The Logistics Performance Index, Industry 4.0 and Maturity of Global Value Networks : A Multicriteria Analysis in the Colombian Context

Capítulo 1.

Aguaron, J., y Moreno Jimenez, J. (2003). The geometric consistency index: Aproximated thesholds. European Journalof Operations Research, 147(1), 137-145.

Analdex. (2019). Anadex.org. Obtenido de Analdex: https://www.analdex.org/wp-content/uploads/1992/11/2018-08-06-ndice-de-desempeo-logstico-WorldBank.pdf

ANDI. (2018). ANDI. Obtenido de Encuesta Nacional Logística: http://www.andi.com.co/Uploads/Encuesta%20Nacional%20Log%C3%ADstica%202018.pdf

ANI. (2017). http://conferencias.cepal.org/. Obtenido de Gobernanza del transporte: http://conferencias.cepal.org/gobernanza_transporte/Lunes%2030/Pdf/Andr%-C3%A9s%20Figueredo.pdf

ANIF. (7 de 09 de 2018). ANIF. Obtenido de Septiembre 17 Logística del Transporte en Colombia: Índice del Banco Mundial (LPI): https://www.anif.com.co/comentario-economico-del-dia/logistica-del-transporte-en-colombia-indice-del-banco-mundial-lpi

Arvis, J., Saslavsky, D., Ojala, L., Shepherd, B., Busch, C., Raj, A., y Naula, T. (2016). Connecting to compete: Trade Logistics in the Global Economy. Washington D.C.: Word Bank.

Awad-Núñez, S., González-Cancelas, N., Soler-Flores, S., y Camarero-Orive, A.(2016). A Methodology For Measuring Sustainability Of Dry Ports Location Based OnBayesian Networks And Multi-Criteria Decision Analysis. Transportation Research Procedia, 13, 124-133.

Ayyub, B. M. (2010). Methods of Expert-Opinion. Elicitation of Probabilities and Consecuences for Corps Facilities.Ballou, R. H. (2004). Logística. Administración de la cadena de Suministro (Quintaed.). Mexico D.F.: Pearson. Recuperado el 12 de Junio de 2019

Ballou, R. H. (2006). The evolution and future of logistics and supply chain management. Produção, 16(3), 375-386. Recuperado el 8 de Junio de 2019, de http://www. scielo.br/scielo.php?script=sci_arttextypid=S0103-65132006000300002

Banco Mundial. (2019). Connecting to Compete 2018. Washington D.C. USA: BancoMundial.

Banco Mundial. (2017). Connecting to Compete 2016. Washington D.C.: Banco Mundial.

Banco Mundial. (2020). Bancomundial.org. Obtenido de Who we are: https://www.bancomundial.org/es/who-we-are

Banco Mundial. (2020). Doing Bussiness. Obtenido de Informes Globales: https://www.doingbusiness.org/en/reports/global-reports/doing-business-2020

Banco Mundial. (2020). Doing Bussiness. Obtenido de CHAPTER 6 Ease of doingbusiness score and ease of doing business ranking: https://openknowledge.worldbank.org/bitstream/handle/10986/32436/9781464814402_Ch06.pdf

Banco Mundial. (2020). Doing Bussiness. Obtenido de Comercio Transfronterizo:https://espanol.doingbusiness.org/es/methodology/trading-across-borders

Barba-Romero, S., y Pomerol, J. (1997). Decisiones Multicriterio. Fundamentos Teòricos y Utilización Práctica. Alcalá: Servicio de Publicaciones Universidad de Alcalá.

Belton, V., y Stewart, T. (2002). Multiple Criteria Decision Analysis. An Integrated Approach. Kluwer Academic Publisher.

Bond, S., Carlson, K., y Keeney, R. (2010). Improving the Generation of DecisionObjetives. Decision Analysis, 7(3), 238-255.

Borsodi, R. (1927). The Distribution Age, a study of the economy of moderm distribution. New York: D. Appleton and Company. Recuperado el 9 de Junio de 2019, dehttps://soilandhealth.org/wp-content/uploads/0303critic/030308borsodi.dist.age/030308toc.htm

Boutkhoum, O., Hanine, M., Tikniouine, A., y Agouti, T. (2015). Multi-Criteria Decisional Approach Of The Olap Analysis By Fuzzy Logic: Green Logistics As A Case Study. Arabian Journal For Science And Engineering, 40(8), 2345-2359.

Bowersox, D. J. (Enero de 1969). Physical Distribution Development, Current Status, and potential. Journal of Marketing, 63-70. Recuperado el 8 de Junio de 2019, de http://eds.b.ebscohost.com.bibliotecavirtual.unad.edu.co/eds/pdfviewer/pdfviewer?vid=2ysid=34a405a8-71e2-41f3-aa57-722ce063f309%40pdc-v-sessmgr01

Bowersox, D. J., Closs, D. J., y Cooper, B. (2007). Administración y logística en la cadena de suministros (Segunda ed.). Mexico D.F.: McGRAW-HILL/INTERAMERICANA EDITORES, S.A.

Buendía Rice, E. A. (2013). El papel de la Ventaja Competitiva en el desarrollo económico de los países. Análisis Económico, 28(69), 55-78. Recuperado el 6 de 9 de 2020, de https://www.redalyc.org/pdf/413/41331033004.pdf

Cabuya Padilla, B. (2016). MODELO DE PREDICCIÓN Modelo de predicción del LPI con indicadores externos usando el método PCA. caso estudio Colombia. Valencia, España: UNiversidad Politécnica de Valencia.

CEPAL. (2006). Fernando Fajnzylber – Una visión renovadora del desarrollo de América Latina. Santiago de Chile: CEPAL. Obtenido de https://repositorio.cepal.org/bitstream/handle/11362/2458/S0600410.pdf?sequence=1

Cho, D.-s., y Moon, H.-c. (2013). From Adam Smith To Michael Porter: Evolution Of Competitiveness Theory (Extended Edition). Singapore: World Scientific. Recuperado el 6 de 9 de 2020, de https://search-ebscohost-com.bibliotecavirtual.unad.edu.co/ login.aspx?direct=trueydb=nlebkyAN=564502ylang=esysite=ehost-live

CIVITAS. (2014). Innovative Urban Transport Solutions. Bruselas: CIVITAS. Obtenidode https://civitas.eu/sites/default/files/civitas-plus-innovative-urban-transport-solutions-www-final.pdf

Colombia Competitiva. (2020). Avances en el IGC 2020. Recuperado el 12 de 9 de 2020, de ¿Qué es y cómo se mide el Índice Global de Competitividad?: http://www. colombiacompetitiva.gov.co/snci/indicadores-internacionales/indice-competitividad-global

Compite. (2020). Informe Nacional de Competitividad 2019-2020. Bogotá D.C.: Compite.

