Green supply chain management, agility, and resilience in Mexican manufacturing companies
Palabras clave:
green supply chain management, agility, resilience, manufacturing industry
Resumen
The objective of the work is to analyze how green supply chain management practices influence the environmental and financial performance of Mexican manufacturing firms, considering supply chain agility and resilience as key organizational capabilities for adaptation in dynamic environments. The methodology consisted of an empirical, quantitative, and cross-sectional study applied to 270 manufacturing companies in Mexico, using a structured questionnaire and Partial Least Squares Structural Equation Modeling (PLS-SEM) to test the proposed relationships among the constructs. The results show that green supply chain management practices have a positive and significant effect on both environmental and financial performance, while supply chain agility and resilience act as important mediating mechanisms that strengthen these relationships. Additionally, big data analytics enhances the impact of green practices on environmental performance, although its moderating effect on financial performance is not statistically significant. It is concluded that the integration of green supply chain management with dynamic capabilities such as agility, resilience, and data-driven decision-making enables manufacturing firms to respond more effectively to environmental pressures, improve sustainability outcomes, and maintain competitiveness within the Mexican industrial context.
Citas
Agyabeng-Mensah, Y., Ahenkorah, E., Afum, E., Nana Agyemang, A., Agnikpe, C., & Rogers, F. (2020). Examining the influence of internal green supply chain practices, green human resource management and supply chain environmental cooperation on firm performance. Supply Chain Management: An International Journal, 25(5), 585-599. https://doi.org/10.1108/SCM-11-2019-0405
Ahmed, W., Najmi, A., & Khan, F. (2020). Examining the impact of institutional pressures and green supply chain management practices on firm performance. Management of Environmental Quality: An International Journal, 31(5), 1261-1283. https://doi.org/10.1108/MEQ-06-2019-0115
Albort-Morant, G., Leal Millán, A., & Cepeda Carrión, G. (2016). The antecedents of green innovation performance: A model of learning and capabilities. Journal of Business Research, 69(11), 4912-4917. https://doi.org/10.1016/j.jbusres.2016.04.052
Antwi , B. O., Agyapong, D., & Owusu, D. (2022). Green supply chain practices and sustainable performance of mining firms: Evidence from a developing country. Cleaner Logistics and Supply Chain, 4, 1-8. https://doi.org/10.1016/j.clscn.2022.100046
Barclay, D., Higgins, C. A., & Thompson, R. L. (1995). The partial least squares (PLS) approach to causal modelling: Personal computer adoption and use as an illustration. Technology Studies, 2(2), 285-309. https://www.researchgate.net/publication/242663837_The_Partial_Least_Squares_PLS_Approach_to_Causal_Modeling_Personal_Computer_Use_as_an_Illustration
Bové, A. T., & Swartz, S. (2016). Starting at the source: Sustainability in supply chains. McKinsey on Sustainability and Resource Productivity. McKinsey on Sustainability and Resource Productivity. https://www.textilepact.net/wp-content/uploads/2019/12/sustainability_in_supply_chains_report_by_mcKinsey_company.pdf
Chan, H. K., Yee, R. W., Dai, J., & Lim, M. K. (2016). The moderating effect of environmental dynamism on green product innovation and performance. International Journal of Production Economics, 181, 384-391. https://doi.org/10.1016/j.ijpe.2016.07.013
Chin, W. W. (1998). The partial least squares approach to structural equation modeling. In G. A. Marcoulides, Modern methods for business research (pp. 295-336). Lawrence Erlbaum Associates. https://doi.org/10.4324/9781410604385
Cohen, J. (2013). Statistical power analysis for the behavioural sciences. Routledge. https://doi.org/10.4324/9780203771587
Dubey, R., Gunasekaran , A., & Ali, S. S. (2015). Exploring the relationship between leadership, operational practices, institutional pressures and environmental performance: A framework for the green supply chain. International Journal of Production Economics, 160, 120-132. https://doi.org/10.1016/j.ijpe.2014.10.001
Efron, B. (1992). Bootstrap methods: Another look at the jackknife. In S. Kotz , & N. L. Johnson, Breakthroughs in statistics: Methodology and distribution (pp. 569–593). Springer. https://doi.org/10.1007/978-1-4612-4380-9_41
