Sustainable Entrepreneurship: Interval Analysis in Risk Management and Uncertain Economies

Alexander Chupin (), Zhanna Chupina, Marina Bolsunovskaya, Svetlana Shirokova, Zinaida Kulyashova and Tatyana Vorotinceva
Additional contact information
Alexander Chupin: Faculty of Economics, Peoples’ Friendship University of Russia (RUDN University), 6 Miklukho-Maklaya Street, 117198 Moscow, Russia
Zhanna Chupina: Faculty of Economics, Peoples’ Friendship University of Russia (RUDN University), 6 Miklukho-Maklaya Street, 117198 Moscow, Russia
Marina Bolsunovskaya: Graduate School of Intelligent Systems and Supercomputing Technologies, Peter the Great St. Petersburg Polytechnic University (SPbPU), 29 Polytechnicheskaya Street, 195251 St. Petersburg, Russia
Svetlana Shirokova: Graduate School of Business Engineering, Peter the Great St. Petersburg Polytechnic University (SPbPU), 29 Polytechnicheskaya Street, 195251 St. Petersburg, Russia
Zinaida Kulyashova: Graduate School of Intelligent Systems and Supercomputing Technologies, Peter the Great St. Petersburg Polytechnic University (SPbPU), 29 Polytechnicheskaya Street, 195251 St. Petersburg, Russia
Tatyana Vorotinceva: Faculty of Economics, Peoples’ Friendship University of Russia (RUDN University), 6 Miklukho-Maklaya Street, 117198 Moscow, Russia

Sustainability, 2024, vol. 16, issue 18, 1-25

Abstract: Sustainable management in high-tech enterprises is a key aspect of successfully operating modern companies, especially under conditions of risk and uncertainty. This study reviews the field of sustainable management and interval analysis and identifies the main trends and challenges facing high-tech enterprises in the modern world. This study emphasizes the importance of applying interval analysis in making strategic decisions and developing sustainable business models that can adapt to variable environments. This paper presents empirical data, illustrating the practical application of interval analysis tools in the management in high-tech enterprises. It analyzes the effectiveness and potential of this approach to increase the levels of sustainability and competitiveness of organizations in constantly changing business environments. In general, this article is a valuable contribution to the development of sustainable management theory and practice for high-tech enterprises, enriching the existing knowledge in this area and offering new perspectives for research and practical application. Our research has been validated and is presented in the results section. The purpose of this study is to present current developments in methodologies and tools for risk measurement within the probabilistic paradigm of uncertainty, which are supposed to be used in relation to the economic evaluation of real investment projects. The methodological directions or approaches to risk measurement formed in this context are (1) based on quantile measures, within which the quantitative aspect of risk is modeled using quantile quantiles of the distribution of a random variable describing the possible (predicted) results of economic activity; (2) the Monte Carlo method, which is a tool for evaluating the indicators of economic efficiency and risk in justifying real investments, taking into account different distribution laws and mutual relations for the financial and economic parameters of the investment project, as well as its computational and instrumental elaboration.

Keywords: sustainability; entrepreneurship; economic uncertainty; risk management; interval analysis; mathematical modeling; economic systems (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/2071-1050/16/18/8263/pdf (application/pdf)
https://www.mdpi.com/2071-1050/16/18/8263/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:16:y:2024:i:18:p:8263-:d:1483646

Access Statistics for this article

Sustainability is currently edited by Ms. Alexandra Wu

More articles in Sustainability from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().