A study of hotel employee behavioral intentions towards adoption of information technology
By T. Lam, Vincent Cho, Hailin Qu. 2007
297 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/f7952313735b26ba06e2f64de38c2f891a30f717
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
- Arun Kumar Kaushik
- R. Law
- T. G. Kim
- Tung-Ching Lin
- Zillur Rahman
- Amit Kumar Agrawal
- Chien-chih Huang
- Jae Hyoung Lee
In Organizational Behavior and Human Resource Management
- Arun Kumar Kaushik
- R. Law
- T. G. Kim
- Tung-Ching Lin
- Zillur Rahman
- Amit Kumar Agrawal
- Jae Hyoung Lee
- Dimitrios Buhalis
In Sociology and Political Science
- Arun Kumar Kaushik
- R. Law
- T. G. Kim
- Tung-Ching Lin
- Zillur Rahman
- Amit Kumar Agrawal
- Chien-chih Huang
- Jae Hyoung Lee
Citations in the corpus
- An empirical examination of the acceptance behaviour of hotel front office systems: An extended technology acceptance model (2008, methodology): “The shorter the time needed for hotel employees to master the skills of IT, the greater their motivation to accept IT will be (Lam et al., 2007).”
- Understanding knowledge management system usage antecedents: An integration of social cognitive theory and task technology fit (2008, background): “[24] Explore influence of perceived IT beliefs, TTF, attitude, self-efficacy, and subjective norm on behavioral intention (BI) to adopt IT in hotels in Hangzhou, China”
- A study on the adoption of IoT smart home service: using Value-based Adoption Model (2017, unknown): “…National Tax Bureau, Hung, Chang, and Yu (2006) studied the positive influence attitude towards the system had on intention to use, and in a study on IT systems of Chinese hotels, Lam, Cho, and Qu (2007) identified that employees’ attitude towards IT had a meaningful impact on intention to use.”
- Factors Influencing University Students’ Behavioral Intention to Use Generative Artificial Intelligence: Integrating the Theory of Planned Behavior and AI Literacy (2024, unknown): “These findings are consistent with those of Lam et al. (2007), Chang et al. (2017), and Revythi and Tselios (2019), who suggest a relationship between behavioral intention and attitudes toward using technology.”
- Tourist behaviour towards self-service hotel technology adoption: Trust and subjective norm as key antecedents (2015, background): “The selection of any SST depends on several factors such as degree of complexity (Rogers, 1995), nature of the service to be delivered (Ong, 2010), size of the service firm, perception of staff members (Lam et al., 2007), and the type of service customers (Epstein, Pacini, Denes-Raj, & Heier, 1996).”