CSCMP. (3 de Junio de 2019). Council of Supluy Chain Management Professionals.Recuperado el 3 de Junio de 2019, de CSCMP Supply Chain Management Definitionsand Glossary: https://cscmp.org/CSCMP/Educate/SCM_Definitions_and_Glossary_of_Terms/CSCMP/Educate/SCM_Definitions_and_Glossary_of_Terms.aspx?hkey=60879588-f65f-4ab5-8c4b-6878815ef921de Gooyert, V., Rouwettea, E., van Kranenburga, H., y Freemanb, E. (2017). Reviewing the role of stakeholders in Operational Research: A stakeholder theory perspective. European Journal of Operational Research, 262, 402-410.de Souza, V., Bloemhof-Ruwaard, J., y Borsanto, M. (2019). Towards RegenerativeSupply Networks: A design framework proposal. Journal of Cleaner Production, 221,145-156.de Souza, V., Melare, A., Montenegro Gonzalez, S., Faceli, K., y Casadei, V. (2017).Technologies and decision support systems to aid solid-waste management: a systematic review. Waste Management, 59, 567-584.

Deloitte. (2019). Deloitte. Obtenido de Deloitte-Reporte-Global-Competitividad: https://www2.deloitte.com/content/dam/Deloitte/gt/Documents/finance/191009-Deloitte-Reporte-Global-Competitividad.pdf

D’Eusanio, M., Zamagni, A., y Petti, L. (2019). Social sustainability and supply chainmanagement: Methods and tools. Journal of Cleaner Production, 235, 178-189.

Erener, A., Mutlu, A., y Sebnem Düzgün, H. (2016). A Comparative Study for Landslide Susceptibility Mapping Using Gis-Based Multi-Criteria Decision Analysis (Mcda),Logistic Regression (Lr) And Association Rule Mining (Arm). Engineering Geology, 203,45-55

Eskandarpour, M., Dejax, P., Miemczyk, J., y Péton, O. (2015). Sustainable supply chain network design: An optimization-oriented review. Omega, 54, 11-32.

Estrada mejía, S., Restrepo de Ocampo, l. s., y Silva, B. (2010). Análisis De Los Costos Logísticos En La Administración De La Cadena De Suministro. Scientia Et Technica, 272-277. Obtenido de https://www.redalyc.org/pdf/849/84917249050.pdf

Fahimniaa, B., Tang, Davarzani, H., y Sarkis, J. (2015). Quantitative models for managing supply chain risks: A review. European Journal of Operational Research, 247, 1-15.

Figueroa Peinado, W, Vásquez Bernal, O.A, Pinzón Hoyos, B, Diaz Pulido, J.M y

Gomez Méndez, J.D (2021). Análisis Bibliométrico de la medición de la madurez de las redes globales de valor: un enfoque exploratorio. En: 19 th LACCEI International Multi-Conference for Engineering, Education, and Technology: “Prospective and trends in technology and skills for sustainable social development” “Leveraging emerging technologies to construct the future”, Buenos Aires -Argentina, July 21-23, 2021. http://dx.doi.org/10.18687/LACCEI2021.1.1.528

Foresight. (2019). New Technology and Automation in Freight Transport and Handling Systems. Londres: Foresight. Recuperado el 3 de 10 de 2020, de https://assets. publishing.service.gov.uk/government/uploads/system/uploads/attachment_data/ file/781295/automation_in_freight.pdf

Gbededoa, M., y Liyanagea, K. (2020). Descriptive framework for simulation-aided sustainability decision-making: A Delphi study. Sustainable Production and Consumption, 22, 45-57.

Ghiani, G., Laporte, G., y Musmanno, R. (2013). Introduction to Logistics Systems

Management. Chichester: John Wiley and Sons.

Guarnieri, P., Sobreiro, V. A., Nagano, M. S., y Marques Serrano, A. L. (2015). The

Challenge Of Selecting And Evaluating Third-Party Reverse Logistics Providers In A

Multicriteria Perspective: A Brazilian Case. Journal Of Cleaner Production, 96(4333),209-219.

Hasana, M., Jianga, D., Sharif, E.-A., Ullahb, A., y E-Alama, M. (2020). Resilient supplier selection in logistics 4.0 with heterogeneous information. Expert Systems With Applications, 139(112799)

He, J., Feng, C., Hu, D., y Liang, L. (2017). A Decision Model for Emergency Warehouse Location Based on A Novel Stochastic Mcda Method: Evidence from China. Mathematical Problems In Engineering, 2017(7804781).

Ho, W. (2008). Integrated Analytic Hierarchy Process and its Applications. A Literature Review. European Journal of Operational Research, 186(1), 211-228.

Kijewska, K., Torbacki, W., y Iwan, S. (2018). Application of Ahp And Dematel Methods In Choosing And Analysing The Measures For The Distribution Of Goods In Szczecin Region. Sustainability (Switzerland), 10(7).

Krugman, P. R., y Obstfeld, M. (2006). Economía Internacional, Teoría y política. Madrid: Pearson Educación, SA.

Laseter, T., y Oliver, K. (2003). When Will Supply Chain Management Grow Up? Recuperado el 1 de Junio de 2019, de Strategy+Bussiness: https://www.strategy-business. com/article/03304?pg=0

Liu, X. (2014). China-based logistics research: a review of the literature and implications. International Journal of Physical Distribution y Logistics Management, 44(5), 392-411. Obtenido de https:// doi.org/10.1108/IJPDLM-08-2012-0225

Lombana, J., y Rozas Gutierrez, S. (2009). Marco Analítico de la competitividad. Fundamentos para la Competitividad Regional. Revista Cientifica Pensamiento y Gestión, 1-18.

Longaray, A., Ensslin, L., Ensslin, S., Dutra, A., y Munhoz, P. (2018). Using Mcda ToEvaluate the Performance Of The Logistics Process In Public Hospitals: The Case Of ABrazilian Teaching Hospital. International Transactions in Operational Research, 25(1),133-156.

Macharis, C., y Bernardini, A. (2015). Reviewing the use of Multi-Criteria DecisionAnalysis for the evaluation of transport projects: Time for a multi-actor approach.Transport Policy, 37, 177-186.

Martí Selva, M., Puertas Medina, R., y Garcia, L. (2014). Importance of thelogisticsperformance index in international trade. Applied Economics, 46(24), 2982-2992. Recuperado el 3 de 10 de 2020, de https://www.tandfonline.com/doi/abs/10.1080/00036846.2014.916394

Rebula de Oliveira, U., Silva Marins, F., Martins Rocha, H., y Pamplona Salomon, V. A. (2017). The ISO 31000 standard in supply chain risk management. Journal of Cleaner Production, 151, 616-633.

