FORECASTING BUSINESS PROCESSES IN THE MANAGEMENT SYSTEM OF THE CORPORATION
Article Sidebar
Open full text
Issue Vol. 12 No. 4 (2022)
-
SCATTERING BY CIRCULAR VOIDS WITH RIGID BOUNDARY: DIRECT AND INVERSE PROBLEMS FOR OPEN AND CLOSE DOMAINS
Tomasz Rymarczyk, Jan Sikora4-10
-
FINITE ELEMENT MODEL FOR ANALYSIS OF CHARACTERISTICS OF SHROUDED ROTOR BLADE VIBRATIONS
Anatoliy Zinkovskii, Kyrylo Savchenko, Yevheniia Onyshchenko, Leonid Polishchuk, Abilkaiyr Nazerke, Bagashar Zhumazhanov11-16
-
EFFICIENTLY PROCESSING DATA IN TABLE WITH BILLIONS OF RECORDS
Piotr Bednarczuk, Adam Borsuk17-20
-
GENERALIZED MODEL OF INFORMATION PROTECTION PROCESS IN AUDIOVISUAL CONTENT DISTRIBUTION NETWORKS
Heorhii Rozorinov, Oleksandr Hres, Volodymyr Rusyn21-25
-
MONITORING OF LINK-LEVEL CONGESTION IN TELECOMMUNICATION SYSTEMS USING INFORMATION CRITERIA
Natalia Yakymchuk, Yosyp Selepyna, Mykola Yevsiuk, Stanislav Prystupa, Serhii Moroz26-30
-
POLARIZATION TOMOGRAPHY OF THE POLYCRYSTALINNE STRUCTURE OF HISTOLOGICAL SECTIONS OF HUMAN ORGANS IN DETERMINATION OF THE OLD DAMAGE
Olexandra Litvinenko, Victor Paliy, Olena Vуsotska, Inna Vishtak, Saule Kumargazhanova31-34
-
ANALYSIS OF UPPER RESPIRATORY TRACT SEGMENTATION FEATURES TO DETERMINE NASAL CONDUCTANCE
Oleg Avrunin, Yana Nosova, Nataliia Shushliapina, Ibrahim Younouss Abdelhamid, Oleksandr Avrunin, Svetlana Kyrylashchuk, Olha Moskovchuk, Orken Mamyrbayev35-40
-
THE USE OF Q-PREPARATION FOR AMPLITUDE FILTERING OF DISCRETED IMAGE
Leonid Timchenko, Natalia Kokriatskaia, Mykhailo Rozvodiuk, Volodymyr Tverdomed, Yuri Kutaev, Saule Smailova, Vladyslav Plisenko, Liudmyla Semenova, Dmytro Zhuk41-46
-
INFORMATION MODEL OF THE ASSESSMENT OF TOURISM SECTOR COMPETITIVENESS IN THE CONTEXT OF EUROPEAN INTEGRATION POLICY
Iryna Prychepa, Oksana Adler, Liliia Ruda, Olexander Lesko, Zlata Bondarenko, Lee Yanan, Dinara Mussayeva47-52
-
FORECASTING BUSINESS PROCESSES IN THE MANAGEMENT SYSTEM OF THE CORPORATION
Svitlana A. Yaremko, Elena M. Kuzmina, Nataliia B. Savina, Iryna Yu. Yepifanova, Halyna B. Gordiichuk, Dinara Mussayeva53-59
-
ELABORATION AND RESEARCH OF A MODEL OF OPTIMAL PRODUCTION AND DEVELOPMENT OF INDUSTRIAL SYSTEMS TAKING INTO ACCOUNT THE USE OF THE EXTERNAL RESOURCES
Dmytro Hryshyn, Taisa Borovska, Aliya Kalizhanova60-66
-
MODELING THE DEVELOPMENT PROCESS OF INCLUSIVE EDUCATION IN UKRAINE
Mariana M. Kovtoniuk, Olena P. Kosovets, Olena M. Soia, Olga Yu. Pinaieva, Vira G. Ovcharuk, Kuralay Mukhsina67-73
-
FREQUENCY-TO-CODE CONVERTER WITH DIRECT DATA TRANSMISSION
Piotr Warda74-77
-
DIGITAL APPROACH TO THERMIONIC EMISSION CURRENT TO VOLTAGE CONVERSION FOR HIGH-VOLTAGE SOURCES OF ELECTRONS
Bartosz Kania78-81
-
[Retracted]: SYSTEM SOFTWARE AT LABORATORY STAND „LIGHTS CONTROL ON THE BASIS OF PROGRAMMABLE LOGIC CONROLLER”
