Examining the influence of technological self-efficacy, perceived trust, security, and electronic word of mouth on ICT usage in the education sector.

Examining the influence of technological self-efficacy, perceived trust, security, and electronic word of mouth on ICT usage in the education sector.

Publication date: Jul 13, 2024

The context of education has changed due to revolutionary developments in the information communication technology (ICT) industry in the post-COVID era. Innovative learning methods were introduced in the education sector to promote quality education. The students find it more convenient to use ICT tools to integrate their knowledge-seeking. China has recently paid more attention to developing and adopting electronic infrastructure. The study assesses the effect of technology self-efficacy (TSE) on ICT acceptance and implementation in China’s education sector. It also analyzed the role of perceived trust, perceived security, and electronic word of mouth (eWOM) in integrating digital information sharing and interaction tools. Data is collected from 382 business students at Chinese universities. The results revealed that perceived trust mediates the relationship between TSE and the actual use of ICT tools, intention to use ICT tools for information, and intention to use ICT tools for interaction. Further, perceived security and eWOM significantly moderate the relationship between TSE and perceived trust. The findings indicate that it is essential to offer assistance and instruction to students in the educational sector so they can use ICT technology more frequently. It is also crucial for organizations to establish a supportive culture and provide the necessary technological resources to facilitate the use of ICT.

Open Access PDF

Concepts Keywords
Business Actual use
China Adult
Covid China
Learning Computer Security
Universities COVID-19
Female
Humans
Information Technology
Male
Perceived security
Perceived trust
Self Efficacy
Students
Surveys and Questionnaires
Technology self-efficacy
Trust
Universities
Young Adult

Semantics

Type Source Name
disease VO mouth
disease IDO quality
drug DRUGBANK Coenzyme M
disease MESH COVID 19
drug DRUGBANK Spinosad
disease IDO process
disease VO effective
disease VO time
disease VO viability
disease VO population
disease IDO history
disease VO efficient
disease VO effectiveness
drug DRUGBANK Trestolone
disease VO Aves
disease IDO algorithm
drug DRUGBANK Phosphatidyl serine
disease MESH causality
disease VO protocol
drug DRUGBANK S-Arsonocysteine
disease VO Equity
disease VO efficiency
disease IDO country
drug DRUGBANK Ademetionine
drug DRUGBANK Guanosine
disease MESH uncertainty

Original Article

(Visited 2 times, 1 visits today)