Impacto de atributos verdes en proveedores en beneficios operativos y marketing


Palabras clave:

Atributos verdes, modelo de ecuaciones estructurales, selección de proveedores verdes, Administración de la cadena de suministros verdes


Con el surgimiento de las nuevas tendencias ambiéntales, se ha buscado la incorporación de estas en la cadena de suministros lo cual no ha sido una tarea fácil, principalmente en la selección y evaluación de proveedores verde, debido a que se desconoce si existe algún beneficio significativo al considerar atributos verdes, en la selección de proveedores. Por lo cual en esta investigación se presenta un modelo de ecuaciones estructurales compuesto por tres variables latentes: atributos verdes, beneficios obtenidos en los procesos de producción y en marketing, donde se definen las tres hipótesis que las relacionan. Las hipótesis se validaron mediante un modelo de ecuaciones estructurales y los resultados indican que existe un efecto directo y positivo entre las variables analizadas, pero el más significativo debido a su tamaño es el existente entre los atributos verdes y los beneficios obtenidos en el proceso de producción.


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Adarme Jaimes, W., Arango Serna, M. D., & Balcázar, D. A. (2011). A coordination agents’ model for the Colombian shipbuilding industry’s logistics system. 2011, 31(2), 10.

Aloini, D., Dulmin, R., Mininno, V., & Ponticelli, S. (2015). Key antecedents and practices for Supply Chain Management adoption in project contexts. International Journal of Project Management, 33(6), 1301-1316. doi:

Amindoust, A., Ahmed, S., Saghafinia, A., & Bahreininejad, A. (2012). Sustainable supplier selection: A ranking model based on fuzzy inference system. Applied Soft Computing, 12(6), 1668-1677. doi:

Andiç, E., Yurt, Ö., & Baltacıoğlu, T. (2012). Green supply chains: Efforts and potential applications for the Turkish market. Resources, Conservation and Recycling, 58(0), 50-68. doi:

Azzone, G., & Noci, G. (1996). Measuring the environmental performance of new products: an integrated approach. International Journal of Production Research, 34(11), 3055-3078. doi:10.1080/00207549608905077

Bai, C., & Sarkis, J. (2010). Integrating sustainability into supplier selection with grey system and rough set methodologies. International Journal of Production Economics, 124(1), 252-264. doi:

Bala, A., Muñoz, P., Rieradevall, J., & Ysern, P. (2008). Experiences with greening suppliers. The Universitat Autònoma de Barcelona. Journal of Cleaner Production, 16(15), 1610-1619. doi:

Bose, I., & Pal, R. (2012). Do green supply chain management initiatives impact stock prices of firms? Decision Support Systems, 52(3), 624-634. doi:

Büyüközkan, G. (2011). An integrated fuzzy multi-criteria group decision-making approach for green supplier evaluation. International Journal of Production Research, 50(11), 2892-2909. doi:10.1080/00207543.2011.564668

Caniëls, M. C. J., Gehrsitz, M. H., & Semeijn, J. (2013). Participation of suppliers in greening supply chains: An empirical analysis of German automotive suppliers. Journal of Purchasing and Supply Management, 19(3), 134-143. doi:

Chin, T. A., Tat, H. H., & Sulaiman, Z. (2015). Green Supply Chain Management, Environmental Collaboration and Sustainability Performance. Procedia CIRP, 26, 695-699. doi:

Chiou, C. Y., Hsu, C. W., & Hwang, W. Y. (2008, 8-11 Dec. 2008). Comparative investigation on green supplier selection of the American, Japanese and Taiwanese Electronics Industry in China. Paper presented at the Industrial Engineering and Engineering Management, 2008. IEEM 2008. IEEE International Conference on.

Dekker, R., Bloemhof, J., & Mallidis, I. (2012). Operations Research for green logistics – An overview of aspects, issues, contributions and challenges. European Journal of Operational Research, 219(3), 671-679. doi:

Dey, P. K., Bhattacharya, A., & Ho, W. (2015). Strategic supplier performance evaluation: A case-based action research of a UK manufacturing organisation. International Journal of Production Economics, 166, 192-214. doi:

Elkington, J. (1998). Cannibals with forks: The triple bottom line of 21st century business. Gabriola Island, BC: New Society Publishers.

Esposito V., T. L., Amato S. (2010). PLS Path Modeling: From Foundation to Recent Developments and Open Issues form Model Assessment and Improvement.

Garetti, M., & Taisch, M. (2011). Sustainable manufacturing: trends and research challenges. Production Planning & Control, 23(2-3), 83-104. doi:10.1080/09537287.2011.591619

George, D., & Mallery, P. (2003). SPSS for Windows step by step: A simple guide and reference. 11.0 update.

Giaquinta, M. (2009). Mathematical analysis: An introduction to functions of several variables. New York: NY: Springer.

