2011
DOI: 10.1080/10580530.2011.536115
|View full text |Cite
|
Sign up to set email alerts
|

Knowledge Mobilization Through E-Learning Systems: Understanding the Mediating Roles of Self-Efficacy and Anxiety on Perceptions of Ease of Use

Abstract: Knowledge mobilization is about translating new knowledge into practice. Virtual learning processes play an important role in diffusing knowledge. This study addresses the personal and cognitive dimensions of virtual learning. A survey (n = 403) was conducted to understand how individual characteritics influence perceptions of ease of use of e-learning systems. Our findings show that e-learning system self-efficacy and computer anxiety mediate the effects of personal innovativeness with IT and computer playful… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

1
15
0
1

Year Published

2012
2012
2021
2021

Publication Types

Select...
7
1
1

Relationship

0
9

Authors

Journals

citations
Cited by 31 publications
(17 citation statements)
references
References 95 publications
1
15
0
1
Order By: Relevance
“…Law et al (2010) found a wellfacilitated e-learning setting can enhance self-efficacy for online learning, while Song et al (2011) found prior knowledge of online system put a direct effect on online efficacy and participants. Jashapara and Tai (2011) found personal innovativeness with information technology (IT) showed a significant effect on e-learning system self-efficacy, and computer playfulness had a significant positive effect on e-learning system self-efficacy. Zhang et al (2012) found the psychological safety communication climate as a predictor, Shen et al (2013) found the number of online courses, Wang et al (2013) found motivation as a palpable predictor and Chiu and Tsai (2014) found the associated social factors influence self-efficacy for online education.…”
Section: Rq2 Factors Influencing Self-efficacy In Online Educationmentioning
confidence: 99%
“…Law et al (2010) found a wellfacilitated e-learning setting can enhance self-efficacy for online learning, while Song et al (2011) found prior knowledge of online system put a direct effect on online efficacy and participants. Jashapara and Tai (2011) found personal innovativeness with information technology (IT) showed a significant effect on e-learning system self-efficacy, and computer playfulness had a significant positive effect on e-learning system self-efficacy. Zhang et al (2012) found the psychological safety communication climate as a predictor, Shen et al (2013) found the number of online courses, Wang et al (2013) found motivation as a palpable predictor and Chiu and Tsai (2014) found the associated social factors influence self-efficacy for online education.…”
Section: Rq2 Factors Influencing Self-efficacy In Online Educationmentioning
confidence: 99%
“…If a learner is not expecting a learning environment where knowledge is not obtained passively (Jashapara & Tai, 2011)-as is often the case in a traditional learning environment-then he or she will exhibit great stress. Such a learning environment requires learners to have a firm belief in their own abilities (Aslim-Yetiş & Çapan, 2013) to accomplish a given task.…”
Section: A Lack Of Self-efficacymentioning
confidence: 99%
“…Foreign language educators are no doubt aware of the national guidelines set forth by the American Council on the Teaching of Foreign Languages (ACTFL) (2012): learners studying a foreign language must be able to communication orally in that target language. From a learners' perspective, however, an inability may exist preventing some learners from mobilizing knowledge (Jashapara & Tai, 2011). The idea of actively using information requires a person to incorporate elements of andragogy, self-efficacy, and motivation (Chametzky, 2013b) that might not be within the ability of a learner.…”
Section: An Inability To Use Knowledgementioning
confidence: 99%
“…Other scholars found perceived ease of use to be an important predictor of behavioral intentions toward online education (i.e., Ong & Lai, 2006;Sánchez & Hueros, 2010). Jashapara and Tai (2011) argued that although people may have different levels of computer experience, innovativeness, and playfulness in e-learning settings, self-efficacy and anxiety play a crucial role in influencing their attitudes toward e-learning. Lack of technological expertise was revealed as the result to fear of working in e-learning environment (Middleton, 2009).…”
Section: E-learningmentioning
confidence: 99%