Risks in the Management of Corporate Intellectual Potential
Alena Yurievna Bulatetskaya
Alena Yurievna Bulatetskaya, Candidate of Sociological Sciences, Perm State National Research University, Perm, Russian Federation.
Manuscript received on 5 August 2019. | Revised Manuscript received on 10 August 2019. | Manuscript published on 30 September 2019. | PP: 1744-1749 | Volume-8 Issue-3 September 2019 | Retrieval Number: C4596098319/19©BEIESP | DOI: 10.35940/ijrte.C4596.098319
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The article analyzes the risks that arise in the process of managing intellectual potential, including determining the prerequisites for their occurrence, as well as studying possible ways to prevent their manifestation and negative impact on the results of the corporation. As a result of the analysis, systematization, and generalization of scientific views, key factors of risk origin have been formulated in the context of intellectual potential management. Within the framework of the problematics, a possible classification of risks that has practical value in the management process has been substantiated – according to the stages of the reproduction of intellectual potential, the impact on the result over time and the structural elements of intellectual resources. Key risks associated with each structural element of intellectual potential have been identified and described. A number of measures have been proposed, the fulfillment of which will help reduce the level of influence of risks in the management of intellectual potential on the process of activity of economic entities. Detailing and improving such methods are the basis for further research in this direction.
Keywords: risk, intellectual potential, intellectual capital, intellectual resources, intellectual property, corporation, risk classification, risk management.
Scope of the Article: Data Management