Abstract
The paper explores and provides an argument to a conceptual perspective to building an adaptive management framework at the enterprise through insights into a range of different approaches to understanding of an adaptive management category and constructing a structural and logical pattern. The adaptation issues as such are critical for enterprises operating in a rapidly changing external environment, since the regularity of adjustment problems encourages the search for new effective solutions in terms of relevant responding to changes. The company adaptive management contributes to balancing supply opportunities against the changes in demand. Thus, it is crucial to implement changes through forecasting the external environment settings within the selected industry segments to design scenarios and possible demand for limited resources in the markets. For these reasons, while constructing the structural and logical framework for developing adaptive enterprise management, the factors affecting the external environment have been thoroughly investigated. The key specific feature of the conceptual approach in building effective adaptive management is its closed loop system underpinned by the major management principles. It is argued that since the free choice of input data related to the object under study (the enterprise) cannot be carried out, it seems hardly possible to construct an accurate model. The use of basic management principles to perform calculations for an adaptive management model against the reference model involves large-scale calculations triggering certain problems in real time. On the other hand, the benefits of the direct method are the possibility to adjust the parameters directly and reduce the number of calculations, thus eliminating the need to build an accurate model for the object under study (the enterprise). Since the configuration of adaptive management with augmented error tends to be more complicated, the paper suggests a relevant structural and logical framework to build effective adaptive management system in the enterprise.
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