Reeb, C. W., Venditti, R., González, R., y Kelley, S. (2016). Environmental Lca And Financial Analysis To Evaluate The Feasibility Of Bio-Based Sugar Feedstock Biomass Supply Globally: Part 2. Application Of Multi-Criteria Decision-Making Analysis As A

Method For Biomass Feedstock Comparisons. Bioresources, 11(3), 6062-6084. Rey, M. F. (2008). Encuesta Nacional Logística – Resultados del Benchmarking Logístico – Colombia 2008. Latin America Logistics Center (LALC). CAli Colombia: Latin America Logistics Center (LALC). Recuperado el 20 de 11 de 2020, de https://www.icesi.edu.co/blogs/logisticawww/files/2012/05/REPORTE-ENL-COLOMBIA.pdf

Rezaei, J., van Roekel, W., y Tavasszy, L. (2018). Measuring the relative importanceof the logistics performance index indicators using Best Worst Method. Transport Policy, 68, 158-169.

Saaty, T. (1980). The Analytic Hierarchy Process. New York: McGraw Hill.

Saaty, T. (2012). Decision Making for Leaders: The Analytical Hierarchy Processfor Decisions in a Complex Word. Pittsburgh: University of Pittsburgh.

Saaty, T., y Ergu, D. (2015). When in a Decision-Making Method Trustworthy? Criteria for Evaluating Multicriteria Decision-Making Methods. International Journal ofInformation Technology y Decision Making, 14(6), 1171.1187.

San Martin, D., Orive, M., Martínez, E., Vázquez, L., y Zufia, J. (2017). Decision Making

Supporting Tool Combining Ahp Method with Gis For Implementing Food Waste Valorization Strategies. Waste and Biomass Valorization, 8(5), 1555-1567.

Sawicka, H. (2020). The methodology of solving stochastic multiple criteria ranking problems applied in transportation. Transportation Research Procedia, 47, 219-226.

SCC. (2012). Scor, Supply Chain Operations, Revision 11.0. Recuperado el 11 de Junio de 2019, de https://docs.huihoo.com/scm/supply-chain-operations-reference-model-r11.0.pdf

WEF. (2019). A Platform for Impact. Ginebra Suiza: WEF. Obtenido de http://www3.weforum.org/docs/WEF_Institutional_Brochure_2019.pdf

WEF. (2019). The Global Competitiveness Report 2019. Ginebra Suiza: WEF.

WEF. (2020). World Economic Forum. Obtenido de Our Mission: https://es.weforum.org/about/world-economic-forum

Zak, J., y Galinska, B. (2018). Design and Evaluation of Global Freight Transportation Solutions (Corridors). Analysis of a Real-World Case Study. Transportation Research Procedia, 30, 350-362

Capítulo 2.

Aguaron, J., y Moreno Jimenez, J. (2003). The geometric consistency index: Aproximated thesholds. European Journalof Operations Research, 147(1), 137-145.

Analdex. (2019). Anadex.org. Obtenido de Analdex: https://www.analdex.org/ wp-content/uploads/1992/11/2018-08-06-ndice-de-desempeo-logstico-WorldBank.pdf

ANDI. (2018). ANDI. Obtenido de Encuesta Nacional Logística: http://www.andi.com.co/Uploads/Encuesta%20Nacional%20Log%C3%ADstica%202018.pdf

ANI. (2017). http://conferencias.cepal.org/. Obtenido de Gobernanza del transporte: http://conferencias.cepal.org/gobernanza_transporte/Lunes%2030/Pdf/Andr%-C3%A9s%20Figueredo.pdf

ANIF. (7 de 09 de 2018). ANIF. Obtenido de Septiembre 17 Logística del Transporte en Colombia: Índice del Banco Mundial (LPI): https://www.anif.com.co/comentario-economico-del-dia/logistica-del-transporte-en-colombia-indice-del-banco-mundial-lpi

Arvis, J., Saslavsky, D., Ojala, L., Shepherd, B., Busch, C., Raj, A., y Naula, T. (2016).Connecting to compete: Trade Logistics in the Global Economy. Washington D.C.: WordBank.

Ayyub, B. M. (2010). Methods of Expert-Opinion. Elicitation of Probabilities and Consecuences for Corps Facilities.

Ballou, R. H. (2004). Logística. Administración de la cadena de Suministro (Quinta ed.). Mexico D.F.: Pearson. Recuperado el 12 de Junio de 2019

Ballou, R. H. (2006). The evolution and future of logistics and supply chain management. Produção, 16(3), 375-386. Recuperado el 8 de Junio de 2019, de http://www. scielo.br/scielo.php?script=sci_arttextypid=S0103-65132006000300002

Banco Mundial . (2019). Connecting to Compete 2018. Washington D.C. USA: Banco Mundial.

Banco Mundial. (2017). Connecting to Compete 2016. Washington D.C.: Banco Mundial.

Banco Mundial. (2020). Bancomundial.org. Obtenido de Who we are: https://www.bancomundial.org/es/who-we-are

Banco Mundial. (2020). Doing Bussiness. Obtenido de Informes Globales: https://www.doingbusiness.org/en/reports/global-reports/doing-business-2020

Banco Mundial. (2020). Doing Bussiness. Obtenido de CHAPTER 6 Ease of doing business score and ease of doing business ranking: https://openknowledge.worldbank.org/bitstream/handle/10986/32436/9781464814402_Ch06.pdf

Barba-Romero, S., y Pomerol, J. (1997). Decisiones Multicriterio. Fundamentos Teòricos y Utilización Práctica. Alcalá: Servicio de Publicaciones Universidad de Alcalá.

Belton, V., y Stewart, T. (2002). Multiple Criteria Decision Analysis. An Integrated Approach. Kluwer Academic Publisher.

Bond, S., Carlson, K., y Keeney, R. (2010). Improving the Generation of Decision Objetives. Decision Analysis, 7(3), 238-255.

Borsodi, R. (1927). The Distribution Age, a study of the economy of moderm distribution. New York: D. Appleton and Company. Recuperado el 9 de Junio de 2019, de https://soilandhealth.org/wp-content/uploads/0303critic/030308borsodi.dist.age/ 030308toc.htm

Boutkhoum, O., Hanine, M., Tikniouine, A., y Agouti, T. (2015). Multi-Criteria Decisional Approach Of The Olap Analysis By Fuzzy Logic: Green Logistics As A Case Study. Arabian Journal For Science And Engineering, 40(8), 2345-2359.

