Validación de atributos verdes utilizados en la selección de proveedores verdes

José Roberto Mendoza Fong, Jorge Luis García Alcaraz, Aidé Aracely Maldonado Macías, Guillermo Cortes Robles

Resumen


La selección de proveedores verdes es un tópico que ha tomado una gran trascendencia en los últimos años, debido a que las consideraciones ambientales dentro de la cadena de suministros cada vez son más necesarias, y a que pueden formar parte de las estrategias de negocio para generar productos con calidad y verdes. Por lo cual con esta investigación se busca facilitar a las organizaciones la toma de decisiones al momento de evaluar y seleccionar a un proveedor verdes, por lo cual se proponen 4 diferentes grupos de atributos verdes que pueden ser considerados al momento de llevar a cabo la evaluación y selección de un proveedor verdes. Estos grupos son validados con el Alfa de Cronbach para determinar su validez estadística y se ha encontrado que son válidos, dado que cada variable latente es superior a 0.7, mínimo valor aceptable.

Palabras clave


Selección de proveedores verdes Atributos verdes; Alfa de Cronbach y Cadena de suministros verdes

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Referencias


Azadnia, A. H., Saman, M. Z. M., & Wong, K. Y. (2015). Sustainable supplier selection and order lot-sizing: an integrated multi-objective decision-making process. International Journal of Production Research, 53(2), 383-408. doi:10.1080/00207543.2014.935827

Azevedo, S. G., Carvalho, H., & Cruz Machado, V. (2011). The influence of green practices on supply chain performance: A case study approach. Transportation Research Part E: Logistics and Transportation Review, 47(6), 850-871. doi:http://dx.doi.org/10.1016/j.tre.2011.05.017

Büyüközkan, G., & Çifçi, G. (2012). A novel hybrid MCDM approach based on fuzzy DEMATEL, fuzzy ANP and fuzzy TOPSIS to evaluate green suppliers. Expert Systems with Applications, 39(3), 3000-3011. doi:http://dx.doi.org/10.1016/j.eswa.2011.08.162

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.

Cronbach, L. (1951). Coefficient alpha and the internal structure of tests. Psychometrika, 16(3), 297-334. doi:10.1007/BF02310555

D´Amelio, L. M. y. A. (2010). Medidas de Tendencia Central y de Variabilidad.

de Figueiredo, J. N., & Mayerle, S. F. (2008). Designing minimum-cost recycling collection networks with required throughput. Transportation Research Part E: Logistics and Transportation Review, 44(5), 731-752. doi:http://dx.doi.org/10.1016/j.tre.2007.04.002

Demirtas, E. A., & Üstün, Ö. (2008). An integrated multiobjective decision making process for supplier selection and order allocation. Omega, 36(1), 76-90. doi:http://dx.doi.org/10.1016/j.omega.2005.11.003

Dobos, I., & Vörösmarty, G. (2014). Green supplier selection and evaluation using DEA-type composite indicators. International Journal of Production Economics, 157(0), 273-278. doi:http://dx.doi.org/10.1016/j.ijpe.2014.09.026

Genovese, A., Lenny Koh, S. C., Bruno, G., & Esposito, E. (2013). Greener supplier selection: state of the art and some empirical evidence. International Journal of Production Research, 51(10), 2868-2886. doi:10.1080/00207543.2012.748224

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

Govindan, K., Khodaverdi, R., & Jafarian, A. (2013). A fuzzy multi criteria approach for measuring sustainability performance of a supplier based on triple bottom line approach. Journal of Cleaner Production, 47, 345-354. doi:http://dx.doi.org/10.1016/j.jclepro.2012.04.014

Govindan, K., Rajendran, S., Sarkis, J., & Murugesan, P. (2015). Multi criteria decision making approaches for green supplier evaluation and selection: a literature review. Journal of Cleaner Production, 98, 66-83. doi:http://dx.doi.org/10.1016/j.jclepro.2013.06.046

