Citation map · Study

SZodixStudyAcademic Library

Shelves Open access

Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated

Understanding the factors of mobile payment continuance intention: empirical test in an African context

16 references·16 citing·35 second hopsampled

FromToDepth

this work references cited by second hop· second hop is a sample of the most-cited connections

References

1981Evaluating Structural Equation Models with Unobservable Variables and Measurement Error108,884 cited
2003Common method biases in behavioral research: A critical review of the literature and recommended remedies.81,863 cited
1989Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology68,271 cited
2003User Acceptance of Information Technology: Toward A Unified View144,945 cited
2014A new criterion for assessing discriminant validity in variance-based structural equation modeling38,283 cited
2015A primer on partial least squares structural equation modeling (PLS-SEM)18,923 cited
1980A Cognitive Model of the Antecedents and Consequences of Satisfaction Decisions14,475 cited
1970Back-Translation for Cross-Cultural Research14,051 cited
2014A primer on partial least squares structural equation modeling (PLS-SEM)12,786 cited
2003The DeLone and McLean Model of Information Systems Success: A Ten-Year Update11,772 cited
2009\nThe use of partial least squares path modeling in international marketing11,331 cited
1992Information Systems Success: The Quest for the Dependent Variable10,674 cited
2001Understanding Information Systems Continuance: An Expectation-Confirmation Model18,741 cited
2016Mobile payment: Understanding the determinants of customer adoption and intention to recommend the technology

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work

1,371 cited

2009Explaining and predicting users’ continuance intention toward e-learning: An extension of the expectation–confirmation model1,265 cited

2009Understanding Technology Adoption: Theory and Future Directions for Informal Learning1,265 cited

Cited by

2022Factors influence user’s intention to continue use of e-banking during COVID-19 pandemic: the nexus between self-determination and expectation confirmation model120 cited
2023Understanding e-satisfaction, continuance intention, and e-loyalty toward mobile payment application during COVID-19: an investigation using the electronic technology continuance model102 cited
2023Does artificial intelligence (AI) boost digital banking user satisfaction? Integration of expectation confirmation model and antecedents of artificial intelligence enabled digital banking101 cited
2023Understanding the adoption context of China’s digital currency electronic payment85 cited
2023The Impact of Mobile Payment Application Design and Performance Attributes on Consumer Emotions and Continuance Intention85 cited
2021Drivers of Digital Transformation Adoption: A Weight and Meta-Analysis79 cited
2024Factors influencing continuance intention to use mobile banking: an extended expectation-confirmation model with moderating role of trust75 cited
2023Continuance intention in financial technology: a framework and meta-analysis68 cited
2021Understanding Ant Forest continuance: effects of user experience, personal attributes and motivational factors57 cited
2022Blockchain technology acceptance by investment professionals: a decomposed TPB model53 cited
2023Unveiling digital transformation: Investigating technology adoption in Vietnam's food delivery industry for enhanced customer experience49 cited
2023What determines digital accounting systems’ continuance intention? An empirical investigation in SMEs39 cited
2023Does perceived behavioral control mediate customers' innovativeness and continuance intention of e-money? The moderating role of perceived risk and e-security38 cited
2023Mobile payment service quality: a new approach for continuance intention33 cited
2022Human–Computer Interaction (HCI) and Trust Factors for the Continuance Intention of Mobile Payment Services30 cited
2022Factors Affecting Medical Students’ Continuance Intention to Use Mobile Health Applications29 cited