Release:
2017, Vol. 3. №1About the author:
Olga V. Nedoluzhko, Cand. Sci. (Econ.), Associate Professor, Department of Management, Vladivostok State University of Economics and Service; technosorb@mail.ruAbstract:
Nowadays the development of the intellectual capital of an organization is one of the most important strategic directions of development for the Russian economy, as it provides its transition to the sixth technological paradigm. This phenomenon is actively researched in papers by Russian and foreign scientists, however, the intellectual capital is not considered as a systematic object, which makes both creation of an object’s typology and the understanding of its possible evolution trajectories impossible. Comprehension and systematization of intellectual capital types diversity is an urgent task. The article offers the author’s approach to the classification of the intellectual capital of an organization using the categorical model “Information Criteria Row”. Using the model one may assume that the development of a complex object can be represented as a set of information criteria, each of which expresses some of its qualitative characteristics. In terms of using the model, the sequence of the information criteria that reflects the complication of the organization’s intellectual capital in its evolution is proved. Using this approach provided a classifying model for an organization’s intellectual capital, which was tested in Vladivostok State University of Economy and Service. The identified forms of the analyzed object allow to determine the development level of an organization’s intellectual capital as well as the possible trajectories of its evolution both in progressive and regressive directions. The received results can be used to implement the transition to researching the mechanism of intellectual capital phenomenon functioning, to more detailed study of evolutionary potential of an object and the directions of its development. Thus it will prove possible trajectories of its evolutionary development as a factor of forming of the knowledge-based economy.
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