Technology acceptance: a meta‐analysis of the TAM: Part 2
By Shumaila Y. Yousafzai, Gordon Foxall, John Pallister. 2007
297 citations recorded by the source corpus.
Subfields: Communication, Information Systems and Management, Sociology and Political Science
View Paper: https://www.semanticscholar.org/paper/d9f1a121ad7a49d9d65be3c0daff07e90425347a
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Communication
In Information Systems and Management
- Andreas Geyer-Schulz
- Stefanie Schreiber
- Daniel Baier
- Yuxiang (Chris) Zhao
- A. Rese
- Xiaojie Tan
- Kewen Wu
- Qinghua Zhu
In Sociology and Political Science
- Andreas Geyer-Schulz
- Stefanie Schreiber
- Daniel Baier
- Yuxiang (Chris) Zhao
- A. Rese
- Xiaojie Tan
- Hennie R. Boeije
- Kewen Wu
Citations in the corpus
- THE TECHNOLOGY ACCEPTANCE MODEL: ITS PAST AND ITS FUTURE IN HEALTH CARE (2009, unknown): “There is also evidence that how strongly PEOU, or other variables for that matter, is related to attitudes, behavioral intentions, or actual use depends on factors such as subject type and technology type [36].”
- A meta-analysis of the impact of trust on technology acceptance model: Investigation of moderating influence of subject and context type (2011, methodology): “This result is partially supported by previous meta-analysis studies conducted by King and He (2006), Yousafzai, Foxall, and Pallister (2007b) and Schepers and Wetzels (2007).”
- How augmented reality apps are accepted by consumers : a comparative analysis using scales and opinions (2017, background): “Despite its popularity, TAM has been criticized with regard to measure validation and measurements “resulting in conflicting and somewhat confusing findings which vary considerably in terms of statistical significance, direction and magnitude” (Yousafzai et al., 2007a, p.1746).”
- Factors influencing acceptance of technology for aging in place: A systematic review (2014, background): “Acceptance esearch is also criticized for being too reliant on TAM and TAUT, overlooking essential determinants [30,31,26].”