Análisis de redes para la transferencia de tecnologías sostenibles entre firmas de construcción internacional.

La transferencia de tecnología sostenible es compleja para las firmas de construcción. Una posible solución es analizar esa clase de transferencia como una red social ya que, si se identifican las diferentes relaciones entre los actores del sector construcción, es posible evaluar la capacidad de ada...

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Autores:: Cubillos-González, Rolando Arturo
Cubillos-González, Rolando Arturo

Tipo de recurso:: Article of journal

Fecha de publicación:: 2020

Institución:: Universidad Católica de Colombia

Repositorio:: RIUCaC - Repositorio U. Católica

Idioma:: spa

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dc.title.spa.fl_str_mv	Análisis de redes para la transferencia de tecnologías sostenibles entre firmas de construcción internacional.
dc.title.translated.eng.fl_str_mv	Network analysis of green technology transfer between international construction firms.
title	Análisis de redes para la transferencia de tecnologías sostenibles entre firmas de construcción internacional.
spellingShingle	Análisis de redes para la transferencia de tecnologías sostenibles entre firmas de construcción internacional. Technology adaptation Green buildings Construction industry Construction field Technology transfer Affordable housing Social housing Adaptación tecnológica Edificaciones sostenibles Industria de la construcción Sector de la construcción Transferencia tecnología Vivienda accesible Vivienda social Análisis de redes Sostenibilidad
title_short	Análisis de redes para la transferencia de tecnologías sostenibles entre firmas de construcción internacional.
title_full	Análisis de redes para la transferencia de tecnologías sostenibles entre firmas de construcción internacional.
title_fullStr	Análisis de redes para la transferencia de tecnologías sostenibles entre firmas de construcción internacional.
title_full_unstemmed	Análisis de redes para la transferencia de tecnologías sostenibles entre firmas de construcción internacional.
title_sort	Análisis de redes para la transferencia de tecnologías sostenibles entre firmas de construcción internacional.
dc.creator.fl_str_mv	Cubillos-González, Rolando Arturo Cubillos-González, Rolando Arturo
dc.contributor.author.spa.fl_str_mv	Cubillos-González, Rolando Arturo
dc.contributor.author.none.fl_str_mv	Cubillos-González, Rolando Arturo
dc.subject.eng.fl_str_mv	Technology adaptation Green buildings Construction industry Construction field Technology transfer Affordable housing Social housing
topic	Technology adaptation Green buildings Construction industry Construction field Technology transfer Affordable housing Social housing Adaptación tecnológica Edificaciones sostenibles Industria de la construcción Sector de la construcción Transferencia tecnología Vivienda accesible Vivienda social Análisis de redes Sostenibilidad
dc.subject.spa.fl_str_mv	Adaptación tecnológica Edificaciones sostenibles Industria de la construcción Sector de la construcción Transferencia tecnología Vivienda accesible Vivienda social Análisis de redes Sostenibilidad
description	La transferencia de tecnología sostenible es compleja para las firmas de construcción. Una posible solución es analizar esa clase de transferencia como una red social ya que, si se identifican las diferentes relaciones entre los actores del sector construcción, es posible evaluar la capacidad de adaptación tecnológica de dichos actores. El objetivo fue evaluar la transferencia de tecnología sostenible entre empresas constructoras internacionales que se dedican a construir vivienda social o accesible. Para esto, se identificaron dos países con capacidad de transferencia de tecnología sostenible (Reino Unido y Estados Unidos) y dos países de menor capacidad tecnológica y con potencial de adaptarse a dichas tecnologías (Brasil y Colombia); posteriormente, se seleccionaron cinco firmas constructoras por cada país, con las cuales se hizo un análisis de redes (grado, intensidad, cercanía y densidad), y luego, procesos de simulación. Como resultado se identificó la capacidad de transferencia tecnológica que tienen las empresas latinoamericanas para aceptar y adaptar tecnologías de empresas de países industrializados, y se espera poder desarrollar indicadores de medición del proceso de transferencia tecnológica que permitan comprender mejor la complejidad de este proceso en el área de la vivienda social.