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:http://dx.doi.org/10.1016/S0377-2217(01)00261-2

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:http://dx.doi.org/10.1016/S0924-0136(03)00097-9

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

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

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:http://dx.doi.org/10.1016/j.ejor.2013.07.023

Kannan, D., Khodaverdi, R., Olfat, L., Jafarian, A., & Diabat, A. (2013). Integrated fuzzy multi criteria decision making method and multi-objective programming approach for supplier selection and order allocation in a green supply chain. Journal of Cleaner Production, 47(0), 355-367. doi:http://dx.doi.org/10.1016/j.jclepro.2013.02.010

Kuo, R. J., Wang, Y. C., & Tien, F. C. (2010). Integration of artificial neural network and MADA methods for green supplier selection. Journal of Cleaner Production, 18(12), 1161-1170. doi:http://dx.doi.org/10.1016/j.jclepro.2010.03.020

Lai, K.-h., & Wong, C. W. Y. (2012). Green logistics management and performance: Some empirical evidence from Chinese manufacturing exporters. Omega, 40(3), 267-282. doi:http://dx.doi.org/10.1016/j.omega.2011.07.002

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

Ledesma, R., Molina, G., & Valero, P. (2002). Análisis de consistencia interna mediante Alfa de Cronbach: un programa basado en gráficos dinámicos. Psico-USF, 7(2), 143-152.

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:http://dx.doi.org/10.1016/j.eswa.2008.11.052

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:http://dx.doi.org/10.1016/j.jesp.2013.03.013

Lynch, S. M. (2003). Missing data. Retrieved from http://www.princeton.edu/~slynch/

Mahdiloo, M., Saen, R. F., & Lee, K.-H. (2015). Technical, environmental and eco-efficiency measurement for supplier selection: An extension and application of data envelopment analysis. International Journal of Production Economics, 168, 279-289. doi:http://dx.doi.org/10.1016/j.ijpe.2015.07.010

Martínez, F. (2002). El cuestionario. Un instrumento para la investigación en las ciencias sociales. Barcelona: Laertes Psicopedagogía.

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:http://dx.doi.org/10.1016/S0969-7012(96)00021-4

Sarkis, J. (1998). Evaluating environmentally conscious business practices. European Journal of Operational Research, 107(1), 159-174. doi:http://dx.doi.org/10.1016/S0377-2217(97)00160-4

Shaik, M., & Abdul-Kader, W. (2011). Green supplier selection generic framework: a multi-attribute utility theory approach. International Journal of Sustainable Engineering, 4(1), 37-56. doi:10.1080/19397038.2010.542836

Shen, L., Olfat, L., Govindan, K., Khodaverdi, R., & Diabat, A. (2013). A fuzzy multi criteria approach for evaluating green supplier's performance in green supply chain with linguistic preferences. Resources, Conservation and Recycling, 74(0), 170-179. doi:http://dx.doi.org/10.1016/j.resconrec.2012.09.006

Srivastava, S. K. (2007). Green supply-chain management: A state-of-the-art literature review. International Journal of Management Reviews, 9(1), 53-80. doi:10.1111/j.1468-2370.2007.00202.x

Tseng, M.-L. (2011). Green supply chain management with linguistic preferences and incomplete information. Applied Soft Computing, 11(8), 4894-4903. doi:http://dx.doi.org/10.1016/j.asoc.2011.06.010

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., García-Alcaraz, J. L. (2012). La selección deproveedores¿Un enfoque verde?: revisión de literatura. academiajournals, 4-3, 3298-3303.

Welch, S. J. C. (1988). Quantitative Methods for Public Administration: Second Edition, Pacific Grove: Brooks/Cole Publishing Company.

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:http://dx.doi.org/10.1016/j.eswa.2010.09.091

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:http://dx.doi.org/10.1016/j.jclepro.2006.05.021


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