Ольга Олексіївна Кравченко, 80_03
Ольга Олексіївна Кравченко
д-р екон. наук, доц.
Державний університет інфраструктури і технологій
04071, Україна, Київ, вул. Кирилівська, 9
E-mail: Ця електронна адреса захищена від спам-ботів, Вам потрібно включити JavaScript для перегляду
Аналіз фінансових ризиків залізничного транспорту України
Рубрика: Проблеми економіки промислових підприємств і виробничих комплексів
Ekon. promisl. 2017, 80(4): 47-62
Мова: Англійська
Анотація | Повний текст (PDF)
DOI:
References
1. Analysis of World Experience in the Development of Industry and Approaches to the Digital Transformation of the Industry of the Member States of the Eurasian Economic Union: Informational and Analytical Report (2017). Moscow: Eurasian Economic Commission [in Russian].
2. Byelyakov, K.I. (2008). Informati-zation in Ukraine: Problems of organiza-tional, Legal and Scientific Support: mono-graph. Кyiv: KVIC [in Ukrainian].
3. Vasilenko, V. (2013). Technological Modes in the Context of the Aspiration of Economic Systems to the Ideal. Sotsial'no-ekonomichni problemy i derzhava, 1, Vol. 8, pp. 65-72 [in Russian].
4. Voronin, A.V. (2013). Modeling of Technical Systems. Tomsk: Tomsk Poly-technic University [in Russian].
5. Glazev, S.Yu. (2012). The Modern Theory of Long Waves in the Development of the Economy. Ekonomicheskaya nauka sovremennoy Rossii, 2 (57), pp. 8-27 [in Russian].
6. Gromova, T. Will the world survive the fourth industrial revolution? Delovaya stolitsa. Retrieved from http://fastsalttimes.com/sections/obzor/522.html [Accessed 07 Oct. 2017] [in Russian].
7. "Digital Dividends" World Devel-opment Report (2016). Washington: Interna-tional Bank for Reconstruction and Devel-opment / World Bank [in Russian].
8. Dyuzhev, D.V. (2008). The Specifics of Information Society Formation in Ukraine: History and Modernity. Nauka. Relihiya. Suspil'stvo, 2, pp. 130-135 [in Russian].
9. The Law of Ukraine "On the Basic Principles of the Development of the Infor-mation Society in Ukraine for 2007-2015" (2007). Uryadovyy kur"yer, 28 [in Ukrainian].
10. Information Technologies in Ukraine: The Colossus on Clay Feet. Retrieved from https://dou.ua/lenta/articles/it-in-ukraine/ [Accessed 07 Oct. 2017] [in Russian].
11. Information Technologies as the Stimulus for the Development of Ukrainian Society. Retrieved from http://data.ngorg. od.ua/ru/informacionnye-tehnologii-kak-stimul-razvitiya-ukrainskogo-obshchestva [Accessed 11 Sept. 2017] [in Russian].
12. Kaplan, A.V., Kaplan, V.E., Mas-chenko, M.V., & Ovechkina, E.V. (2007). The Solution of Optimization Tasks in the Economy. Moscow: Fenix [in Russian].
13. Kupriyanovskiy, V.P., Namiot, D.E., & Sinyagov, S.A. (2016). Cyber-Physical Systems as the Basis of the Digital Economy. International Journal of Open Information Technologies, 2, Vol. 4, pp. 18-25 [in Russian].
14. Kupriyanovskiy, V.P., Sinyagov, S.A., Namiot, D.E., Utkin, N.A., Nikolaev, D.E., & Dobryinin, A.P. (2017). Transformation of Industry in the Digital Economy – Design and Manufacturing. International Journal of Open Information Technologies, 1, Vol. 5, pp. 50-70 [in Russian].
15. Paklin, N.B., & Oreshkov, V.I. (2009). Business Intelligence: from Data to Knowledge. St. Petersburg: Peter [in Russian].
16. The Portrait of a Ukrainian IT professional. Retrieved from https://dou.ua/ lenta/articles/portret-ukrainskogo-it-specialista/ [Accessed 19 Sept. 2017] [in Russian].