publishDate	2020
dc.date.accessioned.none.fl_str_mv	2020-01-01 00:00:00 2023-01-23T16:06:01Z
dc.date.available.none.fl_str_mv	2020-01-01 00:00:00 2023-01-23T16:06:01Z
dc.date.issued.none.fl_str_mv	2020-01-01
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dc.relation.references.spa.fl_str_mv	Abbasian-Hosseini, S. A., Liu, M., & Hsiang, S. M. (2015). Social network analysis for construction specialty trade interference and work plan reliability. Proceedings of IGLC 23 - 23rd Annual Conference of the International Group for Lean Construction: Global Knowledge - Global Solutions, 2015-January (919), 143–152. Recuperado de http://iglc.net/Papers/Details/1223 Alarcón, D. M., Alarcón, I. M., & Alarcón, L. F. (2013). Social network analysis: A diagnostic tool for information flow in the AEC industry. 21st Annual Conference of the International Group for Lean Construction 2013, IGLC 2013, 196–205. Recuperado de http://iglc.net/Papers/Details/864 Alsema, E. A., Anink, D., Meijer, A., Straub, A., & Donze, G. (2016). Integration of Energy and Material Performance of Buildings: I=E+M. Energy Procedia, 96(October), 517–528. Doi: https://doi.org/10.1016/j.egypro.2016.09.094 Asadi, E., Silva, M. G. Da, Antunes, C. H., Dias, L., & Glicksman, L. (2014). Multi-objective optimization for building retrofit: A model using genetic algorithm and artificial neural network and an application. Energy and Buildings, 81, 444–456. Doi: https://doi.org/10.1016/j.enbuild.2014.06.009 Borgatti, S.P., Everett, M.G., & Johnson, J.C. (2013). Analyzing Social Networks. Sage Publications. Carlucci, S., Lobaccaro, G., Li, Y., Catto Lucchino, E., & Ramaci, R. (2016). The effect of spatial and temporal randomness of stochastically generated occupancy schedules on the energy performance of a multiresidential building. Energy and Buildings, 127, 279–300. Doi: https://doi.org/10.1016/j.enbuild.2016.05.023 Castillo, T., Alarcón, L. F., & Pellicer, E. (2018). Influence of Organizational Characteristics on Construction Project Performance Using Corporate Social Networks. Journal of Management in Engineering, 34(4). Doi: https://doi.org/10.1061/(ASCE)ME.1943-5479.0000612 Gelesz, A., & Reith, A. (2015). Climate-based performance evaluation of double skin facades by building energy modelling in Central Europe. Energy Procedia, 78, 555–560. Doi: https://doi.org/10.1016/j.egypro.2015.11.735 Huang, I. B., Keisler, J., & Linkov, I. (2011). Multi-criteria decision analysis in environmental sciences: Ten years of applications and trends. Science of the Total Environment, 409(19), 3578–3594. Doi: https://doi.org/10.1016/j.scitotenv.2011.06.022 Kim, M. J., Oh, M. W., & Kim, J. T. (2013). A method for evaluating the performance of green buildings with a focus on user experience. Energy and Buildings, 66, 203–210. Doi: https://doi.org/10.1016/j.enbuild.2013.07.049 Kontu, K., Rinne, S., Olkkonen, V., Lahdelma, R., & Salminen, P. (2015). Multicriteria evaluation of heating choices for a new sustainable residential area. Energy and Buildings, 93(x), 169–179. Doi: https://doi.org/10.1016/j.enbuild.2015.02.003 Liu, Y., Guo, X., & Hu, F. (2014). Cost-benefit analysis on green building energy efficiency technology application: A case in China. Energy and Buildings, 82, 37–46. Doi: https://doi.org/10.1016/j.enbuild.2014.07.008 Lopes, R. A., Chambel, A., Neves, J., Aelenei, D., & Martins, J. (2016). A Literature Review of Methodologies Used to Assess the Energy Flexibility of Buildings. Energy Procedia, 91, 1053–1058. Doi: https://doi.org/10.1016/j.egypro.2016.06.274 Ma, H., Zhou, W., Lu, X., Ding, Z., & Cao, Y. (2016). Application of Low Cost Active and Passive Energy Saving Technologies in an Ultra-low Energy Consumption Building. Energy Procedia, 88, 807–813. Doi: https://doi.org/10.1016/j.egypro.2016.06.132 Marques, S. B., Bissoli-Dalvi, M., & Alvarez, C. E. de. (2018). Políticas públicas em prol da sustentabilidade na construção civil em municípios brasileiros. urbe. Revista Brasileira de Gestão Urbana, 10(Suppl. 