Golmohammadi, D., & Mellat-Parast, M. (2012). Developing a grey-based decision-making model for supplier selection. International Journal of Production Economics, 137(2), 191-200. doi:

Green Jr, K. W., Inman, R. A., Birou, L. M., & Whitten, D. (2014). Total JIT (T-JIT) and its impact on supply chain competency and organizational performance. International Journal of Production Economics, 147, Part A, 125-135. doi:

Green, K. W., Inman, R. A., Birou, L. M., & Whitten, D. (2014). Total JIT (T-JIT) and its impact on supply chain competency and organizational performance. International Journal of Production Economics, 147, Part A, 125-135. doi:

Gurel, O., Acar, A. Z., Onden, I., & Gumus, I. (2015). Determinants of the Green Supplier Selection. Procedia - Social and Behavioral Sciences, 181, 131-139. doi:

Hair, J. F., Anderson, R. E., & Tatham, R. L. (1987). Multivariate data analysis. New York: NY: Macmillan.

Hair, J. F. B., W C. Babin, B J., & Anderson, R. E. (2009). Multivariate data analysis. Upper Saddle River: NJ: Prentice Hall.

Handfield, R., Walton, S. V., Sroufe, R., & Melnyk, S. A. (2002). Applying environmental criteria to supplier assessment: A study in the application of the Analytical Hierarchy Process. European Journal of Operational Research, 141(1), 70-87. doi:

Henseler, J., & Sarstedt, M. (2013). Goodness-of-fit indices for partial least squares path modeling. Computational Statistics, 28(2), 565-580. doi:10.1007/s00180-012-0317-1

Hoffman, A. B., M. (2005). Changing Environmental Practice: Understanding and Overcoming the Organizational and Psychological Barriers. Journal of Social Issues.

Humphreys, P. K., Wong, Y. K., & Chan, F. T. S. (2003). Integrating environmental criteria into the supplier selection process. Journal of Materials Processing Technology, 138(1–3), 349-356. doi:

Igarashi, M., de Boer, L., & Fet, A. M. (2013). What is required for greener supplier selection? A literature review and conceptual model development. Journal of Purchasing and Supply Management, 19(4), 247-263. doi:

Jabbour, A. B. L. S., & Jabbour, C. J. C. (2009). Are supplier selection criteria going green? Case studies of companies in Brazil. Industrial Management & Data Systems, 109(4), 477-495. doi:doi:10.1108/02635570910948623

Jabbour, C. J. C., & de Sousa Jabbour, A. B. L. (2015). Green Human Resource Management and Green Supply Chain Management: linking two emerging agendas. Journal of Cleaner Production. doi:

Joseph F. Hair Jr, W. C. B., Barry J. Babin & Rolph E. Anderson. (2013). Multivariate Data Analysis (7th edition) Pretince Hall.

Kaiser, H. M. (2011). Mathematical programming for agricultural, environmental, and resource economics: Hoboken, NJ: Wiley.

Kannan, D., Govindan, K., & Rajendran, S. (2015). Fuzzy Axiomatic Design approach based green supplier selection: a case study from Singapore. Journal of Cleaner Production, 96, 194-208. doi:

Kannan, D., Jabbour, A. B. L. d. S., & Jabbour, C. J. C. (2014). Selecting green suppliers based on GSCM practices: Using fuzzy TOPSIS applied to a Brazilian electronics company. European Journal of Operational Research, 233(2), 432-447. doi:

Ketkar, M., & Vaidya, O. S. (2012). Study of Emerging Issues in Supply Risk Management in India. Procedia - Social and Behavioral Sciences, 37, 57-66. doi:

Kock, N. (2014). Advanced Mediating Effects Tests, Multi-Group Analyses, and Measurement Model Assessments in PLS-Based SEM. Int. J. e-Collab., 10(1), 1-13. doi:10.4018/ijec.2014010101

Kohler, M., Müller, F., & Walk, H. (2015). Estimation of a regression function corresponding to latent variables. Journal of Statistical Planning and Inference, 162, 88-109. doi:

Kumar, A., Jain, V., & Kumar, S. (2014). A comprehensive environment friendly approach for supplier selection. Omega, 42(1), 109-123. doi:

Lamming, R., & Hampson, J. (1996). The Environment as a Supply Chain Management Issue. British Journal of Management, 7, S45-S62. doi:10.1111/j.1467-8551.1996.tb00147.x

Lee, A. H. I., Kang, H.-Y., Hsu, C.-F., & Hung, H.-C. (2009). A green supplier selection model for high-tech industry. Expert Systems with Applications, 36(4), 7917-7927. doi:

Leys, C., Ley, C., Klein, O., Bernard, P., & Licata, L. (2013). Detecting outliers: Do not use standard deviation around the mean, use absolute deviation around the median. Journal of Experimental Social Psychology, 49(4), 764-766. doi:

Likert, R. (1932). A Technique for the measumerement of attitudes. Archives of Psychology, 22(140), 1-55.

Lynch, S. M. (2003). Missing data.

