Much ado has been made regarding user acceptance of new information technologies. However, research has been primarily based on cognitive models and little attention has been given to emotions. This paper argues that emotions are important drivers of behaviors and examines how emotions experienced early in the implementation of new IT applications relate to IT use. We develop a framework that classifies emotions into four distinct types: challenge, achievement, loss, and deterrence emotions. The direct and indirect relationships between four emotions (excitement, happiness, anger, and anxiety) and IT use were studied through a survey of 249 bank account managers. Our results indicate that excitement was positively related to IT use through task adaptation. Happiness was directly positively related to IT use and, surprisingly, was negatively associated with task adaptation, which is a facilitator of IT use. Anger was not related to IT use directly, but it was positively related to seeking social support, which in turn was positively related to IT use. Finally, anxiety was negatively related to IT use, both directly and indirectly through psychological distancing. Anxiety was also indirectly positively related to IT use through seeking social support, which countered the original negative effect of anxiety. Post hoc ANOVAs were conducted to compare IT usage of different groups of users experiencing similar emotions but relying on different adaptation behaviors. Thepaper shows that emotions felt by users early in the implementation of a new IT have important effects on IT use. As such, the paper provides a complementary perspective to understanding acceptance and antecedents of IT use. By showing the importance and complexity of the relationships between emotions and IT use, the paper calls for more research on the topic.
This paper defines user adaptation as the cognitive and behavioral efforts performed by users to cope with significant information technology events that occur in their work environment. Drawing on coping theory, we posit that users choose different adaptation strategies based on a combination of primary appraisal (i.e., a user's assessment of the expected consequences of an IT event) and secondary appraisal (i.e., a user's assessment of his/her control over the situation). On that basis, we identify four adaptation strategies (benefits maximizing, benefits satisficing, disturbance handling, and self-preservation) which are hypothesized to result in three different individual-level outcomes: restoring emotional stability, minimizing the perceived threats of the technology, and improving user effectiveness and efficiency. A study of the adaptation behaviors of six account managers in two large North American banks provides preliminary support for our model. By explaining adaptation patterns based on users' initial appraisal and subsequent responses to an IT event, our model offers predictive power while retaining an agency view of user adaptation. Also, by focusing on user cognitive and behavioral adaptation responses related to the technology, the work system, and the self, our model accounts for a wide range of user behaviors such as technology appropriation, avoidance, and resistance.