Exploring Chinese users' acceptance of instant messaging using the theory of planned behavior, the technology acceptance model, and the flow theory
By Yao-bin Lu, Tao Zhou. Computers in Human Behavior, 2009
714 citations recorded by the source corpus.
Subfields: Information Systems and Management, Sociology and Political Science
View Paper: https://www.semanticscholar.org/paper/f071c0c2b70ff57c21f50ecf20c612ef1a334cbe
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Information Systems and Management
- Haemoon Oh
- T. Gebba
- Kevin Kam Fung So
- Ardion D. Beldad
- Sabrina M. Hegner
- Hyunsun Kim
- Mohamed Gamal Aboelmaged
- Chia-Chen Chen
In Sociology and Political Science
- Kevin Kam Fung So
- Haemoon Oh
- T. Gebba
- Ardion D. Beldad
- Sabrina M. Hegner
- Hyunsun Kim
- Mohamed Gamal Aboelmaged
- Chia-Chen Chen
Citations in the corpus
- Expanding the Technology Acceptance Model with the Inclusion of Trust, Social Influence, and Health Valuation to Determine the Predictors of German Users’ Willingness to Continue using a Fitness App: A Structural Equation Modeling Approach (2018, background): “…studies is that subjective norm or injunctive social norm significantly influences people ’ s intention to adopt various forms of technology such as instant messaging (Lu, Zhou, & Wang, 2009), mobile payment services (Yang, Lu, Gupta, Cao, & Zhang, 2012), and anti-spy software (Lee & Kozar, 2008).”
- Mobile Banking Adoption: An Examination of Technology Acceptance Model and Theory of Planned Behavior (2013, background): “Consequently, a growing body of research has focused on integrating TPB and TAM to examine technology adoption owing to the complimentary and explanatory power of the two models together (Aboelmaged, 2010; Chau and Hu, 2002; Chen et al., 2007; Hung et al., 2006; Lu et al., 2009; Wu and Chen, 2005).”
- What drives live-stream usage intention? The perspectives of flow, entertainment, social interaction, and endorsement (2018, background): “Past studies on social platforms (Hung et al., 2016), instant messaging (Lu et al., 2009), and websites (Van Noort et al., 2012) have pointed out that flow affects attitude, thereby impacting the intention to use the particular system or function.”
- What Makes Airbnb Experiences Enjoyable? The Effects of Environmental Stimuli on Perceived Enjoyment and Repurchase Intention (2020, background): “…and hospitality scholars have extensively adopted the M-R model to study tourists’ intentions to stay at hotels (I. Y. Lin 2009), to visit a destination (Lu, Zhou, and Wang 2009), and to spread positive word of mouth (Ha and Im 2012), thus highlighting the relevance of the theoretical model.”