Diseño de un modelo de gestión de productividad laboral en las organizaciones manufactureras de Medellín.

dc.contributorRojas López, Miguel David
dc.contributorJiménez Gómez, Luis Miguel
dc.contributorCentro de investigación y consultoría organizacional-CINCO-
dc.creatorReales Barrera, Reynaldo Rafael
dc.date.accessioned2020-03-10T14:00:41Z
dc.date.accessioned2022-09-21T18:24:15Z
dc.date.available2020-03-10T14:00:41Z
dc.date.available2022-09-21T18:24:15Z
dc.date.created2020-03-10T14:00:41Z
dc.date.issued2019-12-20
dc.identifierReales, R. (2019). Diseño de un modelo de gestión de productividad laboral en las organizaciones manufactureras de Medellín. Universidad Nacional de Colombia.
dc.identifierhttps://repositorio.unal.edu.co/handle/unal/76042
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/3408144
dc.description.abstractLa productividad laboral es un factor determinante del desarrollo económico y bienestar de las organizaciones, empleados, país y sociedad en general. Por tal motivo, el concepto de productividad laboral ha sido estudiado por diferentes disciplinas, siendo la economía la que lo ha hecho a mayor profundidad. Esta investigación se enfoca en las organizaciones manufactureras de Medellín, siendo este un sector con alta importancia en los índices de productividad de la región. El trabajo de campo se realiza con líderes y expertos con experiencia en el sector de manufactura o productividad laboral. La investigación se realizó en un periodo de 1 año, en cual se realizó una primera etapa de investigación y análisis descriptivo de las variables que inciden en la productividad, y posteriormente se formuló el modelo. A través del software de la caja de herramientas de Godet Micmac se realiza el análisis estructural de 24 variables con incidencia en la productividad laboral. De este análisis se obtiene como resultado un modelo de gestión de la productividad laboral conformado por las variables organizacionales: plan de entrenamiento, formalidad del trabajo y estrategia de mantenimiento, enmarcado por la variable individual de liderazgo.
dc.description.abstractLabor productivity is a determining factor in the economic development and well-being of organizations, employees, country and society in general. For this reason, the concept of labor productivity has been studied by different disciplines, being the economy the one that has done in greater depth. This research focuses on the manufacturing organizations of Medellín, this being a sector with high importance in the productivity indices of the region. Field work is carried out with leaders and experts with experience in the manufacturing or labor productivity sector. The research was carried out in a period of 1 year, in which a first stage of research and descriptive analysis of the variables included in the productivity was carried out, and subsequently the model was formulated. Through the software of the Godet Micmac toolbox, a structural analysis of 24 variables with an impact on labor productivity is carried out. This analysis results in a labor productivity management model made up of the organizational variables: training plan, work formality and maintenance strategy, framed by the individual leadership variable.
dc.languagespa
dc.publisherDepartamento de Ingeniería de la Organización
dc.publisherUniversidad Nacional de Colombia - Sede Medellín
dc.relationAiello, F., & Ricotta, F. (2016). Firm heterogeneity in productivity across Europe: evidence from multilevel models. Economics of Innovation and New Technology, 25(1), 57–89.
dc.relationAlles, M. (2007). Comportamiento Organizacional: cómo lograr un cambio cultural a través de Gestión por Competencias. Buenos Aires, Argentina: Ediciones Granica, S.A.
dc.relationÁlvarez, C. (2006). Una aproximación al Concepto de Cultura Organizacional. Universitas Psychologica, 5(1): 163-174. Pontificia Universidad Javeriana. Bogotá, Colombia.
dc.relationAraújo Ibarra- Consultores en Negocios Internacionales. (2006). Quinientos nuevos productos y servicios, para nueve regiones de Colombia, con gran potencial de mercado en Estados Unidos.
dc.relationArrighetti, A., & Lasagni, A. (2013). Assessing the determinants of high-growth manufacturing firms in Italy. International Journal of the Economics of Business, 20(2), 245–267.
dc.relationBarufi, A. M. B., Haddad, E. A., & Nijkamp, P. (2016). Industrial scope of agglomeration economies in Brazil. The Annals of Regional Science, 56(3), 707–755.
