2017
DOI: 10.1080/0144929x.2017.1380703
|View full text |Cite
|
Sign up to set email alerts
|

Factors affecting e-training adoption: an examination of perceived cost, computer self-efficacy and the technology acceptance model

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

5
40
0

Year Published

2020
2020
2024
2024

Publication Types

Select...
6
3

Relationship

0
9

Authors

Journals

citations
Cited by 65 publications
(56 citation statements)
references
References 26 publications
5
40
0
Order By: Relevance
“…The other factors, such as personal innovativeness, self-efficacy, and convenience were found to have no relationship with the actual adoption of Alipay. The findings were in agreement with Kabra et al (2017) and Zainab et al (2017) who revealed that personal innovativeness and self-efficacy did not affect the usage of technology. This may indicate that Malaysians are lacking confidence and skills in adopting mobile payment services due to inadequate exposure.…”
Section: Direct Effectsupporting
confidence: 90%
“…The other factors, such as personal innovativeness, self-efficacy, and convenience were found to have no relationship with the actual adoption of Alipay. The findings were in agreement with Kabra et al (2017) and Zainab et al (2017) who revealed that personal innovativeness and self-efficacy did not affect the usage of technology. This may indicate that Malaysians are lacking confidence and skills in adopting mobile payment services due to inadequate exposure.…”
Section: Direct Effectsupporting
confidence: 90%
“…This type of technologyspecific self-efficacy has been adapted to different contexts, such as smartphones [51,52]. Previous studies have confirmed the positive relationship between technology-specific self-efficacy and TAM dimensions [37,[53][54][55][56][57]. The results illustrate that technology-specific self-efficacy has an important effect, both direct and indirect, on the intention to use the system.…”
Section: Individual Differencesmentioning
confidence: 57%
“…Moreover, as users of technology, PU and PEU of employees have a strong positive effect on their IU. Thus, it contributes by showing the significant impact of IS in establishing the desired attitude amongst employees toward technology adoption through appropriate measures of institutional support ( Zainab et al, 2017 ). IS may include measures such as awareness sessions, training needs assessment, and incentives for early adopters ( Kim and Rha, 2018 ).…”
Section: Discussionmentioning
confidence: 99%
“…Most research efforts have focused on digital technologies from a learner perspective, and rather little is known about the role of perceived organizational support and employees at such universities that have the capacity to implement online education management systems. A plethora of studies is available on numerous kinds of organizations for technology upgrades, customers' behavior, employee attitudes, and organizational change as a whole for varying technologies (Rahayu and Day, 2015;Alalwan et al, 2016;Atkin et al, 2017;Ukpabi and Karjaluoto, 2017;Zainab et al, 2017;Alzahrani et al, 2018;Chuang, 2018;Roy et al, 2018). Interestingly, there is a barrage of studies on educational technology adoption, but most of it focuses on student samples, and little is known about the drivers of employee attitudes toward the use of technology in institutions (Nistor et al, 2014).…”
Section: Introductionmentioning
confidence: 99%