How individual characteristics influence people's evaluation towards information technology in different contexts
Xuequn Wang and
Yanjun Yu
Behaviour and Information Technology, 2015, vol. 34, issue 3, 286-293
Abstract:
Prior research on technology acceptance has primarily focused on understanding why individuals accept a particular technology, while very little is known about how individuals evaluate various types of technology, especially when they have different levels of experiences. In this research, we try to understand how individual characteristics influence their evaluation towards different types of technology. To test the research model empirically, a laboratory experiment was conducted, and the resulting data was used to test both measurement and structural models. Based on the statistic results, we found that people's need for cognition and originality cognitive style had different effects on technology evaluation in various contexts. This study sheds light on the rarely studied evaluation aspect of the technology acceptance. The main contribution of this study is that people employ different mechanisms to evaluate technology in different contexts, and individual characteristics play an important role in influencing technology evaluation.
Date: 2015
References: Add references at CitEc
Citations:
Downloads: (external link)
http://hdl.handle.net/10.1080/0144929X.2014.895045 (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:34:y:2015:i:3:p:286-293
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/tbit20
DOI: 10.1080/0144929X.2014.895045
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 ().