Structuring computer-mediated communication systems to avoid information overload
Communications of the ACM
Journal of Information Science
Computer support of groups: theory-based models for GDSS research
Management Science
What does it take for successful executive information systems?
Decision Support Systems - Special issue on executive information systems
Asynchronous learning networks as a virtual classroom
Communications of the ACM
Decision Support Systems and Intelligent Systems
Decision Support Systems and Intelligent Systems
Human Problem Solving
Journal of Management Information Systems
Information overload: addressing the productivity paradox in face-to-face electronic meetings
Journal of Management Information Systems - Special section: Exploring the outlands of the MIS discipline
Reexamining Threat Rigidity: Implications for Design
HICSS '09 Proceedings of the 42nd Hawaii International Conference on System Sciences
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Collaboration technology enhances the ability of work groups to acquire and share large volumes of information within a short period. The processing of voluminous information is challenging and may lead to conditions of information overload. The issue of complexity of information processing in collaboration technology supported group work, and the mechanisms to overcome the information overload conditions have not received sufficient attention in the past. In this paper, we attempt to address this gap by building a theoretical model and validating it through a laboratory experiment. Based on prior research on information processing at individual level, we propose that information processing in groups that use group support systems (GSS) is shaped by input information complexity and time pressure. We examine information processing of GSS-supported groups to perform tasks involving cognitive conflict. We demonstrate that information processing has an inverted U-shaped relationship with input information complexity and a positive relationship with time pressure. The study also demonstrates that the inclusion of a decision schema that incorporates aggregate level information gleaned from the work of prior groups engaged in a similar decision situation alleviates the information overload, enabling groups to process larger and more complex information.