Mathematical Support of Decision Support System When Managing A Company
| Parent link: | Advances in Computer Science Research Vol. 51 : Information Technologies in Science, Management, Social Sphere and Medicine (ITSMSSM 2016).— 2016.— [P. 139-146] |
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| Yhteisötekijä: | |
| Muut tekijät: | , , , |
| Yhteenveto: | Title screen Under current conditions it is impossible to manage a company to a good quality without specialized instruments. Currently decision support systems (DSS) are widely used to manage the bankruptcy risks of a company. Developing a DSS requires proper mathematical models. It allows return on capital forecasting and financial solvency revealing and, mainly, regulating the risk of bankruptcy event. The aim of the given paper is to throw light on the problem of decision support system development when estimating financial stability of companies. In the paper we consider the mathematical support of DSS - models of financial stability estimation and dynamic model of managing the resultant index of financial stability. In the paper we review the methods of bankruptcy risk estimation described in academic literature and describe some models developed by the authors. In the paper the authors provide a brief review of DSS designed for managing the bankruptcy risk of companies, analyze the financial stability of 30 oil and gas companies organized as open joint stock companies. It was shown that there are no universal models for estimating company bankruptcy risk. The limits to applicability of the models depend upon the economic conditions under which the models were developed, notably, it was shown that foreign models are insufficient for Russian conditions. The authors provide their models of financial stability estimation of oil and gas and machine-building companies which allow taking into consideration quantitative and qualitative indices which can be both standardized and non-standardized. The models allow taking into account industry-specific peculiarities of companies and can be applied to estimate the bankruptcy risk. |
| Kieli: | englanti |
| Julkaistu: |
2016
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| Aiheet: | |
| Linkit: | http://dx.doi.org/10.2991/itsmssm-16.2016.94 |
| Aineistotyyppi: | Elektroninen Kirjan osa |
| KOHA link: | https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=654599 |
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| 200 | 1 | |a Mathematical Support of Decision Support System When Managing A Company |f A. A. Mitsel [et al.] | |
| 203 | |a Text |c electronic | ||
| 300 | |a Title screen | ||
| 320 | |a [References: p. 145-146 (34 tit.)] | ||
| 330 | |a Under current conditions it is impossible to manage a company to a good quality without specialized instruments. Currently decision support systems (DSS) are widely used to manage the bankruptcy risks of a company. Developing a DSS requires proper mathematical models. It allows return on capital forecasting and financial solvency revealing and, mainly, regulating the risk of bankruptcy event. The aim of the given paper is to throw light on the problem of decision support system development when estimating financial stability of companies. In the paper we consider the mathematical support of DSS - models of financial stability estimation and dynamic model of managing the resultant index of financial stability. In the paper we review the methods of bankruptcy risk estimation described in academic literature and describe some models developed by the authors. In the paper the authors provide a brief review of DSS designed for managing the bankruptcy risk of companies, analyze the financial stability of 30 oil and gas companies organized as open joint stock companies. It was shown that there are no universal models for estimating company bankruptcy risk. The limits to applicability of the models depend upon the economic conditions under which the models were developed, notably, it was shown that foreign models are insufficient for Russian conditions. The authors provide their models of financial stability estimation of oil and gas and machine-building companies which allow taking into consideration quantitative and qualitative indices which can be both standardized and non-standardized. The models allow taking into account industry-specific peculiarities of companies and can be applied to estimate the bankruptcy risk. | ||
| 461 | 1 | |0 (RuTPU)RU\TPU\network\18167 |t Advances in Computer Science Research | |
| 463 | 0 | |0 (RuTPU)RU\TPU\network\18169 |t Vol. 51 : Information Technologies in Science, Management, Social Sphere and Medicine (ITSMSSM 2016) |o III International Scientific Conference, May 23-26, 2016, Tomsk, Russia |o [proceedings] |f National Research Tomsk Polytechnic University (TPU) ; eds. O. G. Berestneva, A. Tikhomirov, A. Trufanov |v [P. 139-146] |d 2016 | |
| 610 | 1 | |a электронный ресурс | |
| 610 | 1 | |a труды учёных ТПУ | |
| 610 | 1 | |a системы поддержки принятия решений | |
| 610 | 1 | |a финансовая устойчивость | |
| 610 | 1 | |a банкротство | |
| 610 | 1 | |a факторный анализ | |
| 610 | 1 | |a дискриминирующие эксперименты | |
| 701 | 1 | |a Mitsel |b A. A. |c mathematician |c Professor of Tomsk Polytechnic University, Doctor of technical sciences |f 1947- |g Artur Aleksandrovich |3 (RuTPU)RU\TPU\pers\35618 |9 18787 | |
| 701 | 1 | |a Kozlov |b S. V. |c Specialist in the field of informatics and computer technology |c Associate Professor of Yurga Institute of Technology, Tomsk Polytechnic University Affiliate, Candidate of technical sciences |f 1986- |g Sergei Vladimirovich |3 (RuTPU)RU\TPU\pers\38436 |9 20763 | |
| 701 | 1 | |a Kataev |b M. Yu. |c specialist in the field of informatics and computer engineering |c Professor of Yurga technological Institute of Tomsk Polytechnic University, doctor of technical sciences |f 1961- |g Mikhail Yurievich |3 (RuTPU)RU\TPU\pers\34686 |9 18036 | |
| 701 | 1 | |a Maslov |b A. V. |c Specialist in the field of informatics and computer technology |c Associate Professor of Yurga Institute of Technology, Tomsk Polytechnic University Affiliate |f 1957- |g Anatoliy Viktorovich |3 (RuTPU)RU\TPU\pers\38488 |9 20802 | |
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