dc.relationBatalla-Busquets, J.-M., & Myrthianos, V. (2015). The impact of innovation and the use of ICTs on human capital development in Spanish industry. Intangible Capital, 11(2), 249–269.
dc.relationBetim, L. M., Resende, L. M., De Andrade Junior, P. P., & Von Agner, T. (2014). Análise do nível de produtividade e competitividade em aglomerado produtivo de empresas. Revista ESPACIOS| Vol. 35 (No 4) Año 2014, 35(4), 19. Retrieved from http://www.revistaespacios.com/a14v35n04/14350420.html
dc.relationBhattacharya, M., & Narayan, P. (2015). Output and labor productivity in organized manufacturing: A panel cointegration analysis for India. International Journal of Production Economics, 170, 171–177.
dc.relationBloom, N., Genakos, C., Sadun, R., & Van Reenen, J. (2012). Management practices across firms and countries. The Academy of Management Perspectives, 26(1), 12–33.
dc.relationBotero García, J., & jabotero@eafit.edu.co. (2005, October 10). Los cambios en la productividad: medidas alternativas aplicadas a Colombia. Escuela de Economía y Finanzas. Retrieved from http://repository.eafit.edu.co/handle/10784/913
dc.relationCatela, E. Y., Cimoli, M., & Porcile, G. (2015). Productivity and Structural Heterogeneity in the Brazilian Manufacturing Sector: Trends and Determinants. Oxford Development Studies, 43(2), 232–252. http://doi.org/10.1080/13600818.2015.1020939
dc.relationCentro Nacional de Productividad- Colombia. (2008). Mensutation of the productivity of the added value. Técnica Administrativa, 7(2). Retrieved from http://www.cyta.com.ar/ta0702/v7n2a3.htm
dc.relationCequea, M. M. (2012). Modelo multifactorial para optimización de la productividad en el proceso de generación de energía eléctrica: aplicación al caso de las centrales hidroeléctricas venezolanas. Industriales.
dc.relationChan, L.-Y., Lin, H.-L., & Wang, C.-L. (2012). Industry-region position and economic performance of travel and tourism service industry: An agglomeration perspective. Asia Pacific Journal of Tourism Research, 17(5), 562–576.
dc.relationChauhan, G. (2016). An analysis of the status of resource flexibility and lean manufacturing in a textile machinery manufacturing company. International Journal of Organizational Analysis, 24(1), 107–122.
dc.relationChen, Z., & Sarker, B. R. (2015). Aggregate production planning with learning effect and uncertain demand: A case based study. Journal of Modelling in Management, 10(3), 296–324.
dc.relationChiavenato, I. (2011). Administración de recursos humanos (Novena.). Madrid: McGraw-Hill Interamericana de España, S.L. Retrieved from http://www.casadellibro.com/libro-administracion-de-recursos- humanos-9-ed/9786071505606/1885896
dc.relationConsejo Privado de Competitividad. (2012). Informe Nacional de Competitividad 2012-2013. Bogotá. Retrieved from http://www.compite.com.co/site/wp- content/uploads/2012/11/INC-2012-2013.pdf
dc.relationConsejo Privado de Competitividad. (2013). Informe Nacional de Competitividad 2013-2014. Bogotá. Retrieved from http://www.compite.com.co/site/wp- content/uploads/2013/11/CPC_INC2013-2014-Informe.pdf
dc.relationConsejo Privado de Competitividad. (2014). Política de Desarrollo Productivo para Colombia. Bogotá D.C. Retrieved from http://www.compite.com.co/site/wp- content/uploads/2014/11/CPC_PDP-Informe.pdf
dc.relationConsejo Privado de Competitividad. (2016). Informe Nacional de Competitividad 2016 - 2017. Bogotá D.C. Retrieved from https://compite.com.co/informes/
dc.relationCouto, A., & Graham, D. (2009). The determinants of efficiency and productivity in European railways. Applied Economics, 41(22), 2827–2851. Retrieved from http://www.tandfonline.com/doi/abs/10.1080/00036840801949782
dc.relationCzumanski, T., & Lšdding, H. (2012). Integral Analysis of Labor Productivity. Procedia CIRP, 3, 55–60. http://doi.org/10.1016/j.procir.2012.07.011
dc.relationD. Nguyen, L., & T. Nguyen, H. (2013). Relationship between building floor and construction labor productivity: A case of structural work. Engineering, Construction and Architectural Management, 20(6), 563–575.
