Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/6700
Title: The contingent effect of personal IT innovativeness and IT self-efficacy on innovative use of complex IT
Authors: Wang, W
Li, X
Hsieh, JJPA
Keywords: Post\-acceptance use
Innovate with IT
Complex information technologies
Personal innovativeness with IT
IT self\-efficacy
IS continuance
Issue Date: 27-May-2013
Publisher: Taylor & Francis
Source: Behaviour & information technology, 2013, v. 32, no. 11, p. 1105-1124 How to cite?
Journal: Behaviour & information technology 
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.
URI: http://hdl.handle.net/10397/6700
ISSN: 0144-929X (print)
1362-3001 (online)
DOI: 10.1080/0144929X.2011.566940
Rights: © 2013 Taylor & Francis
This is an Accepted Manuscript of an article published by Taylor & Francis Group in Behaviour & Information Technology on 27 May 2011, available online at: http://www.tandfonline.com/10.1080/0144929X.2011.566940
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