Expectation Confirmation in Technology Use.

Author List: Brown, Susan A.; Venkatesh, Viswanath; Goyal, Sandeep;

Information Systems Research, 2012, Volume 23, Issue 2, Page 474-487.

We propose a model to study expectation confirmation in information systems. The proposed model is based on the assimilation-contrast model and prospect theory, and suggests that both are needed to account for the magnitude and direction of the deviations between experiences and expectations. Using the technology acceptance model's (TAM) primary construct-namely, perceived usefulness-expectations and experiences were conceptualized and operationalized to test our model. Data were collected in a field study from 1,113 participants at two points in time. Using polynomial modeling and response surface analysis, we demonstrated that our model offers a good explanation of the relationship among information systems expectations, experiences, and use. We discuss theoretical and practical implications.

Keywords: cognitive dissonance theory; polynomial modeling; response surface analysis; TAM; technology acceptance

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List of Topics

#136	0.336	expectations expectation music disconfirmation sales analysis vector experiences modeling response polynomial surface discuss panel new nonlinear period understand paper dissonance
#140	0.286	model use theory technology intention information attitude acceptance behavioral behavior intentions research understanding systems continuance models planned percent attitudes predict
#108	0.223	model research data results study using theoretical influence findings theory support implications test collected tested based empirical empirically context paper
#209	0.092	results study research information studies relationship size variables previous variable examining dependent increases empirical variance accounting independent demonstrate important addition