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Autor
Galanc Tadeusz (College of Management "Edukacja", Wrocław, Poland), Kołwzan Wiktor (General Tadeusz Kościuszko Military University of Land Forces, Wrocław, Poland), Pieronek Jerzy (Wrocław University of Science and Technology, Wrocław, Poland), Skowronek-Grądziel Agnieszka (General Tadeusz Kościuszko Military University of Land Forces, Wrocław, Poland)
Tytuł
Risk Estimation and Decision-Making in Management (in Selected Areas of Science)
Źródło
Operations Research and Decisions, 2020, vol. 30, no. 1, s. 47-66, rys., tab., bibliogr. 21 poz.
Słowa kluczowe
Ryzyko, Szacowanie ryzyka, Podejmowanie decyzji, Zarządzanie
Risk, Risk estimating, Decision making, Management
Uwagi
summ.
Abstrakt
Risk is a category that is inseparably connected with uncertainty and probability, which means that the nature of risk as a category of science is complex, and the concept of risk is very difficult to define by one conceptual system of modern science. Due to the above, the main research hypothesis of the work is oriented to the assumption that the complexity of the risk category is determined by the diversity (variety) of reality, as a result of which in science there is currently no uniform methodology for risk assessment and estimation. As a result, the main goal of the article is to describe the research area based on selected representative methods of risk estimation and logical decision-making schemes, as well as to systematise the knowledge about the methodology used in them. In the article, the authors illustrate risk estimation with examples developed by themselves and quoted from various fields of science, differing from one another in formal terms in quantitative and qualitative (numerical and content-verbally) dimensions. Strategic risk, risk of fraction estimation, Bayesian risk, Bayesian methods for estimation of population distribution parameters, risk of econometric model assessment, interest rate risk, banking risk, and adverse event as a measure of risk are here addressed. The article also focuses on the problem of risk estimation in terms of the theory of fractals. The work is to have not only cognitive but also practical meaning. The created source of knowledge should prove helpful for decision-makers in the area of management since effective process management requires the expertise of risk estimation in various dimensions and using various mathematical tools. (original abstract)
Dostępne w
Biblioteka Główna Uniwersytetu Ekonomicznego w Krakowie
Biblioteka SGH im. Profesora Andrzeja Grodka
Biblioteka Główna Uniwersytetu Ekonomicznego w Katowicach
Pełny tekst
Pokaż
Bibliografia
Pokaż
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  7. GŁADYSZ B., KOŁWZAN W., MERCIK J., Factors of effective management of commercial bank assets and liabilities, [In:] Management, Financial Risk. Theory and Practice, Zeszyty Naukowe nr 5, Wyższa Szkoła Zarządzania i Finansów we Wrocławiu, Wrocław 2000, 79-95 (in Polish).
  8. GŁADYSZ B., KUCHTA D., A method of variable selection for fuzzy regression - the possibility approach, Oper. Res. Dec., 2011, 21 (2), 5-15.
  9. IVANOV V., The asymmetry of the brain and sign systems, Sov. radio, Moscov 1978 (in Russian).
  10. JAWORSKI W.L., Banking. Basic Assumptions, Poltext, Warsaw 1993 (in Polish).
  11. JUCHNOWICZ M., SIENKIEWICZ Ł., How to evaluate a job? Value of positions and competences, Difin, Warsaw 2006 (in Polish).
  12. KOFLER E., Introduction to Game Theory, PZWS, Warsaw 1963 (in Polish).
  13. MARKOWITZ H.M., Portfolio selection, J. Fin. 1952, 7, 77-91.
  14. MILEWSKI T., Linguistics, PWN, Warsaw 1963 (in Polish).
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  16. PETERS E.E., Chaos Theory and Capital Markets, WIG-Press, Warsaw 1997 (in Polish).
  17. PIAGET J., Psychology and Epistemology, PWN, Warsaw 1977 (in Polish).
  18. PLUMMER T., Forecasting Financial Markets, WIG-Press, Warsaw 1995 (in Polish).
  19. WOŁGIN L.N., Optimization, WNT, Warsaw 1970.
  20. VOSE D., Risk Analysis. A Quantitative Guide, Wiley, 2008.
  21. ZADEH L.A., Fuzzy sets, Inf. Control, 1965, 8 (3), 338-353.
Cytowane przez
Pokaż
ISSN
2081-8858
Język
eng
URI / DOI
http://dx.doi.org/10.37190/ord200103
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