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Explaining and predicting information systems acceptance and success: an integrative model

Seen, Megan, Rouse, Anne and Beaumont, Nicholas 2007, Explaining and predicting information systems acceptance and success: an integrative model, in ECIS2007 Conference Proceedings, University of St. Gallen, Switzerland, pp. 1356-1367.

Document type: Conference Paper
Collection: Deakin Graduate School of Business
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Title Explaining and predicting information systems acceptance and success: an integrative model
Author(s) Seen, Megan
Rouse, Anne
Beaumont, Nicholas
Conference name European Conference on Information Systems (15th : 2007 : St Gallen, Switzerland)
Conference location St Gallen, Switzerland
Conference dates 7-9 June 2007
Title of proceedings ECIS2007 Conference Proceedings
Editor(s) Winter, Robert
Osterie, Hubert
Publication date 2007
Conference series European Conference on Information Systems
Start page 1356
End page 1367
Publisher University of St. Gallen
Place of publication Switzerland
Keyword(s) critical mass
diffusion of innovations
quality systems software case study
Summary This paper proposes a new model – the Information Systems Acceptance (ISA) model - to explain and predict IS acceptance. Drawing on previous literature, and the results of a series of case studies, the ISA model integrates four sets of factors influencing IS acceptance: (i) technology characteristics; (ii) management actions; (iii) service quality; and (iv) system use, user satisfaction and system outcomes. These sets of factors are drawn from well-established frameworks. Building on established theories, the model incorporates previous research, overcomes some of the limitations associated with these individual theories, and assembles IS acceptance factors into a comprehensive and useable conceptual framework.
Language eng
Field of Research 150302 Business Information Systems
HERDC Research category E1 Full written paper - refereed
Copyright notice ©2000 - 2005, LSE IS Department
Persistent URL http://hdl.handle.net/10536/DRO/DU:30008201
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