Do I really have to? User acceptance of mandated technology
By Susan A. Brown, Anne P. Massey, Mitzi M. Montoya, James R. Burkman. European Journal of Information Systems, 2002
849 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/7b9cd3467148faae14e152f9c3ae7bb0f2780b70
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
- V. Venkatesh
- James Y. L. Thong
- Frank K. Y. Chan
- Arun Rai
- Kar Yan Tam
- P. H. Hu
- Yogesh Kumar Dwivedi
- Susan A. Brown
In Organizational Behavior and Human Resource Management
- James Y. L. Thong
- V. Venkatesh
- Frank K. Y. Chan
- Susan A. Brown
- Kar Yan Tam
- Arun Rai
- P. H. Hu
- Stacie C. Petter
In Sociology and Political Science
- V. Venkatesh
- James Y. L. Thong
- Frank K. Y. Chan
- Kar Yan Tam
- P. H. Hu
- Susan A. Brown
- Arun Rai
- Yogesh Kumar Dwivedi
Citations in the corpus
- Modeling Citizen Satisfaction with Mandatory Adoption of an E-Government Technology (2010, methodology): “Instead, user satisfaction, not behavioral intention to use the system, is the more appropriate dependent variable when the system in question is large scale and integrated, and its use is mandated (Brown et al., 2002; Brown et al., 2008).”
- Technology acceptance model: a literature review from 1986 to 2013 (2014, background): “[5 9 ] E x te n si o n In tr o d u ct io n o f th e fa ct o r p er ce iv ed b eh a vi o ra l co n tr o l to th e m o d el”
- Extending the Technology Acceptance Model to assess automation (2011, methodology): “For example, research on mandatory use (Adamson and Shine 2003; Brown et al. 2002), as well as studies on ADASs (Chen and Chen 2011; Xu et al.”
- THE TECHNOLOGY ACCEPTANCE MODEL: ITS PAST AND ITS FUTURE IN HEALTH CARE (2009, neutral): “Among moderating or contextual factors, one worth exploring may be the voluntariness of health IT use [46,50,102,110].”
- Motivational Differences Across Post-Acceptance Information System Usage Behaviors: An Investigation in the Business Intelligence Systems Context (2013, background): “RTN, or employees’ routine use of IS in their work, may differ as employees exhibit significant variance in the extent to which they standardize and integrate IS use in their work (Brown et al. 2002, Hartwick and Barki 1994).”
- A meta-analytic assessment of the DeLone and McLean IS success model: An examination of IS success at the individual level (2009, background): “Some studies found differences in technology acceptance between voluntary and mandatory systems [6].”
- Avoidance of Information Technology Threats: A Theoretical Perspective (2009, background): “For example, Brown et al. (2002) find that TAM and TPB do not work well in explaining mandatory IT usage because the user’s goal is to avoid punishment, which differs from the assumed goal of improving performance.”
- Extending the two‐stage information systems continuance model: incorporating UTAUT predictors and the role of context (2011, background): “Sixth, as e-government services evolve from being voluntary to mandatory (i.e. the only way to conduct certain transactions is to use e-government services), alternate dependent variables, such as satisfaction, will be important (see Brown et al ., 2002).”