Bowersox, D. J. (Enero de 1969). Physical Distribution Development, Current Status, and potential. Journal of Marketing, 63-70. Recuperado el 8 de Junio de 2019, de http://eds.b.ebscohost.com.bibliotecavirtual.unad.edu.co/eds/pdfviewer/pdfviewer?vid=2ysid=34a405a8-71e2-41f3-aa57-722ce063f309 %40pdc-v-sessmgr01

Bowersox, D. J., Closs, D. J., y Cooper, B. (2007). Administración y logística en la cadena de suministros (Segunda ed.). Mexico D.F.: McGRAW-HILL/INTERAMERICANAEDITORES, S.A.

Buendía Rice, E. A. (2013). El papel de la Ventaja Competitiva en el desarrollo económico de los países. Análisis Económico, 28(69), 55-78. Recuperado el 6 de 9 de 2020,de https://www.redalyc.org/pdf/413/41331033004.pdf

Cabuya Padilla, B. (2016). MODELO DE PREDICCIÓN Modelo de predicción del LPI conindicadores externos usando el método PCA. caso estudio Colombia. Valencia, España:UNiversidad Politécnica de Valencia.

CEPAL. (2006). Fernando Fajnzylber – Una visión renovadora del desarrollo de América Latina. Santiago de Chile: CEPAL. Obtenido de https://repositorio.cepal.org/bitstream/handle/11362/2458/S0600410.pdf?sequence=1

Cho, D.-s., y Moon, H.-c. (2013). From Adam Smith To Michael Porter: Evolution Of

Competitiveness Theory (Extended Edition). Singapore: World Scientific. Recuperadoel 6 de 9 de 2020, de https://search-ebscohost-com.bibliotecavirtual.unad.edu.co/login.aspx?direct=trueydb=nlebkyAN=564502ylang=esysite=ehost-live

CIVITAS. (2014). Innovative Urban Transport Solutions. Bruselas: CIVITAS. Obtenidode https://civitas.eu/sites/default/files/civitas-plus-innovative-urban-transport-solutions-www-final.pdf

Colombia Competitiva. (2020). Avances en el IGC 2020. Recuperado el 12 de 9 de 2020, de ¿Qué es y cómo se mide el Índice Global de Competitividad?: http://www.colombiacompetitiva.gov.co/snci/indicadores-internacionales/indice-competitividad-global

Compite. (2020). Informe Nacional de Competitividad 2019-2020. Bogotá D.C.:Compite.

CSCMP. (3 de Junio de 2019). Council of Supluy Chain Management Professionals.Recuperado el 3 de Junio de 2019, de CSCMP Supply Chain Management Definitionsand Glossary: https://cscmp.org/CSCMP/Educate/SCM_Definitions_and_Glossary_of_Terms/CSCMP/Educate/SCM_Definitions_and_Glossary_of_Terms.aspx?hkey=60879588-f65f-4ab5-8c4b-6878815ef921de Gooyert, V., Rouwettea, E., van Kranenburga, H., y Freemanb, E. (2017). Reviewing the role of stakeholders in Operational Research: A stakeholder theory perspective.

European Journal of Operational Research, 262, 402-410.de Souza, V., Bloemhof-Ruwaard, J., y Borsanto, M. (2019). Towards RegenerativeSupply Networks: A design framework proposal. Journal of Cleaner Production, 221,145-156.de Souza, V., Melare, A., Montenegro Gonzalez, S., Faceli, K., y Casadei, V. (2017).Technologies and decision support systems to aid solid-waste management: a systematic review. Waste Management, 59, 567-584.

Deloitte. (2019). Deloitte. Obtenido de Deloitte-Reporte-Global-Competitividad: https://www2.deloitte.com/content/dam/Deloitte/gt/Documents/finance/191009-Deloitte-Reporte-Global-Competitividad.pdf

D’Eusanio, M., Zamagni, A., y Petti, L. (2019). Social sustainability and supply chainmanagement: Methods and tools. Journal of Cleaner Production, 235, 178-189.

Erener, A., Mutlu, A., y Sebnem Düzgün, H. (2016). A Comparative Study for Landslide Susceptibility Mapping Using Gis-Based Multi-Criteria Decision Analysis (Mcda),Logistic Regression (Lr) And Association Rule Mining (Arm). Engineering Geology, 203,45-55.

Eskandarpour, M., Dejax, P., Miemczyk, J., y Péton, O. (2015). Sustainable supply chain network design: An optimization-oriented review. Omega, 54, 11-32.

Estrada Mejía, S., Restrepo de Ocampo, l. s., y Silva, B. (2010). Análisis De Los Costos Logísticos En La Administración De La Cadena De Suministro. Scientia Et Technica, 272-277. Obtenido de https://www.redalyc.org/pdf/849/84917249050.pdf

Fahimniaa, B., Tang,,., Davarzani, H., y Sarkis, J. (2015). Quantitative models for managing supply chain risks: A review. European Journal of Operational Research, 247,1-15.

Foresight. (2019). New Technology and Automation in Freight Transport and Handling Systems. Londres: Foresight. Recuperado el 3 de 10 de 2020, de https://assets.publishing.service.gov.uk/government/uploads/system/uploads/attachment_data/file/781295/automation_in_freight.pdf

Gbededoa, M., y Liyanagea, K. (2020). Descriptive framework for simulation-aidedsustainability decision-making: A Delphi study. Sustainable Production and Consumption, 22, 45-57.

Ghiani, G., Laporte, G., y Musmanno, R. (2013). Introduction to Logistics SystemsManagement. Chichester: John Wiley and Sons.

Guarnieri, P., Sobreiro, V. A., Nagano, M. S., y Marques Serrano, A. L. (2015). The

Challenge Of Selecting And Evaluating Third-Party Reverse Logistics Providers In AMulticriteria Perspective: A Brazilian Case. Journal Of Cleaner Production, 96(4333),209-219.

Hasana, M., Jianga, D., Sharif, E.-A., Ullahb, A., y E-Alama, M. (2020). Resilient supplier selection in logistics 4.0 with heterogeneous information. Expert Systems WithApplications, 139(112799).

He, J., Feng, C., Hu, D., y Liang, L. (2017). A Decision Model for Emergency Warehouse Location Based on A Novel Stochastic Mcda Method: Evidence from China.Mathematical Problems In Engineering, 2017(7804781).

Ho, W. (2008). Integrated Analytic Hierarchy Process and its Applications. A Literature Review. European Journal of Operational Research, 186(1), 211-228.

Kijewska, K., Torbacki, W., y Iwan, S. (2018). Application of Ahp And Dematel Methods In Choosing And Analysing The Measures For The Distribution Of Goods In Szczecin Region. Sustainability (Switzerland), 10(7).

Krugman, P. R., y Obstfeld, M. (2006). Economía Internacional, Teoría y política. Madrid: Pearson Educación, SA.