The article has been retracted due to a breach of ethical standards. The editorial board received a report that this work infringes on the copyrights of others. An investigation confirmed the validity of the report, resulting in the decision to retract the work. The evidence in the case is in the possession of the editorial board. The editorial board of the journal also declares that it has followed all procedures for checking the article for unethical practices before its publication in 2022.Laura Yesmakhanova, Raushan Dzhanuzakova, Bauyrzhan Myrkalykov82-86 -
FLAME ANALYSIS BY SELECTED METHODS IN THE FREQUENCY DOMAIN
Żaklin Grądz, Jacek Klimek, Czesław Kozak87-89
Archives
-
Vol. 14 No. 4
2024-12-21 25
-
Vol. 14 No. 3
2024-09-30 24
-
Vol. 14 No. 2
2024-06-30 24
-
Vol. 14 No. 1
2024-03-31 23
-
Vol. 13 No. 4
2023-12-20 24
-
Vol. 13 No. 3
2023-09-30 25
-
Vol. 13 No. 2
2023-06-30 14
-
Vol. 13 No. 1
2023-03-31 12
-
Vol. 12 No. 4
2022-12-30 16
-
Vol. 12 No. 3
2022-09-30 15
-
Vol. 12 No. 2
2022-06-30 16
-
Vol. 12 No. 1
2022-03-31 9
-
Vol. 11 No. 4
2021-12-20 15
-
Vol. 11 No. 3
2021-09-30 10
-
Vol. 11 No. 2
2021-06-30 11
-
Vol. 11 No. 1
2021-03-31 14
-
Vol. 10 No. 4
2020-12-20 16
-
Vol. 10 No. 3
2020-09-30 22
-
Vol. 10 No. 2
2020-06-30 16
-
Vol. 10 No. 1
2020-03-30 19
Main Article Content
DOI
Authors
Abstract
One of the key issues in corporate management is business process management. That is why the greatest interest for company analysts is the issue of effective forecasting of business processes. In today's digitalization of the economy, integration and automation of business processes have become the main priorities for achieving efficiency and effectiveness of companies, and especially for effective management decisions. This problem can be solved with the help of integrated systems, which are tools for effective management decisions, modeling and optimization of business processes. The article provides an analytical review of known forecasting methods and identifies the features of their application, analyzes the advantages and disadvantages that will take them into account in modeling the company and promote economic development, competitiveness and optimize business processes.
Keywords:
References
Azarova A.: Information Technologies and Neural Network Means for Building the Complex Goal Program “Improving the Management of Intellectual Capital”. Lecture Notes on Data Engineering and Communications Technologies 77, 2022, 534–547. DOI: https://doi.org/10.1007/978-3-030-82014-5_36
Azarova A., Zhytkevych O.: Mathematical methods of identification of ukrainian enterprises competitiveness level by fuzzy logic using. Economic Annals-XXI 9–10(2), 2013, 59–62.
Azarova A.O. et al.: Information technologies for assessing the quality of IT-specialties graduates' training of university by means of fuzzy logic and neural networks. International Journal of Electronics and Telecommunications, 66(3), 2020, 411–416.
Berk J. et al.: Fundamentals of Corporate Finance, Global Edition. Pearson Available, 2022.
Box G. et al.: Time Series Analysis: Forecasting and Control. Wiley, 2015.
