Examining technology acceptance by school teachers: a longitudinal study
By P. H. Hu, T. Clark, Will Wai-Kit Ma. Information Manager (The), 2003
616 citations recorded by the source corpus.
Subfields: Communication, Gender Studies, Information Systems and Management
View Paper: https://www.semanticscholar.org/paper/f3bac1749fc3c9de0cd91086a83d3f06db377b69
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Communication
- R. Law
- Francisco Muñoz-Leiva
- J. Castañeda
- Roy Rada
- Timothy Teo
- Yung-Ming Cheng
- Jeroen Bourgonjon
- Chwee Beng Lee
In Gender Studies
- Timothy Teo
- Ching Sing Chai
- Chwee Beng Lee
- Su Luan Wong
- Martin Valcke
- Athanassios Jimoyiannis
- R. Law
- Francisco Muñoz-Leiva
In Information Systems and Management
- Timothy Teo
- Chwee Beng Lee
- Ching Sing Chai
- Su Luan Wong
- R. Law
- Francisco Muñoz-Leiva
- Teodoro Luque
- J. Castañeda
Citations in the corpus
- The role of readiness for change in ERP implementation: Theoretical bases and empirical validation (2008, background): “Many, for example [18,19] found experimental evidence supporting this relationship.”
- Assessing the intention to use technology among pre-service teachers in Singapore and Malaysia: A multigroup invariance analysis of the Technology Acceptance Model (TAM) (2009, background): “Hu, Clark, and Ma (2003) added that because schools have fundamentally different objectives compared to business organizations, there is less peer competition among teachers in the use of and access to technology resources.”
- Examining teachers’ beliefs about ICT in education: implications of a teacher preparation programme (2007, background): “Recent studies (Hu et al., 2003; Ma et al., 2005) have found that teachers’ perceptions of ICT usefulness are significant in determining intentions to use ICT in their instruction.”
- Students' perceptions about the use of video games in the classroom (2010, background): “A common solution to this problem is to study the respondents' behavioral intentions instead (Chau, 1996; Hu, Clark, & Ma, 2003).”
- Web Acceptance Model (WAM): Moderating effects of user experience (2007, background): “Accordingly, we focused on intention as the dependent variable for three reasons [3,31].”
- Understanding the Influence of Perceived Usability and Technology Self-Efficacy on Teachers’ Technology Acceptance (2011, background): “Furthermore, teachers’ attitudes on the usefulness of such technologies are significant in determining their intentions to use them (Hu, Clark, & Ma, 2003; Ma, Andersson, & Streith, 2005).”
- Understanding pre-service teachers' computer attitudes: applying and extending the technology acceptance model (2007, background): “Hu et al. (2003) posited that because educational institutions (i.e. schools) have fundamentally different objectives compared with business organizations , teachers experience less peer competition in resources and promotions.”
- Antecedents and consequences of e‐learning acceptance (2011, background): “Many studies have suggested that extending the TAM with external variables may provide a more complete picture of the IS/IT acceptance process (Hu et al ., 2003; Kim et al ., 2008).”
- An empirical examination of the acceptance behaviour of hotel front office systems: An extended technology acceptance model (2008, background): “Examples of these factors include computer use experience (Yang, 2005; Zain, Rose, Abdullah, & Masrom, 2005), computer self-efficacy (Hu et al., 2003; Ong & Lai, 2006; Pituch & Lee, 2004), job relevance (Hu et al., 2003), and innovativeness (Lu, Yao, & Yu, 2005).”