Laseter, T., y Oliver, K. (2003). When Will Supply Chain Management Grow Up? Recuperado el 1 de Junio de 2019, de Strategy+Bussiness: https://www.strategy-business.com/article/03304?pg=0

Liu, X. (2014). China-based logistics research: a review of the literature and implications. International Journal of Physical Distribution y Logistics Management, 44(5),392-411. Obtenido de https:// doi.org/10.1108/IJPDLM-08-2012-0225

Lombana, J., y Rozas Gutierrez, S. (2009). Marco Analítico de la competitividad.Fundamentos para la Competitividad Regional. Revista Cientifica Pensamiento y Gestión, 1-18.

Longaray, A., Ensslin, L., Ensslin, S., Dutra, A., y Munhoz, P. (2018). Using Mcda ToEvaluate the Performance Of The Logistics Process In Public Hospitals: The Case Of ABrazilian Teaching Hospital. International Transactions in Operational Research, 25(1),133-156.

Macharis, C., y Bernardini, A. (2015). Reviewing the use of Multi-Criteria DecisionAnalysis for the evaluation of transport projects: Time for a multi-actor approach.Transport Policy, 37, 177-186.

Martí Selva, M., Puertas Medina, R., y Garcia, L. (2014). Importance of thelogisticsperformance index in international trade. Applied Economics, 46(24), 2982-2992. Recuperado el 3 de 10 de 2020, de https://www.tandfonline.com/doi/abs/10.1080/00036846.2014.916394

Melkonyan, A., Gruchmann, T., Lohmar, F., Kamath, V., y Spinler, S. (2020). Sustainability Assessment of Last-Mile Logistics and Distribution Strategies: The Case of Local Food Networks. International Journal of Production Economics, 228(107746).

Mieg, H. A. (2009). Two Factors of Expertise? Excellence and Professionalism of Environmental Experts. High Ability Studies, 20(1), 91-115

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Pereira, T., y Ferreira, F. A. (2017). A Multicriteria Decision Making Model For Assessment And Selection Of An Erp In A Logistics Context. Aip Conference Proceedings.

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Porter, M. (Marzo - Abril de 1990). The competitive advantage of nations. Harvard

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Porter, M. E. (1985). Competitive Advantage Creating and Sustaining Superior Performance. New York: Free Press. Obtenido de https://es.scribd.com/document/156634860/Competitive-Advantage-Creating-and-Sustaining-Superior-Performance-Michael-Porter-1985

Qazi, A., Dickson, A., Quigley, J., y Gaudenzi, B. (2018). Supply chain risk networkmanagement: A Bayesian belief network and expected utility based approach formanaging supply chain risks. International Journal of Production Economics, 196, 24-42.

Ramirez Díaz, L. (2006). La competitividad ... ¿a qué se refiere? Ensayos de Economía, 107-117.

Rebula de Oliveira, U., Silva Marins, F., Martins Rocha, H., y Pamplona Salomon, V.A. (2017). The ISO 31000 standard in supply chain risk management. Journal of CleanerProduction, 151, 616-633.

Reeb, C. W., Venditti, R., Gonzalez, R., y Kelley, S. (2016). Environmental Lca AndFinancial Analysis To Evaluate The Feasibility Of Bio-Based Sugar Feedstock Biomass

Supply Globally: Part 2. Application Of Multi-Criteria Decision-Making Analysis As AMethod For Biomass Feedstock Comparisons. Bioresources, 11(3), 6062-6084.

Rezaei, J., van Roekel, W., y Tavasszy, L. (2018). Measuring the relative importance of the logistics performance index indicators using Best Worst Method. Transport Policy, 68, 158-169.

Saaty, T. (1980). The Analytic Hierarchy Process. New York: McGraw Hill.

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San Martin, D., Orive, M., Martínez, E., Vázquez, L., y Zufia, J. (2017). Decision Making

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SCC. (2012). Scor, Supply Chain Operations, Revision 11.0. Recuperado el 11 de Juniode 2019, de https://docs.huihoo.com/scm/supply-chain-operations-reference-model-r11.0.pdf

Servera-Francés, D. (Septiembre-Diciembre de 2010). Concepto y evolución de lafunción Logística. Innovar Journal, 20(38), 217-234. Recuperado el 10 de Junio de 2019,de http://www.redalyc.org/articulo.oa?id=81819024018

Shaw, A. W. (1916). Some problems in Market Distribution. Boston: Harvard University Press. Recuperado el 11 de Junio de 2019, de https://babel.hathitrust.org/cgi/pt?id=mdp.39015063904661yview=1upyseq=4

Subramanian, N., y Ramanathan, R. (2012). A Review of Applications of AnalyticHierarchy Process in Operations Management. International Journal of ProductionEconomics, 138(2), 215-241.

Capítulo 3.

Kamble, S. S., Gunasekaran, A., y Sharma, R. (2018). Analysis of the driving and dependence power of barriers to adopt industry 4.0 in Indian manufacturing industry. Computers in Industry, 101(July), 107–119. https://doi.org/10.1016/j.compind.2018.06.004

Lu, Y. (2017). Journal of Industrial Information Integration Industry 4 . 0 : A survey ontechnologies, applications and open research issues. Journal of Industrial InformationIntegration, 6, 1–10. https://doi.org/10.1016/j.jii.2017.04.005

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Monostori, L., Kádár, B., Bauernhansl, T., Kondoh, S., Kumara, S., Reinhart, G., …Ueda, K. (2016). Cyber-physical systems in manufacturing. CIRP Annals, 65(2), 621–641.https://doi.org/10.1016/j.cirp.2016.06.005

Pereira, A. C., y Romero, F. (2017). A review of the meanings and the implications of theIndustry 4.0 concept. Procedia Manufacturing, 13, 1206–1214. https://doi.org/10.1016/j.promfg.2017.09.032

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Shastri, A., Singh, S. R., y Gupta, S. (2015). Supply chain management under the effect of trade credit for deteriorating items with ramp-type demand and partial backordering under inflationary environment. Uncertain Supply Chain Management, 3(4),339–362. https://doi.org/10.5267/j.uscm.2015.6.001

Zhou, K., Liu, T., y Zhou, L. (2015). Industry 4.0: Towards future industrial opportunitiesand challenges. 2015 12th International Conference on Fuzzy Systems and KnowledgeDiscovery (FSKD), 2147–2152. https://doi.org/10.1109/FSKD.2015.7382284

Capitulo 4.

Adizes, I. (1994). Ciclos de vida de la organización: cómo y porqué crecen y mueren las organizaciones y qué hacer al respecto. Madrid: Ediciones Diaz de Santos.

