Model for preventing bankruptcy of Ukrainian enterprises in force majeure circumstances
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DOIhttp://dx.doi.org/10.21511/ppm.20(4).2022.28
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Article InfoVolume 20 2022, Issue #4, pp. 365-381
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Given rapid changes in global financial and economic processes caused by rapid transformations in the institutional environment and the onset of force majeure circumstances, there is a need to develop new approaches to assessing the level of bankruptcy. Most models that estimate the probability of enterprise bankruptcy are based on internal information, while external information is used to a limited extent. The growing threat of force majeure requires using not only the existing discrete models but also those that consider the external environment of enterprises when assessing the probability of bankruptcy. The purpose of this study is to develop a model for preventingbankruptcy of Ukrainian enterprises in force majeure conditions based on the use of artificial intelligence methods ‒ the theory of fuzzy logic– which allows for a comprehensive assessment of bankruptcy prevention. The paper uses analytical data from the World Bank. The model consists of interrelated groups of factors: organizational, informational and legal, and economic. As a result, a comprehensive indicator of prevention of corporate bankruptcies (D) was calculated on a neurolinguistic scale from 0 to 10; the indicator was estimated for Ukraine (5.644) and Romania (4.520) (as countries close in terms of economic and geopolitical development). The simulation results show that the level of prevention of enterprises’ bankruptcy in Ukraine falls into the average interval.
- Keywords
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JEL Classification (Paper profile tab)G33, C45, М11
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References54
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Tables3
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Figures5
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- Figure 1. Increase in the number of bankruptcies in certain countries, % (the percentage of increase in the number of bankruptcies in the fourth quarter of 2020 by individual countries of the world (2007 is taken as 100%))
- Figure 2. Stages of building a model for preventing the bankruptcy of enterprises
- Figure 3. Membership functions of “y2 – index of legal responsibility of management”
- Figure 4. The tree of logical conclusion for hierarchical relationships of factors
- Figure 5. Management measures to prevent the bankruptcy of Ukrainian enterprises under the force majeure circumstances
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- Table 1. Knowledge bases and systems of fuzzy logic equations for dependence (4)
- Table 2. Systematization of factors for the proposed model (D)
- Table 3. Output data for modeling the level of prevention of corporate bankruptcies (D)
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- Alawadhi, A., Karpoff, J., Koski, J., & Martin, G. (2020). The prevalence and costs of financial misrepresentation. SSRN Electronic Journal.
- Altman, E. (1968). Financial Ratios, Discriminant Analysis and the Prediction of Corporate Bankruptcy. The Journal of Finance, 23(4), 589-609.
- Amiram, D., Bozanic, Z., Cox, J. D., Dupont, Q., Karpoff, J. M., & Sloan, R. (2018). Financial reporting fraud and other forms of misconduct: a multidisciplinary review of the literature. Review of Accounting Studies, 23, 732-783.
- Antill, S. (2022). Do the right firms survive bankruptcy? Journal of Financial Economics, 144(2), 523-546.
- Armstrong, C., Larcker, D., Ormazabal, G., & Taylor, D. (2013). The relation between equity incentives and misreporting: The role of risk-taking incentives. Journal of Financial Economics, 109(2), 327-350.
- Ata, H. M. A. B. (2019). Addressing financial bankruptcy from the Islamic perspective. Banks and Bank Systems, 14(3), 9-19.
- Aziz, M., & Dar, H. (2006). Predicting corporate bankruptcy: where we stand? Corporate Governance, 6(1), 18-33.
- Banerjee, D., & Rai, M. (2020). Social isolation in COVID-19: The impact of loneliness. International Journal of Social Psychiatry, 66(6), 525-527.
- Barsotti, F., Mancino, E., & Pontier, M. (2016). Switching tax structure and payouts in endogenous bankruptcy models. An International Journal of Probability and Stochastic Processes, 88(2), 163-190.
- Belitski, M., Beisheim, O., Kritikos, A., & Thurik, R. (2021). Economic effects of the COVID-19. Pandemic on Entrepreneurship and Small Businesses (Discussion Paper). DIW Berlin.