dc.relationDa Rosa Cardoso, R., de Lima, E. P., & da Costa, S. E. G. (2012). Identifying organizational requirements for the implementation of Advanced Manufacturing Technologies (AMT). Journal of Manufacturing Systems, 31(3).
dc.relationDalgıç, B., Fazlıoğlu, B., & Karaoğlan, D. (2015). Entry to foreign markets and productivity: Evidence from a matched sample of Turkish manufacturing firms. The Journal of International Trade & Economic Development, 24(5), 638–659.
dc.relationDANE. (2013). Ficha Metodológica Encuesta Anual Manufacturera. Bogotá D.C.: DANE. Retrieved from http://www.dane.gov.co/files/investigaciones/fichas/industria/ficha_eam_26_0 9_13.pdf
dc.relationDANE. (2015). Encuesta Anual Manufacturera - EAM- 2013 Definitivas. Bogotá D.C.: DANE. Retrieved from http://www.dane.gov.co/files/investigaciones/boletines/eam/boletineseamAne x_2013.pdf
dc.relationDANE. (2016a). Boletín técnico. Encuesta Anual Manufacturera – EAM 2015. Bogotá D.C. Retrieved from https://www.dane.gov.co/files/investigaciones/boletines/eam/boletin_eam_20 15.pdf
dc.relationDANE. (2016b). Boletín técnico EAM 2014. Bogotá D.C. Retrieved from https://www.dane.gov.co/index.php/estadisticas-por-tema/industria/encuesta- anual-manufacturera-enam/eam-historicos
dc.relationDANE. (2016c). Indicadores Básicos de Tenencia y Uso de Tecnologías de la Información y Comunicación en empresas 2014. Bogotá D.C. Retrieved from http://www.dane.gov.co/index.php/estadisticas-por-tema/tecnologia-e- innovacion/tecnologias-de-la-informacion-y-las-comunicaciones- tic/indicadores-basicos-de-tic-en-empresas/indicadores-basicos-de-tic-en- empresas-historicos
dc.relationDavide, A., Mazzanti, M., & Pini, P. (2010). Productivity, innovation strategies and industrial relations in SMEs. Empirical evidence for a local production system in northern Italy. International Review of Applied Economics, Vol. 24(No. 4), 453–482. Retrieved from http://eds.a.ebscohost.com.ezproxy.unal.edu.co/eds/pdfviewer/pdfviewer?vid=3&sid=33bc978b-5bda-4b30-a632- ef7cbe02e1cb@sessionmgr4001&hid=4205
dc.relationDean, A. (2015). Power over Profits: The Political Economy of Workers and Wages. Politics & Society, 43(3), 333–360.
dc.relationDemeter, K., Chikán, A., & Matyusz, Z. (2011). Labour productivity change: Drivers, business impact and macroeconomic moderators. International Journal of Production Economics, 131(1), 215–223. http://doi.org/10.1016/j.ijpe.2010.11.003
dc.relationDepartamento Nacional de Estadística. (2015). Indicadores Laborales de Industria. Bogotá D.C. Retrieved from http://www.dane.gov.co/index.php/estadisticas-por- tema/industria/indicadores-laborales-de-industria
dc.relationDianat, I., Vahedi, A., & Dehnavi, S. (2016). Association between objective and subjective assessments of environmental ergonomic factors in manufacturing plants. International Journal of Industrial Ergonomics, 54, 26–31.
dc.relationDirección de Metodología y Producción Estadística. (2011). Metodología de la Encuesta Anual Manufacturera. Bogotá D.C.
dc.relationDosi, G., Grazzi, M., Tomasi, C., & Zeli, A. (2012). Turbulence underneath the big calm? The micro-evidence behind Italian productivity dynamics. Small Business Economics, 39(4), 1043–1067
dc.relationDrucker, P. F. (1984). The new meaning of corporate social responsibility. California Management Review, 26(2), 53–63.
