{"id":3133,"date":"2025-07-12T23:13:56","date_gmt":"2025-07-12T22:13:56","guid":{"rendered":"http:\/\/newskbncran.ru\/?page_id=3133"},"modified":"2026-04-13T09:56:50","modified_gmt":"2026-04-13T08:56:50","slug":"27-3-14-en","status":"publish","type":"page","link":"https:\/\/izvestiyakbncran.ru\/index.php\/en\/27-3-14-en\/","title":{"rendered":"27.3.14 en"},"content":{"rendered":"\n<h1 class=\"wp-block-heading has-lora-font-family\" style=\"font-size:24px\"><strong>Economic-mathematical modeling and instrumental methods for improving efficiency of sports reserve training<\/strong><\/h1>\n\n\n\n<p class=\"has-foreground-color has-text-color has-link-color has-lora-font-family has-extra-small-font-size wp-elements-c82d143b884133b601f4cd5bcedc13b0\" style=\"margin-top:0;margin-bottom:0;padding-top:0;padding-bottom:0\"><strong><strong><strong><strong><strong><strong><strong><strong><strong><strong><strong><strong>T.S. Demyanenko, E.A. Komov, L.M. Semenenko<\/strong><\/strong><\/strong><\/strong><\/strong><\/strong><\/strong><\/strong><\/strong><\/strong><\/strong><\/strong><\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity is-style-wide\" style=\"margin-top:var(--wp--preset--spacing--20);margin-bottom:var(--wp--preset--spacing--20)\"\/>\n\n\n\n<div class=\"wp-block-group is-nowrap is-layout-flex wp-container-core-group-is-layout-24a27e19 wp-block-group-is-layout-flex\" style=\"margin-top:0;margin-bottom:0;padding-top:0;padding-bottom:0\">\n<p class=\"has-text-color has-link-color has-lora-font-family has-extra-small-font-size wp-elements-fa99f84d8051eb763ab85c3007cdb1c2\" style=\"color:#5b1919;text-decoration:underline\"><strong><strong>Upload the full text<\/strong><\/strong><\/p>\n\n\n\n<div class=\"wp-block-group is-vertical is-layout-flex wp-container-core-group-is-layout-9151b400 wp-block-group-is-layout-flex\" style=\"min-height:0px;margin-top:0;margin-bottom:0;padding-top:0;padding-bottom:0\">\n<div class=\"wp-block-buttons is-content-justification-left is-layout-flex wp-container-core-buttons-is-layout-15bf754d wp-block-buttons-is-layout-flex\" style=\"margin-top:0;margin-bottom:0;padding-top:0;padding-right:0;padding-bottom:0;padding-left:0\">\n<div class=\"wp-block-button has-custom-width wp-block-button__width-100 is-style-outline is-style-outline--1\"><a class=\"wp-block-button__link has-background-background-color has-text-color has-background has-link-color has-border-color has-small-font-size has-custom-font-size wp-element-button\" href=\"http:\/\/izvestiyakbncran.ru\/wp-content\/uploads\/2025\/07\/demyanenko-komov-14.pdf\" style=\"border-color:#5b1919;border-style:solid;border-width:2px;border-radius:8px;color:#5b1919;padding-top:0.4rem;padding-right:var(--wp--preset--spacing--40);padding-bottom:0.4rem;padding-left:var(--wp--preset--spacing--40)\">PDF<\/a><\/div>\n<\/div>\n\n\n\n<div style=\"height:0px;width:0px\" aria-hidden=\"true\" class=\"wp-block-spacer wp-container-content-273e683f\"><\/div>\n<\/div>\n<\/div>\n\n\n\n<p class=\"has-foreground-color has-text-color has-link-color has-lora-font-family has-extra-small-font-size wp-elements-0cccc80e5f6a55894b7d6b7ad21636c1\" style=\"line-height:1.4\"><strong><em><strong>Abstract<\/strong>.