17. "Industry 4.0": Creation of a Digital Enterprise. The Main Results of the Research in the Metallurgical Industry/ PwC. Retrieved from https://www.pwc.ru/ru/ mining-and-metals/publications/assets/industry-4-metals-key-findings_rus.pdf [Accessed 28 Sept. 2017] [in Russian]
18. Distributed data processing using Hadoop. IBM, 2017 [in Russian].
19. Romanchuk, Ya. Third industrial revolution: essence, influence, consequences. Retrieved from http://liberty-belarus.info/o-kapitalizme/kapitalizm-dlya-lyuboznatelnykh/ item/848-tretya-promyshlennaya-revolyutsiya-sut-vliyanie-posledstviya#l2 [Accessed 25 Aug. 2017] [in Russian].
20. State, Problems and Prospects of the Development of the Information Society in the CIS. (2012).Commonwealth of Inde-pendent States. Executive committee. Moscow [in Russian].
21. Trofimova, E. (2016). Cyber Vulnerability of the Smart Manufacturing. Сontrol Еngineering Rossiya, 1 (61), pp. 34-36 [in Russian].
22. Chekletsov, V. (2015). The Fourth Revolution: Internet of Things. Ekspert, January, pp. 42-44. Retrieved from http://www.ncca.ru/file?Files&141 [Accessed 08 Sept. 2017]. [in Russian].
23. Sheer, A.-V. What’s Behind the Term "Industry 4.0". Retrieved from http://www.i-love-bpm.ru/s%D1%81heer/chto-skryvaetsya-za-terminom-industriya-40 [Accessed 08 Sept. 2017]. [in Russian].
24. Atzori, L., Lera, A., & Morabito, G. (2010). The internet of things: a survey. Computer Networks. Режим доступа: https://www.researchgate.net/profile/Luigi_Atzori2/publication/222571757_The_Internet_of_Things_A_Survey/links/546b36df0cf2f5eb180914e5/The-Internet-of-Things-A-Survey.pdf [Acces¬sed 28 Sept. 2017].
25. Auschitzky, E., Hammer, M., & Rajagopaul, A. How big data can impro-ve manufacturing. McKinsey. Режим доступа: http://www.mckinsey.com/business-functions/operations/our-insights/how-big-data-can-improve-manufacturing [Accessed 28 Sept. 2017].
26. Brynjolfsson, E., & McElheran, K. Data in Action: Data-Driven Decision Making in U.S. Manufacturing. Режим доступа: http://www.economics.cornell.edu/sites/default/files/files/events/Brynjolfsson_McElheran_AEA_2016.pdf [Acces¬sed 25 Aug. 2017].
27. Dymola for physical modelling and simulation using Modelica. Claytex. Режим доступа: http://www.claytex.com/ products/dymola/ [Acces¬sed 28 Sept. 2017].
28. Fishwick, P. (2007). Handbook of Dynamic System Modeling (Chapman & Hall/CRC Computer and Information Sci-ence Series). New York: Chapman and Hall/CRC.
29. Geisberger, E., & Broy, M. (2012). Agenda CPS: Integrierte For schungs agenda Cyber-Physical Systems (acatech STUDIE) (German Edition). New York: Springer-Verlag, 297 p.
30.Gröger, C., Niedermann, F., & Mitschang, B. (2012, July) Data Mining-driven Manufacturing Process Optimization. Proceedings of the World Congress on En-gineering (Vol. III, pp. 1475-1481). London: WCE.
31.Hermann, M., Pentek, T., & Otto, B. (2016). Design Principles for Industrie 4.0 Scenarios. 49th Hawaii International Conference on System Sciences (HICSS), pp. 3928-3937.
32. Hu, H., Wen, Y., Chua, T.-S., & Li, X. (2014). Toward Scalable Systems for Big Data Analytics: a Technology Tutorial. IEEE Access, 2. pp. 652-687.