- Bergstresser, D., & Philippon, T. (2006). CEO incentives and earnings management. Journal of Financial Economics, 80(3), 511-529.
- Black, F., & Scholes, M. (1973). The pricing of options and corporate liabilities. Journal of Political Economy, 81(3), 637-654.
- Budiarso, N. S., & Pontoh, W. (2022). Market efficiency and global issues: A case of Indonesia. Investment Management and Financial Innovations, 19(4), 1-13.
- Bundesministerium der Justiz. (1994). Insolvenzrdnung. (In German).
- Chystal, M. (2019). Creating a path out of bankruptcy through action learning. Action Learning: Research and Practice, 16(1), 62-67.
- Davidson, R., Dey, A., & Smith, A. (2015). Executives’ “off-the-job” behavior, corporate culture, and financial reporting risk. Journal of Financial Economics, 117(1), 5-28.
- Deloitte. (2021). Global Health Care Outlook: Laying a foundation for the future.
- Dou, W., Taylor, L., Wang, W., & Wang, W. (2020). Dissecting bankruptcy frictions. Journal of Financial Economics, 142(3), 975-1000.
- Dufrene, U. (1993). A note on the bankruptcy reform act of 1978, an agency perspective. Managerial Finance, 19(6), 45-52.
- Fernandes, N. (2020). Economic Effects of Coronavirus Outbreak (COVID-19) on the Word Economy (IESE Business School Working Paper WP-1240-E). University of Navarra.
- Gavurova, B., Packova, M., Misankova, M., & Smrcka, L. (2017). Predictive potential and risks of selected bankruptcy prediction models in the Slovak business environment. Journal of Business Economics and Management, 18(6), 1156-1173.
- Ham, C., Lang, M., Seybert, N., & Wang, S. (2017). CFO narcissism and financial reporting quality. Jornal of Accounting Research, 55(5), 1089-1135.
- Hotchkiss, E., John, K., Mooradian, R., & Thorburn, K. (2008). Chapter 14 – Bankruptcy and the resolution of financial distress. In Handbook of empirical corporate (pp. 235-287). Elsevier.
- International Monetary Fund. (2022). Ukraine: Request for Purchase Under the Rapid Financing Instrument-Press Release; Staff Report; and Statement by the Executive Director for Ukraine.
- Jensen, M., & Meckling, W. (1976). Theory of the firm: Managerial behavior, agency costs and ownership structure. Journal of Financial Economics, 3(4), 305-360.
- Jia, Y., Lent, L., & Zeng, Y. (2014). Masculinity, testosterone, and financial misreporting. Journal of Accounting Research, 52(5), 1195-1246.
- Karpoff, J. M. (2021). The future of financial fraud. Journal of Corporate Finance, 66, 101694.
- Korneyev, M., Berezhniuk, I., Dzhyndzhoian, V., Kubakh, T., & Horb, K. (2022). Business marketing activities in Ukraine during wartime. Innovative Marketing, 18(3), 48-58.
- Kozlovskyi, S. V. (2001). Application of the latest methods of modeling the state of the currency market of Ukraine. Bulletin of the Ternopil Academy of National Economy, 12, 80-91.
- Kozlovskyi, S., Bilenko, D., Ivanyuta, N., Tomchuk, O., Prykaziuk, N., & Lobova, O. (2021). Comparative Assessment of the Different Cryptocurrencies Investment Efficiency on the Different Time Periods. Montenegrin Journal of Economics, 17(4), 189-198.
- Kozlovskyi, S., Butyrskyi, A., Poliakov, B., Bobkova, A., Lavrov, R., & Ivanyuta, N. (2019). Management and comprehensive assessment of the probability of bankruptcy of Ukrainian enterprises based on the methods of fuzzy sets theory. Problems and Perspectives in Management, 17(3), 370-381.
