Abstract
Management Science tries to enable managers and decision-makers to take the desired solutions to guide systems toward their objectives. This requires identifying the different dimensions of the system. Organizations and enterprises are complex systems associated with uncertainties in dynamic business contexts, that interact with their environments. Due to pressures such as collaborations with their customers, suppliers, their environment, the seek for innovations, etc., the performance may be changed by internal and external risks and opportunities that push and pull the enterprises like forces. Thanks to Physics of Decision (PoD), by identifying these pressures according to the organization’s features and objectives, unstable conditions due to the forces, can be detected and identified as risks and opportunities. This article attempts to present a time-dependent dynamic framework, based on a physical approach to identify risks and opportunities seen as forces applied on Organizations and Enterprises.
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Moradkhani, N., Faugère, L., Jeany, J., Lauras, M., Montreuil, B., Benaben, F. (2020). A Physics-Based Enterprise Modeling Approach for Risks and Opportunities Management. In: Grabis, J., Bork, D. (eds) The Practice of Enterprise Modeling. PoEM 2020. Lecture Notes in Business Information Processing, vol 400. Springer, Cham. https://doi.org/10.1007/978-3-030-63479-7_23
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