REGISTRATION CERTIFICATE
KV #19905-9705 PR dated 02.04.2013.
FOUNDERS
RESEARCH CENTRE FOR INDUSTRIAL DEVELOPMENT PROBLEMS of NAS (KHARKIV, UKRAINE)
According to the decision No. 802 of the National Council of Television and Radio Broadcasting of Ukraine dated 14.03.2024, is registered as a subject in the field of print media. ID R30-03156
PUBLISHER
Liburkina L. M.
SITE SECTIONS
Main page
Editorial staff
Editorial policy
Annotated catalogue (2011)
Annotated catalogue (2012)
Annotated catalogue (2013)
Annotated catalogue (2014)
Annotated catalogue (2015)
Annotated catalogue (2016)
Annotated catalogue (2017)
Annotated catalogue (2018)
Annotated catalogue (2019)
Annotated catalogue (2020)
Annotated catalogue (2021)
Annotated catalogue (2022)
Annotated catalogue (2023)
Annotated catalogue (2024)
Thematic sections of the journal
Proceedings of scientific conferences
|
Displaying the R-Assessment of the Enterprise’s Level of Financial Condition on the Verbal-Numerical Scale Tyzhnenko A. G.
Tyzhnenko, Alexander G. (2021) “Displaying the R-Assessment of the Enterprise’s Level of Financial Condition on the Verbal-Numerical Scale.” Business Inform 6:100–107. https://doi.org/10.32983/2222-4459-2021-6-100-107
Section: Economic and Mathematical Modeling
Article is written in UkrainianDownloads/views: 0 | Download article (pdf) - |
UDC 330.43 (075.8)
Abstract: The publication considers the features of construction of the so-called «Harrington’s scale», which is widely used for economic research in Ukraine. It is demonstrated that the scale proposed by Harrington cannot be applied for arbitrary economic indicators. For the purposes of this study, an analysis of the applicability of the Harrington’s function for specific economic studies is carried out and it is shown that the «Harrington’s scale» cannot be applied to economic indicators, the increase in the value of which indicates an increase in the «quality» of the functioning of enterprise, for example, such as the «economic potential of the enterprise» or the enterprise’s «level of financial condition» (the latter requires the construction of a verbal scale according to the new probabilistic principle which is considered in this article). The indicator of «level of financial condition» is chosen because, as a rule, the current monitoring of the financial condition of enterprise is to be carried out automatically, by means of the appropriate tools, based on the multi-criteria methods for assessing the level of financial condition. One of these methods is the method of R-assessment of the financial condition of enterprise according to the Sayfullin – Kadykov model, which takes into account five criteria and puts them in line with the R-assessment. The article considers the main provisions of Harrington’s work in order to provide the possibility of correct use of the Harrington’s desirability function for the qualitative assessment of economic indicators, including complex and integral indicators that are used to monitor the financial condition of enterprise. The article proposes another function in place of desirability function, namely the function of distribution of the indicator under research, whether theoretical or empirical. In addition, the limit values that separate the different values of the linguistic variable at the base interval are proposed to be determined according to the statistics of the group of companies to which the enterprise under research belongs, or can be included according to the criterion of homogeneity with any enterprise of the researched group. An example of constructing the correct qualitative scale for a normally distributed variable of «level of financial condition of the enterprise» at the probabilistic level is provided. Attention is drawn to the fact that the boundary values of the qualitative scale significantly depend on the law of distribution of the variable under research.
Keywords: Harrington’s scale, desirability function, function of distribution of indicator, method of R-assessment of the financial condition of enterprise.
Fig.: 5. Tabl.: 2. Formulae: 10. Bibl.: 15.
Tyzhnenko Alexander G. – Candidate of Sciences (Physics and Mathematics), Associate Professor, Associate Professor, Department of Higher Mathematics and Economic and Mathematical Methods, Simon Kuznets Kharkiv National University of Economics (9a Nauky Ave., Kharkiv, 61166, Ukraine) Email: [email protected]
List of references in article
Lyubushin, N. P. Kompleksnyy ekonomicheskiy analiz khozyaystvennoy deyatelnosti [Comprehensive Economic Analysis of Economic Activities]. Moscow: YuNITI-DANA, 2005.
Litvak, B. G. Ekspertnyye otsenki i prinyatiye resheniy [Expert Judgment and Decision Making]. Moscow: Patent, 1996.
Adler, Yu. P., Markova, Ye. V., and Granovskiy, Yu. V. Planirovaniye eksperimenta pri poiske optimalnykh usloviy [Planning an Experiment When Searching for Optimal Conditions]. Moscow: Nauka, 1976.
Fedorov, V. D. Izmeneniya v prirodnykh biologicheskikh sistemakh [Changes in Natural Biological Systems]. Moscow: Sport i Kultura, 2004.
Khamkhanov, K. M. “Osnovy planirovaniya eksperimenta“ [Experiment Planning Fundamentals]. Ulan-Ude : Vostochno-Sibirskiy gosudarstvennyy tekhnologicheskiy universitet, 2001. http://window.edu.ru/resource/438/18438/files/Mtdukm8.pdf
Varzhapetyan, A. G. Kvalimetriya [Qualimetry]. St. Petersburg: Sankt-Peterburgskiy gosudarstvennyy universitet aerokosmicheskogo priborostroeniya, 2005.
Baranov, L. T., Ptushkin, A. I., and Trudov, A. V. “Nechetkiye mnozhestva v ekspertnom oprose“ [Fuzzy Sets in an Expert Survey]. Sotsiologiya, no. 19 (2004): 142-156.
Loyko, V. I., and Yefanova, N. V. “Podkhod k analizu vnutrenney sredy integrirovannoy proizvodstvennoy sistemy s tseliu ucheta riskovoy sostavliaiushchey“ [Approach to the Analysis of Internal Environment of Integrated Production System with the Aim of Account of Risk Constituent]. Nauchnyy zhurnal KubGAU. 2008. http://ej.kubagro.ru/2008/01/pdf/12.pdf
Zade, L. A. Ponyatiye lingvisticheskoy peremennoy i yego primeneniye k prinyatiyu priblizhennykh resheniy [The Concept of a Linguistic Variable and Its Application to Making Approximate Decisions]. Moscow: Mir, 1976.
Harrington, E. C. Jr. “The Desirability Function“. Industrial Quality Control, vol. 21 (1965): 494-498.
Derringer, G., and Suich, R. “Simultaneous Optimization of Several Response Variables“. Journal of Quality Technology, vol. 12, no. 4 (1980): 214-219. DOI: https://doi.org/10.1080/00224065.1980.11980968
“Engineering Statistics Handbook“. http://www.itl.nist.gov/div898/handbook/pri/section5/pri5322.htm
Multiple Criteria Decision Analysis: State of the Art Surveys. Kluwer Academic Publishers, 2016.
Ribardo, C., and Allen, T. T. “An Alternative Desirability Function for Achieving “Six Sigma” Quality“. Quality and Reability Engineering International, vol. 19, no. 3 (2003): 227-240. DOI: https://doi.org/10.1002/qre.523
Malyarets, L. M. “Sistema izmeriteley v bankovskom kontrollinge“ [Measuring System in Banking Controlling]. Ekonomika rozvytku, no. 3 (2004): 10-15.
|
FOR AUTHORS
License Contract
Conditions of Publication
Article Requirements
Regulations on Peer-Reviewing
Publication Contract
Current Issue
Frequently asked questions
INFORMATION
The Plan of Scientific Conferences
OUR PARTNERS
Journal «The Problems of Economy»
|