dc.relationEl-Khalil, R. (2015). Simulation analysis for managing and improving productivity: A case study of an automotive company. Journal of Manufacturing Technology Management, 26(1), 36–56.
dc.relationEngland, G. W. (1967). Organizational Goals and Expected Behavior of American Managers. Academy of Management Journal. http://doi.org/10.2307/254630
dc.relationEricson, R. F. (1969). The Impact of Cybernetic Information Technology on Management Value Systems. Management Science. http://doi.org/10.1287/mnsc.16.2.B40
dc.relationFahed-Sreih, J. (2012). The effect of investing in hiring, human resource planning, and employee development on labor productivity: case of Lebanon. Journal of International Business Research, 11(1).
dc.relationFalk, M., & Hagsten, E. (2015). E-commerce trends and impacts across Europe, 170, 357–369. http://doi.org/10.1016/j.ijpe.2015.10.003
dc.relationFischer, J., Vltavská, K., Doucek, P., & Hančlová, J. (2013). The influence of information and communication technologies on labour productivity and total factor productivity in the Czech Republic. Politická Ekonomie, 2013(5), 653– 674.
dc.relationFoon Tang, C. (2012). The non-monotonic effect of real wages on labour productivity: New evidence from the manufacturing sector in Malaysia. International Journal of Social Economics, 39(6), 391–399.
dc.relationFraga, G. J. (2016). Foreign direct investment, trade openness and productivity: evidence from brazillian industries. Espacios, 37(14), 30. Retrieved from: http://www.revistaespacios.com/a16v37n14/16371430.html
dc.relationFritzsche, L., Wegge, J., Schmauder, M., Kliegel, M., & Schmidt, K.-H. (2014). Good ergonomics and team diversity reduce absenteeism and errors in car manufacturing. Ergonomics, 57(2), 148–161.
dc.relationFuentes, A. (2014). A vocation for industrial transformation: ideology, organizational isomorphism, and upgrading in the guatemalan sugar industry. Studies in Comparative International Development, 49(3), 370–401.
dc.relationGodet M. (1993). De la Anticipación a la Acción. Manual de prospectiva y estrategia. Marcombo
dc.relationGonzalo, J., Marín, A., Isabel, M., Gaviria, D. R., Andrés, D., Zuluaga, H., & De Citación, F. (2016). La gerencia del mantenimiento: una revisión maintenance management: a review gestão de manutenção: UMA REVISÃO 127.
dc.relationGhazali, Z., & Halib, M. (2005). PRODUCTIVITY-BASED GROUP INCENTIVE-
dc.relationSCHEME: A Human Resource Strategy for Competitive Advantage in a Malaysian Manufacturing Company. In UM FBA Asian Business Conference 2005. University of Malaya.
dc.relationGrifell-Tatjé, E., & Lovell, C. A. K. (2008). Productivity at the post: its drivers and its distribution. Journal of Regulatory Economics, 33(2), 133–158. Retrieved from http://eds.b.ebscohost.com/eds/pdfviewer/pdfviewer?vid=3&sid=676e3dc4- 4530-4376-9a27-14cda2529da6%40sessionmgr115&hid=104
dc.relationGuimarães, L. B. de M., Ribeiro, J. L. D., & Renner, J. S. (2012). Cost–benefit analysis of a socio-technical intervention in a Brazilian footwear company. Applied Ergonomics, 43(5), 948–957.
dc.relationGüngör, M., & Ağaç, S. (2014). Resource-constrained mixed model assembly line balancing in an apparel company. Tekstil ve Konfeksiyon, 24(4), 405–412.
dc.relationHassan, M. A. (2016). Labour-management relations: Precursor for industrial harmony and workers productivity in public and private sectors in Nigeria. MANAGEMENT EDUCATION, 16(2), 1–11.
dc.relationHernández, Y., Mendieta, A., & Hernández, G. (2013). Modelo de rotación de personal y prácticas organizacionales. Historia Y Comunicación Social, 18, 837–863.
