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Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-319-05542-8_15-2openalex-extracted

Partial Least Squares Structural Equation Modeling

inferredcites →https://doi.org/10.1016/j.chb.2020.106455openalex-extracted

Understanding continuance intention among MOOC participants: The role of habit and MOOC performance

inferredcites →https://doi.org/10.1016/j.compedu.2014.08.006openalex-extracted

Understanding the MOOCs continuance: The role of openness and reputation

inferredcites →https://doi.org/10.1016/j.ijme.2022.100706openalex-extracted

Predicting students’ intention to continue business courses on online platforms during the Covid-19: An extended expectation confirmation theory

inferredcites →https://doi.org/10.1016/j.jad.2022.04.121openalex-extracted

E-learning intention of students with anxiety: Evidence from the first wave of COVID-19 pandemic in China

inferredcites →https://doi.org/10.1016/j.jbi.2016.03.021openalex-extracted

Information system end-user satisfaction and continuance intention: A unified modeling approach

inferredcites →https://doi.org/10.1016/j.matpr.2021.09.457openalex-extracted

E-learning intention material using TAM: A case study

inferredcites →https://doi.org/10.1080/2331186x.2020.1787004openalex-extracted

Investigating the effects of quality factors and organizational factors on university students’ satisfaction of e-learning system quality

inferredcites →https://doi.org/10.1108/ebr-11-2018-0203openalex-extracted

When to use and how to report the results of PLS-SEM

inferredcites →https://doi.org/10.1108/imds-02-2020-0069openalex-extracted

Understanding fintech continuance: perspectives from self-efficacy and ECT-IS theories

inferredcites →https://doi.org/10.1108/jrit-12-2022-0091openalex-extracted

Effectiveness of MOOCs on learning efficiency of students: a perception study

inferredcites →https://doi.org/10.1109/icic54025.2021.9632995openalex-extracted

Extending ECM with Quality Factors to Investigate Continuance Intention to Use E-learning

inferredcites →https://doi.org/10.1109/icic56845.2022.10006981openalex-extracted

Examining User Acceptance of MOOCs: The Role of Openness, Task Technology Fit, and Self-Efficacy

inferredcites →https://doi.org/10.1109/incit56086.2022.10067619openalex-extracted

Expectation-Confirmation Model (ECM) to See Satisfaction and Continued Intention of e-Learning (“Cyber”)

inferredcites →https://doi.org/10.1177/0735633120960421openalex-extracted

Social Isolation and Acceptance of the Learning Management System (LMS) in the time of COVID-19 Pandemic: An Expansion of the UTAUT Model

inferredcites →https://doi.org/10.14707/ajbr.200087openalex-extracted

Multigroup Analysis using SmartPLS: Step-by-Step Guidelines for Business Research

inferredcites →https://doi.org/10.21511/im.16(2).2020.02openalex-extracted

An extension of the Expectation Confirmation Model (ECM) to study continuance behavior in using e-Health services

inferredcites →https://doi.org/10.2307/1270020openalex-extracted

Statistical Power Analysis for the Behavioral Sciences

inferredcites →https://doi.org/10.24167/sisforma.v9i1.4143openalex-extracted

Investigating Fintech Service Adoption using Extended-ECM

inferredcites →https://doi.org/10.4018/ijgcms.2017010101openalex-extracted

An Investigation of the Adoption of Online Game Technologies in Indonesia

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