THE MECHANISM OF THE ENTERPRISE’S ECONOMIC BEHAVIOR: ELEMENTS AND MODELS
Abstract
The dynamic development of the external environment of the enterprise forms the prerequisites for the formation of a strategy for managing the economic behavior of the enterprise, which is a complex process that characterizes the external and internal environment of enterprises and is based on the development of enterprises. The purpose of the work is to build a mechanism of economic behavior of an enterprise to improve the efficiency of enterprise management in the long-term and short-term periods. The constructed mechanism of economic behavior of the enterprise is based on a system of principles and includes two main blocks: principles of spatial nature and principles of temporal nature. The developed mechanism has a modern mathematical basis in the form of VAR models and cross-spectral analysis, which allows studying economic behavior in both long-term and short-term business horizons. Each of the management horizons contains its own local mechanism of economic behavior. Within the framework of this work, the local mechanism of managing the economic behavior of the enterprise in the long-term planning horizon was investigated using the Granger causality test, impulse analysis and dispersion decomposition.
References
Mullainathan S., Thaler R. H. How Behavioral Economics Differs from Traditional Economics.
https://www.econlib.org/library/Enc/BehavioralEconomics.html
Simon H. Administrative Behavior. 3d ed. New York: Macmillan. 4th ed., New York: Free Press. 1997
Shleifer, Andrei. Inefficient Markets: An Introduction to Behavioral Finance. Clarendon Lectures. Oxford: Oxford University Press, 2000
Thaler, Richard H., and Shlomo Benartzi. “Save More Tomorrow: Using Behavioral Economics to Increase Employee Saving.” Journal of Political Economy 112 (February 2004): S164–S187
Rayevnyeva O., Touzani T. Models Of Forecasting Of Enterprise’s Behavior In Non-Stationary External Environment. February 2021. Studies of Applied Economics 38(4). DOI: 10.25115/eea.v38i4.3998
Kalycheva N. E. Problems and prospects of the development of the economy of Ukraine in the modern world economic system. Science and economics: scientific and theoretical journal of the Khmelnytskyi University of Economics. Khmelnytskyi: PVZ Khmelnytskyi Economic University, 2015. Issue. No. 4 (40). P. 117–120.
Kondratieva, T.V. (2010). Adaptyvnist ekonomichnoi povedinky firmy: instytutsiynyy pidkhid. Candidate’s thesis. Donetsk, Donetskyy natsionalnyi universytet
Karachyna, N.P. (2012). Ekonomishna povedinka mashynobudivnykh pidpryiemstv. Doctor’s thesis. Lviv: Natsionalnyi universytet «Lvivska Politekhnika».
Rayevnyeva O, Stryzhychenko K, Matúšová S. Impact of Migration Processes on GDP. Engineering Proceedings. 2023; 39(1):86. https://doi.org/10.3390/engproc2023039086
Moroz O.V., Karachyna N.P., Ostryi I.F. Modernity and prospects of the study of the economic behavior of enterprises. Economy and the state. 2017. No. 4. pp. 16–20. (in Ukrainian)
Advances in Behavioral Economics / ed. C.F. Camerer et al. Princeton University Press, 2003.
Engle and Granger (1987). Cointegration and Error Correction: Representation, Estimation and Testing, Econometrica, 55 251-276. https://warwick.ac.uk/fac/soc/economics/staff/gboero/personal/hand2_cointeg.pdf
Cointegration. https://corporatefinanceinstitute.com/resources/data-science/cointegration/
Chan F., “Advantages of Non-Normality in Testing Cointegration Rank”, SSRN Electronic Journal, pp. 31, February 2013. http://dx.doi.org/10.2139/ssrn.2223753
Bloomfield, Peter (1976). Fourier Analysis of Time Series: An Introduction. Wiley. ISBN 978-0-471-08256-9.
Shumway, Robert H. (1988). Applied Statistical Time Series Analysis. Prentice-Hall. ISBN 978-0-13-041500-4
Shumway R. H., Stoffer D. S. (2017), Time Series Analysis and its Applications: With R Examples (ed. 4), Springer, ISBN 978-3-319-52451-1
Rayevnyeva O., Stryzhychenko K., Brovko О. Computer-Mathematical Support for Analysis of Stability of the Interrelation Between Macroeconomic Financial Indicators and Migration. 2023 7th International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT) DOI: https://doi.org/10.1109/ISMSIT58785.2023.10304995
This work is licensed under a Creative Commons Attribution 4.0 International License.