Gera, R., Chadha, P., Nag, M. B., Sharma, S., Arora, H., Parvaez, A., & Sergeevna, L. Y. (2022). A systematic review of green supply chain management practices in firms. Materials Today: Proceedings, 69, 535-542. https://doi.org/10.1016/j.matpr.2022.08.288
Ghaderi, Z., Shakori, H., Bagheri, F., Hall, C. M., Rather, R. A., & Moaven, Z. (2024). Green supply chain management, environmental costs and supply chain performance in the hotel industry: The mediating role of supply chain agility and resilience. Current Issues in Tourism, 27(13), 1-17. https://doi.org/10.1080/13683500.2023.2223911
Hair , J., Hult, J. F., M, G. T., Ringle, C. M., Sarstedt, M., Danks, N. P., & Ray, S. (2021). Partial least squares structural equation modelling (PLS-SEM) using R: A workbook. Springer Nature. https://doi.org/https://library.oapen.org/handle/20.500.12657/51463
Hair, J. F., Ringle, C. M., & Sarstedt, M. (2011). PLS-SEM: Indeed a silver bullet. Journal of Marketing Theory and Practice, 19(2), 139-152. https://doi.org/10.2753/MTP1069-6679190202
Henseler, J., Ringle, C. M., & Sarstedt, M. (2016). Testing measurement invariance of composites using partial least squares. International Marketing Review, 33(3), 405-431. https://doi.org/10.1108/IMR-09-2014-0304
Kalyar, M. N., Shoukat, A., & Shafique, I. (2020). Enhancing firms’ environmental performance and financial performance through green supply chain management practices and institutional pressures. Sustainability Accounting, Management and Policy Journal, 11(2), 451-476. https://doi.org/10.1108/SAMPJ-02-2019-0047
Kouhizadeh, M., & Sarkis, J. (2018). Blockchain practices, potentials, and perspectives in greening supply chains. Sustainability, 10(10), 3652. https://doi.org/10.3390/su10103652
Laari, S. T. (2018). The effect of a competitive strategy and green supply chain management on the financial and environmental performance of logistics service providers. Business Strategy and the Environment, 27(7), 872-883. https://doi.org/10.1002/bse.2043
Mardani, A., Kannan , D., Hooker, R. E., Ozkul, S., Alrasheedi, M., & Tirkolaee, E. B. (2020). Evaluation of green and sustainable supply chain management using structural equation modelling: A systematic review of the state-of-the-art literature and recommendations for future research. Journal of Cleaner Production, 249, 119383. https://doi.org/10.1016/j.jclepro.2019.119383
Mirghafoori, S. H., Andalib, D., & Keshavarz, P. (2017). Developing green performance through supply chain agility in manufacturing industry: A case study approach. Corporate Social Responsibility and Environmental Management, 24(5), 368-381. https://doi.org/10.1002/csr.1411
Murtagh, F., & Heck, A. (2012). Multivariate data analysis (5th ed ed.). Springer Science & Business Media. https://doi.org/10.1007/978-94-009-3789-5
Rachid, B., Roland, D., Sebastien, D., & R., I. (2017). Risk Management Approach for Lean, Agile, Resilient and Green Supply Chain. World Academy of Science, Engineering and Technology, International Journal of Social, Behavioral, Educational, Economic, Business and Industrial Engineering, 11(4), 742-750. https://doi.org/10.1109/ICAdLT.2017.8547021
Renaldo, N., & Augustine, Y. (2022). The effect of green supply chain management, green intellectual capital, and green information system on environmental performance and financial performance. Archives of Business Research, 10(10), 53-77. https://doi.org/10.14738/abr.1010.13254.
Ringle, C. M., Wende, S., & Becker, J. M. (2015). SmartPLS 3. Boenningstedt: SmartPLS GmbH.. https://www.smartpls.com/
Setiawan, H. S., Tarigan, Z. J., & Siagian, H. (2023). Digitalization and green supply chain integration are needed to build supply chain resilience toward a better firm competitive advantage. Uncertain Supply Chain Management, 11(2), 683-696. https://doi.org/10.5267/j.uscm.2023.1.012
Shafique, M., Asghar , M., & Rahman, H. (2017). The impact of green supply chain management practices on performance: The moderating role of institutional pressure with mediating effect of green innovation. Business, Management and Economics Engineering, 15(1), 91-108. https://doi.org/10.3846/bme.2017.354
Shultz, C. J., & Holbrook, M. B. (1999). Marketing and the tragedy of the commons: A synthesis, commentary, and analysis for action. Journal of Public Policy & Marketing, 18(2), 218-229. https://doi.org/10.1177/074391569901800208
Singh, S. K., Chen, J., Del Giudice, M., & El-Kassar , A. N. (2019). Environmental ethics, environmental performance, and competitive advantage: Role of environmental training. Technological Forecasting and Social Change, 146, 203-211. https://doi.org/10.1016/j.techfore.2019.05.032