1), 186-196. Epub July 30, 2018. Doi: https://dx.doi.org/10.1590/2175-3369.010.supl1.ao10 McKinsey Global Institute. (2017). Reinventing Construction: A Route to Higher Productivity. McKinsey & Company, (February), 20. Doi: https://doi.org/10.1080/19320248.2010.527275 Moschetti, R., & Brattebø, H. (2016). Sustainable business models for deep energy retrofitting of buildings: state-of-the-art and methodological approach. Energy Procedia, 96(1876), 435–445. Doi: https://doi.org/10.1016/j.egypro.2016.09.174 Niknam, M., & Karshenas, S. (2015). Sustainable Design of Buildings using Semantic BIM and Semantic Web Services. Procedia Engineering, 118, 909–917. Doi: https://doi.org/10.1016/j.proeng.2015.08.530 Panchal, S., Dincer, I., & Agelin-Chaab, M. (2016). Analysis and evaluation of a new renewable energy based integrated system for residential applications. Energy and Buildings, 128, 900–910. https://doi.org/10.1016/j.enbuild.2016.07.038 Park, H., & Han, S. H. (2012). Impact of inter-firm collaboration networks in international construction projects: A longitudinal study. In Construction Research Congress 2012: Construction Challenges in a Flat World (pp. 1460–1470). Construction Management and Information Laboratory, Dept. of Civil and Environmental Engineering, Yonsei University, Seoul, South Korea. Doi: https://doi.org/10.1061/9780784412329.147 Pisello, A. L., Castaldo, V. L., Taylor, J. E., & Cotana, F. (2016). The impact of natural ventilation on building energy requirement at inter-building scale. Energy and Buildings, 127, 870–883. Doi: https://doi.org/10.1016/j.enbuild.2016.06.023 Salcido, J. C., Abdul, A., & Issa, R. R. A. (2016). From simulation to monitoring: Evaluating the potential of mixed-mode ventilation (MMV) systems for integrating natural ventilation in office buildings through a comprehensive literature review. Energy & Buildings, 127, 1008–1018. Doi: https://doi.org/10.1016/j.enbuild.2016.06.054 Sartori, I., Napolitano, A., & Voss, K. (2012). Net zero energy buildings: A consistent definition framework. Energy and Buildings, 48, 220–232. Doi: https://doi.org/10.1016/j.enbuild.2012.01.032 Zabalza Bribián, I., Valero Capilla, A., & Aranda Usón, A. (2011). Life cycle assessment of building materials: Comparative analysis of energy and environmental impacts and evaluation of the eco-efficiency improvement potential. Building and Environment, 46(5), 1133–1140. Doi: https://doi.org/10.1016/j.buildenv.2010.12.002 Zucker, G., Judex, F., Blöchle, M., Köstl, M., Widl, E., Hauer, S., … Zeilinger, J. (2016). A new method for optimizing operation of large neighborhoods of buildings using thermal simulation. Energy and Buildings, 125, 153–160. Doi: https://doi.org/10.1016/j.enbuild.2016.04.081
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spelling	Cubillos-González, Rolando Arturo2ccaa9a7-26bd-43cf-a5bc-f0c3fc8a89ee300Cubillos-González, Rolando Arturovirtual::461-12020-01-01 00:00:002023-01-23T16:06:01Z2020-01-01 00:00:002023-01-23T16:06:01Z2020-01-01La transferencia de tecnología sostenible es compleja para las firmas de construcción. Una posible solución es analizar esa clase de transferencia como una red social ya que, si se identifican las diferentes relaciones entre los actores del sector construcción, es posible evaluar la capacidad de adaptación tecnológica de dichos actores. El objetivo fue evaluar la transferencia de tecnología sostenible entre empresas constructoras