Mostrar el registro sencillo del ítem

dc.contributor.authorAnokhina, Marinaspa
dc.contributor.authorAbdrakhmanov, Rakhatspa
dc.contributor.authorEvgenevna Gridneva, Yelenaspa
dc.contributor.authorArrieta - López, Miltonspa
dc.contributor.authorRomanovna Dzhalilova, Nurayspa
dc.contributor.authorMeza - Godoy, Abelspa
dc.date.accessioned2020-04-01T19:38:50Z
dc.date.available2020-04-01T19:38:50Z
dc.date.issued2020
dc.identifier.issn2345-0282spa
dc.identifier.urihttps://hdl.handle.net/11323/6147spa
dc.description.abstractThe purpose of the study is to develop a mechanism for the formation of the competitive potential of the agricultural territories of Kazakhstan as the basis for ensuring the dynamic development of agricultural business in Kazakhstan. The research methodology is based on strategic alternative modeling for agricultural territories competitiveness management with the help of fuzzy cognitive logic. The study used a cognitive approach to decision making in the management of poorly structured systems proposed by V. Silov and actively developed in the works of modern scientists. Fifteen competent experts were invited to select the concepts and build a fuzzy cognitive map of the formation of the competitive potential of the agricultural territories of Kazakhstan. To carry out calculations and justify the content of the strategy, the authors used the software product “Intelligent generation of the best alternatives” (“IGLA”). The result of the study is the developed strategy for the management of agricultural territories competitiveness in Kazakhstan with a set of strategic goals and the best option for managerial impact, ensuring the formation of agricultural export potential of the region. The proposed version of the content of the strategy for managing the competitiveness of the agricultural territories of Kazakhstan can be used either as a system or as its separate elements in managing the development of agricultural business in the country and in developing strategic planning programs for the agro-industrial complex of the region. The novelty of the study in theoretical terms is justified by the approach to the formation of the country's agricultural export potential through ensuring the competitiveness of its agricultural territories. In methodological terms, the novelty of the study is expressed by the use of cognitive modeling technologies to develop a strategy for managing the competitiveness of Kazakhstan's agricultural territories, the implementation of which will allow achieving sustainable dynamics of agricultural production and increase the efficiency of the agricultural economy. The purpose of the study is to develop a mechanism for the formation of the competitive potential of the agricultural territories of Kazakhstan as the basis for ensuring the dynamic development of agricultural business in Kazakhstan. The research methodology is based on strategic alternative modeling for agricultural territories competitiveness management with the help of fuzzy cognitive logic. The study used a cognitive approach to decision making in the management of poorly structured systems proposed by V. Silov and actively developed in the works of modern scientists. Fifteen competent experts were invited to select the concepts and build a fuzzy cognitive map of the formation of the competitive potential of the agricultural territories of Kazakhstan. To carry out calculations and justify the content of the strategy, the authors used the software product “Intelligent generation of the best alternatives” (“IGLA”). The result of the study is the developed strategy for the management of agricultural territories competitiveness in Kazakhstan with a set of strategic goals and the best option for