TY - JFULL AU - Hui-Min Lai and Chin-Pin Chen and Yung-Fu Chang PY - 2016/8/ TI - Expectation-Confirmation Model of Information System Continuance: A Meta-Analysis T2 - International Journal of Educational and Pedagogical Sciences SP - 2324 EP - 2330 VL - 10 SN - 1307-6892 UR - https://publications.waset.org/pdf/10004920 PU - World Academy of Science, Engineering and Technology NX - Open Science Index 115, 2016 N2 - The expectation-confirmation model (ECM) is one of the most widely used models for evaluating information system continuance, and this model has been extended to other study backgrounds, or expanded with other theoretical perspectives. However, combining ECM with other theories or investigating the background problem may produce some disparities, thus generating inaccurate conclusions. Habit is considered to be an important factor that influences the user’s continuance behavior. This paper thus critically examines seven pairs of relationships from the original ECM and the habit variable. A meta-analysis was used to tackle the development of ECM research over the last 10 years from a range of journals and conference papers published in 2005–2014. Forty-six journal articles and 19 conference papers were selected for analysis. The results confirm our prediction that a high effect size for the seven pairs of relationships was obtained (ranging from r=0.386 to r=0.588). Furthermore, a meta-analytic structural equation modeling was performed to simultaneously test all relationships. The results show that habit had a significant positive effect on continuance intention at p ER -