internacionales que se dedican a construir vivienda social o accesible. Para esto, se identificaron dos países con capacidad de transferencia de tecnología sostenible (Reino Unido y Estados Unidos) y dos países de menor capacidad tecnológica y con potencial de adaptarse a dichas tecnologías (Brasil y Colombia); posteriormente, se seleccionaron cinco firmas constructoras por cada país, con las cuales se hizo un análisis de redes (grado, intensidad, cercanía y densidad), y luego, procesos de simulación. Como resultado se identificó la capacidad de transferencia tecnológica que tienen las empresas latinoamericanas para aceptar y adaptar tecnologías de empresas de países industrializados, y se espera poder desarrollar indicadores de medición del proceso de transferencia tecnológica que permitan comprender mejor la complejidad de este proceso en el área de la vivienda social.The green technology transfer is complex for construction firms. A solution is to analyze it as a social network since, if I identify the different relationships between the actors in the construction sector, it is possible to test the technology adaptation capacity of these actors. The aim was to test the transfer of green technology between international construction companies that dedicated to building social or accessible housing. For this, two countries with the capacity to transfer green technology (United Kingdom and the United States) and two countries with less technology capacity and with the potential to adapt to these technologies (Brazil and Colombia) identified, then 5 construction firms selected for each country with which an analysis of networks (degree, intensity, proximity, and density) and then simulation carried out. As a result, the technology transfer capacity of Latin America companies to accept and adapt technologies from companies in industrialized countries identified, and it hoped to develop indicators of measurement of the technology transfer that allows a better understanding of the complexity of Social Housing.text/htmltext/htmlapplication/pdfapplication/pdftext/xml10.14718/RevArq.2020.25622357-626X1657-0308https://hdl.handle.net/10983/28875https://doi.org/10.14718/RevArq.2020.2562spaUniversidad Católica de Colombiahttps://revistadearquitectura.ucatolica.edu.co/article/download/2562/2992https://revistadearquitectura.ucatolica.edu.co/article/download/2562/3159https://revistadearquitectura.ucatolica.edu.co/article/download/2562/3297https://revistadearquitectura.ucatolica.edu.co/article/download/2562/3316https://revistadearquitectura.ucatolica.edu.co/article/download/2562/3701Núm. 1 , Año 2020 : Enero - junio188117522Revista de Arquitectura (Bogotá)Abbasian-Hosseini, S. A., Liu, M., & Hsiang, S. M. (2015). Social network analysis for construction specialty trade interference and work plan reliability. Proceedings of IGLC 23 - 23rd Annual Conference of the International Group for Lean Construction: Global Knowledge - Global Solutions, 2015-January (919), 143–152. Recuperado de http://iglc.net/Papers/Details/1223Alarcón, D. M., Alarcón, I. M., & Alarcón, L. F. (2013). Social network analysis: A diagnostic tool for information flow in the AEC industry. 