This paper investigates the dynamics between state affect and trusting cognitive beliefs on post-adoptive information technology (IT) use behaviors in the form of intention to explore and deep structure usage. That state affect can influence behaviors is recognized in practice. In fact, some studies examine the impact of affective constructs, but the way state affect impacts how individuals use IT remains largely unexplored. The authors theorize that state affect, in the form of positive and negative affect, will influence trusting cognitive beliefs regarding an IT artifact (in terms of perceived helpfulness, capability and reliability) and, more importantly, directly influence intention to explore and deep structure usage.
The authors test the model using a sample of 357 IT users. Survey items were derived from established measures, and the data were analyzed using structural equation modeling.
Results of this study suggest that positive affect and negative affect impact trusting cognitive beliefs. Trusting cognitive beliefs positively impact intention to explore with an IT and deep structure usage of an IT. Even in the presence of trusting beliefs, though, positive affect directly impacts intention to explore. Positive affect and negative affect both also have various indirect, mediated effects on intention to explore and deep structure usage.
In order to maximize value from workplace IT, the results suggest managers foster an authentic, positive work environment in order to harness or redirect employees' emotional energies.
The authors would like to acknowledge the earlier version of this paper “The Affect Effect: State Affect, Cognitions and IT Usage” which was presented at the Southern Association for Information Systems 2020.
The authors also would like to acknowledge financial support received from the University of South Carolina Upstate RISE grant.
Dinger, M., Wade, J.T., Dinger, S., Carter, M. and Thatcher, J.B. (2023), "Affect and information technology use: the impact of state affect on cognitions and IT use", Internet Research, Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1108/INTR-01-2022-0024
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