Angreani, L.S., Vijaya, A. and Wicaksono, h. (2020). Systematic Literature Review ofIndustry 4.0 Maturity Model for Manufacturing and Logistics Sectors. https://www.sciencedirect.com/science/article/pii/S2351978920322010

Antrás, P. (2019). Conceptual Aspects of Global Value Chains. The World Bank Economic Review, 34(3), 2020, 551–574 doi: 10.1093/wber/lhaa006

Balouei Jamkhaneh, H., Safaei Ghadikolaei, AH. (2020) Medir la madurez del proceso de la cadena de suministro de servicios: un nuevo marco. Revista internacionalde productividad y gestión del rendimiento. https://www.emerald.com/insight/content/doi/10.1108/IJPPM-08-2019-0395/full/html

Banasik, A., Bloemhof-Ruwaard, J. M., Kanellopoulos, A., Claassen, G. D. H., y vander Vorst, J. G. A. J. (n.d.). Multi-criteria decision-making approaches for green supplychains: a review. Flexible Services and Manufacturing Journal, 30(3), 366–396. https://doi-org.bibliotecavirtual.unad.edu.co/10.1007/s10696-016-9263-5

Barba-Romero, S. and Pomerol, J.-C., Decisiones Multicriterio. Fundamentos Teóricos y Utilización Práctica. (2a Edición), Alcalá de Henares: Universidad de Alcalá (1997)(in Spanish).

Büyüközkan, G., Güler, M., y Kahraman, C. (2020). Analysis of companies’ digital maturity by hesitant fuzzy linguistic MCDM methods. Journal of Intelligent y Fuzzy Systems,38(1), 1119–1132. https://doi-org.bibliotecavirtual.unad.edu.co/10.3233/JIFS-179473

Caiado, RGG, Scavarda, LF, Gavião, LO, (...), Nascimento, DLDM, Garza-Reyes, JA.(2021), Un modelo de madurez de la industria 4.0 basado en reglas difusas paraoperaciones y gestión de la cadena de suministro, Revista Internacional de Economía de la Producción. (https://www.sciencedirect.com/science/article/abs/pii/S0925527320302401)

Grundke, R., et al. (2017), “Skills and global value chains: A characterization”, OECD Science, Technology and Industry Working Papers, No. 2017/05, OECD Publishing, Paris, https://doi.org/10.1787/cdb5de9b-en

Haraburda, S. S. (2017). Supply Chain Management Maturity Level Assessment.Defense Acquisition Research Journal: A Publication of the Defense Acquisition University, 24(4), 656–681. https://doi-org.bibliotecavirtual.unad.edu.co/10.22594/dau.16-772.24.04

IMD World Competitiveness Center (2020). IMD World Digital Competitiveness index. https://www.imd.org/wcc/world-competitiveness-center-rankings/world-digital-competitiveness-rankings-2020/

Jeshmberah, M., Beheshtikia, S. (2019). Madurez de la gestión de la cadena de suministro: una revisión bibliográfica integral sobre modelos, dimensiones y enfoques.

Logforum 16 (1), págs.103-116. https://www-scopus-com.bibliotecavirtual.unad.edu.co/record/display.uri?eid=2-s2.0-85077539839yorigin=resultslistysort=plf-fysrc=synlo=ynlr=ynls=ysid=d8b22efc260b9fe350c2ee8360a9afceysot=bysdt=bysl=26ys=TITLE%28Supply+and+Maturity %29yrelpos=9yciteCnt=3ysearchTerm=

Kaur, H. (1), Singh, S. P. (2), y Majumdar, A. (3). (n.d.). Modelling joint outsourcing andoffshoring decisions. International Journal of Production Research, 57(13), 4278–4309.https://doi-org.bibliotecavirtual.unad.edu.co/10.1080/00207543.2018.1471245

Mohammed, A. (2020). Towards ‘gresilient’ supply chain management: A quantitative study. Resources, Conservation y Recycling, 155. https://doi-org.bibliotecavirtual.unad.edu.co/10.1016/j.resconrec.2019.104641

OCDE (2019) Estrategia de competencias de la OCDE 2019. Competencias para construir un futuro mejor. http://www.oecd.org/skills/OECD-skills-strategy-2019-ES.pdf

Portulands Institute (2020). Network Readiness Index. https://networkreadinessindex.org/

Rae (2021). Innovación. https://dle.rae.es/innovacion

UNIDO (2015). Global Value Chains and development. UNIDO´s support towards inclusive and sustainable industrial development. www.unido.org

Vásquez-Bernal, O. A., y Cortes-Aldana, F. A. (2018). A goal-based and multi-criteriadecision analysis approach to the certification of professional engineers in Colombia. World Transactions on Engineering and Technology Education, 16(1), 84-88.

Vásquez-Bernal, O. A. (2018). Diseño de una metodología de análisis multicriteriopara la certificación de los profesionales de ingeniería en Colombia. [Tesis de doctorado, Universidad Nacional de Colombia. Departamento de Ingeniería de Sistemase Industrial]. Repositorio Institucional Universidad Nacional de Colombia. https://repositorio.unal.edu.co/bitstream/handle/unal/69506/79646296.2018_V1.2.pdf?sequence=1yamp;isAllowed=y

World Bank (2020). Global Competitiveness Report. https://www.weforum.org/reports/the-global-competitiveness-report-2020

World Industrial Property Organization (WIPO), INSEAD and Cornell SC JohnsonBusiness (2020). Global Innovation Index. https://www.globalinnovationindex.org/Home

Werner-Lewandowska, K. y Kosacka-Olejnik, M. (2019), Logistics Maturity Model forEngineering Management – Method Proposal. Volume 27, Issue 1, pp. 33-39. https://www.researchgate.net/publication/332198586_Logistics_Maturity_Model_for_Engineering_Management_-_Method_Proposal

Werner-Lewandowska K. y Kosacka-Olejnik M. (2021). How to improve logistics maturity? – a roadmap proposal for the service industry. https://reader.elsevier.com/reader/sd/pii/S2351978920321016?token=C2B900D711D469B2249C302BA48528131D4D989D3F3F4A58201C7C29A272D89A9523777C41C74BF6F6B8FBD92A9900B3

Capítulo 5.

Aguaron, J., y Moreno Jimenez, J. (2003). The geometric consistency index: Aproximated thesholds. European Journalof Operations Research, 147(1), 137-145.

