2015
DOI: 10.1016/j.chb.2015.01.016
|View full text |Cite
|
Sign up to set email alerts
|

Satisfaction and continuous use intention of e-learning service in Brazilian public organizations

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

6
60
4
9

Year Published

2015
2015
2021
2021

Publication Types

Select...
7
3

Relationship

1
9

Authors

Journals

citations
Cited by 80 publications
(79 citation statements)
references
References 59 publications
6
60
4
9
Order By: Relevance
“…In the field of elearning, TAM could not only be used for predicting adoption behavior, but also for measuring the learning satisfaction, continuous intention to use e-learning (Pereira, Ramos, Gouvêa, & Costa, 2015), loyalty to elearning (Sánchez-Franco, Peral-Peral, & Villarejo-Ramos, 2014), course outcomes, and academic performance using e-learning (Arbaugh, 2014). The features of technology: interactivity, personalisation, accessibility, mobility, and the choice of media to present the contents (Agudo-Peregrina, Hernández-García, & Pascual-Miguel, 2014); individual characteristics such as personal innovativeness in information technology, computer self-efficacy, and demographic variables (Chow et al, 2013;Thatcher & Perrewe, 2002);the course characteristics of learning resources, course content, tutor quality, and course quality (Persico, Manca, & Pozzi, 2014;Teo, 2014); and other variables such as social influence (or social norm) and flow (Wu & Zhang, 2014), are incorporated into TAM to enhance the understanding of adopting.…”
Section: Theoretical Background Technology Acceptance Modelmentioning
confidence: 99%
“…In the field of elearning, TAM could not only be used for predicting adoption behavior, but also for measuring the learning satisfaction, continuous intention to use e-learning (Pereira, Ramos, Gouvêa, & Costa, 2015), loyalty to elearning (Sánchez-Franco, Peral-Peral, & Villarejo-Ramos, 2014), course outcomes, and academic performance using e-learning (Arbaugh, 2014). The features of technology: interactivity, personalisation, accessibility, mobility, and the choice of media to present the contents (Agudo-Peregrina, Hernández-García, & Pascual-Miguel, 2014); individual characteristics such as personal innovativeness in information technology, computer self-efficacy, and demographic variables (Chow et al, 2013;Thatcher & Perrewe, 2002);the course characteristics of learning resources, course content, tutor quality, and course quality (Persico, Manca, & Pozzi, 2014;Teo, 2014); and other variables such as social influence (or social norm) and flow (Wu & Zhang, 2014), are incorporated into TAM to enhance the understanding of adopting.…”
Section: Theoretical Background Technology Acceptance Modelmentioning
confidence: 99%
“…There are numerous benefits that organisations implementing e-learning can realise, such as cost savings, an improvement in the learning process, an increase in access to instructors for learners, accommodation of various learning styles, dynamic course content, and high-quality training that can be structured or unstructured. Applications of e-learning have been noticed in several areas, including primary and higher education and corporate training as well as training for government employees (Pereira, Ramos, Gouvêa, & Da Costa, 2015).…”
Section: Introductionmentioning
confidence: 99%
“…This insight goes beyond other published studies aiming at developing exploratory and explanatory models. Examples in the latest research can be found in Peireira et al (2015), who elaborated on the factors shaping continuous e-learning uses, or , who defines barriers or influences without specifying context-specific contingencies and change processes (cf. Peireira et al, 2015).…”
Section: Innovating Research On Barriers-theorizing On the Barriers Tmentioning
confidence: 99%