Extension of The development methodology for hybrid multi-scale AB-SD simulation modeling in learning organizations
Subject Areas :Keywords: hybrid multi scale simulation, agent -based modeling, system dynamics modeling, learning organization,
Abstract :
Performing the concurrent analysis of organizational, departmental and individual scales alongside macro and micro levels of abstraction in temporal, spatial and event-driven contexts may significantly clarify the concept of learning, and develops the opportunities for effective policy making accordingly. It would also help to improve the performance indicators of the system and its involved agents globally. Due to Ignorance of aforementioned concurrent analysis, the relationship between organizational learning and learning in lower scales has been ambiguous, and monitoring the effect of organizational learning on organization performance indicators has been neglected. Hence, whether organizational learning is an effective factor in the amplitude of organization competitive advantages or not has remained a serious question yet. However, a potential solution to this question has got conceivable through the multi-method system modeling perspective. Design and analysis of integrated multi-scale learning in organizations are now possible through hybrid modeling and simulation and the extended methodology presented in this research along with the related architecture. The outcome is a plain platform which embraces lucid modeling of complex abstract concepts including learning in organizations comprehensively. Future case studies may be required to further confirm the applicability of this methodology and underpin its administrative value.
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