New Realities of the Enterprise Management System Information Support: Economic and Mathematical Models and Cloud Technologies

Document Type : Int. Conf. on Communication Management and Information Technology- ICCMIT'20

Authors

1 Professor, Department of Construction Economics and Housing, St. Petersburg State University of Architecture and Civil Engineering, St. Petersburg, Russia.

2 Professor, Department of Accounting, Audit and Taxation, Khmelnytsky National University, hmelnytsky, Ukraine.

3 Lecturer, Department of Accounting, Audit and Taxation, Khmelnytsky National University, Khmelnytsky, Ukraine.

4 Associate Professor, Department of Accounting, Audit and Taxation, Khmelnytsky National University, Khmelnytsky, Ukraine.

Abstract

The paper focuses on the urgency of the implementation of cloud technologies, which are a necessary condition for the development of enterprise management systems, give rise to a complex of insufficiently studied phenomena and processes and determine the need to find new tools in making and implementing reasonable management decisions. In the process of research, the sequence of construction and the overall structure of the enterprise management system, based on the use of cloud technologies, are determined, which allowed to build a mathematical model for calculating the probability of making an error-free decision, evaluating the efficiency of decision-making, a model of making a management decision for a certain time with the parallel method of operation of elements of the enterprise management system.

Keywords

References

Ada, L., Niculita, A., Florina, P., & Florentin, C. The Intangible Assets–A New Dimension in The Company's Success. Available at: https://doi.org/10.1016/S2212-5671(12)00156-6
Andrikopoulos, V., Binz, T., F. Leymann, & Strauch S. (2013) How to adapt applications for the cloud environment. Computing, 95 (6), 1–43.
Babenko, V., Nakisko, O., Latynin, M., Rudenko, S., Lomovskykh, L., and Girzheva, O. (2019). Procedure of Identifying of the Parameters of the Model of Management of Technological Innovations in Economic Systems, 2019 IEEE International Scientific-Practical Conference Problems of Infocommunications, Science and Technology (PIC S&T), Kyiv, Ukraine, 324-328. doi: 10.1109/PICST47496.2019.9061259
Chervyakova, V.V., & Chervyakova, T.I., (2015) Economic aspects of the use of cloud services by domestic business entities. Bulletin of the National Transport University., 265-275.
Chub I.A., Novozhilova M.V., & Andronov V.A. (2017) Simulation of applied optimization problems of placement of objects with changing metric characteristics: monograph. Kharkiv: National Research Center of Ukraine,.
Epiphanes, A.O. (2008) i: monograph. ed. Doctor of Economics. of sciences, prof. A.O. Epiphanes. Sums: DVBS “UABS NBU”, Part 2.
Glushchevsky, V.,V. (2016) Adaptive mechanisms in enterprise management systems: methodology and models: monograph. V.V. Glushchevsky. Zaporizhia: KPU,.
Hrabovskyi, Y., Babenko, V., Al’boschiy, O., Gerasimenko, V. (2020). Development of a Technology for Automation of Work with Sources of Information on the Internet. WSEAS Transactions on Business and Economics, Vol. 17, Art. #25, pp. 231-240. doi: 10.37394/23207.2020.17.25
Hryhorkiv, V., Buiak, L., Verstia, A., Hryhorkiv, M.,& Savko, О. (2017) Enterprise application software implementation at the enterprise of wood processing industry: case study. International Journal of Computing. Vol. 16 (4).
Khajeh-Hosseini A. (2011) Decision support tools for cloud migration in the enterprise. A. Khajeh-Hosseini, I. Sommerville, J. Bogaerts, P. Teregowda. I Proceedings of the 2011 IEEE International Conference on Cloud Computing (CLOUD), IEEE, Washington, DC, USA., 541–548.
Kolyada, Yu.,V. (2011) An adaptive paradigm for modeling economic dynamics. Monograph. KNEU.
Low, C., Y. (2011) Understanding the determinants of cloud computing adoption. C. Y. Low, Y. Chen, M. C. Wu. Industrial Management& Data Systems, vol. 111, no. 7, , 1006–1023.
Matviychuk, A.,V. (2011) Artificial Intelligence in Economics: Neural Networks, Fuzzy Logic. Monograph: KNEU.
Mehta, A., D., & Madhani, P., M., (2008) Intangible Assets - An Introduction. The Accounting World, Vol. 8, No. 9, pp 11-19, Available at SSRN: https://ssrn.com/abstract=1504544
Naveed, Q. N., Qureshi, M. R. N. M., Shaikh, A., Alsayed, A. O., Sanober, S., & Mohiuddin, K. (2019). Evaluating and ranking cloud-based e-learning critical success factors (CSFs) using combinatorial approach. IEEE Access, 7, 157145-157157.
Piskunova, O.,V. (2010) Modeling of management decisions for small business development. Monograph: KNEU.
Sokolovskaya, Z.,M., Andrienko, V.,M., & Ivchenko, I.,Y. (2016) Mathematical and computer simulation of economic processes: monograph.; for the total. ed. ZM Sokolovskaya. Odessa: Astroprint.
Vitlinsky, V.,V. (2012) Risks, security, crises and sustainable development in the economy (methodologies, models, management and decision-making methods): monograph. V.V. Vitlinsky and others; ed. prof. S.K. Ramazanova. Lugansk, 70–91.
Vovk, V., M. (2011) Modeling of organizational processes in entrepreneurship: a monograph. V. M. Vovk, S.S. Priya, I.M. Shish. Lviv: Ivan Franko National University of Leningrad.
Voynarenko М., Dzhuliy V., & Yemchuk L. (2016) Development of information systems and modeling of their implementation in the business. Problems and Perspectives in Management. International Research Journal.. № 3, Vol. 14, 102-107.
Voynarenko, M., Dzhuliy, V., Dzhuliy, L., & Yemchuk, L. (2019) Modeling of intangible assets development and improvement processes in the enterprise management. Periodicals of Engineering and Natural Sciences. Vol. 7, No. 2, 618-628.
Voynarenko, M.,P. (2018) Economic Process Management Information Mechanisms: GDR Khmelnn. Report. nat. un-t; management executed by: L.V. Yemchuk (et. al.) Topic Code 8-2016; State registration number 0116U006900. Khmelnitsky.
Zhluktenko V.I., Begun A.V. (2005) Stochastic models in economics: Monograph: KNEU.
Journal of Information Technology Management
Volume 12, Issue 3
2020
Pages 44-60

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