Brealey R. et al.: ISE Fundamentals of Corporate Finance. Irwin McGraw-Hill Publishing Co. Ltd., 2022.
Brigham E., Houston J.: Fundamentals of Financial Management. Learning EMEA, 2021.
Bruskin S. N. et al.: Business performance management models based on the digital corporation’s paradigm. European Research Studies Journal. EU. 20(4A), 2017, 264–274. DOI: https://doi.org/10.35808/ersj/833
Clayman M. et al.: Corporate Finance: A Practical Approach. Wiley, 2012.
Ehrhardt M. et al.: Financial Management EMEA: Theory and Practice. Cengage Learning EMEA, 2019.
Evans M. K.: Practical Business Forecasting. Wiley, 2008.
Garg P.K.: Forecasting Management: Futurism on Management. Global India Publications, 2009.
Hanke J. E., Wichern D. W., Reitsch A. G.: Business Forecasting. Prentice Hall, 2001.
Ihnatyeva I. A., Harafonova O. I.: Korporatyvne upravlinnya: Pidruchnyk. Tsentr uchbovoyi literatury, Kyiv 2013.
Kuzmina E. et al.: Methods and techniques for evaluating effectiveness of information technology implementation into business processes. Proc. of SPIE. 10808, 2018, 108081N.
Lawrence K. D. et al.: Advances in Business and Management Forecasting. Emerald Publishing Ltd., 2018.
Makridakis S. et al.: Forecasting methods and applications. Wiley India Pvt. Ltd., 2008.
Melicher R. et al.: Introduction to Finance: Markets, Investments, and Financial Management. Wiley, 2013.
Mescon M. H. et al.: The Fundamentals of Management. Williams, 2019.
Mittelhammer R. C.: Mathematical Statistics for Economics and Business. Springer, 2013. DOI: https://doi.org/10.1007/978-1-4614-5022-1
Mostenska T. L. et al.: Korporatyvne upravlinnya. Karavela, Kyiv 2015.
Shyian A. A. et al.: Modeling communication between the public and the authorities while implementing innovative projects in the context of e-democracy and public administration. Science and Inn. 16(6), 2021, 18–27. DOI: https://doi.org/10.15407/scine16.06.018
Shmueli G. et al.: Data Mining for Business Analytics: Concepts, Techniques, and Applications in R. Wiley, 2017.
Vandeput N.: Data Science for Supply Chain Forecasting. Business & Economics, 2021. DOI: https://doi.org/10.1515/9783110671124
Van Horne J. et al.: Fundamentals of financial management. Pearson Ed. Ltd., 2009.
Voynarenko M. P. et al.: Managing the development of innovation business processes with automated information systems. Marketing and innovation management 4, 2017, 133–148. DOI: https://doi.org/10.21272/mmi.2017.4-12
Wade D. et al.: Corporate Performance Management. Routledge, 2001. DOI: https://doi.org/10.1016/B978-0-87719-386-9.50005-7
Westerfield R. et al.: Fundamentals of Corporate Finance. Irwin McGraw-Hill Publishing Co. Ltd., 2019.
Wilson H. et al.: Business Forecasting with Forecastx. McGraw-Hill Ed. 2009.
Yaremko S. A. et al.: Intelligent system in the context of business process modeling. International Journal of Electronics and Telecommunications 67(2), 2021, 163–168.
Yaremko S. et al.: Using artificial intelligence technologies for forecasting business processes. Computer-integrated technologies: education, science, production 23, 2021, 230–234. DOI: https://doi.org/10.36910/6775-2524-0560-2021-43-38
Yarmolenko V. et al.: Practice Analysis of Effectiveness Components for the System Functioning Process: Energy Aspect, Lecture Notes on Data Engineering and Communications Technologies 77, 2022, 282–296. DOI: https://doi.org/10.1007/978-3-030-82014-5_19
Zanda G.: Corporate Management in a Knowledge-Based Economy. Palgrave MacMillan, 2012. DOI: https://doi.org/10.1057/9780230355453
Article Details
Abstract views: 4963
License

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
