Behavioral Intention of Women to Use E-Learning

Hasan A. Abbas

International Journal of Technology and Human Interaction2024https://doi.org/10.4018/ijthi.343520article
ABDC C
Weight
0.50

What the paper says

Behavioral intention research suggests that it can effectively predicts intention to adopt information technology and emphasizes the importance of examining antecedents of such use. However, the literature also highlights that individual behavioral intentions can be affected by external factors and social influences. Current study examines the impacts of different factors (quality, social, behavioral, and innovative) on behavioral intention to use e-learning system. We designed special instruments to examine female students' behavioral intention to adopt e-learning system by extending the TPB as foundational framework. An extension of TPB is used with McLean & Delone and Innovative Theory to enhance the overall theoretical framework. Survey data collected from 699 female e-learning participants to test the study hypotheses. Findings suggested that subjective norms, self-efficacy, environment quality, and perceived innovativeness presented significant associations to behavioral intention of e-learning. Research implications and limitations are also examined and discussed.

2 citations

Open paper page →

Cite this paper

https://doi.org/https://doi.org/10.4018/ijthi.343520

Or copy a formatted citation

@article{hasan2024,
  title        = {{Behavioral Intention of Women to Use E-Learning}},
  author       = {Hasan A. Abbas},
  journal      = {International Journal of Technology and Human Interaction},
  year         = {2024},
  doi          = {https://doi.org/https://doi.org/10.4018/ijthi.343520},
}

Paste directly into BibTeX, Zotero, or your reference manager.

Flag this paper

Behavioral Intention of Women to Use E-Learning

Flags are reviewed by the Arbiter methodology team within 5 business days.


Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.48 × 0.4 = 0.19
M · momentum0.55 × 0.15 = 0.08
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.