Análisis matricial de obstáculos a la innovación para gestionar un complejo multisectorial

Autores/as

  • Ludmila V. Obolenskaya Financial University under the Government of the Russian Federation, Moscow, Russia
  • Igor G. Tyutyunnik Financial University under the Government of the Russian Federation, Moscow, Russia.
  • Evgenia L. Moreva Financial University under the Government of the Russian Federation, Moscow, Russia.
  • Nataliya P. Simaeva Volgograd State University, Russia

Palabras clave:

Obstáculos a la innovación, heterogeneidad sectorial, matriz de heterogeneidad sectorial, complejo multisectorial, AIC, rango

Resumen

Este documento examina los obstáculos a la innovación en un complejo multisectorial. El propósito de este estudio es evaluar la importancia de estos obstáculos dada la heterogeneidad sectorial para diferenciar políticas innovadoras. La investigación se basa en los métodos de análisis matricial y procesamiento matemático de datos estadísticos. Numerosas publicaciones sobre el uso de modelos matriciales en la planificación estratégica y la gestión del desarrollo económico sirvieron de base teórica y de información para este estudio. Para lograr el objetivo del estudio, los autores introducen el concepto de matriz de heterogeneidad sectorial de obstáculos a la innovación. El enfoque de la formación y el uso de esta matriz se muestra en el ejemplo del complejo agroindustrial diversificado (AIC). Los resultados del estudio pueden ser de interés práctico para determinar las medidas de gestión prioritarias de la política de innovación

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Biografía del autor/a

Ludmila V. Obolenskaya, Financial University under the Government of the Russian Federation, Moscow, Russia

Financial University under the Government of the Russian Federation, Moscow, Russia

Igor G. Tyutyunnik, Financial University under the Government of the Russian Federation, Moscow, Russia.

Financial University under the Government of the Russian Federation, Moscow, Russia.

Evgenia L. Moreva, Financial University under the Government of the Russian Federation, Moscow, Russia.

Financial University under the Government of the Russian Federation, Moscow, Russia.

Nataliya P. Simaeva, Volgograd State University, Russia

Volgograd State University, Russia

Citas

Bellù, L.G. (2012). Social Accounting Matrix (SAM) for Analysing Agricultural and Rural Development Policies. Conceptual Aspects and Examples. FAO. Retrieved July 16, 2019, from http://www.fao.org/docs/up/easypol/936/sam_policy_impact_analysis_130en.pdf

Bogota Manual. Standardization of Indicators of Technological Innovation in Latin American and Caribbean Countries. (2001). Retrieved Juny, 2019, from http://www.uis.unesco.org/Library/Documents/Bogota%20Manual_eng.pdf

Dmitrienko, D.V., Sakharov, V.V., & Chertkov, A.A. (2017). Algoritm otsenki matritsy pryamykh zatrat v modeli analiza mezhotraslevykh svyazei V. Leonteva [Direct Cost Matrix Assessment Algorithm in the Inter-Sectoral Relations Analysis Model by V. Leontief]. Transportnoe delo Rossii, 3, 96-99.

Ifediora, C.O., Idoko, O.R., & Nzekwe, J. (2014). Organization's Stability and Productivity: The Role of SWOT Analysis. International Journal of Innovative and Applied Research, 2(9), 23-32.

Lee, M.C., & Su, L.E. (2014). Social Accounting Matrix Balanced Based on Mathematical Optimization Method and General Algebraic Modelling System. British Journal of Economics, Management & Trade, 4(8), 1174-1190.

Madsen, D.Ø. (2017). Not Dead Yet: The Rise, Fall and Persistence of the BCG Matrix. Problems and Perspectives in Management, 15(1), 19-34.

NACE Rev. 2. Statistical Classification of Economic Activities in the European Community. (2008). Retrieved July 16, 2019, from https://ec.europa.eu/eurostat/documents/3859598/5902521/KS-RA-07-015-EN.PDF/dd5443f5-b886-40e4-920d-9df03590ff91?version=1.0

Obolenskaya, L.V. (2016). Problema vyyavleniya faktorov, prepyatstvuyushchikh innovatsiyam i ekonomiko-statisticheskie podkhody k ee resheniyu [The Problem of Identifying Factors Hindering Innovation and Economic and Statistical Approaches to Its Solution]. Drukerovskii vestnik, 4, 124-139.

Official Website of Rosstat. (n.d.). Retrieved July 16, 2019, from http://www.gks.ru

Oslo Manual. Guidelines for Collecting and Interpreting Innovation Data (3rd ed.). (2005). OECD.

Prikaz Minselkhoza Rossii ot 29.04.2016 N 168 "Ob utverzhdenii sobiratelnykh klassifikatsionnykh gruppirovok "Agropromyshlennyi kompleks" [Order of the Ministry of Agriculture of Russia No. 168 "On Approval of the Collective Classification Groups "Agro-Industrial Complex"]. (2016, April 29). (Registered in the Ministry of Justice of Russia on July 18, 2016 No. 42891). Retrieved Juny 16, 2019, from http://www.consultant.ru/cons/cgi/online.cgi?req=doc&base=LAW&n=202159&fld=134&dst=100280,0&rnd=
0.37227845956719796#08720921515441872

Prikaz Rosstata ot 30.08.2017 N 563 (red. ot 13.10.2017) "Ob utverzhdenii statisticheskogo instrumentariya dlya organizatsii federalnogo statisticheskogo nablyudeniya za deyatelnostyu v sfere obrazovaniya, nauki, innovatsii i informatsionnykh tekhnologii" [Order of Rosstat No. 563 (as amended on October 13, 2017) "On Approval of Statistical Tools for Organization of Federal Statistical Monitoring of Activities in the Field of Education, Science, Innovation and Information Technology"]. (2017, August 30).

Retrieved Juny 16, 2019, from http://www.consultant.ru/cons/cgi/online.cgi?req=doc&base=LAW&n=280641&rnd=945059F8251CF7540A4A7D313C29402E&dst=
100022&fld=134#07821159279191652

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Publicado

2019-08-31

Cómo citar

Obolenskaya, L. V., Tyutyunnik, I. G., Moreva, E. L., & Simaeva, N. P. (2019). Análisis matricial de obstáculos a la innovación para gestionar un complejo multisectorial. Amazonia Investiga, 8(21), 596–601. Recuperado a partir de https://amazoniainvestiga.info/index.php/amazonia/article/view/141

Número

Vol. 8 Núm. 21 (2019)

Sección

Articles