33. Industrie 4.0 – What is it? Germany Trade & Invest. Режим доступа: https://industrie4.0.gtai.de/INDUSTRIE40/ Navigation/EN/Topics/Industrie-40/what-is-it.html [Acces¬sed 08 Sept. 2017].
34. Information Resources Manage-ment Association. The Internet of Things: Breakthroughs in Research and Practice (2017). Information Resources Management Association. Hershey: IGI Global.
35.Innovationen für die Produktion von morgen. Режим доступа: https://www.bmbf.de/pub/Industrie_4.0.pdf [Accessed 08 Sept. 2017].
36. Jeschke, S., Brecher, C., Song, H., & Rawat, D. (2017). Industrial Internet of Things. Cybermanufacturing Systems. Her-ausgeber: Springer International Publishing Switzerland.
37. Kim, K., Jung, J.-K., & Choi, J.-Y. (2016). Impact of the Smart City Industry on the Korean National Economy: Input-Output Analysis. Sustainability, 8 (7). pp. 649-678.
38. Lasi, H., Kemper, H.-G., Fettke, P., Feld, T., & Hoffmann, M. (2014). Industry 4.0. Business & Information Systems Engi-neering, 4 (6), pp. 239-242.
39. Lee, J., Lapira, E., Bagheri, B., & Kao, H. (2013). Recent advances and trends in predictive manufacturing systems in big data environment. Manufacturing Letters, 1. pp. 38-41.
40. Manyika, J., Chui, M., Brown, B., Bughin, J., Dobbs, R., Roxburgh, C., & Hung Byers, A. (2011). Big data: The next frontier for innovation, competition, and productivity. New York: McKinsey Global Institute.
41. Nedelcu, B. (2013). About Big Data and its Challenges and Benefits in Manufacturing. Database Systems Journal, 4, Issue 3, pp. 10-19.
42. Networked Readiness Index (2015). Режим доступа: http://reports.weforum.org/ global-information-technology-report-2015/ economies/#indexId=NRI&economy=UKR [Accessed 25 Aug. 2017].
43. Nonaka, Y. Suginishi, Y., Lengyel, A., & Katsumura, Y. (2015, August) The S-Model: A digital manufacturing system combined with autonomous statistical analysis and autonomous discrete-event simulation for smart manufacturing. IEEE International Conference on Automation Science and Engineering (CASE) (pp. 1006-1011). Gothenburg: IEEE.
44. Reimann, M., & Ruckriegel, C. (2017). Road2CPS Priorities and Recom-mendations for Research and Innovation in Cyber-Physical Systems. Stuttgart: Steinbeis-Editions.
45. Saraee, M. How can companies start implementing the Smart Industry concept? Режим доступа: https://www.smart-industry.nl/site/assets/files/2158/how_can_ companies_start_implementing_the_smart_ industry_concept.pdf [Acces¬sed 08 Sept. 2017].
46. Smart Enterprise demo for manu-facturing. Pharaos Navigator. Режим до-ступа: https://enterprise.win2biz.com/static/ content/en/525/Explaining-Enterprise-Model. html [Accessed 08 Sept. 2017].
47. The 2016 IMD World Com-petitiveness Scoreboard. Режим доступа: http://www.imd.org/globalassets/wcc/docs/scoreboard-2016.pdf [Acces¬sed 08 Sept. 2017].
48. Yin, S., & Kaynak, O. (2015). Big Data for Modern Industry: Challenges and Trends. Proceedings of the IEEE, 2 Vol. 103, pp. 143-146.
49. Zaitsev, D.A. (2012). Universal Petri Net. Cybernetics and Systems Analysis, Vol. 48, Issue 4, pp. 498-511.
50. Zhou, Z., Xie, S., & Chen, D. (2012). Fundamentals of Digital Manufac-turing Science. London: Springer-Verlag London Limited.
д-р екон. наук, доц.
