It has been suggested that information overload decreases decision-making performance. This study empirically examines the mediating role of information (over-)load on the relationships between two system features (deep structure usage and system quality) and managerial performance using a mixed-method-approach (survey and interviews). It analyzes the relationships with respect to a state-of-the-art decision support system (DSS). Our results indicate that information overload adversely affects managerial performance and mediates the influence of system quality and deep structure usage on managerial performance. We find that system quality is positively related to information overload. Drawing on cognitive load theory, we hypothesize and confirm that deep structure usage reduces perceived information overload. Additional evidence from interviews further illustrate these results and show that information overload can be influenced in counter-intuitive ways by system aspects. Our results have important implications for the design of modern information system (IS) landscapes to support managerial performance. They draw attention to the importance of information overload as a mediating factor in the interrelationship among deep structure usage, system quality and managerial performance.
|Number of pages||17|
|Publication status||Published - 2019|
|Event||International Conference on Information Systems 2019 - Munich, Germany|
Duration: 15 Dec 2019 → 18 Dec 2019
|Conference||International Conference on Information Systems 2019|
|Abbreviated title||ICIS 2019|
|Period||15/12/19 → 18/12/19|
- Information overload
- Information systems success
- Mixed methods
Roetzel, P. G., & Fehrenbacher, D. D. (2019). On the role of information overload in information systems (IS) success: empirical evidence from decision support systems. Paper presented at International Conference on Information Systems 2019, Munich, Germany.