Theory of planning behavior (TPB) and customer satisfaction in the continued use of e-service: An integrated model

By Chechen Liao, Jian-Liang Chen, David Chi-Chung Yen. Computers in Human Behavior, 2007

747 citations recorded by the source corpus.

Subfields: Information Systems and Management, Organizational Behavior and Human Resource Management, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/1c9b7d44613c4e4cd07023a083506fe8a8ddc6ac

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Citations in the corpus

Explaining and predicting users' continuance intention toward e-learning: An extension of the expectation-confirmation model (2010, background): “Much evidence has shown that gender differences can cause discrepancies in the effects of satisfaction, perceived behavioral control, and subjective norm on a user’s behavioral intention (Liao et al., 2007).”
Extending the Theory of Planned Behavior to Explain the Effects of Cognitive Factors across Different Kinds of Green Products (2019, background): “It has been widely used and extended in many studies, such as new system adoption behavior [19], e-service usage [20], oil palm smallholder planters’ intention [21], microblogging intention [22], and purchase intention for organic clothing [23] and energy-efficient appliances [24].”
Intimacy, familiarity and continuance intention: An extended expectation-confirmation model in web-based services (2011, methodology): “Liao et al. (2007) developed an integrated model designed to predict and explain an individual’s continued use of online services based on the concepts of EDT and the Theory of Planning Behavior (TPB).”
Critical success factors for e-commerce entrepreneurship: an empirical study of Thailand (2009, background): “In a competitive business environment, the issue of quality service and service excellence are increasingly more important (Hagg et al. 2000; Rowley 2006; Liao et al. 2007 ).”
Mobile Banking Adoption: An Examination of Technology Acceptance Model and Theory of Planned Behavior (2013, methodology): “…to use a particular online system (Chen and Ching, 2002; Chen et al., 2002; Heijden et al., 2003; Guriting and Ndubisi, 2006; Khalifa and Shen, 2008; Liao et al., 2007; Lin and Chang, 2011; Lin and Wang, 2005; Lai and Yang, 2009; Luarn and Lin, 2005; Nysveen et al., 2005; Wei et al., 2009).”
Determinants of satisfaction and continuance intention towards self-service technologies (2009, background): “It indicates that the effect of “word-of-mouth” still has the significant influence on PU in the post-consumption stage (Liao et al., 2007).”
Enhancing perceived interactivity through network externalities: An empirical study on micro-blogging service satisfaction and continuance intention (2012, background): “It supports the findings that ease of use is still important in the post-adoption phase [32].”