Analdex. (2019). Anadex.org. Obtenido de Analdex: https://www.analdex.org/wp-content/uploads/1992/11/2018-08-06-ndice-de-desempeo-logstico-WorldBank.pdf

ANDI. (2018). ANDI. Obtenido de Encuesta Nacional Logística: http://www.andi.com.co/Uploads/Encuesta%20Nacional%20Log%C3%ADstica%202018.pdf

ANI. (2017). http://conferencias.cepal.org/. Obtenido de Gobernanza del transporte: http://conferencias.cepal.org/gobernanza_transporte/Lunes%2030/Pdf/Andr%-C3%A9s%20Figueredo.pdf

ANIF. (7 de 09 de 2018). ANIF. Obtenido de Septiembre 17 Logística del Transporte en Colombia: Índice del Banco Mundial (LPI): https://www.anif.com.co/comentario-economico-del-dia/logistica-del-transporte-en-colombia-indice-del-banco-mundial-lpi

Arvis, J., Saslavsky, D., Ojala, L., Shepherd, B., Busch, C., Raj, A., y Naula, T. (2016).Connecting to compete: Trade Logistics in the Global Economy. Washington D.C.: WordBank.

Awad-Núñez, S., González-Cancelas, N., Soler-Flores, S., y Camarero-Orive, A.(2016). A Methodology For Measuring Sustainability Of Dry Ports Location Based OnBayesian Networks And Multi-Criteria Decision Analysis. Transportation Research Procedia, 13, 124-133.

Ayyub, B. M. (2010). Methods of Expert-Opinion. Elicitation of Probabilities and Consecuences for Corps Facilities.

Ballou, R. H. (2004). Logística. Administración de la cadena de Suministro (Quinta ed.). Mexico D.F.: Pearson. Recuperado el 12 de Junio de 2019

Ballou, R. H. (2006). The evolution and future of logistics and supply chain management. Produção, 16(3), 375-386. Recuperado el 8 de Junio de 2019, de http://www. scielo.br/scielo.php?script=sci_arttext&pid=S0103-65132006000300002

Banco Mundial . (2019). Connecting to Compete 2018. Washington D.C. USA: BancoMundial.

Banco Mundial. (2017). Connecting to Compete 2016. Washington D.C.: Banco Mundial.

Banco Mundial. (2020). Bancomundial.org. Obtenido de Who we are: https://www.bancomundial.org/es/who-we-are

Banco Mundial. (2020). Doing Bussiness. Obtenido de Informes Globales: https://www.doingbusiness.org/en/reports/global-reports/doing-business-2020

Banco Mundial. (2020). Doing Bussiness. Obtenido de CHAPTER 6 Ease of doingbusiness score and ease of doing business ranking: https://openknowledge.worldbank.org/bitstream/handle/10986/32436/9781464814402_Ch06.pdf

Barba-Romero, S., y Pomerol, J. (1997). Decisiones Multicriterio. Fundamentos Teòricos y Utilización Práctica. Alcalá: Servicio de Publicaciones Universidad de Alcalá.

Belton, V., y Stewart, T. (2002). Multiple Criteria Decision Analysis. An Integrated Approach. Kluwer Academic Publisher.

Bond, S., Carlson, K., y Keeney, R. (2010). Improving the Generation of DecisionObjetives. Decision Analysis, 7(3), 238-255.

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Boutkhoum, O., Hanine, M., Tikniouine, A., y Agouti, T. (2015). Multi-Criteria Decisional Approach Of The Olap Analysis By Fuzzy Logic: Green Logistics As A Case Study. Arabian Journal For Science And Engineering, 40(8), 2345-2359.

Bowersox, D. J. (Enero de 1969). Physical Distribution Development, Current Status, and potential. Journal of Marketing, 63-70. Recuperado el 8 de Junio de 2019,de http://eds.b.ebscohost.com.bibliotecavirtual.unad.edu.co/eds/pdfviewer/pdfviewer?vid=2&sid=34a405a8-71e2-41f3-aa57-722ce063f309%40pdc-v-sessmgr01

Bowersox, D. J., Closs, D. J., y Cooper, B. (2007). Administración y logística en lacadena de suministros (Segunda ed.). Mexico D.F.: McGRAW-HILL/INTERAMERICANAEDITORES, S.A.

Buendía Rice, E. A. (2013). El papel de la Ventaja Competitiva en el desarrollo económico de los países. Análisis Económico, 28(69), 55-78. Recuperado el 6 de 9 de 2020,de https://www.redalyc.org/pdf/413/41331033004.pdf

Cabuya Padilla, B. (2016). MODELO DE PREDICCIÓN Modelo de predicción del LPI conindicadores externos usando el método PCA. caso estudio Colombia. Valencia, España:UNiversidad Politécnica de Valencia.

CEPAL. (2006). Fernando Fajnzylber – Una visión renovadora del desarrollo de América Latina. Santiago de Chile: CEPAL. Obtenido de https://repositorio.cepal.org/bitstream/handle/11362/2458/S0600410.pdf?sequence=1

Cho, D.-s., y Moon, H.-c. (2013). From Adam Smith To Michael Porter: Evolution Of

Competitiveness Theory (Extended Edition). Singapore: World Scientific. Recuperadoel 6 de 9 de 2020, de https://search-ebscohost-com.bibliotecavirtual.unad.edu.co/login.aspx?direct=true&db=nlebk&AN=564502&lang=es&site=ehost-live

CIVITAS. (2014). Innovative Urban Transport Solutions. Bruselas: CIVITAS. Obtenidode https://civitas.eu/sites/default/files/civitas-plus-innovative-urban-transport-solutions-www-final.pdf

Colombia Competitiva. (2020). Avances en el IGC 2020. Recuperado el 12 de 9 de2020, de ¿Qué es y cómo se mide el Índice Global de Competitividad?: http://www.colombiacompetitiva.gov.co/snci/indicad

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CSCMP. (3 de Junio de 2019). Council of Supluy Chain Management Professionals.Recuperado el 3 de Junio de 2019, de CSCMP Supply Chain Management Definitionsand Glossary: https://cscmp.org/CSCMP/Educate/SCM_Definitions_and_Glossary_of_Terms/CSCMP/Educate/SCM_Definitions_and_Glossary_of_Terms.aspx?hkey=60879588-f65f-4ab5-8c4b-6878815ef921de Gooyert, V., Rouwettea, E., van Kranenburga, H., y Freemanb, E. (2017). Reviewing the role of stakeholders in Operational Research: A stakeholder theory perspective. European Journal of Operational Research, 262, 402-410.de Souza, V., Bloemhof-Ruwaard, J., y Borsanto, M. (2019). Towards RegenerativeSupply Networks: A design framework proposal. Journal of Cleaner Production, 221,145-156.de Souza, V., Melare, A., Montenegro Gonzalez, S., Faceli, K., y Casadei, V. (2017).Technologies and decision support systems to aid solid-waste management: a systematic review. Waste Management, 59, 567-584.

Deloitte. (2019). Deloitte. Obtenido de Deloitte-Reporte-Global-Competitividad: https://www2.deloitte.com/content/dam/Deloitte/gt/Documents/finance/191009-Deloitte-Reporte-Global-Competitividad.pdf

D’Eusanio, M., Zamagni, A., y Petti, L. (2019). Social sustainability and supply chainmanagement: Methods and tools. Journal of Cleaner Production, 235, 178-189.

