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A cross‐cultural examination of the impact of social, organisational and individual factors on educational technology acceptance between B ritish and L ebanese university students

Year: 2014

Type: article

Abstract: This paper examines the social, organisational and individual factors that may affect students' acceptance of e‐learning systems in higher education in a cross‐cultural context. A questionnaire was developed based on an extended technology acceptance model ( TAM ). A total sample of 1173 university students from two private universities in L ebanon and one university in E ngland participated in this study. After performing the satisfactory reliability and validity checks, the hypothesised model was estimated using structural equation modeling. The findings of this study revealed that perceived usefulness ( PU ), perceived ease of use ( PEOU ), social norms ( SN s), perceived quality of work life ( QWL ), computer self‐efficacy ( SE ) and facilitating conditions ( FC ) are significant determinants of behavioural intentions (BIs) and usage of e‐learning system for the L ebanese and B ritish students. QWL , the newly added variable, was found the most important construct in explaining the causal process in the model for both samples. Differences were found between L ebanese and B ritish students with regard to PEOU , SN , QWL , FC , SE and actual usage; however, no differences were detected in terms of PU and BI . Overall, the proposed model achieves acceptable fit and explains for 69% of the B ritish sample and 57% of the L ebanese sample of its variance which is higher than that of the original TAM . Our findings suggest that individual, social and organisational factors are important to consider in explaining students' BI and usage of e‐learning environments.

Source: British Journal of Educational Technology

DOI: 10.1111/bjet.12169

Authors: Ali Tarhini, Kate Hone, Xiaohui Liu

Institution: Brunel University of London

Language: English

Topic: Technology Adoption and User Behaviour

Subfield: Information Systems and Management

Field: Decision Sciences

Domain: Social Sciences

SDG: Quality education

Open Access status: hybrid

Estimated APC paid: $4,250