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.
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.