Intelligent agent systems for executive information scanning, filtering and interpretation: Perceptions and challenges

Authors:
Mark Xu;Vincent Ong;Yanqing Duan;Brian Mathews
Affiliations:
Portsmouth Business School, University of Portsmouth, Portland street, Portsmouth, Hampshire PO1 3DE, UK;Bedfordshire Business School, University of Bedfordshire, Luton, Bedfordshire LU1 3JU, UK;Bedfordshire Business School, University of Bedfordshire, Luton, Bedfordshire LU1 3JU, UK;Bedfordshire Business School, University of Bedfordshire, Luton, Bedfordshire LU1 3JU, UK
Venue:
Information Processing and Management: an International Journal
Year:
2011

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Abstract

Using intelligent agent-based systems to support information processing for executives has not been significantly advanced in both theory and practice. Research into this field tends to focus more on technical aspects than on social perspective. When executives are faced with increasing information availability and uncertainty in the business environment, using intelligent agent-based systems to enhance executives' information processing capability appears both an opportunity and a necessity. This study examines UK executives' perceptions of intelligent agent-based systems for information scanning, filtering, interpretation and alerting. The study follows a deductive research design, i.e. hypothesis formulation and testing from the user's perspective. Qualitative data was collected through focus groups and interviews with executives in the UK. The study produces rich evidence that challenges preconceptions of using agent-based information processing system by executives. The findings develop insight into executives' behavior in information processing, which has implications for intelligent system developers and organizational information processing practice.