managerial impact, ensuring the formation of agricultural export potential of the region. The proposed version of the content of the strategy for managing the competitiveness of the agricultural territories of Kazakhstan can be used either as a system or as its separate elements in managing the development of agricultural business in the country and in developing strategic planning programs for the agro-industrial complex of the region. The novelty of the study in theoretical terms is justified by the approach to the formation of the country's agricultural export potential through ensuring the competitiveness of its agricultural territories. In methodological terms, the novelty of the study is expressed by the use of cognitive modeling technologies to develop a strategy for managing the competitiveness of Kazakhstan's agricultural territories, the implementation of which will allow achieving sustainable dynamics of agricultural production and increase the efficiency of the agricultural economyspa
dc.language.isoeng
dc.publisherEntrepreneurship and Sustainability Issuesspa
dc.rightsCC0 1.0 Universalspa
dc.rights.urihttp://creativecommons.org/publicdomain/zero/1.0/spa
dc.subjectAgro-industrial complexspa
dc.subjectKazakhstanspa
dc.subjectAgricultural territoriesspa
dc.subjectCompetitive potentialspa
dc.subjectCognitive modelingspa
dc.subjectFuzzy cognitive mapsspa
dc.subjectStatic and dynamic analysisspa
dc.subjectStrategic alternativesspa
dc.subjectCompetitiveness management strategyspa
dc.titleFormation of the competitive potential of the agricultural territoriesspa
dc.typeArtículo de revistaspa
dc.rights.accessrightsinfo:eu-repo/semantics/openAccessspa
dc.identifier.doihttp://doi.org/10.9770/jesi.2020.7.3(32)spa
dc.identifier.instnameCorporación Universidad de la Costaspa
dc.identifier.reponameREDICUC - Repositorio CUCspa
dc.identifier.repourlhttps://repositorio.cuc.edu.co/spa
dc.relation.referencesAndersen, E. 2017. The farming system component of European agricultural landscapes. European Journal of Agronomy, 82: 282-291.spa
dc.relation.referencesAtkin, R.H., Casti, J. 1977. Polyhedral dynamics and the geometry of systems, IIASA Research Report. IIASA, Laxenburg, Austria: RR77-006.spa
dc.relation.referencesAvdeeva, Z.K., Kovriga, S.V., and Makarenko, D.I. 2007. Cognitive modeling for solving problems in the management of weakly structured systems (situations). Management of Large Systems, 16: 26–39.spa
dc.relation.referencesAxelrod, R. 1976. The Structure of Decision: Cognitive Maps of Political Elites. Princeton, NJ: Prinston University Press.spa
dc.relation.referencesBautin, V. M., Kozlov, V. V., Merzlov, A. V. 2004. Ustoichivoe razvitie selskikh territorii: voprosy strategii i taktiki [Sustainable rural development: issues of strategy and tactics]. Moscow: FGNU ”Rosinformagrotekh”.spa
dc.relation.referencesBondarenko, L. 2015. Regionalnaya politika gosudarstvennoi podderzhki selskikh territorii [Regional policy of state support for rural areas]. APK: ekonomika, upravlenie: teoreticheskii i nauchno-prakticheskii zhurnal, 3: 71-82.spa
dc.relation.referencesBorisov, V. V., Kruglov, V. V., Fedulov, A. S. 2007. Fuzzy models and networks. Moscow. Hot line — Telecom.spa
dc.relation.referencesCasti, J. 1982. Connectivity, complexity, and catastrophe in large-scale systems. Moscow. Mir publishing house.spa
dc.relation.referencesD’Amico, M., Coppola, A., Chinnici, G., di Vita, G., Pappalardo G. 2013. Agricultural systems in the European Union: an analysis of regional differences. New Medit, 12(4): 28-34.spa
dc.relation.referencesDuff, A., Padilla A. 2015. Latin America: agricultural perspectives. Retrieved from: https://economics.rabobank.com/publications/2015/september/latin%2Damerica%2Dagricultural%2Dperspectives/spa