Erener, A., Mutlu, A., y Sebnem Düzgün, H. (2016). A Comparative Study for Landslide Susceptibility Mapping Using Gis-Based Multi-Criteria Decision Analysis (Mcda),Logistic Regression (Lr) And Association Rule Mining (Arm). Engineering Geology, 203,45-55.Eskandarpour, M., Dejax, P., Miemczyk, J., y Péton, O. (2015). Sustainable supplychain network design: An optimization-oriented review. Omega, 54, 11-32.

Estrada mejía, S., Restrepo de Ocampo, l. s., y Silva, B. (2010). Análisis De Los Costos Logísticos En La Administración De La Cadena De Suministro. Scientia Et Technica,272-277. Obtenido de https://www.redalyc.org/pdf/849/84917249050.pdf

Fahimniaa, B., Tang., Davarzani, H., y Sarkis, J. (2015). Quantitative models for managing supply chain risks: A review. European Journal of Operational Research, 247, 1-15.

Foresight. (2019). New Technology and Automation in Freight Transport and Handling Systems. Londres: Foresight. Recuperado el 3 de 10 de 2020, de https://assets. publishing.service.gov.uk/government/uploads/system/uploads/attachment_data/file/781295/automation_in_freight.pdf

Gbededoa, M., y Liyanagea, K. (2020). Descriptive framework for simulation-aidedsustainability decision-making: A Delphi study. Sustainable Production and Consumption, 22, 45-57.

Ghiani, G., Laporte, G., y Musmanno, R. (2013). Introduction to Logistics SystemsManagement. Chichester: John Wiley and Sons.

Guarnieri, P., Sobreiro, V. A., Nagano, M. S., y Marques Serrano, A. L. (2015). TheChallenge Of Selecting And Evaluating Third-Party Reverse Logistics Providers In AMulticriteria Perspective: A Brazilian Case. Journal Of Cleaner Production, 96(4333),209-219.

Hasana, M., Jianga, D., Sharif, E.-A., Ullahb, A., y E-Alama, M. (2020). Resilient supplier selection in logistics 4.0 with heterogeneous information. Expert Systems WithApplications, 139(112799).

He, J., Feng, C., Hu, D., y Liang, L. (2017). A Decision Model for Emergency Warehouse Location Based on A Novel Stochastic Mcda Method: Evidence from China.Mathematical Problems In Engineering, 2017(7804781).

Ho, W. (2008). Integrated Analytic Hierarchy Process and its Applications. A Literature Review. European Journal of Operational Research, 186(1), 211-228.

Kijewska, K., Torbacki, W., y Iwan, S. (2018). Application of Ahp And Dematel Methods In Choosing And Analysing The Measures For The Distribution Of Goods In Szczecin Region. Sustainability (Switzerland), 10(7).

Krugman, P. R., y Obstfeld, M. (2006). Economía Internacional, Teoría y política. Madrid: Pearson Educación, SA.

Laseter, T., y Oliver, K. (2003). When Will Supply Chain Management Grow Up? Recuperado el 1 de Junio de 2019, de Strategy+Bussiness: https://www.strategy-business.com/article/03304?pg=0

Liu, X. (2014). China-based logistics research: a review of the literature and implications. International Journal of Physical Distribution y Logistics Management, 44(5),392-411. Obtenido de https:// doi.org/10.1108/IJPDLM-08-2012-0225

Lombana, J., y Rozas Gutierrez, S. (2009). Marco Analítico de la competitividad.Fundamentos para la Competitividad Regional. Revista Cientifica Pensamiento y Gestión, 1-18.

Longaray, A., Ensslin, L., Ensslin, S., Dutra, A., y Munhoz, P. (2018). Using Mcda To Evaluate the Performance Of The Logistics Process In Public Hospitals: The Case Of ABrazilian Teaching Hospital. International Transactions in Operational Research, 25(1),133-156.

Macharis, C., y Bernardini, A. (2015). Reviewing the use of Multi-Criteria DecisionAnalysis for the evaluation of transport projects: Time for a multi-actor approach.Transport Policy, 37, 177-186.

Martí Selva, M., Puertas Medina, R., y García, L. (2014). Importance of thelogisticsperformance index in international trade. Applied Economics, 46(24), 2982-2992. Recuperado el 3 de 10 de 2020, de https://www.tandfonline.com/doi/abs/10.1080/00036846.2014.916394

Melkonyan, A., Gruchmann, T., Lohmar, F., Kamath, V., y Spinler, S. (2020). Sustainability Assessment of Last-Mile Logistics and Distribution Strategies: The Case of Local Food Networks. International Journal of Production Economics, 228(107746).

Mieg, H. A. (2009). Two Factors of Expertise? Excellence and Professionalism of Environmental Experts. High Ability Studies, 20(1), 91-115.

Ministerio de Relaciones Exteriores de Brasil. (2020). itamaraty.gov.br. Obtenido de Banco Mundial: http://www.itamaraty.gov.br/es/sem-categoria/6445-banco-mundial-es#:~:text=surgi%C3%B3%20a%20partir%20de%20la,y%20Desarrollo%E2%80%9D%20(BIRD).

Pereira, T., Ferreira, F. A., y Araújo, C. (2019). A Multicriteria Decision Model For TheSelection Of An Information System For a Logistics Company Using Mmassi/ItopenAccess. International Journal for Quality Research, 13(4), 837-848.

Porter, M. (Marzo - Abril de 1990). The competitive advantage of nations. HarvardBusiness Review Home, 73-95. Obtenido de https://hbr.org/1990/03/the-competitive-advantage-of-nations

Porter, M. E. (1985). Competitive Advantage Creating and Sustaining Superior Performance. New York: Free Press. Obtenido de https://es.scribd.com/document/156634860/Competitive-Advantage-Creating-and-Sustaining-Superior-Performance-Michael-Porter-1985

Qazi, A., Dickson, A., Quigley, J., y Gaudenzi, B. (2018). Supply chain risk network management: A Bayesian belief network and expected utility based approach for managingsupply chain risks. International Journal of Production Economics, 196, 24-42.

Ramirez Díaz, L. (2006). La competitividad ... ¿a qué se refiere? Ensayos de Economía, 107-117.

Rebula de Oliveira, U., Silva Marins, F., Martins Rocha, H., y Pamplona Salomon, V.A. (2017). The ISO 31000 standard in supply chain risk management. Journal of CleanerProduction, 151, 616-633.

Reeb, C. W., Venditti, R., Gonzalez, R., y Kelley, S. (2016). Environmental Lca AndFinancial Analysis To Evaluate The Feasibility Of Bio-Based Sugar Feedstock Biomass

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