Approaches to Ensuring the Sustainability of Industrial Enterprises of Different Technological Levels

Dmitriy Grigorievich Rodionov*, Evgenii Alexandrovich Konnikov and Olga Anatolievna Konnikova
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Dmitriy Grigorievich Rodionov*: Peter the Great St. Petersburg Polytechnic University, Polytechnicheskaya, 29, St. Petersburg, 195251, Russia
Evgenii Alexandrovich Konnikov: Peter the Great St. Petersburg Polytechnic University, Polytechnicheskaya, 29, St. Petersburg, 195251, Russia
Olga Anatolievna Konnikova: Saint-Petersburg State University of Economics, Sadovaya St., 21, St. Petersburg, 191023, Russia

The Journal of Social Sciences Research, 2018, 277-282 Special Issue: 3

Abstract: This article is aimed at determining the areas for ensuring the sustainability of development of an industrial enterprise, depending on whether it belongs to the high-tech or low-tech sector. Semantic analysis, correlation-regression analysis, fuzzy logic and real option are used as research tools. The results of the research demonstrate that sustainability of representatives of high-tech industries depends on the specifics of generation and integration of innovations, while for representatives of low-tech industries this factor is of little significance. As a result, two fundamentally different tools are proposed to ensure sustainability of enterprise development. For low-tech industrial enterprises it is a model for predicting the level of sustainability of counterparty development based on a real option, and for high-tech industrial enterprises, it is a model for evaluating the prospects of innovative solutions based on fuzzy logic. The formed tools, if used by industrial enterprises and public institutions, will help to balance the development of industry and, as a result, will allow the country to obtain stable competitive positions in the global economy.

Keywords: Low-tech industry; High-tech industry; Sustainable development; Economic growth; Financial condition; Bankruptcy; Qualitative change; Fuzzy set theory; Real option. (search for similar items in EconPapers)
Date: 2018
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Citations: View citations in EconPapers (2)

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