E-learning adoption intention and its key influence factors based on innovation adoption theory

Zhang, Lingxian; Wen, Hao; Li, Bingbing; Fu, Zetian; Cui, Shuang

doi:10.1016/j.mcm.2009.11.013

Cited by 54 publications

(43 citation statements)

References 3 publications

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“…When e-learning was consistent with learners' learning styles and compatibility of experiences, learners would have higher e-learning continuance intention. This result was consistent with some studies that compatibility positively affected e-learning intention (Chen, 2011;Duan et al, 2010;Lee et al, 2011;Liao, & Lu, 2008;Zhang et al, 2010).…”

Section: Discussion Course Flexibility As Well As Compatibility and Ssupporting

confidence: 93%

“…When elearning is helpful to the enhancement of effectiveness, e-learning continuance intention will be higher. The result in the present study revealed that relative advantage positively affected elearning intention, which was consistent with some study results (Chen, 2011;Duan et al, 2010;Lee et al, 2011;Liao, & Lu, 2008;Zhang et al, 2010). The result showed that relative advantage affected the low-degree-of-participation group more significantly than the high-degree-ofparticipation group.…”

Section: Effects Of the Factors In The Construct Of Innovation Adaptasupporting

confidence: 92%

“…Some study results also confirmed that compatibility positively affected intention (Chen, 2011;Duan et al, 2010;Lee et al, 2011;Liao, & Lu, 2008;Zhang et al, 2010). Van Slyke et al (2004) found that compatibility had the greatest effect on intention, but it was found in the present study that compatibility did not significantly affect intention for the high-degree-ofparticipation group.…”

Section: Effects Of the Factors In The Construct Of Innovation Adaptasupporting

confidence: 79%

“…Compatibility positively affected user attitude, and attitude affected intention to adopt (Cheung & Vogel, 2013). Some studies revealed that relative advantages and compatibility positively affected intention to adopt (Chen, 2011;Duan et al, 2010;Lee et al, 2011;Liao, & Lu, 2008;Zhang et al, 2010), whereas complexity negatively affected intention to adopt (Lee et al, 2011;Liao & Lu, 2008;Van Slyke et al, 2004;Zhang et al, 2010).…”

Section: Innovation Adoption Theorymentioning

confidence: 99%

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Alteration of Influencing Factors of Continued Intentions to Use e-Learning for Different Degrees of Adult Online Participation

Chang

2015

IRRODL

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The purpose of the present study was to investigate the variation of influencing factors of elearning continuance intention for different degrees of participation and to examine moderating effects of degrees of participation on influencing factors of e-learning continuance intention. Adoption Theory of Rogers were adopted in the present study. A research model including two constructs (curriculum and system as well as innovation adaptation) and eight influencing factors were proposed in the present study based on features of e-learning. The results revealed that the factors in the construct of curriculum and system could be varied for different degrees of learner participation. Among those factors, system quality and online interaction were the factors for the differences between low and high groups of participation. Furthermore, the factors in the construct of innovation adaptation could be varied for different degrees of participation. Among 34those factors, compatibility was the factor for the differences between low and high groups of participation. Degree of online participation demonstrated moderating effects on the influences of online interaction, relative advantage and compatibility in e-learning continuance intention.

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Section: Discussion Course Flexibility As Well As Compatibility and Ssupporting

confidence: 93%

Section: Effects Of the Factors In The Construct Of Innovation Adaptasupporting

confidence: 92%

Section: Effects Of the Factors In The Construct Of Innovation Adaptasupporting

confidence: 79%

Section: Innovation Adoption Theorymentioning

confidence: 99%

See 2 more Smart Citations

Alteration of Influencing Factors of Continued Intentions to Use e-Learning for Different Degrees of Adult Online Participation

Chang

2015

IRRODL

View full text Add to dashboard Cite

show abstract

“…In another study, the 33 influence factors included in the five aspects of innovation adoption according to the theory of Rogers were used to investigate the influence factors of e-learning adoption [30].…”

Section: E-learning Theoriesmentioning

confidence: 99%

The evaluation of i-SIDRA – a tool for intelligent feedback – in a course on the anatomy of the locomotor system

Fernández-Alemán

López-González

González-Sequeros

et al. 2016

International Journal of Medical Informatics

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Prioritizing the Critical Success Factors of E‐Learning Systems by Using DEMATEL

Mehta¹,

Sharma²

2023

Redefining Virtual Teaching Learning Pedagogy

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E-learning adoption intention and its key influence factors based on innovation adoption theory

Cited by 54 publications

References 3 publications

Alteration of Influencing Factors of Continued Intentions to Use e-Learning for Different Degrees of Adult Online Participation

Alteration of Influencing Factors of Continued Intentions to Use e-Learning for Different Degrees of Adult Online Participation

The evaluation of i-SIDRA – a tool for intelligent feedback – in a course on the anatomy of the locomotor system

Prioritizing the Critical Success Factors of E‐Learning Systems by Using DEMATEL

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