Zeng, H., Li, R. Y., & Zeng, L. (2022). Evaluating green supply chain performance based on ESG and financial indicators. Frontiers in Environmental Science, 10, 1-13. https://doi.org/10.3389/fenvs.2022.982828
Zhu, Q., Sarkis, J., & Geng, Y. (2005). Green supply chain management in Mexico: Pressures, practices and performance. International Journal of Operations & Production Management, 25(5), 449-468. https://doi.org/10.1108/01443570510593148
Zhu, X., & Wu, Y. J. (2022). How does supply chain resilience affect supply chain performance? The mediating effect of sustainability. Sustainability, 14(21), 14626. https://doi.org/10.3390/su142114626
Ahmed, W., Najmi, A., & Khan, F. (2020). Examining the impact of institutional pressures and green supply chain management practices on firm performance. Management of Environmental Quality: An International Journal, 31(5), 1261-1283. https://doi.org/10.1108/MEQ-06-2019-0115
Albort-Morant, G., Leal Millán, A., & Cepeda Carrión, G. (2016). The antecedents of green innovation performance: A model of learning and capabilities. Journal of Business Research, 69(11), 4912-4917. https://doi.org/10.1016/j.jbusres.2016.04.052
Antwi , B. O., Agyapong, D., & Owusu, D. (2022). Green supply chain practices and sustainable performance of mining firms: Evidence from a developing country. Cleaner Logistics and Supply Chain, 4, 1-8. https://doi.org/10.1016/j.clscn.2022.100046
Barclay, D., Higgins, C. A., & Thompson, R. L. (1995). The partial least squares (PLS) approach to causal modelling: Personal computer adoption and use as an illustration. Technology Studies, 2(2), 285-309. https://www.researchgate.net/publication/242663837_The_Partial_Least_Squares_PLS_Approach_to_Causal_Modeling_Personal_Computer_Use_as_an_Illustration
Bové, A. T., & Swartz, S. (2016). Starting at the source: Sustainability in supply chains. McKinsey on Sustainability and Resource Productivity. McKinsey on Sustainability and Resource Productivity. https://www.textilepact.net/wp-content/uploads/2019/12/sustainability_in_supply_chains_report_by_mcKinsey_company.pdf
Chan, H. K., Yee, R. W., Dai, J., & Lim, M. K. (2016). The moderating effect of environmental dynamism on green product innovation and performance. International Journal of Production Economics, 181, 384-391. https://doi.org/10.1016/j.ijpe.2016.07.013
Chin, W. W. (1998). The partial least squares approach to structural equation modeling. In G. A. Marcoulides, Modern methods for business research (pp. 295-336). Lawrence Erlbaum Associates. https://doi.org/10.4324/9781410604385
Cohen, J. (2013). Statistical power analysis for the behavioural sciences. Routledge. https://doi.org/10.4324/9780203771587
Dubey, R., Gunasekaran , A., & Ali, S. S. (2015). Exploring the relationship between leadership, operational practices, institutional pressures and environmental performance: A framework for the green supply chain. International Journal of Production Economics, 160, 120-132. https://doi.org/10.1016/j.ijpe.2014.10.001
Efron, B. (1992). Bootstrap methods: Another look at the jackknife. In S. Kotz , & N. L. Johnson, Breakthroughs in statistics: Methodology and distribution (pp. 569–593). Springer. https://doi.org/10.1007/978-1-4612-4380-9_41
Gera, R., Chadha, P., Nag, M. B., Sharma, S., Arora, H., Parvaez, A., & Sergeevna, L. Y. (2022). A systematic review of green supply chain management practices in firms. Materials Today: Proceedings, 69, 535-542. https://doi.org/10.1016/j.matpr.2022.08.288
Ghaderi, Z., Shakori, H., Bagheri, F., Hall, C. M., Rather, R. A., & Moaven, Z. (2024). Green supply chain management, environmental costs and supply chain performance in the hotel industry: The mediating role of supply chain agility and resilience. Current Issues in Tourism, 27(13), 1-17. https://doi.org/10.1080/13683500.2023.2223911
Hair , J., Hult, J. F., M, G. T., Ringle, C. M., Sarstedt, M., Danks, N. P., & Ray, S. (2021). Partial least squares structural equation modelling (PLS-SEM) using R: A workbook. Springer Nature. https://doi.org/https://library.oapen.org/handle/20.500.12657/51463
Hair, J. F., Ringle, C. M., & Sarstedt, M. (2011). PLS-SEM: Indeed a silver bullet. Journal of Marketing Theory and Practice, 19(2), 139-152. https://doi.org/10.2753/MTP1069-6679190202
Henseler, J., Ringle, C. M., & Sarstedt, M. (2016). Testing measurement invariance of composites using partial least squares. International Marketing Review, 33(3), 405-431. https://doi.org/10.1108/IMR-09-2014-0304