dc.relation.referencesErokhin, D. V., Lagerev, D. G., Laricheva, E. A., Podvesovskii, A. G. 2010. Strategic management of innovative activity of the enterprise. Bryansk. BSTU.spa
dc.relation.referencesGorelov, V. I., Karelova, O. L., Ledashcheva, T. N. 2012. System modeling in socio-economic sphere. Moscow. Logos.spa
dc.relation.referencesGuiomar, N., Godinho, S., Pinto-Correia, T., Almeida, M., Bartolini, F., Bezák, P., Biró, M., Bjørkhaug, H., Bojnec, Š., Brunori, G. et al. 2018. Typology and distribution of small farms in Europe: Towards a better picture. Land Use Policy, 75: 784-798.spa
dc.relation.referencesGuth, M., & Smędzik-Ambroży, K. 2019. Economic resources versus the efficiency of different types of agricultural production in regions of the European Union. Economic Research-Ekonomska Istraživanja. https://doi.org/10.1080/1331677X.2019.1585270spa
dc.relation.referencesIkonnikova, O. V. 2014. Osnovnye podkhody k klassifikatsii selskikh territorii: rossiiskii i zarubezhnyi opyt [The main approaches to the classification of rural areas: Russian and foreign experience]. Selskoe, lesnoe i vodnoe khozyaistvo, 11. Retrieved from: http://agro.snauka.ru/2014/11/1658spa
dc.relation.referencesIsaev, R. A., Podvesovskii, A. G. 2017. Generalized Model of Pulse Process for Dynamic Analysis of Sylov’s Fuzzy Cognitive Maps. CEUR Workshop Proceedings of the Mathematical Modeling Session at the International Conference Information Technology and Nanotechnology (MM-ITNT 2017), 1904: 57-63.spa
dc.relation.referencesKhasanov, S., Yuldoshev, S. 2001. Metodika otsenki investitsionnogo klimata [Investment Climate Assessment Methodology]. Investitsii v Rossii, 5, 40-46.spa
dc.relation.referencesKhitskov, I. et al. 2016. Selskaya territoriya — tsentr prityazheniya APK [Rural territory as the gravity center of the agricultural sector]. APK: ekonomika, upravlenie: teoreticheskii i nauchno-prakticheskii zhurnal, 11: 77-84.spa
dc.relation.referencesKolodenkova, A. E. 2017. Methods of decision support in the analysis of the feasibility of projects for information and management systems of industrial facilities. Ph.D. Thesis. Ufa State Aviation Technical University.spa
dc.relation.referencesKopeliovich, D. I., Podvesovskii, A. G., Safonov, A. L., Vilyukha, A. V., Isaev, R. A. 2018. Application of Fuzzy Cognitive Models in Computer — Aided Production Tooling Design. Herald of Computer and Information Technologies, 3: 20-35.spa
dc.relation.referencesKosko, B. 1986. Fuzzy cognitive maps. International Journal of Man-Mashine Studies. 24(1): 65-75.spa
dc.relation.referencesKrioni, N. K., Kolodenkova, A. E., Korobkin, V. V., Gubanov, N. G. 2016. Intelligent decision-making support system using cognitive modeling for project feasibility assessment on creating complex technical. International Journal of Applied Business and Economic Research, 14(10): 7289–7300.spa
dc.relation.referencesKruglov, V. V., Dli, M. I. 2002. Intellectual information systems: computer support of fuzzy logic and fuzzy inference. Moscow. Fizmatlit.spa
dc.relation.referencesKulinich, A. A. 2010. Computer systems for modeling cognitive maps: approaches and methods. Problems of Management, 3: 2-16.spa
dc.relation.referencesLogantsova, N. V. 2013. Metodika tipologizatsii selskikh territorii po urovnyu sotsialno-ekonomicheskoi bezopasnosti [Methodology of typologization of rural territories by the level of socio-economic security]. Ekonomika selskogo khozyaistva Rossii: Nauchno-Proizvodstv. Zhurnal, 9, 63-69.spa
dc.relation.referencesMaksimov, V. I. 2001. Cognitive technologies – from ignorance to understanding. Cognitive analysis and management of the development of situations (СASC). Proceedings of the 1st International Conference. Moscow. Institute of Control Sciences of the Russian Academy of Sciences, 1: 4–18.spa