dc.relationHoffmeister, K., Gibbons, A., Schwatka, N., & Rosecrance, J. (2015). Ergonomics Climate Assessment: A measure of operational performance and employee well-being. Applied Ergonomics, 50, 160–169.
dc.relationHovanec, M., Sinay, J., Kamenický, L., Skřehot, P., & František, H. (2015). Evaluation of Practical Application of Plant Simulation in the Form of Experiments. NAŠE MORE, Znanstveno-Stručni Časopis Za More I Pomorstvo, 62(3 Special Issue), 193–199.
dc.relationIkram, A., & Su, Q. (2015). Determinants of Productivity in the Ready-made Garments SMEs of Lahore, Pakistan. In E. Qi, Q. Su, J. Shen, F. Wu, & R. Dou (Eds.), Proceedings of the 5th International Asia Conference on Industrial Engineering and Management Innovation (IEMI2014) (Vol. 1, pp. 251–256). Paris: Atlantis Press. http://doi.org/10.2991/978-94-6239-100-0
dc.relationInstitute Management Development. (2012). World Competitiveness Ranking 2012. Lausanne.
dc.relationIslam, S., & Shazali, S. T. S. (2011). Determinants of manufacturing productivity: pilot study on labor-intensive industries. International Journal of Productivity and Performance Management, 60(6), 567–582. http://doi.org/10.1108/17410401111150751
dc.relationJaimes, L (2017). Modelo de productividad laboral para pymes del sector confecciones en el Área Metropolitana de Bucaramanga. Universidad Nacional de Colombia.
dc.relationJames, L., Guile, D., & Unwin, L. (2013). Learning and innovation in the knowledge-based economy: beyond clusters and qualifications. Journal of Education and Work, 26(3), 243–266.
dc.relationJarkas, A. M., Kadri, C. Y., & Younes, J. H. (2012). A Survey of Factors Influencing the Productivity of Construction Operatives in the State of Qatar. International Journal of
dc.relationKamaruddin, S., A. Khan, Z., Noor Siddiquee, A., & Wong, Y.-S. (2013). The impact of variety of orders and different number of workers on production scheduling performance: A simulation approach. Journal of Manufacturing Technology Management, 24(8), 1123–1142.
dc.relationKarjalainen, J., Miettinen, I., & Mikkola, T. (2005). Productivity drivers in machine and metal product manufacturing. Production Planning & Control, 16(8), 743– 751. Retrieved from http://eds.b.ebscohost.com.ezproxy.unal.edu.co/eds/detail/detail?vid=3&sid=9 ceb6e0f-597e-450d-bb9d- 258aaa9db547%40sessionmgr114&hid=117&bdata=Jmxhbmc9ZXMmc2l0ZT 1lZHMtbGl2ZQ%3D%3D#db=bth&AN=19063583
dc.relationKato, A., & Sato, T. (2014). The effect of corruption on the manufacturing sector in India. Economics of Governance, 15(2), 155–178.
dc.relationKaur, P., Marriya, K., & Kashyap, R. (2016). Assessment of lean in apparel export industry of national capital region (India). Journal of Textile Abd Apparel , Technology and Management, 10(1), 1–17.
dc.relationKazaz, A., & Ulubeyli, S. (2007). Drivers of productivity among construction workers: A study in a developing country. Building and Environment, 42(5), 2132–2140. http://doi.org/10.1016/j.buildenv.2006.04.020
dc.relationKhan, I. A. (2014). Multi-response ergonomic design of human–CNC machine interface. International Journal on Interactive Design and Manufacturing (IJIDeM), 8(1), 13–31.
dc.relationKleiner, M. M., Nickelsburg, J., & Pilarski, A. M. (2012). Organizational and individual learning and forgetting. Industrial & Labor Relations Review, 65(1), 68–81.
dc.relationLeuro, G. D. (2005). Introducción al módulo Productividad. Catedra Virtual de Productividad Y Competitividad. Bucaramanga: SENA, UNAB, Ministerio de Industria y Comercio.
dc.relationLewis, W. (2004). The Power of Productivity: Wealth. Poverty and the Threat to Global Stability, Hrsg. von McKinsey & Company, London Und Chicago.