- Kozlovskyi, S., Nikolenko, L., Peresada, O., Pokhyliuk, O., Yatchuk, O., Bolgarova, N., & Kulhanik, O. (2020). Estimation level of public welfare on the basis of methods of intellectual analysis. Global Journal of Environmental Science and Management, 6(3), 355-372.
- Kozlovskyi, S., Petrunenko, Ia., Mazur, H., Butenko, V., & Ivanyuta, N. (2022). Assessing the probability of bankruptcy when investing in cryptocurrency. Investment Management and Financial Innovations, 19(3), 312-321.
- Lantara, D., Junaidi, J., Rauf, N., Pawennari, A., & Achmadm R. N. (2022). Indonesian Islamic banks: A review of the financial state before and after the COVID-19 pandemic. Banks and Bank Systems, 17(4), 12-24.
- Legifrance. (2000). Code de commerce. (In French).
- Lopushniak, H., Mylyanyk, R., Lopushniak, V., Shandar, A., & Leontenko, O. (2022). Managerial competencies in the training of specialists in public and corporate management in Ukraine. Problems and Perspectives in Management, 20(4), 88-110.
- Martaleni, M., Nasir, M.J.A., Khoiriyah, R., & Djawas, S. R. (2022). Attributes of halal tourism during the Covid-19 pandemic: An overview of the perceptions of Muslim tourists in Nusantara. Innovative Marketing, 18(4), 25-35.
- Matviychuk, A. (2013). Bankruptcy prediction in transformational economy: discriminant and fuzzy logic approaches. Fuzzy economic review, 15, 21-38.
- Mooradian, R. (1994). The effect of bankruptcy protection on investment: Chapter 11 as a screening device. The Journal of Finance, 49(4), 1403-1430.
- Msomi, T. S., & Nzama, S. (2022). Financial literacy and SME loan repayments in South Africa during the COVID-19 era. Investment Management and Financial Innovations, 19(4), 113-121.
- O’Sullivan, F. (2021). Pandemic lessons from the era of les miserable. Bloomberg.
- Polinkevych, O., Khovrak, I., Trynchuk, V., Klapkiv, Y., & Volynets, I. (2021). Business Risk Management in Times of Crises and Pandemics. Montenegrin Journal of Economics, 17(3), 99-110.
- Ritter, T., & Pedersen, C. (2020). Analyzing the impact of the coronavirus crisis on business models. Industrial Marketing Management, 88, 214-224.
- Rittigul, P., & Jindabot, T. (2022). An analysis of experienced life events on continuance intention to use online banking in Thailand. Banks and Bank Systems, 17(3), 213-226.
- Senbet, L., & Wang, T. (2012). Corporate financial distress and bankruptcy: A survey. Foundations and Trends in Finance, 5(4), 243-335.
- Serrano-Cinca, C., Fuertes-Callen, Y., Gutierrez-Nieto, B., & Cuellar-Fernandez, B. (2014). Path modelling to bankruptcy: causes and symptoms of the banking crisis. Applied Economics, 46(31), 3798-3811.
- Susanti, E., Marisa, L. H., & Endri, E. (2022). Determinants of sustainable consumption: Moderating role of pandemic fear. Innovative Marketing, 18(4), 123-132.
- The Organization for Economic Cooperation and Development. (2020). Timely Indicators of Entrepreneurship: Bankruptcies of Enterprises.
- The UK Legislation. (1986). Insolvency Act.
- The Verkhovna Rada of Ukraine. (2018). Kodeks Ukrainy z protsedur bankrutstva [Code of Ukraine on Bankruptcy Procedures]. (In Ukrainian).
- The World Bank. (n.d.). Doing Business Archive: Data.
- White, M. (1994). Corporate bankruptcy as a filtering device: Chapter 11 reorganizations and out-of-court debt restructurings. Journal of Law, Economics, & Organization, 10(2), 268-295.
- Yu, K., & He, D. (2018). The choice between bankruptcy liquidation and bankruptcy reorganization: a model and evidence. Journal of Management Analytics, 5(3), 170-197.
- Zadeh, L. (1965). Fuzzy Sets. Information and Control, 8(3), 338-353.