dc.relation.referencesNechaev, V. 2016. Upravlenie zemelnymi resursami na osnove prognoza razvitiya rynka i ispolzovaniya zemel selskokhozyaistvennogo naznacheniya v Rossiiskoi Federatsii [Land management based on the forecast of market development and use of agricultural land in the Russian Federation]. APK: ekonomika, upravlenie: teoreticheskii i nauchno-prakticheskii zhurnal, 6: 43-53.spa
dc.relation.referencesPodvesovskii, A. G., Lagerev, D. G., Korostelyov, D. A. 2009. Application of Fuzzy Cognitive Models for Construction of Alternatives Set in Decision Problems. Bulletin of Bryansk State Technical University, 24: 77-84.spa
dc.relation.referencesPovesovskii, A. G., Lagerev D. G., Korostelev D. A. 2007. SPPR ”IGLA”. Sistema podderzhki prinyatiya reshenii “Intellektualnyi Generator Luchshikh Alternativ”. Bryanskii gosudarstvennyi tekhnicheskii universitet. Zaregistrirovana v OFAP. Svidetelstvo № 50200701348 [The “Intelligent Generator of the Best Alternatives” Decision Support System. Bryansk State Technical University. Registered at the Branch Fund of Algorithms and Programs (OFAP). Certificate No. 50200701348]. Retrieved from: http://iipo.tubryansk.ru/quill/download.htmlspa
dc.relation.referencesRoberts, F. 1978. Graph Theory and its applications to problems of society, society for industrial and applied mathematics. Philadelphia: Society for Industrial and Applied Mathematics.spa
dc.relation.referencesSilov, V. B. 1995. Making strategic decisions in fuzzy environment. Moscow. INPRO-ROS.spa
dc.relation.referencesSkalnaya, M. 2018. Dokhody selskogo naseleniya kak faktor sotsialnoi ustoichivosti selskikh territorii [The income of the rural population as a factor in the social stability of rural areas]. APK: ekonomika, upravlenie: teoreticheskii i nauchno-prakticheskii zhurnal, 1, 62-71.spa
dc.relation.referencesTarasov, A. N., Antonova, N. I. et al. 2016. Tipologizatsiya selskikh territorii na osnove diversifikatsii ekonomiki: monografiya [Typology of rural areas based on economic diversification: a monograph]. Rostov-on-Don: Azov Pechat.spa
dc.relation.referencesThe World Bank (2019b). Retrieved from: http://www.worldbank.org/en/countryspa
dc.relation.referencesThe World Bank (2019а). Retrieved from: https://data.worldbank.org/indicator/NV.AGR.TOTL.ZS?view=chartspa
dc.relation.referencesUSDA. (2017). World Agriculture Production. Retrieved from: URL:https://apps.fas.usda.gov/psdonline/circulars/production.pdfspa
dc.relation.referencesVoronin, A. G. Strategicheskoe planirovanie i upravlenie razvitiem territorii [Strategic planning and territory development management]. Moscow, 2007.spa
dc.relation.referencesZinchuk, G. M., Makekadyrova, A. S., Anokhina, M. E. et al. Formirovanie konkurentnogo potentsiala agrarnykh territorii Rossii [Formation of the competitive potential of agrarian territories of Russia. Ministerstvo nauki i vysshego obrazovaniya Rossiiskoi Federatsii. Moscow: 2018.spa
dc.type.coarhttp://purl.org/coar/resource_type/c_6501spa
dc.type.contentTextspa
dc.type.driverinfo:eu-repo/semantics/articlespa
dc.type.redcolhttp://purl.org/redcol/resource_type/ARTspa
dc.type.versioninfo:eu-repo/semantics/acceptedVersionspa
dc.type.coarversionhttp://purl.org/coar/version/c_ab4af688f83e57aaspa
dc.rights.coarhttp://purl.org/coar/access_right/c_abf2spa


Ficheros en el ítem

Thumbnail
Thumbnail

Este ítem aparece en la(s) siguiente(s) colección(ones)

  • Artículos científicos [3156]
    Artículos de investigación publicados por miembros de la comunidad universitaria.

Mostrar el registro sencillo del ítem

CC0 1.0 Universal
Excepto si se señala otra cosa, la licencia del ítem se describe como CC0 1.0 Universal