Kalyar, M. N., Shoukat, A., & Shafique, I. (2020). Enhancing firms’ environmental performance and financial performance through green supply chain management practices and institutional pressures. Sustainability Accounting, Management and Policy Journal, 11(2), 451-476. https://doi.org/10.1108/SAMPJ-02-2019-0047
Kouhizadeh, M., & Sarkis, J. (2018). Blockchain practices, potentials, and perspectives in greening supply chains. Sustainability, 10(10), 3652. https://doi.org/10.3390/su10103652
Laari, S. T. (2018). The effect of a competitive strategy and green supply chain management on the financial and environmental performance of logistics service providers. Business Strategy and the Environment, 27(7), 872-883. https://doi.org/10.1002/bse.2043
Mardani, A., Kannan , D., Hooker, R. E., Ozkul, S., Alrasheedi, M., & Tirkolaee, E. B. (2020). Evaluation of green and sustainable supply chain management using structural equation modelling: A systematic review of the state-of-the-art literature and recommendations for future research. Journal of Cleaner Production, 249, 119383. https://doi.org/10.1016/j.jclepro.2019.119383
Mirghafoori, S. H., Andalib, D., & Keshavarz, P. (2017). Developing green performance through supply chain agility in manufacturing industry: A case study approach. Corporate Social Responsibility and Environmental Management, 24(5), 368-381. https://doi.org/10.1002/csr.1411
Murtagh, F., & Heck, A. (2012). Multivariate data analysis (5th ed ed.). Springer Science & Business Media. https://doi.org/10.1007/978-94-009-3789-5
Rachid, B., Roland, D., Sebastien, D., & R., I. (2017). Risk Management Approach for Lean, Agile, Resilient and Green Supply Chain. World Academy of Science, Engineering and Technology, International Journal of Social, Behavioral, Educational, Economic, Business and Industrial Engineering, 11(4), 742-750. https://doi.org/10.1109/ICAdLT.2017.8547021
Renaldo, N., & Augustine, Y. (2022). The effect of green supply chain management, green intellectual capital, and green information system on environmental performance and financial performance. Archives of Business Research, 10(10), 53-77. https://doi.org/10.14738/abr.1010.13254.
Ringle, C. M., Wende, S., & Becker, J. M. (2015). SmartPLS 3. Boenningstedt: SmartPLS GmbH.. https://www.smartpls.com/
Setiawan, H. S., Tarigan, Z. J., & Siagian, H. (2023). Digitalization and green supply chain integration are needed to build supply chain resilience toward a better firm competitive advantage. Uncertain Supply Chain Management, 11(2), 683-696. https://doi.org/10.5267/j.uscm.2023.1.012
Shafique, M., Asghar , M., & Rahman, H. (2017). The impact of green supply chain management practices on performance: The moderating role of institutional pressure with mediating effect of green innovation. Business, Management and Economics Engineering, 15(1), 91-108. https://doi.org/10.3846/bme.2017.354
Shultz, C. J., & Holbrook, M. B. (1999). Marketing and the tragedy of the commons: A synthesis, commentary, and analysis for action. Journal of Public Policy & Marketing, 18(2), 218-229. https://doi.org/10.1177/074391569901800208
Singh, S. K., Chen, J., Del Giudice, M., & El-Kassar , A. N. (2019). Environmental ethics, environmental performance, and competitive advantage: Role of environmental training. Technological Forecasting and Social Change, 146, 203-211. https://doi.org/10.1016/j.techfore.2019.05.032
Zeng, H., Li, R. Y., & Zeng, L. (2022). Evaluating green supply chain performance based on ESG and financial indicators. Frontiers in Environmental Science, 10, 1-13. https://doi.org/10.3389/fenvs.2022.982828
Zhu, Q., Sarkis, J., & Geng, Y. (2005). Green supply chain management in Mexico: Pressures, practices and performance. International Journal of Operations & Production Management, 25(5), 449-468. https://doi.org/10.1108/01443570510593148
Zhu, X., & Wu, Y. J. (2022). How does supply chain resilience affect supply chain performance? The mediating effect of sustainability. Sustainability, 14(21), 14626. https://doi.org/10.3390/su142114626
Publicado
2026-03-24
Cómo citar
Esponda Pérez, J. A., Marroquín Figueroa, J. M., Tapia de Aquino, J. M., & Rocha Leyva, F. J. (2026). Green supply chain management, agility, and resilience in Mexican manufacturing companies. Revista Venezolana De Gerencia, 31(114), e3111417. Recuperado a partir de https://produccioncientificaluz.org/index.php/rvg/article/view/45308
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TRIMESTRE
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