<\/em><\/strong> The article addresses issues of increasing the economic efficiency for the sports reserve training. Young athletes are viewed as valuable assets, and the training process as an optimizing investment project. Aim. The objective is to develop an economic and mathematical model increasing the human capital return on investment (HCROI) through personalizing training management. Materials and methods. Cluster analysis is used as an investigation method. Results. The K-means clustering algorithm has effectively grouped 103 athletes, who met 15 objective parameters, into two homogeneous groups. Analysis of variance (ANOVA) confirmed significant differences between the groups, allowing them to be interpreted as two types of assets with different potential and risks. For each cluster are developed differentiated management strategies (training programs) aimed at maximizing their &#171;value&#187; (athletic potential) and minimizing risks (injuries, dropout). Conclusion. The study shows that mathematical models facilitate the transition from intuitive to scientific management of sports assets, thereby improving the overall performance of sports organizations.<\/p>\n\n\n\n<p class=\"has-foreground-color has-text-color has-link-color has-lora-font-family has-extra-small-font-size wp-elements-157a4e31217319721eb16e646202f317\" style=\"line-height:1.4\"><strong><em><strong>Keywords<\/strong>:<\/em><\/strong> economic-mathematical modeling, cluster analysis, human capital, K-means, sports asset management, resource optimization, investment efficiency, sports economics, ice hockey<\/p>\n\n\n\n<p class=\"has-foreground-color has-text-color has-link-color has-lora-font-family wp-elements-f80f2db5440bc9d75f6372a01eeaf3b8\" style=\"font-size:12px;line-height:1.4\"><strong><strong>For citation<\/strong>.<\/strong> Demyanenko T.S., Komov E.A., Semenenko L.M. Economic-mathematical modeling and instrumental methods for improving efficiency of sports reserve training. <em>News of the Kabardino-Balkarian Scientific Center of RAS<\/em>. 2025. Vol. 27. No. 3. Pp. 179\u2013188. DOI: 10.35330\/1991-6639-2025-27-3-179-188<\/p>\n\n\n\n<details class=\"wp-block-details has-foreground-color has-text-color has-link-color has-lora-font-family has-extra-small-font-size wp-elements-ea7421642c3bc6063820b9c4c4140547 is-layout-flow wp-container-core-details-is-layout-0ab540ad wp-block-details-is-layout-flow\" style=\"font-style:normal;font-weight:700;line-height:1.5\"><summary><strong>R<\/strong>eferences<\/summary>\n<ol style=\"margin-top:0;margin-bottom:0\" class=\"wp-block-list\">\n<li style=\"font-style:normal;font-weight:400\">Guba V.P., Kvashuk P.V., Nikitushkin V.G. Individualizatsiya podgotovki yunykh sportsmenov [Individualization of the training of young athletes]. Moscow: Fizkultura i sport, 276 p. EDN: QWSEHR. (In Russian)<\/li>\n\n\n\n<li style=\"font-style:normal;font-weight:400\">Lindt T.A. Physical development parameters of hockey players aged 11 to 21. Lechebnaya fizkultura i sportivnaya meditsina [Physical therapy and sports medicine]. 2016. Vol. 1(133). Pp. 12\u201317. EDN: VPQFOX. (In Russian)<\/li>\n\n\n\n<li style=\"font-style:normal;font-weight:400\">Jain A.K. Data clustering: 50 years beyond K-means. Pattern Recognition Letters. 2010. Vol. 31(8). Pp. 651\u2013666.<\/li>\n\n\n\n<li style=\"font-style:normal;font-weight:400\">Eremich N.A., Shestakov M.P. Clustering of movement control indicators in elite athletes. Vestnik sportivnoy nauki [Sports Science Bulletin]. 2023. Vol. 2. Pp. 83\u201389. EDN: YHBVJE. (In Russian)<\/li>\n\n\n\n<li style=\"font-style:normal;font-weight:400\">Surina-Marysheva E.F., Erlikh V.V., Korableva Yu.B., Kantyukov S.A. Heart rate variability in predicting the professional career prospects of 15-16-year-old elite hockey players. Teoriya i pracktika fizicheskoy kultury [Theory and practice of physical education]. 