The mediation of external variables in the technology acceptance model
By Andrew Burton-Jones, Geoffrey S. Hubona. Information Manager (The), 2006
493 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/be71b8b5856ce52d3103127d5ae87213565fa5fa
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
- Ali Abdallah Alalwan
- Nripendra P. Rana
- Yogesh Kumar Dwivedi
- James Y. L. Thong
- Raed Salah Algharabat
- V. Venkatesh
- Frank K. Y. Chan
- Jiun-Sheng Chris Lin
In Organizational Behavior and Human Resource Management
- Ali Abdallah Alalwan
- Nripendra P. Rana
- Yogesh Kumar Dwivedi
- Raed Salah Algharabat
- Hsing-Chi Chang
- Jiun-Sheng Chris Lin
- James Y. L. Thong
- Frank K. Y. Chan
In Sociology and Political Science
- Nripendra P. Rana
- Ali Abdallah Alalwan
- Yogesh Kumar Dwivedi
- James Y. L. Thong
- V. Venkatesh
- Frank K. Y. Chan
- Raed Salah Algharabat
- Jiun-Sheng Chris Lin
Citations in the corpus
- Understanding adoption of new technologies: Technology readiness and technology acceptance as an integrated concept (2012, background): “Generally, the model explains between 30% and 40% of system usage (Burton-Jones & Hubona, 2006; Legris, Ingham, & Collerette, 2003).”
- The role of technology readiness in self‐service technology acceptance (2011, methodology): “Among these models, the technology acceptance model (TAM), adapted from the theory of reasoned action (TRA), appears to be the most widely accepted ( Burton-Jones and Hubona, 2006”
- Technology acceptance model: a literature review from 1986 to 2013 (2014, background): “External predictors: external predictors for the prediction of the variables perceived usefulness and perceived ease of use such as technology anxiety [69], prior usage and experience [10, 63], self-efficiency [25], and confidence in technology [6]; 2.”
- An empirical examination of the acceptance behaviour of hotel front office systems: An extended technology acceptance model (2008, background): “In this way, much research has verified the external variables of a TAM (e.g., Amoako-Gyampah & Salam, 2004; Burton-Jones & Hubona, 2006; Hong et al., 2002; Hu, Clark, & Ma, 2003; Shang et al., 2005; Venkatesh & Davis, 2000).”
- Examining factors influencing Jordanian customers’ intentions and adoption of internet banking: Extending UTAUT2 with risk (2018, background): “…technology versus common and sociable technology); and individual attitude, perception, experience, and skills regarding the technology of interest (Burton-Jones and Hubona, 2006; Davis et al., 1989; Malaquias and Hwang, 2016; Malhotra and Galletta, 1999; Oliver and Dearden, 1985; Titah and Barki,…”
- Technology Acceptance among Physicians (2007, background): “External variables often exert significant indirect influence on behavioral intention to accept technology through both the attitudinal, perceived ease of use, and perceived usefulness constructs (Amoako-Gyampah and Salam 2004; Burton-Jones and Hubona 2006; Hwang 2005; James et al. 2006; S. Lee et”
- Perceived Convenience in an Extended Technology Acceptance Model: Mobile Technology and English Learning for College Students. (2012, background): “Therefore, researchers in fields related to information management (Burton-Jones & Hubona, 2006; Turel et al., 2007) and education (Annear & Yates, 2010; Sørebø et al., 2009; Tselios et al., 2011) have tended to perform the model analysis for latent variables by PLS.”
- Information technology (IT) in Saudi Arabia: Culture and the acceptance and use of IT (2007, background): “Of these many have used TAM [9,10] or made changes to it [4,13].”
- A Framework and Guidelines for Context-Specific Theorizing in Information Systems Research (2014, background): “Ultimately, this approach helps to simplify the relationships between the context-specific variables and the relevant dependent variables without sacrificing theoretical rationalization and reveal the actual effects of the context-specific variables (Burton-Jones and Hubona 2006).”