Державний університет інфраструктури і технологій
04071, Україна, Київ, вул. Кирилівська, 9
E-mail: Ця електронна адреса захищена від спам-ботів, Вам потрібно включити JavaScript для перегляду
Аналіз фінансових ризиків залізничного транспорту України
Рубрика: Проблеми економіки промислових підприємств і виробничих комплексів
Ekon. promisl. 2017, 80(4): 47-62
Мова: Англійська
Анотація | Повний текст (PDF)
DOI:
Анотація: Доведено, що погіршення фінансового стану підприємств залізничного транс¬порту призвело до дефіциту фінансових ресурсів. Визначено, що наслідком неефективного управління фінансами стало збільшення ризиків «Укрзалізниці». Проведено аналіз динаміки основних фінансових ризиків залізничного транспорту та їх впливу на формування фінансових ресурсів галузевих підприємств.
Ключові слова: фінансовий стан, фінансові ресурси, фінансовий ризик, аналіз, залізничний транспорт.
JEL code: G 320, G 390, L 920.
Ключові слова: фінансовий стан, фінансові ресурси, фінансовий ризик, аналіз, залізничний транспорт.
JEL code: G 320, G 390, L 920.
References
1. Analysis of World Experience in the Development of Industry and Approaches to the Digital Transformation of the Industry of the Member States of the Eurasian Economic Union: Informational and Analytical Report (2017). Moscow: Eurasian Economic Commission [in Russian].
2. Byelyakov, K.I. (2008). Informati-zation in Ukraine: Problems of organiza-tional, Legal and Scientific Support: mono-graph. Кyiv: KVIC [in Ukrainian].
3. Vasilenko, V. (2013). Technological Modes in the Context of the Aspiration of Economic Systems to the Ideal. Sotsial'no-ekonomichni problemy i derzhava, 1, Vol. 8, pp. 65-72 [in Russian].
4. Voronin, A.V. (2013). Modeling of Technical Systems. Tomsk: Tomsk Poly-technic University [in Russian].
5. Glazev, S.Yu. (2012). The Modern Theory of Long Waves in the Development of the Economy. Ekonomicheskaya nauka sovremennoy Rossii, 2 (57), pp. 8-27 [in Russian].
6. Gromova, T. Will the world survive the fourth industrial revolution? Delovaya stolitsa. Retrieved from http://fastsalttimes.com/sections/obzor/522.html [Accessed 07 Oct. 2017] [in Russian].
7. "Digital Dividends" World Devel-opment Report (2016). Washington: Interna-tional Bank for Reconstruction and Devel-opment / World Bank [in Russian].
8. Dyuzhev, D.V. (2008). The Specifics of Information Society Formation in Ukraine: History and Modernity. Nauka. Relihiya. Suspil'stvo, 2, pp. 130-135 [in Russian].
9. The Law of Ukraine "On the Basic Principles of the Development of the Infor-mation Society in Ukraine for 2007-2015" (2007). Uryadovyy kur"yer, 28 [in Ukrainian].
10. Information Technologies in Ukraine: The Colossus on Clay Feet. Retrieved from https://dou.ua/lenta/articles/it-in-ukraine/ [Accessed 07 Oct. 2017] [in Russian].
11. Information Technologies as the Stimulus for the Development of Ukrainian Society. Retrieved from http://data.ngorg. od.ua/ru/informacionnye-tehnologii-kak-stimul-razvitiya-ukrainskogo-obshchestva [Accessed 11 Sept. 2017] [in Russian].
12. Kaplan, A.V., Kaplan, V.E., Mas-chenko, M.V., & Ovechkina, E.V. (2007). The Solution of Optimization Tasks in the Economy. Moscow: Fenix [in Russian].
13. Kupriyanovskiy, V.P., Namiot, D.E., & Sinyagov, S.A. (2016). Cyber-Physical Systems as the Basis of the Digital Economy. International Journal of Open Information Technologies, 2, Vol. 4, pp. 18-25 [in Russian].
14. Kupriyanovskiy, V.P., Sinyagov, S.A., Namiot, D.E., Utkin, N.A., Nikolaev, D.E., & Dobryinin, A.P. (2017). Transformation of Industry in the Digital Economy – Design and Manufacturing. International Journal of Open Information Technologies, 1, Vol. 5, pp. 50-70 [in Russian].
