Enterprise risk management: Applications of economic modeling and information technology

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Factory floors throughout the global economy are rapidly transforming themselves into potentially fertile laboratories for research in the cognitive sciences. The information revolution has challenged our understanding of perception and cognition. Innovations in information technologies have also provided us with new methods and environments for the study of cognition.

On the business and economic front, information technology is supporting the development of new corporate information systems-Enterprise Systems-that will revolutionize the decision-making, reporting and reward environments in corporations. These systems are pervasive and transforming. At all levels, employees will be presented with potentially unlimited amounts of accurate, real-time information and will be expected to use that information effectively. The possibilities for research, especially for modeling the learning and decision-making processes, are unparalleled. Research conducted in these environments offers extraordinary opportunities to address research questions formerly requiring limited synthetic environmental situations. Data collected in firms as they deploy enterprise information systems can be more extensive and accurate and more easily quantified than data from traditional synthetic experiments. Research programs in these settings can also address more complex problems of human interaction and collaborativity.

This article describes the aspects of enterprise systems that will be of greates interest to cognitive scientists. It also outlines the nature of potential collaboration between economists and cognitive scientists and offers a list of outstanding questions for systems design and development.

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Ries, C.P. Enterprise risk management: Applications of economic modeling and information technology. Mind & Society 2, 1–8 (2001) doi:10.1007/BF02512355

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  • Cognitive modeling
  • research opportunities
  • economics
  • decision-making
  • enterprise systems
  • enterprise risk management
  • systems design and development
  • corporations and manufacturing applications
  • information technology