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Assessing the Effects of UTAUT and Self-Determination Predictor on Students Continuance Intention to Use Student Portal
7 references·7 citing·39 second hop
Assessing the Effects of UTAUT and Self-Determination Predictor on Students Continuance Intention to Use Student Portal (2013)Assessing the Effects of UTAUT and Self-D…The effects of education compatibility and technological expectancy on e-learning acceptance (2011)The effects of education comp…Motivation in online learning: Testing a model of self-determination theory (2010)Motivation in online learning…E-file adoption: A study of U.S. taxpayers’ intentions (2010)E-file adoption: A study of U…Understanding Web-based learning continuance intention: The role of subjective task value (2008)Understanding Web-based learn…Critical success factors for e-learning acceptance: Confirmatory factor models (2005)Critical success factors for …Acceptance of Internet-based learning medium: the role of extrinsic and intrinsic motivation (2005)Acceptance of Internet-based …Management systems (1971)Management systemsA new contextual and comprehensive application of the UTAUT2 model post‐ COVID ‐19 pandemic in higher education (2023)A new contextual and comprehe…E-Learning Adoption; How Is Students Behavior During The Covid-19 Pandemic? (2022)E-Learning Adoption; How Is S…The Role of Business Leaders in Information Technology Innovation in the New Era of Disruptive Technology (2019)The Role of Business Leaders …Factors Affecting Students' Adoption of ICT Tools in Higher Education Institutions (2017)Factors Affecting Students' A…Use of UTAUT model to assess ICT adoption in Kenyan public Universities (2015)Use of UTAUT model to assess …Factors Contributing Pre-School Trainees Teachers Adoption of Virtual Learning Environment: Malaysian Evidence. (2015)Factors Contributing Pre-Scho…Factors influencing ubiquitous technology usage among engineering undergraduates: a confirmatory factor analysis (2014)Factors influencing ubiquitou…Evaluating Structural Equation Models with Unobservable Variables and Measurement Error (1981)The theory of planned behavior (1991)User Acceptance of Information Technology: Toward A Unified View1 (2003)What factors predict undergraduate students' use of technology for learning? A case from Hong Kong (2012)Modeling the acceptance of e-learning in mandatory environments of higher education: The influence of previous education and gender (2015)An empirical analysis of factors predicting the behavioral intention to adopt Internet shopping technology among non-shoppers in a developing country context: Does gender matter? (2016)Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology (1989)Consumer e-shopping acceptance: Antecedents in a technology acceptance model (2008)An Analysis of the Technology Acceptance Model in Understanding University Students' Behavioral Intention to Use e-Learning (2009)Explaining and predicting users’ continuance intention toward e-learning: An extension of the expectation–confirmation model (2009)A meta-analysis of e-learning technology acceptance: The role of user types and e-learning technology types (2011)Online shopping drivers and barriers for older adults: Age and gender differences (2014)Investigating users’ perspectives on e-learning: An integration of TAM and IS success model (2015)Diffusion of Innovations 1 (2019)Principles and Practice of Structural Equation Modeling (1998)Self-determination theory and the facilitation of intrinsic motivation, social development, and well-being. (2000)Principles and Practice of Structural Equation Modeling (2012)Retention in Online Courses (2016)Determinants of Students’ Perceived Learning Outcome and Satisfaction in Online Learning during the Pandemic of COVID19 (2020)Students’ motivation and engagement in higher education: the importance of attitude to online learning (2020)A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies (2000)Determinants of Perceived Ease of Use: Integrating Control, Intrinsic Motivation, and Emotion into the Technology Acceptance Model (2000)Multi-dimensional students’ evaluation of e-learning systems in the higher education context: An empirical investigation (2009)Students’ expectations of, and experiences in e-learning: Their relation to learning achievements and course satisfaction (2009)Blended learning effectiveness: the relationship between student characteristics, design features and outcomes (2017)Case Study Research: Design and Methods (1984)Case Study Research: Design and Methods (1991)Basics of qualitative research : techniques and procedures for developing grounded theory (1998)A primer on partial least squares structural equation modeling (PLS-SEM) (2015)Understanding ChatGPT Adoption among Higher Education Students in Punjab, India: An Application of UTAUT2 Model (2025)Citizens’ adoption of an electronic government system: towards a unified view (2015)The imperative of influencing citizen attitude toward e-government adoption and use (2015)An empirical validation of a unified model of electronic government adoption (UMEGA) (2017)The role of facilitating condition in enhancing user’s continuance intention (2021)E-Learning Acceptance in Higher Education in Response to Outbreak of COVID-19: TAM2 Based Approach (2023)Factors influencing students’ intentions to continue learning in AI-assisted painting courses (2026)The History of Family Business, 1850–2000 (2002)Does ownership structure of emerging-market firms affect their outward FDI? The case of the Indian automotive and pharmaceutical sectors (2009)The role of family ownership in international entrepreneurship: exploring nonlinear effects (2010)
this work references cited by second hop

References

  • 2005Acceptance of Internet-based learning medium: the role of extrinsic and intrinsic motivation1,184 cited
  • 2005Critical success factors for e-learning acceptance: Confirmatory factor models1,055 cited
  • 2008Understanding Web-based learning continuance intention: The role of subjective task value869 cited
  • 2010Motivation in online learning: Testing a model of self-determination theory829 cited
  • 1971Management systems531 cited
  • 2011The effects of education compatibility and technological expectancy on e-learning acceptance336 cited
  • 2010E-file adoption: A study of U.S. taxpayers’ intentions289 cited

Cited by

  • 2017Factors Affecting Students' Adoption of ICT Tools in Higher Education Institutions20 cited
  • 2023A new contextual and comprehensive application of the UTAUT2 model post‐ COVID ‐19 pandemic in higher education14 cited
  • 2019The Role of Business Leaders in Information Technology Innovation in the New Era of Disruptive Technology13 cited
  • 2022E-Learning Adoption; How Is Students Behavior During The Covid-19 Pandemic?9 cited
  • 2015Factors Contributing Pre-School Trainees Teachers Adoption of Virtual Learning Environment: Malaysian Evidence.9 cited
  • 2014Factors influencing ubiquitous technology usage among engineering undergraduates: a confirmatory factor analysis7 cited
  • 2015

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Use of UTAUT model to assess ICT adoption in Kenyan public Universities
6 cited