dc.relationLin, Y.-H., Chien, C.-F., & Yu, C.-M. (2015). Unison decision analysis framework for workforce planning for semiconductor FABS and an empirical study. International Journal of Industrial Engineering, 22(5), 631–644.
dc.relationLiu, T.-K., Chen, J.-R., Huang, C. J., & Yang, C.-H. (2014). Revisiting the productivity paradox: A semiparametric smooth coefficient approach based on evidence from Taiwan. Technological Forecasting and Social Change, 81, 300–308.
dc.relationLukitaputri, A. A., Dachyar, M., & Yadrifil. (2015). Designing Jewellery Manufacturing Industry Productivity Improvement using DMAIC Method. International Journal of Applied Engineering Research, 10(13), 33836–33841.
dc.relationLuxhej, J.T., O. Riis, J., & Thorsteinsson, U. (1997). Trends and Perspectives in Industrial. Journal of Manufacturing Systems, 437–453.
dc.relationMacedo, L. B., Anzanello, M. J., Ribeiro, J. L. D., & Saurin, T. A. (2015). Participatory ergonomics intervention for improving human and production outcomes of a Brazilian furniture company. International Journal of Industrial Ergonomics, 49, 97–107.
dc.relationMankiw, N. G. (2012). Principios de economía: N. Gregory Mankiw ; traducido por Ma. Guadalupe Meza y Staines y Ma. del Pilar Carril Villarreal (6a. ed. --.). México D.F.: Cengage Learning.
dc.relationMatebu, A., & Shibabaw, M. (2015). Partial and Total Productivity Measurement Models for Garment Manufacturing Firms. Jordan Journal of Mechanical and Industrial Engineering, 9(3), 167–176.
dc.relationMathur, A., Mittal, M. L., & Dangayach, G. S. (2012). Improving productivity in Indian SMEs. Production Planning & Control, 23(10–11), 754–768. http://doi.org/10.1080/09537287.2011.642150
dc.relationMawdesley, M. J., & Al-Jibouri, S. (2009). Modelling construction project productivity using systems dynamics approach. International Journal of Productivity and Performance Management, 59(1), 18–36.
dc.relationMcMillan, M., & Rodrik, D. (2011). Globalization, structural change and productivity growth. In Making Globalization Socially Sustainable (pp. 49–85). Retrieved from http://www.nber.org/papers/w17143
dc.relationMiranda, J., & Toirac, L. (2010). Indicadores de productividad para la industria Dominicana. Ciencia Y Sociedad, XXXV(2), 235–290.
dc.relationMojahed, S., & Aghazadeh, F. (2008). Major factors influencing productivity of water and wastewater treatment plant construction: Evidence from the deep south USA. International Journal of Project Management, 26(2), 195–202. http://doi.org/10.1016/j.ijproman.2007.06.003
dc.relationMoradpour, H. R., Abdul Jalil, S., & Law, S. H. (2013). Iranian productivity in manufacturing sector: empirical evidence using panel estimation techniques. Pertanika Journal of Social Sciences & Humanities, 21(spec. Sep.), 141–158.
dc.relationMorgado, M., Teixeira, L., & Talaia, M. (2015). Creating productive workers in industrial context from the definition of thermal comfort. International Journal of Industrial Engineering and Management (IJIEM), 6(2), 75–84.
dc.relationMurali, R. V. (2012). Workforce assignment into virtual cells using learning vector quantization (LVQ) Approach. Research Journal of Applied Sciences, Engineering and Technology, 4(15), 2427–2435.
dc.relationNaoum, S. (2001). People and organizational management in construction. London: Thomas Telford.
dc.relationNaoum, S. G. (2016). Factors influencing labor productivity on construction sites: A state-of-the-art literature review and a survey. International Journal of Productivity and Performance Management, 65(3), 401–421. http://doi.org/10.1108/IJPPM-03-2015-0045
dc.relationNasirzadeh, F., & Nojedehi, P. (2013). Dynamic modeling of labor productivity in construction projects. International Journal of Project Management, 31(6), 903–911. http://doi.org/10.1016/j.ijproman.2012.11.003
dc.relationNunes, P. M., Serrasqueiro, Z., Nunes, A., & Mendes, L. (2013). The relationship between growth of companies and labour productivity in portuguese smes: a dynamic panel data approach. Transformations in business & economics, 12(3), 20–39.