15. Paklin, N.B., & Oreshkov, V.I. (2009). Business Intelligence: from Data to Knowledge. St. Petersburg: Peter [in Russian].
16. The Portrait of a Ukrainian IT professional. Retrieved from https://dou.ua/ lenta/articles/portret-ukrainskogo-it-specialista/ [Accessed 19 Sept. 2017] [in Russian].
17. "Industry 4.0": Creation of a Digital Enterprise. The Main Results of the Research in the Metallurgical Industry/ PwC. Retrieved from https://www.pwc.ru/ru/ mining-and-metals/publications/assets/industry-4-metals-key-findings_rus.pdf [Accessed 28 Sept. 2017] [in Russian]
18. Distributed data processing using Hadoop. IBM, 2017 [in Russian].
19. Romanchuk, Ya. Third industrial revolution: essence, influence, consequences. Retrieved from http://liberty-belarus.info/o-kapitalizme/kapitalizm-dlya-lyuboznatelnykh/ item/848-tretya-promyshlennaya-revolyutsiya-sut-vliyanie-posledstviya#l2 [Accessed 25 Aug. 2017] [in Russian].
20. State, Problems and Prospects of the Development of the Information Society in the CIS. (2012).Commonwealth of Inde-pendent States. Executive committee. Moscow [in Russian].
21. Trofimova, E. (2016). Cyber Vulnerability of the Smart Manufacturing. Сontrol Еngineering Rossiya, 1 (61), pp. 34-36 [in Russian].
22. Chekletsov, V. (2015). The Fourth Revolution: Internet of Things. Ekspert, January, pp. 42-44. Retrieved from http://www.ncca.ru/file?Files&141 [Accessed 08 Sept. 2017]. [in Russian].
23. Sheer, A.-V. What’s Behind the Term "Industry 4.0". Retrieved from http://www.i-love-bpm.ru/s%D1%81heer/chto-skryvaetsya-za-terminom-industriya-40 [Accessed 08 Sept. 2017]. [in Russian].
24. Atzori, L., Lera, A., & Morabito, G. (2010). The internet of things: a survey. Computer Networks. Режим доступа: https://www.researchgate.net/profile/Luigi_Atzori2/publication/222571757_The_Internet_of_Things_A_Survey/links/546b36df0cf2f5eb180914e5/The-Internet-of-Things-A-Survey.pdf [Acces¬sed 28 Sept. 2017].
25. Auschitzky, E., Hammer, M., & Rajagopaul, A. How big data can impro-ve manufacturing. McKinsey. Режим доступа: http://www.mckinsey.com/business-functions/operations/our-insights/how-big-data-can-improve-manufacturing [Accessed 28 Sept. 2017].
26. Brynjolfsson, E., & McElheran, K. Data in Action: Data-Driven Decision Making in U.S. Manufacturing. Режим доступа: http://www.economics.cornell.edu/sites/default/files/files/events/Brynjolfsson_McElheran_AEA_2016.pdf [Acces¬sed 25 Aug. 2017].
27. Dymola for physical modelling and simulation using Modelica. Claytex. Режим доступа: http://www.claytex.com/ products/dymola/ [Acces¬sed 28 Sept. 2017].
28. Fishwick, P. (2007). Handbook of Dynamic System Modeling (Chapman & Hall/CRC Computer and Information Sci-ence Series). New York: Chapman and Hall/CRC.
29. Geisberger, E., & Broy, M. (2012). Agenda CPS: Integrierte For schungs agenda Cyber-Physical Systems (acatech STUDIE) (German Edition). New York: Springer-Verlag, 297 p.
30.Gröger, C., Niedermann, F., & Mitschang, B. (2012, July) Data Mining-driven Manufacturing Process Optimization. Proceedings of the World Congress on En-gineering (Vol. III, pp. 1475-1481). London: WCE.
31.Hermann, M., Pentek, T., & Otto, B. (2016). Design Principles for Industrie 4.0 Scenarios. 49th Hawaii International Conference on System Sciences (HICSS), pp. 3928-3937.