Margolis, J. D., & Walsh, J. P. (2003). Misery Loves Companies: Rethinking Social Initiatives by Business. Administrative Science Quarterly, 48(2), 268-305. doi:10.2307/3556659

Maruthi, G. D., & Rashmi, R. (2015). Green Manufacturing: It's Tools and Techniques that can be implemented in Manufacturing Sectors. Materials Today: Proceedings, 2(4–5), 3350-3355. doi:

Merschmann, U., & Thonemann, U. W. (2011). Supply chain flexibility, uncertainty and firm performance: An empirical analysis of German manufacturing firms. International Journal of Production Economics, 130(1), 43-53. doi:

Naffziger, D., Montagno, R. (2003). SAM Advanced Management Journal Publisher: Society for the Advancement of Management. Society for the Advancement of Management, 68(2), 23–32.

Noci, G. (1997). Designing ‘green’ vendor rating systems for the assessment of a supplier's environmental performance. European Journal of Purchasing & Supply Management, 3(2), 103-114. doi:

Olugu, E. U., Wong, K. Y., & Shaharoun, A. M. (2011). Development of key performance measures for the automobile green supply chain. Resources, Conservation and Recycling, 55(6), 567-579. doi:

Rosenthal, R., & Rosnow, R. L. (1991). Essentials of behavioral research: Methods and data analysis. Boston, MA.: McGraw Hill.

Sarkis, J. (1998). Evaluating environmentally conscious business practices. European Journal of Operational Research, 107(1), 159-174. doi:

Stefanelli, N. O., Jabbour, C. J. C., & Jabbour, A. B. L. d. S. (2014). Green supply chain management and environmental performance of firms in the bioenergy sector in Brazil: An exploratory survey. Energy Policy, 75, 312-315. doi:

Thomas, D. J., & Griffin, P. M. (1996). Coordinated supply chain management. European Journal of Operational Research, 94(1), 1-15. doi:

Trentesaux, D., & Giret, A. (2015). Go-green manufacturing holons: A step towards sustainable manufacturing operations control. Manufacturing Letters, 5, 29-33. doi:

Tseng, M.-L. (2011). Green supply chain management with linguistic preferences and incomplete information. Applied Soft Computing, 11(8), 4894-4903. doi:

Vega Mora, L., Ordoñez, J. I., & Pinilla Agudelo, G. A. (2012). Towards a systemic assessment of environmental impact (SAEI) regarding alternative hydrosedimentological management practice in the Canal del Dique, Colombia. 2012, 33(3), 8.

Villanueva-Ponce, R., Garcia-Alcaraz, J., Cortes-Robles, G., Romero-Gonzalez, J., Jiménez-Macías, E., & Blanco-Fernández, J. (2015). Impact of suppliers’ green attributes in corporate image and financial profit: case maquiladora industry. The International Journal of Advanced Manufacturing Technology, 80(5-8), 1277-1296. doi:10.1007/s00170-015-7082-6

Villanueva Ponce, R. D. (2014). Encuesta de atributos en la selección de proveedores.

Walton, S. V., Handfield, R. B., & Melnyk, S. A. (1998). The Green Supply Chain: Integrating Suppliers into Environmental Management Processes. International Journal of Purchasing and Materials Management, 34(1), 2-11. doi:10.1111/j.1745-493X.1998.tb00042.x

Weber, C. A., Current, J. R., & Benton, W. C. (1991). Vendor selection criteria and methods. European Journal of Operational Research, 50(1), 2-18. doi:

Will, M. (2008). Talking about the future within an SME?: Corporate foresight and the potential contributions to sustainable development. Management of Environmental Quality: An International Journal, 19(2), 234-242. doi:doi:10.1108/14777830810856618

Wold, S., Trygg, J., Berglund, A., & Antti, H. (2001). Some recent developments in PLS modeling. Chemometrics and Intelligent Laboratory Systems, 58(2), 131-150.

Wu, H.-H., & Chang, S.-Y. (2015). A case study of using DEMATEL method to identify critical factors in green supply chain management. Applied Mathematics and Computation, 256, 394-403. doi:

Yeh, W.-C., & Chuang, M.-C. (2011). Using multi-objective genetic algorithm for partner selection in green supply chain problems. Expert Systems with Applications, 38(4), 4244-4253. doi:

Zhu, Q., Sarkis, J., & Lai, K.-h. (2007). Green supply chain management: pressures, practices and performance within the Chinese automobile industry. Journal of Cleaner Production, 15(11–12), 1041-1052. doi:

Zhu, Q., Sarkis, J., & Lai, K.-h. (2013). Institutional-based antecedents and performance outcomes of internal and external green supply chain management practices. Journal of Purchasing and Supply Management, 19(2), 106-117. doi:



Cómo citar

Mendoza Fong, J. R., García Alcaraz, J. L., Maldonado-Macías, A. A., & Rico Pérez, L. (2018). Impacto de atributos verdes en proveedores en beneficios operativos y marketing. Cultura Científica Y Tecnológica, (63). Recuperado a partir de