dc.relationOficina Regional de la OIT para América Latina y el Caribe. (2012). Panorama Laboral 2012. América Latina y el Caribe. Lima. Retrieved from https://www.google.com.co/?gfe_rd=cr&ei=kDHuU6aTJsnB8gfp74DIAw&gws_rd=ssl#q=Panorama+Laboral+2012+América+Latina+y+el+Caribe Ongkunaruk, P., & Wongsatit, W. (2014). An ECRS-based line balancing concept: a case study of a frozen chicken producer. Business Process Management Journal, 20(5), 678–692.
dc.relationParida, P. C., & Pradhan, K. C. (2016). Productivity and efficiency of labour intensive manufacturing industries in India: An empirical analysis. International Journal of Development Issues, 15(2), 130–152.
dc.relationPorter, J. A. (2014). Why domestic outsourcing is leading America’s reemergence in global manufacturing. Business Horizons, 57(1), 27–36.
dc.relationPorter, M. E. (2009). Ser competitivo. Deusto. Retrieved from http://books.google.com/books?id=CIgKoErmS_MC&pgis=1
dc.relationPutnik, G. D., Alves, A. C., Dinis-Carvalho, J., & Sousa, R. M. (2012). Lean production as promoter of thinkers to achieve companies’ agility. The Learning Organization, 19(3), 219–237.
dc.relationRatnasingam, J., Loras, F., & Abrudan, I. V. (2012). An evaluation of occupational accidents in the wooden furniture industry–A regional study in South East Asia. Safety Science, 50(5), 1190–1195.
dc.relationRoca-Puig, V., Beltrán-Martín, I., & Segarra-Ciprés, M. (2012). Commitment to employees, labor intensity, and labor productivity in small firms A non-linear approach. International Journal of Manpower, 33(8), 938–954. http://doi.org/10.1108/01437721211280399
dc.relationRodríguez Benavides, D., & López Herrera, F. (2010). Exportaciones y productividad laboral del sector manufacturero en México. Problemas Del Desarrollo, 41(161), 41–56. Retrieved from http://www.scielo.org.mx/scielo.php?script=sci_arttext&pid=S0301- 70362010000200002&lng=es&nrm=iso&tlng=pt
dc.relationRojas, E. M., & Aramvareekul, P. (2003). Labor Productivity Drivers and Opportunities in the Construction Industry. Journal of Management in Engineering, 19(2), 78–82. http://doi.org/10.1061/(ASCE)0742- 597X(2003)19:2(78)
dc.relationRuane, F., & Ugur, A. (2005). Labour productivity and foreign direct investment in Irish manufacturing industry: a decomposition analysis. Economic and Social Review, 36(1), 19–43. Retrieved from http://www.esr.ie/ESR_papers/vol36_1/Vol36_1RuaneUgur.pdf
dc.relationSánchez, A. R. P., & García, M. J. (2013). Productividad y estructura sectorial: Elementos determinantes de las disparidades económicas regionales en España/Productivity and sectoral structure: Determinants of regional economic disparities in Spain. Revista de Estudios Regionales, (97), 137.
dc.relationSánchez, P. E., & Benito-Hernández, S. (2015). CSR policies: effects on labour productivity in Spanish micro and small manufacturing companies. Journal of Business Ethics, 128(4), 705–724.
dc.relationSatish, U., Cleckner, L., & Vasselli, J. (2013). Impact of VOCs on decision making and productivity. Intelligent Buildings International, 5(4), 213–220.
dc.relationShafi’i, M., & Ismail, N. W. (2015a). Innovation and productivity: evidence from firms level data on Malaysian manufacturing sector. International Journal of Economics and Management, 9(1), 93–114.
dc.relationShafi’i, M., & Ismail, N. W. (2015b). The innovation and productivity nexus in Malaysian manufacturing firms. International Journal of Economics and Business Research, 10(4), 362–374.
dc.relationShumon, R. H., Arif-Uz-Zaman, K., & Rahman, A. (2012). Productivity improvement through balancing process using multi-skilled manpower in apparel industries. International Journal of Industrial and Systems Engineering, 11(1/2), 31–47.
