This study investigated the impact of contingent variables on the relationship between four predictors and employees' behavioral intention with e-learning. Seven hundred and twenty-two employees in online training and education were asked to answer questionnaires about their learning styles, perceptions of the quality of the proposed predictors and behavioral intention with e-learning systems. The results of analysis showed that three contingent variables, gender, job title and industry, significantly influenced the perceptions of predictors and employees' behavioral intention with the e-learning system. This study also found a statistically significant moderating effect of two contingent variables, gender, job title and industry, on the relationship between predictors and e-learning system behavioral intention. The results suggest that a serious consideration of contingent variables is crucial for improving e-learning system behavioral intention. The implications of these results for the management of e-learning systems are discussed. © 2011 Springer-Verlag Berlin Heidelberg.
CITATION STYLE
Liao, P., Yu, C., & Yi, C. (2011). The impact of individual differences on E-learning system behavioral intention. In Communications in Computer and Information Science (Vol. 143 CCIS, pp. 359–364). https://doi.org/10.1007/978-3-642-20367-1_58
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