EconPapers    
Economics at your fingertips  
 

The role of attributional judgments when adopted computing technology fails: a comparison of Microsoft Windows PC user perceptions of Windows and Macs

A. Vishwanath and Katherine H. LaVail

Behaviour and Information Technology, 2013, vol. 32, issue 11, 1155-1167

Abstract: The bulk of research to date on diffusion of innovations and the user acceptance of computing technology has focused on modelling the factors that lead to a user's decision to adopt and use a technology, instead of how individuals use technology and experience it after adoption. The current paper explores how users rationalise failures in their adopted innovations; their biases in the assessment of competing technologies; and the ultimate influence of these attributions on their interpersonal word of mouth communication with other users. The findings of the research point to the mechanisms of ego enhancement and innovativeness influencing users’ reactions to the failure of their adopted computing technology. Biases regarding competing technologies are, however, influenced by information presented in the mass media. Experienced users and users who are technologically innovative are more likely to exhibit biased optimism towards the technology they have adopted. When such users hear about the failure of the computing technology they have adopted, they are far more likely to blame other users for it. In contrast, less innovative, later adopters of a technology are far more likely to blame their adopted technology and consider it to be inferior.

Date: 2013
References: Add references at CitEc
Citations:

Downloads: (external link)
http://hdl.handle.net/10.1080/0144929X.2012.751620 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:taf:tbitxx:v:32:y:2013:i:11:p:1155-1167

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/tbit20

DOI: 10.1080/0144929X.2012.751620

Access Statistics for this article

Behaviour and Information Technology is currently edited by Dr Panos P Markopoulos

More articles in Behaviour and Information Technology from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().

 
Page updated 2025-03-20
Handle: RePEc:taf:tbitxx:v:32:y:2013:i:11:p:1155-1167