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Use of virtual learning environments: A theoretical model using decomposed expectancy disconfirmation theory
16 references·2 citing·40 second hop
Use of virtual learning environments: A theoretical model using decomposed expectancy disconfirmation theory (2015)Use of virtual learning environments: A t…Principles and Practice of Structural Equation Modeling (2012)Principles and Practice of St…An assessment of the use of partial least squares structural equation modeling in marketing research (2011)An assessment of the use of p…The use of partial least squares path modeling in international marketing (2009)The use of partial least squa…Students’ expectations of, and experiences in e-learning: Their relation to learning achievements and course satisfaction (2009)Students’ expectations of, an…\nThe use of partial least squares path modeling in international marketing (2009)\nThe use of partial least sq…G*Power 3: A flexible statistical power analysis program for the social, behavioral, and biomedical sciences (2007)G*Power 3: A flexible statist…Understanding e-learning continuance intention: An extension of the Technology Acceptance Model (2006)Understanding e-learning cont…Theory of planning behavior (TPB) and customer satisfaction in the continued use of e-service: An integrated model (2006)Theory of planning behavior (…Usability, quality, value and e-learning continuance decisions (2004)Usability, quality, value and…Principles and Practice of Structural Equation Modeling (1998)Principles and Practice of St…Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology (1989)Perceived Usefulness, Perceiv…Evaluation of goodness-of-fit indices for structural equation models. (1989)Evaluation of goodness-of-fit…Consumer Perceptions of Interpersonal Equity and Satisfaction in Transactions: A Field Survey Approach (1989)Consumer Perceptions of Inter…SERVQUAL: A multiple-Item Scale for measuring consumer perceptions of service quality (1988)SERVQUAL: A multiple-Item Sca…Evaluating Structural Equation Models with Unobservable Variables and Measurement Error (1981)Evaluating Structural Equatio…A Cognitive Model of the Antecedents and Consequences of Satisfaction Decisions (1980)A Cognitive Model of the Ante…Theorising and Modeling Interface Design Quality and Its Predictive Influence on Learners' Post Adoption Behaviour in E-Learning Course Environments. 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References

  • 1981Evaluating Structural Equation Models with Unobservable Variables and Measurement Error108,884 cited
  • 1989Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology68,271 cited
  • 2007G*Power 3: A flexible statistical power analysis program for the social, behavioral, and biomedical sciences65,813 cited
  • 2012Principles and Practice of Structural Equation Modeling38,893 cited
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  • 1988SERVQUAL: A multiple-Item Scale for measuring consumer perceptions of service quality21,113 cited
  • 1980A Cognitive Model of the Antecedents and Consequences of Satisfaction Decisions14,475 cited
  • 2009\nThe use of partial least squares path modeling in international marketing11,331 cited
  • 2011An assessment of the use of partial least squares structural equation modeling in marketing research8,083 cited
  • 1989Evaluation of goodness-of-fit indices for structural equation models.2,925 cited
  • 2009The use of partial least squares path modeling in international marketing2,533 cited
  • 1989Consumer Perceptions of Interpersonal Equity and Satisfaction in Transactions: A Field Survey Approach2,084 cited
  • 2006Understanding e-learning continuance intention: An extension of the Technology Acceptance Model1,398 cited
  • 2009Students’ expectations of, and experiences in e-learning: Their relation to learning achievements and course satisfaction

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731 cited
  • 2006Theory of planning behavior (TPB) and customer satisfaction in the continued use of e-service: An integrated model698 cited
  • 2004Usability, quality, value and e-learning continuance decisions567 cited
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    • 2021Theorising and Modeling Interface Design Quality and Its Predictive Influence on Learners' Post Adoption Behaviour in E-Learning Course Environments.6 cited