32. Hu, H., Wen, Y., Chua, T.-S., & Li, X. (2014). Toward Scalable Systems for Big Data Analytics: a Technology Tutorial. IEEE Access, 2. pp. 652-687.
33. Industrie 4.0 – What is it? Germany Trade & Invest. Режим доступа: https://industrie4.0.gtai.de/INDUSTRIE40/ Navigation/EN/Topics/Industrie-40/what-is-it.html [Acces¬sed 08 Sept. 2017].
34. Information Resources Manage-ment Association. The Internet of Things: Breakthroughs in Research and Practice (2017). Information Resources Management Association. Hershey: IGI Global.
35.Innovationen für die Produktion von morgen. Режим доступа: https://www.bmbf.de/pub/Industrie_4.0.pdf [Accessed 08 Sept. 2017].
36. Jeschke, S., Brecher, C., Song, H., & Rawat, D. (2017). Industrial Internet of Things. Cybermanufacturing Systems. Her-ausgeber: Springer International Publishing Switzerland.
37. Kim, K., Jung, J.-K., & Choi, J.-Y. (2016). Impact of the Smart City Industry on the Korean National Economy: Input-Output Analysis. Sustainability, 8 (7). pp. 649-678.
38. Lasi, H., Kemper, H.-G., Fettke, P., Feld, T., & Hoffmann, M. (2014). Industry 4.0. Business & Information Systems Engi-neering, 4 (6), pp. 239-242.
39. Lee, J., Lapira, E., Bagheri, B., & Kao, H. (2013). Recent advances and trends in predictive manufacturing systems in big data environment. Manufacturing Letters, 1. pp. 38-41.
40. Manyika, J., Chui, M., Brown, B., Bughin, J., Dobbs, R., Roxburgh, C., & Hung Byers, A. (2011). Big data: The next frontier for innovation, competition, and productivity. New York: McKinsey Global Institute.
41. Nedelcu, B. (2013). About Big Data and its Challenges and Benefits in Manufacturing. Database Systems Journal, 4, Issue 3, pp. 10-19.
42. Networked Readiness Index (2015). Режим доступа: http://reports.weforum.org/ global-information-technology-report-2015/ economies/#indexId=NRI&economy=UKR [Accessed 25 Aug. 2017].
43. Nonaka, Y. Suginishi, Y., Lengyel, A., & Katsumura, Y. (2015, August) The S-Model: A digital manufacturing system combined with autonomous statistical analysis and autonomous discrete-event simulation for smart manufacturing. IEEE International Conference on Automation Science and Engineering (CASE) (pp. 1006-1011). Gothenburg: IEEE.
44. Reimann, M., & Ruckriegel, C. (2017). Road2CPS Priorities and Recom-mendations for Research and Innovation in Cyber-Physical Systems. Stuttgart: Steinbeis-Editions.
45. Saraee, M. How can companies start implementing the Smart Industry concept? Режим доступа: https://www.smart-industry.nl/site/assets/files/2158/how_can_ companies_start_implementing_the_smart_ industry_concept.pdf [Acces¬sed 08 Sept. 2017].
46. Smart Enterprise demo for manu-facturing. Pharaos Navigator. Режим до-ступа: https://enterprise.win2biz.com/static/ content/en/525/Explaining-Enterprise-Model. html [Accessed 08 Sept. 2017].
47. The 2016 IMD World Com-petitiveness Scoreboard. Режим доступа: http://www.imd.org/globalassets/wcc/docs/scoreboard-2016.pdf [Acces¬sed 08 Sept. 2017].
48. Yin, S., & Kaynak, O. (2015). Big Data for Modern Industry: Challenges and Trends. Proceedings of the IEEE, 2 Vol. 103, pp. 143-146.
49. Zaitsev, D.A. (2012). Universal Petri Net. Cybernetics and Systems Analysis, Vol. 48, Issue 4, pp. 498-511.
50. Zhou, Z., Xie, S., & Chen, D. (2012). Fundamentals of Digital Manufac-turing Science. London: Springer-Verlag London Limited.
Останнє оновлення (Середа, 06 грудня 2017, 00:38)