2019. Vol. 2. Pp. 29\u201331. EDN: PPICTP. (In Russian)<\/li>\n<\/ol>\n<\/details>\n\n\n\n<details class=\"wp-block-details has-foreground-color has-text-color has-link-color has-lora-font-family has-extra-small-font-size wp-elements-edf4a04367b050502c24098d437c90f4 is-layout-flow wp-container-core-details-is-layout-5dafc681 wp-block-details-is-layout-flow\" style=\"font-style:normal;font-weight:700;line-height:1.5\"><summary><strong>Information about the authors<\/strong><\/summary>\n<div class=\"wp-block-group is-vertical is-layout-flex wp-container-core-group-is-layout-b291ae12 wp-block-group-is-layout-flex\" style=\"min-height:0px;margin-top:0;margin-bottom:0;padding-top:var(--wp--preset--spacing--20);padding-right:var(--wp--preset--spacing--40);padding-bottom:var(--wp--preset--spacing--20);padding-left:var(--wp--preset--spacing--40)\">\n<p style=\"font-style:normal;font-weight:400\"><strong>Tatyana S. Demyanenko<\/strong>, Candidate of Economic Sciences, Associate Professor of the Department of<br>Mathematical and Computer Modeling, South Ural State University (National Research University);<br>454080, Russia, Chelyabinsk, 76, V.I. Lenin \u0430venue;<br>demianenkots@susu.ru, ORCID: https:\/\/orcid.org\/0000-0002-2420-5356, SPIN-code: 7170-3021<br><strong>Evgeniy A. Komov<\/strong>, student of \u0415\u0422-414 group, South Ural State University (National Research<br>University);<br>454080, Russia, Chelyabinsk, 76, V.I. Lenin \u0430venue;<br>besbogov@mail.ru<br><strong>Lyubov M. Semenenko<\/strong>, student of \u0415\u0422v-229 group, South Ural State University (National Research<br>University);<br>454080, Russia, Chelyabinsk, 76, V.I. Lenin \u0430venue;<br>lubashtyka28@gmail.com<\/p>\n\n\n\n<p style=\"font-style:normal;font-weight:400\"><\/p>\n\n\n\n<p style=\"font-style:normal;font-weight:400\"><\/p>\n\n\n\n<p style=\"font-style:normal;font-weight:400\"><\/p>\n<\/div>\n<\/details>\n","protected":false},"excerpt":{"rendered":"<p>Economic-mathematical modeling and instrumental methods for improving efficiency of sports reserve training T.S. Demyanenko, E.A. Komov, L.M. Semenenko Upload the full text Abstract. The article addresses issues of increasing the economic efficiency for the sports reserve training. Young athletes are viewed as valuable assets, and the training process as an optimizing investment project. Aim. The [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"wp-custom-template-home","meta":{"footnotes":""},"class_list":["post-3133","page","type-page","status-publish","hentry"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.5 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>27.3.14 en - \u0418\u0417\u0412\u0415\u0421\u0422\u0418\u042f \u041a\u0410\u0411\u0410\u0420\u0414\u0418\u041d\u041e-\u0411\u0410\u041b\u041a\u0410\u0420\u0421\u041a\u041e\u0413\u041e \u041d\u0410\u0423\u0427\u041d\u041e\u0413\u041e \u0426\u0415\u041d\u0422\u0420\u0410 \u0420\u0410\u041d\u00bb<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/izvestiyakbncran.ru\/index.php\/en\/27-3-14-en\/\" \/>\n<meta property=\"og:locale\" content=\"ru_RU\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"27.3.14 en - \u0418\u0417\u0412\u0415\u0421\u0422\u0418\u042f \u041a\u0410\u0411\u0410\u0420\u0414\u0418\u041d\u041e-\u0411\u0410\u041b\u041a\u0410\u0420\u0421\u041a\u041e\u0413\u041e \u041d\u0410\u0423\u0427\u041d\u041e\u0413\u041e \u0426\u0415\u041d\u0422\u0420\u0410 \u0420\u0410\u041d\u00bb\" \/>\n<meta property=\"og:description\" content=\"Economic-mathematical modeling and instrumental methods for improving efficiency of sports reserve training T.S. 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Demyanenko, E.A. Komov, L.M. Semenenko Upload the full text Abstract. The article addresses issues of increasing the economic efficiency for the sports reserve training. Young athletes are viewed as valuable assets, and the training process as an optimizing investment project. Aim. 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