Examining the Influence of Teaching Presence and Task-Technology Fit on Continuance Intention to Use MOOCs

Purpose The long-term success of internet banking (IB) services is connected with continuous use. Therefore, examining factors which influence IB user continuance intention is important. Grounded in technology continuance theory, bank transparency and task technology fit (TTF) model, the purpose of this study is to develop a unified technology continuance model to investigate IB user continuance intention. Design/methodology/approach The research model was empirically tested with 348 responses. Respondents included in this study had prior experience with IB services. For hypotheses testing, the structural equation modelling approach was used. Findings Findings indicate that the research model has substantial power in explaining IB user continuance intention. Importance performance matrix analysis revealed that bank transparency had the highest importance in determining IB user continuance intention. Therefore, factors like user satisfaction and perceived usefulness have shown a medium level of importance in determining IB user continuance intention. Satisfaction is influenced by perceived usefulness and confirmation and established a significant impact on IB user continuance intention. Practical implications The findings of this research are useful for bank managers and policymakers to develop and design IB services according to user’s expectations. Results demonstrate that expectation confirmation and perceived usefulness are antecedents of IB user satisfaction and IB user continuance intention. In addition to that bank, transparency has shown a significant effect on user expectation and IB user continuance intention. These findings established that accuracy in sharing bank information and clarity in transaction charges encourage the user to continue the use of IB services. Originality/value The current study develops a unified technology continuance model based on the TTF model and technology continuance theory and investigates IB user continuance intention. Moreover, bank transparency is added in the technology continuance model and established a significant impact towards user expectation confirmation and continuance intention. These findings contribute to the limited body of research in the context of IB user continuance intention and enrich information system literature.

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Perceived fit and satisfaction on web learning performance: IS continuance intention and task-technology fit perspectives

International Journal of Human-Computer Studies ◽

10.1016/j.ijhcs.2012.01.006 ◽

2012 ◽

Vol 70 (7) ◽

pp. 498-507 ◽

Cited By ~ 91

Author(s):

Wen-Shan Lin

Keyword(s):

Learning Performance ◽

Perceived Fit ◽

Continuance Intention ◽

Task Technology Fit ◽

Web Learning ◽

And Task

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Task Technology Fit in Online Transaction Through Apps

Optimizing E-Participation Initiatives Through Social Media - Advances in Wireless Technologies and Telecommunication ◽

10.4018/978-1-5225-5326-7.ch010 ◽

2018 ◽

pp. 236-251

Author(s):

Naser Valaei ◽

S. R. Nikhashemi ◽

Hwang Ha Jin ◽

Michael M. Dent

Keyword(s):

User Satisfaction ◽

Mobile Apps ◽

Task Characteristics ◽

Intention To Use ◽

Mobile Banking ◽

Continuance Intention ◽

Online Transactions ◽

Task Technology Fit ◽

Task Characteristic

The purpose of this chapter is to examine what aspects of task-technology characteristics are most relevant to fit, satisfaction, and continuance intention of using apps in mobile banking transactions. Applying the SEM approach to a sample of 250 Malaysians, the findings of this chapter imply that the task characteristic of transaction-based apps is more relevant than technology characteristics. The results suggest that degree of fit is highly associated with mobile apps user satisfaction. Furthermore, the higher the degree of fit, the higher is the continuance intention to use apps for online transactions. Surprisingly, the findings show that the task characteristics are not relevant to continuous intention to use apps for online transactions.

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Exoskeletons in the Supermarket: Influences of Comfort, Strain Relief and Task-Technology Fit on Retail Workers' Post-Trial Intention to Use

Companion of the 2021 ACM/IEEE International Conference on Human-Robot Interaction ◽

10.1145/3434074.3447200 ◽

2021 ◽

Author(s):

Sandra Maria Siedl ◽

Matthias Wolf ◽

Martina Mara

Keyword(s):

Intention To Use ◽

Strain Relief ◽

Task Technology Fit ◽

Post Trial ◽

Retail Workers ◽

And Task

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Kuwaiti Hospital Patients’ Continuance Intention to Use Telemedical Systems in the Wake of the COVID-19 Pandemic: Survey Study Among Patients (Preprint)

10.2196/preprints.26992 ◽

2021 ◽

Author(s):

Ibtesam Almutairi

Keyword(s):

Service Quality ◽

Information Quality ◽

Survey Study ◽

Intention To Use ◽

System Quality ◽

Continuance Intention ◽

Quantitative Research Methods ◽

Patient’S Satisfaction ◽

Relationship Of ◽

The Relationship

BACKGROUND Telemedicine is a system using telecommunication technologies to diagnose, treat, and monitor patients by healthcare physicians and specialists in many developing countries such as Kuwait. Telemedicine services have proven to be successful in reporting and tracking patient records, delivering, real time monitoring, providing correct medications, and early detection of clinical decline. Covid-19 pandemic period have reinforced telemedicine system’s benefits even more in Kuwait. OBJECTIVE The objective of this study is to investigate factors influencing patients’ continuance intention to use telemedicine after the COVID-19 pandemic in the medical sector of Kuwait. METHODS The updated Delone and Maclean (2003) model was utilized to investigate the aforementioned factors. As such, this research applied quantitative research methods with a sample of 290 participants from patients in Dar Al Shifa Hospital, a private hospital in Kuwait which utilizes telemedical services called ‘Sehaty online’. The corresponding data was analyzed using SmartPLS. RESULTS The findings of this study revealed that the relationship of both telemedicine’s information quality and system quality with patient’s satisfaction are significant with (β = 0.377, t = 5.612, P < 0.001), (β = 0.295, t = 4.397, P < 0.001) respectively. While the relationship of service quality and patient’s satisfaction is not significant with (β = -0.056, t = 0.894, P > 0.05). patient’s satisfaction relationship with patients’ continuance intention to use telemedicine found to be significant with (β = 0.403, t = 8.732, P < 0.001). CONCLUSIONS It has been concluded that information quality and system quality have a positive and significant influence on patient’s satisfaction, whereas service quality has an insignificant influence on patient’s satisfaction. Also, patients’ continuance intention to use telemedicine is found to be significantly impacted by their satisfaction.

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