Paper Number
2160
Paper Type
short
Description
Emotions triggered by IT events have a decisive influence on IT use. Previous literature has focused on one point in time studies investigating the relationship between emotions and IT use. However, the process of perceiving an IT event, leading to emotions and changes in IT use proceeds dynamically over time. This research in progress paper concentrates on this process. We investigate how the change in perception of an IT event affects emotions and IT use over time. Therefore, we develop an online experiment simulating time pressure as an example of an IT event. During the experiment, data is collected at four different points in time. The data will be analyzed with a multivariate longitudinal latent growth model. We aim to enhance the current literature by capturing the dynamic changes in perceiving IT events, emotional responses, and subsequent changes in IT use over time.
Recommended Citation
Jung, Carolin; Schoch, Manfred; and Weinert, Christoph, "The Dynamics of IT Use: Uncovering the Interplay between the Perception of IT Events, Emotions, and Cognitive Absorption over Time" (2023). ICIS 2023 Proceedings. 21.
https://aisel.aisnet.org/icis2023/user_behav/user_behav/21
The Dynamics of IT Use: Uncovering the Interplay between the Perception of IT Events, Emotions, and Cognitive Absorption over Time
Emotions triggered by IT events have a decisive influence on IT use. Previous literature has focused on one point in time studies investigating the relationship between emotions and IT use. However, the process of perceiving an IT event, leading to emotions and changes in IT use proceeds dynamically over time. This research in progress paper concentrates on this process. We investigate how the change in perception of an IT event affects emotions and IT use over time. Therefore, we develop an online experiment simulating time pressure as an example of an IT event. During the experiment, data is collected at four different points in time. The data will be analyzed with a multivariate longitudinal latent growth model. We aim to enhance the current literature by capturing the dynamic changes in perceiving IT events, emotional responses, and subsequent changes in IT use over time.
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Comments
21-UserBehavior