Individual differences and usage behavior: revisiting a technology acceptance model assumption

By Andrew Burton-Jones, Geoffrey S. Hubona. DATB, 2005

328 citations recorded by the source corpus.

Subfields: Communication, Information Systems and Management, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/3dc64299effb2a9f952802608a72dde3e5342ed5

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Communication

1. Monideepa Tarafdar
2. Roy Rada
3. Heather K. Holden

In Information Systems and Management

1. Pearl Brereton
2. David Budgen
3. Mark Turner
4. Monideepa Tarafdar
5. Barbara A. Kitchenham
6. Roy Rada
7. T. S. Ragu-Nathan
8. Heather K. Holden

In Sociology and Political Science

1. Monideepa Tarafdar
2. T. S. Ragu-Nathan
3. Pearl Brereton
4. Mark Turner
5. Barbara A. Kitchenham
6. Roy Rada
7. David Budgen
8. Heather K. Holden

Citations in the corpus

• Does the technology acceptance model predict actual use? A systematic literature review (2010, background): “The same was also done if several different ways of measuring actual usage were included in the study, and the study reported the correlations to all of the different actual usage measures rather than accumulating the measures into a single usage metric [1,5,8,21,34,40,44].”
• The effects of technostress and switching stress on discontinued use of social networking services: a study of Facebook use (2015, neutral): “We also include individual differences in terms of age (Burton-Jones & Hubona, 2005), gender (Venkatesh & Morris, 2000), dispositional resistance to change (Maier et al. 2015), neuroticism and extraversion (Eckhardt et al., 2015) as control variables that may influence individual behaviour.”
• The Consequences of Technostress for End Users in Organizations: Conceptual Development and Empirical Validation (2008, background): “In the technology acceptance literature, Burton-Jones and Hubona (2005) found that age negatively influences perceived ease of ICT use.”
• Understanding the Influence of Perceived Usability and Technology Self-Efficacy on Teachers’ Technology Acceptance (2011, methodology): “A common theme in this particular body of research is the necessity of further investigation of the direct and indirect effects of external variables to better understand the generalities of their influences (Burton-Jones & Hubona, 2005; Hubona & Burton-Jones, 2002; Hubona & Geitz, 1997).”