dc.relationSilva, A., Afonso, O., & Africano, A. P. (2012). Which manufacturing firms learn by exporting? The Journal of International Trade & Economic Development, 21(6), 773–805.
dc.relationSingh, H. (2008). Human factor and organizational productivity in textile industry and agricultural machinery industry in north India. PANJAB UNIVERSITY.
dc.relationSmith, A. (1776). The wealth of nations. (Alianza editorial, Ed.). na.
dc.relationSumanth, D. (1996). Ingeniería y administración de la productividad. (McGraw- Hill, Ed.). México: McGraw-Hill.
dc.relationSumanth, D. J. (1984). Productivity engineering and management: Productivity measurement, evaluation, planning, and improvement in manufacturing and service organizations. McGraw-Hill College.
dc.relationSutermeister, R. A. (1969). People and productivity. McGraw- Hill, Ed. 2. Universidad de Wisconsin – Madison.
dc.relationSyverson, C. (2010). What Determines Productivity? Journal of Economic Literature, 49(2), 326–365. Retrieved from http://www.nber.org/papers/w15712
dc.relationTello, M. D. (2015). Firms’ Innovation, Public Financial Support, and Total Factor Productivity: The Case of Manufactures in Peru. Review of Development Economics, 19(2), 358–374.
dc.relationTsehayae, A. A., & Fayek, A. R. (2016). System model for analysing construction labour productivity. Construction Innovation, 16(2), 203–228.
dc.relationUribe, R. (2011). Costos de la Mano de Obra en Colombia. Medellín. Retrieved from https://www.google.com.co/?gfe_rd=cr&ei=CBHuU6CuHMnB8gfp74DIAw&gw s_rd=ssl#q=Uribe+%2C+R.+(2011)+Costos+de+la+Mano+de+Obra+en+Colo mbia.+En:+Universidad+Eafit.+
dc.relationViveros, P., Stegmaier, R., Kristjanpoller, F., Barbera, L., & Crespo, A. (2013). Propuesta de un modelo de gestión de mantenimiento y sus principales herramientas de apoyo. Ingeniare. Revista Chilena de Ingeniería, 21(1), 125–138. http://doi.org/10.4067/S0718-33052013000100011
dc.relationVogel, J. (2015). The two faces of R&D and human capital: Evidence from Western European regions. Papers in Regional Science, 94(3), 525–551.
dc.relationWorld Economic Forum. (2012). The Global Competitiveness Report 2012–2013. (S. Klaus, Ed.). Geneva: Klaus Schwab.
dc.relationXia, R., Liang, T., Zhang, Y., & Wu, S. (2012). Is global competitive index a good standard to measure economic growth? A suggestion for improvement. International Journal of Services and Standards, 8(1), 45. http://doi.org/10.1504/IJSS.2012.048438
dc.relationYang, T.-M., & Su, C.-T. (2012). Using a Systematic Organization Change Approach to Improve Productivity and Application with a Case Study on Semiconductor Manufacturing Company. 品質學報, 19(1), 39–58.
dc.relationYunus, N. M., Said, R., & Law, S. H. (2014). Do cost of traning, education level and R&D investment matter towards influencing labour productivity? Jurnal Ekonomi Malaysia, 48(1), 133–142.
dc.relationZahraee, S. M., Chegeni, A., & Rohani, J. M. (2015). Characterization of manufacturing system computer simulation using taguchi method. Jurnal Teknologi, 72(4), 77–82.
dc.relationZávadský, J., Hitka, M., & Potkány, M. (2015). Changes of employee motivation of slovak enterprises due to global economic crisis. Economics and Management, 1(XVIII), 57–66.
dc.rightsAtribución-NoComercial 4.0 Internacional
dc.rightsAcceso abierto
dc.rightshttp://creativecommons.org/licenses/by-nc/4.0/
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rightsDerechos reservados - Universidad Nacional de Colombia
dc.titleDiseño de un modelo de gestión de productividad laboral en las organizaciones manufactureras de Medellín.
dc.typeDocumentos de trabajo


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