The contingent effect of personal IT innovativeness and IT self-efficacy on innovative use of complex IT

Wei Wang, Xixi Li and JJ Po-An Hsieh

Behaviour and Information Technology, 2013, vol. 32, issue 11, 1105-1124

Abstract: While organisational investment in complex information technologies (IT) keeps growing, these technologies are often applied at a superficial level and fail to attain the promised benefits. To further extract the value potential of complex IT, this study investigates employee users' innovate with IT (IwIT), which is a post-acceptance behaviour that refers to individual users applying IT in novel ways to support their task performance. Drawing on the information system continuance (ISC) model, we propose a research framework with perceived usefulness (PU) and satisfaction (SAT) as the antecedents of IwIT. We further emphasise the contingent role of personal characteristics and include personal innovativeness with IT (PIIT) and IT self-efficacy (ITSE) as the moderators of the framework. We validate the model with data from users of two complex ITs: enterprise resource planning and business intelligence technologies. The results suggest that positioning personal factors as moderators significantly increases the explanatory power of the ISC model and offers a more comprehensive understanding about IwIT. Specifically, ITSE positively moderates the effect of PU and negatively moderates the effect of SAT on IwIT. The moderating role of PIIT, however, is subject to the specific type of IT of investigation.

Date: 2013
References: Add references at CitEc
Citations:

Downloads: (external link)
http://hdl.handle.net/10.1080/0144929X.2011.566940 (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:1105-1124

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

DOI: 10.1080/0144929X.2011.566940

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 ().