21st Annual Conference of the International Group for Lean Construction 2013, IGLC 2013, 196–205. Recuperado de http://iglc.net/Papers/Details/864Alsema, E. A., Anink, D., Meijer, A., Straub, A., & Donze, G. (2016). Integration of Energy and Material Performance of Buildings: I=E+M. Energy Procedia, 96(October), 517–528. Doi: https://doi.org/10.1016/j.egypro.2016.09.094Asadi, E., Silva, M. G. Da, Antunes, C. H., Dias, L., & Glicksman, L. (2014). Multi-objective optimization for building retrofit: A model using genetic algorithm and artificial neural network and an application. Energy and Buildings, 81, 444–456. Doi: https://doi.org/10.1016/j.enbuild.2014.06.009Borgatti, S.P., Everett, M.G., & Johnson, J.C. (2013). Analyzing Social Networks. Sage Publications.Carlucci, S., Lobaccaro, G., Li, Y., Catto Lucchino, E., & Ramaci, R. (2016). The effect of spatial and temporal randomness of stochastically generated occupancy schedules on the energy performance of a multiresidential building. Energy and Buildings, 127, 279–300. Doi: https://doi.org/10.1016/j.enbuild.2016.05.023Castillo, T., Alarcón, L. F., & Pellicer, E. (2018). Influence of Organizational Characteristics on Construction Project Performance Using Corporate Social Networks. Journal of Management in Engineering, 34(4). Doi: https://doi.org/10.1061/(ASCE)ME.1943-5479.0000612Gelesz, A., & Reith, A. (2015). Climate-based performance evaluation of double skin facades by building energy modelling in Central Europe. Energy Procedia, 78, 555–560. Doi: https://doi.org/10.1016/j.egypro.2015.11.735Huang, I. B., Keisler, J., & Linkov, I. (2011). Multi-criteria decision analysis in environmental sciences: Ten years of applications and trends. Science of the Total Environment, 409(19), 3578–3594. Doi: https://doi.org/10.1016/j.scitotenv.2011.06.022Kim, M. J., Oh, M. W., & Kim, J. T. (2013). A method for evaluating the performance of green buildings with a focus on user experience. Energy and Buildings, 66, 203–210. Doi: https://doi.org/10.1016/j.enbuild.2013.07.049Kontu, K., Rinne, S., Olkkonen, V., Lahdelma, R., & Salminen, P. (2015). Multicriteria evaluation of heating choices for a new sustainable residential area. Energy and Buildings, 93(x), 169–179. Doi: https://doi.org/10.1016/j.enbuild.2015.02.003Liu, Y., Guo, X., & Hu, F. (2014). Cost-benefit analysis on green building energy efficiency technology application: A case in China. Energy and Buildings, 82, 37–46. Doi: https://doi.org/10.1016/j.enbuild.2014.07.008Lopes, R. A., Chambel, A., Neves, J., Aelenei, D., & Martins, J. (2016). A Literature Review of Methodologies Used to Assess the Energy Flexibility of Buildings. Energy Procedia, 91, 1053–1058. Doi: https://doi.org/10.1016/j.egypro.2016.06.274Ma, H., Zhou, W., Lu, X., Ding, Z., & Cao, Y. (2016). Application of Low Cost Active and Passive Energy Saving Technologies in an Ultra-low Energy Consumption Building. Energy Procedia, 88, 807–813. Doi: https://doi.org/10.1016/j.egypro.2016.06.132Marques, S. B., Bissoli-Dalvi, M., & Alvarez, C. E. de. (2018). Políticas públicas em prol da sustentabilidade na construção civil em municípios brasileiros. urbe. Revista Brasileira de Gestão Urbana, 10(Suppl. 1), 186-196. Epub July 30, 2018. Doi: https://dx.doi.org/10.1590/2175-3369.010.supl1.ao10McKinsey Global Institute. (2017). Reinventing Construction: A Route to Higher Productivity. McKinsey & Company, (February), 20. Doi: https://doi.org/10.1080/19320248.2010.527275Moschetti, R., & Brattebø, H. (2016). Sustainable business models for deep energy retrofitting of buildings: state-of-the-art and methodological approach. Energy Procedia, 96(1876), 435–445. Doi: https://doi.org/10.1016/j.egypro.2016.09.174Niknam, M., & Karshenas, S. (2015). Sustainable Design of Buildings using Semantic BIM and Semantic Web Services. Procedia Engineering, 118, 909–917. Doi: https://doi.org/10.1016/j.proeng.2015.08.530Panchal, S., Dincer, I., & Agelin-Chaab, M. (2016). Analysis and evaluation of a new renewable energy based integrated system for residential applications. Energy and Buildings, 128, 900–910. https://doi.org/10.1016/j.enbuild.2016.07.038Park, H., & Han, S. H. (2012). Impact of inter-firm collaboration networks in international construction projects: A longitudinal study. In Construction Research Congress 2012: Construction Challenges in a Flat World (pp. 1460–1470). Construction Management and Information Laboratory, Dept. of Civil and Environmental Engineering, Yonsei University, Seoul, South Korea. Doi: https://doi.org/10.1061/9780784412329.147Pisello, A. L., Castaldo, V. L., Taylor, J. E., & Cotana, F. (2016). The impact of natural ventilation on building energy requirement at inter-building scale. Energy and Buildings, 127, 870–883. Doi: https://doi.org/10.1016/j.enbuild.2016.06.023Salcido, J. C., Abdul, A., & Issa, R. R. A. (2016). From simulation to monitoring: Evaluating the potential of mixed-mode ventilation (MMV) systems for integrating natural ventilation in office buildings through a comprehensive literature review. Energy & Buildings, 127, 1008–1018. Doi: https://doi.org/10.1016/j.enbuild.2016.06.054Sartori, I., Napolitano, A., & Voss, K. (2012). Net zero energy buildings: A consistent definition framework. Energy and Buildings, 48, 220–232. Doi: https://doi.org/10.1016/j.enbuild.2012.01.032Zabalza Bribián, I., Valero Capilla, A., & Aranda Usón, A. (2011). Life cycle assessment of building materials: Comparative analysis of energy and environmental impacts and evaluation of the eco-efficiency improvement potential. Building and Environment, 46(5), 1133–1140. Doi: https://doi.org/10.1016/j.buildenv.2010.12.002Zucker, G., Judex, F., Blöchle, M., Köstl, M., Widl, E., Hauer, S., … Zeilinger, J. (2016). A new method for optimizing operation of large neighborhoods of buildings using thermal simulation. Energy and Buildings, 125, 153–160. Doi: https://doi.org/10.1016/j.enbuild.2016.04.081Rolando Arturo Cubillos-González - 2019info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2https://creativecommons.org/licenses/by-nc-sa/4.0/https://revistadearquitectura.ucatolica.edu.co/article/view/2562Technology adaptationGreen buildingsConstruction industryConstruction fieldTechnology transferAffordable housingSocial housingAdaptación tecnológicaEdificaciones sosteniblesIndustria de la construcciónSector de la construcciónTransferencia tecnologíaVivienda accesibleVivienda socialAnálisis de redesSostenibilidadAnálisis de redes para la transferencia de tecnologías sostenibles entre firmas de construcción internacional.Network analysis of green technology transfer between international construction firms.Artículo de revistahttp://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_2df8fbb1http://purl.org/coar/version/c_970fb48d4fbd8a85Textinfo:eu-repo/semantics/articleJournal articlehttp://purl.org/redcol/resource_type/ARTREFinfo:eu-repo/semantics/publishedVersionPublicationhttps://ucatolica.academia.edu/RolandoCubillosvirtual::461-1https://scienti.minciencias.gov.co/cvlac/visualizador/generarCurriculoCv.do?cod_rh=0001361734virtual::461-1https://scholar.google.es/citations?user=77ye_gwAAAAJ&hl=esvirtual::461-10000-0002-9019-961Xvirtual::461-1https://www.researchgate.net/profile/Rolando-Cubillos-Gonzalezvirtual::461-160d719e7-d44e-4092-9d06-8fa14d49a739virtual::461-160d719e7-d44e-4092-9d06-8fa14d49a739virtual::461-1OREORE.xmltext/xml3199https://repository.ucatolica.edu.co/bitstreams/bfab3677-e762-4f26-b3f2-df74ebea7da5/download3ea3507ef6b7e80b34b16f5cf083da9eMD5110983/28875oai:repository.ucatolica.edu.co:10983/288752023-06-26 19:33:28.815https://creativecommons.org/licenses/by-nc-sa/4.0/Rolando Arturo Cubillos-González - 2019https://repository.ucatolica.edu.coRepositorio Institucional Universidad Católica de Colombia - RIUCaCbdigital@metabiblioteca.com

Análisis de redes para la transferencia de tecnologías sostenibles entre firmas de construcción internacional.

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