A quantitative methodology approach was adopted in this study. To test the hypothesized research model, data were collected from 569 undergraduate and postgraduate students studying in Lebanon via questionnaire. The collected data were analysed using structural equation modeling (SEM) technique based on AMOS methods and in conjunction with multi-group analysis. As hypothesized, the results of the study revealed perceived usefulness (PU), perceived ease of use (PEU), social norms (SN) and Quality of Work life (QWL) to be significant determinants of students' behavioral intention (BI). This provides support for the applicability of the extended TAM in the Lebanese context. Implications to both theory and practice of this study are discussed at the end of the paper.

This study seeks to explore the factors that influence students' usage behaviour of e-learning systems. Based on the strong theoretical foundation of the Unified Theory of Acceptance and Use of Technology (UTAUT) and using structural equation modeling (SEM) via AMOS 21.0, this research paper examines the impact of performance expectancy, effort expectancy, hedonic motivation, habit, social influence, and trust on student's behavioural intention, which is later examined along with facilitating conditions on student's usage behaviour of e-learning systems. Data was collected from students at two universities in Beirut (capital of Lebanon) using a cross-sectional questionnaire survey between January and March 2015. The results revealed direct positive effect of performance expectancy, hedonic motivation, habit, and trust on student's behavioural intention to use e-learning explaining around 71% of overall behavioural intention. Meanwhile, behavioural intention and facilitating conditions accounted for 40% with strong positive effects on student's usage behviour of e-learning systems. However, both effort expectancy and social influence did not impact student's behavioural intention.

Despite the prevalence and significance of e-learning in education, there is a dearth of published instruments for educational researchers and practitioners that measure users' acceptance of e-learning. To meet this need, Teo (2010) developed the E-learning Acceptance Measure (ElAM). The main objective of this paper is to validate the ElAM (Teo, 2010) across two cultures, one is from a European country: England, and the other from Asia: Lebanon. A total sample of 461 university students from two private universities in Lebanon (n=209) and one university in England (n= 252) participated in this study. Using confirmatory factor analyses, our findings revealed that the original 3-factor solution for ElAM (Teo, 2010) was supported and found to be adequate for the British sample, whereas the results revealed a bad fit for the Lebanese sample. Despite the differences, the ElAM was found to possess an acceptable level of internal consistency and item reliability for the pooled sample. Theoretical and practical implications are discussed at the end of the paper.

PurposeThis study investigated the impact of the virtualization requirements of the learning process on students' satisfaction and their intention to continue using online learning.Design/methodology/approachA research model was developed using the process virtualization theory (PVT); it was validated empirically using data obtained from an online questionnaire-based survey of 489 undergraduate students.FindingsThe main results support the role of representation for sensory requirements, sensory requirements, reach, representation for relationship requirements and relationship requirements on shaping students' satisfaction, which all also have a significant influence on students' intention to continue using online learning. Relevance factors are responsible for 61.6% of the variance in students' satisfaction and 83.6% of the variance in their intention to continue using online learning. However, neither the synchronism requirements nor the identification and control requirements had a significant effect on students' satisfaction or on their intention to continue using online learning.Originality/valueThe present research focused on PVT in an online learning context; consequently, a new set of factors that influenced students' satisfaction with and intentions to continue using online learning was empirically tested for the first time. This research contributes to the literature on information systems because it advances the generalizability and applicability of the PVT in a new context and new cultural setting. Moreover, the research apprises researchers and practitioners of new factors, which should be understood and fulfilled to make virtual learning equivalent to the face-to-face learning experience.

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