms during the Covid-19: An extended expectation confirmation theory (2022)Predicting students’ intentio…E-learning intention of students with anxiety: Evidence from the first wave of COVID-19 pandemic in China (2022)E-learning intention of stude…Partial Least Squares Structural Equation Modeling (2021)Partial Least Squares Structu…E-learning intention material using TAM: A case study (2021)E-learning intention material…Understanding fintech continuance: perspectives from self-efficacy and ECT-IS theories (2020)Understanding fintech continu…Trends in Educational Research about e-Learning: A Systematic Literature Review (2009–2018) (2020)Trends in Educational Researc…Social Isolation and Acceptance of the Learning Management System (LMS) in the time of COVID-19 Pandemic: An Expansion of the UTAUT Model (2020)Social Isolation and Acceptan…Multigroup Analysis using SmartPLS: Step-by-Step Guidelines for Business Research (2020)Multigroup Analysis using Sma…Investigating the effects of quality factors and organizational factors on university students’ satisfaction of e-learning system quality (2020)Investigating the effects of …When to use and how to report the results of PLS-SEM (2018)When to use and how to report…Digital Compass Learning: Distance Education Enrollment Report 2017. (2017)Digital Compass Learning: Dis…Information system end-user satisfaction and continuance intention: A unified modeling approach (2016)Information system end-user s…Gain more insight from your PLS-SEM results (2016)Gain more insight from your P…Continuance intention to use MOOCs: Integrating the technology acceptance model (TAM) and task technology fit (TTF) model (2016)Continuance intention to use …Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology (1989)Perceived Usefulness, Perceiv…A Cognitive Model of the Antecedents and Consequences of Satisfaction Decisions (1980)A Cognitive Model of the Ante…Analysis of effective factors in the acceptance rate of E-learning at the time of Covid-19 outbreak (2025)Analysis of effective factors…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 Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies (2000)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)Understanding Information Systems Continuance: An Expectation-Confirmation Model1 (2001)User Acceptance of Information Technology: Toward A Unified View1 (2003)A new criterion for assessing discriminant validity in variance-based structural equation modeling (2014)Partial Least Squares Structural Equation Modeling (2021)Progress in partial least squares structural equation modeling use in marketing research in the last decade (2022)Evaluating Structural Equation Models with Unobservable Variables and Measurement Error (1981)Structural equation modeling in practice: A review and recommended two-step approach. (1988)Technology acceptance theories and factors influencing artificial Intelligence-based intelligent products (2019)Understanding the determinants of mobile banking continuance usage intention (2019)Understanding consumer acceptance of healthcare wearable devices: An integrated model of UTAUT and TTF (2020)PLS-SEM: Indeed a Silver Bullet (2011)Partial Least Squares Structural Equation Modeling (2017)Assessing measurement model quality in PLS-SEM using confirmatory composite analysis (2019)Partial Least Squares Structural Equation Modeling (PLS-SEM) Using R (2021)A Coefficient of Agreement for Nominal Scales (1960)The Measurement of Observer Agreement for Categorical Data (1977)Preferred reporting items for systematic review and meta-analysis protocols (PRISMA-P) 2015 statement (2015)Students’ Perception towards E-Learning during COVID-19 Pandemic in India: An Empirical Study (2020)Predicting student satisfaction of emergency remote learning in higher education during COVID-19 using machine learning techniques (2021)E-Learning Research Trends in Higher Education in Light of COVID-19: A Bibliometric Analysis (2022)Self-efficacy: Toward a unifying theory of behavioral change. (1977)What motivates customers to shop in smart shops? The impacts of smart technology and technology readiness (2020)Continuous Intention to Use E-Wallet in the Context of the COVID-19 Pandemic: Integrating the Health Belief Model (HBM) and Technology Continuous Theory (TCT) (2021)Customer Experience in Fintech (2021)Predictive model assessment in PLS-SEM: guidelines for using PLSpredict (2019)Redefining luxury service with technology implementation: the impact of technology on guest satisfaction and loyalty in a luxury hotel (2022)Progress in partial least squares structural equation modeling use in logistics and supply chain management in the last decade: a structured literature review (2023)What Is Quantitative Research? An Overview and Guidelines (2024)A power primer. (1992)“PLS-SEM: indeed a silver bullet” – retrospective observations and recent advances (2022)A brief review of partial least squares structural equation modeling (PLS-SEM) use in quality management studies (2022)The role of interorganizational collaboration and digital technologies in the implementation of circular economy practices—Empirical evidence from manufacturing firms (2023)Online shopping adoption during COVID-19 and social isolation: Extending the UTAUT model with herd behavior (2021)Factors affecting performance expectancy and intentions to use ChatGPT: Using SmartPLS to advance an information technology acceptance framework (2024)The Unified Theory of Acceptance and Use of Technology (UTAUT) in Higher Education: A Systematic Review (2024)
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References

  • 1989Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology68,271 cited
  • 2018When to use and how to report the results of PLS-SEM27,424 cited
  • 1980A Cognitive Model of the Antecedents and Consequences of Satisfaction Decisions14,475 cited
  • 2016Gain more insight from your PLS-SEM results1,510 cited
  • 2016Continuance intention to use MOOCs: Integrating the technology acceptance model (TAM) and task technology fit (TTF) model1,133 cited
  • 2021Partial Least Squares Structural Equation Modeling1,052 cited
  • 2020Social Isolation and Acceptance of the Learning Management System (LMS) in the time of COVID-19 Pandemic: An Expansion of the UTAUT Model510 cited
  • 2020Trends in Educational Research about e-Learning: A Systematic Literature Review (2009–2018)468 cited
  • 2020Multigroup Analysis using SmartPLS: Step-by-Step Guidelines for Business Research403 cited
  • 2020Understanding fintech continuance: perspectives from self-efficacy and ECT-IS theories325 cited
  • 2017Digital Compass Learning: Distance Education Enrollment Report 2017.158 cited
  • 2016Information system end-user satisfaction and continuance intention: A unified modeling approach105 cited
  • 2020Investigating the effects of quality factors and organizational factors on university students’ satisfaction of e-learning system quality86 cited
  • 2021

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E-learning intention material using TAM: A case study
60 cited
  • 2022Predicting students’ intention to continue business courses on online platforms during the Covid-19: An extended expectation confirmation theory55 cited
  • 2022E-learning intention of students with anxiety: Evidence from the first wave of COVID-19 pandemic in China49 cited
  • Cited by

    • 2025Analysis of effective factors in the acceptance rate of E-learning at the time of Covid-19 outbreak6 cited