Vol. 36 (2026): Volumen 36
Artículos de investigación

Green Supply Chain Management and Performance: Roles of Agility, Resilience, and Big Data Analytics

Jorge Alberto Esponda Pérez unicach

Published 2026-09-09

How to Cite

Esponda Pérez, J. A., Marroquín Figueroa, J. M., Rocha Leyva, F. J., Guinto Sánchez, I., & Moreno Cortés, K. C. (2026). Green Supply Chain Management and Performance: Roles of Agility, Resilience, and Big Data Analytics. Acta Universitaria, 36. https://doi.org/10.15174/au.2026.4752

Abstract

Green supply chain management has emerged as a key strategy for manufacturing firms seeking to balance environmental responsibility and economic performance, particularly in emerging economies. This study examines how green supply chain management practices relate to perceived environmental and financial performance in Mexican manufacturing firms, considering the mediating roles of supply chain agility and resilience and the moderating role of big data analytics capabilities. Data were collected through a survey of 270 manufacturing firms in Mexico and analyzed using partial least squares structural equation modeling. Findings indicate that green supply chain management is positively associated with both performance dimensions. Supply chain agility and resilience partially mediate these relationships, while big data analytics capabilities strengthen the association with environmental performance but not with financial performance. The results clarify how sustainability initiatives operate under enabling organizational capabilities in an emerging economy context.

References

  1. Ageron, B., Gunasekaran, A., & Spalanzani, A. (2012). Sustainable supply management: an empirical study. International Journal of Production Economics, 140(1), 168-182. https://doi.org/10.1016/j.ijpe.2011.04.007
  2. Agyabeng-Mensah, Y., Ahenkorah, E., Afum, E., Nana, 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
  3. 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
  4. Akram, M. U., Islam, N., Chauhan, C., & Yaqub, M. Z. (2024). Resilience and agility in sustainable supply chains: A relational and dynamic capabilities view. Journal of Business Research, 183, 114855. https://doi.org/10.1016/j.jbusres.2024.114855
  5. Alkandi, I., Alhajri, N., & Alnajim, A. (2024). Green supply chain management, business performance, and future challenges: evidence from emerging industrial sector. Sustainability, 17(1), 29. https://doi.org/10.3390/su17010029
  6. Al-Khatib, A. W. (2022). Big data analytics capabilities and green supply chain performance: investigating the moderated mediation model for green innovation and technological intensity. Business Process Management Journal, 28(5-6), 1446-1471. https://doi.org/10.1108/BPMJ-07-2022-0332
  7. Bag, S., Wood, L. C., Xu, L., & Dhamija, P. (2020). Big data analytics as an operational excellence approach to enhance sustainable supply chain performance. Resources, Conservation and Recycling, 153, 105119. https://doi.org/10.1016/j.resconrec.2019.104559
  8. Barclay, D. W., Thompson, R. L., & Higgins, C. (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
  9. Barney, J. (1991). Firm resources and sustained competitive advantage. Journal of Management, 17(1), 99–120. https://doi.org/10.1177/014920639101700108
  10. Batool, F., Mohsin, M., & Alwadi, B. M. (2025). Green innovation and environmental performance: the moderating roles of governance and policy. World, 6(1), 29. https://doi.org/10.3390/world6010029
  11. Begen, M. A., Pun, H., & Yan, X. (2016). Supply and demand uncertainty reduction efforts and cost comparison. International Journal of Production Economics, 180, 125-134. https://doi.org/10.1016/j.ijpe.2016.07.013
  12. Beske, P., Land, A., & Seuring, S. (2014). Sustainable supply chain management practices and dynamic capabilities in the food industry: a critical analysis of the literature. International Journal of Production Economics, 152, 131–143. https://doi.org/10.1016/j.ijpe.2013.12.026
  13. Bové, A. T., & Swartz, S. (2016). Starting at the source: sustainability in supply chains. McKinsey&Company. https://www.textilepact.net/wp-content/uploads/2019/12/sustainability_in_supply_chains_report_by_mcKinsey_company.pdf
  14. Carter, C. R., Kale, R., & Grimm, C. M. (2000). Environmental purchasing and firm performance: an empirical investigation. Transportation Research Part E: Logistics and Transportation Review, 36(3), 219–228. https://doi.org/10.1016/S1366-5545(99)00034-4
  15. Chin, W. W., Peterson, R. A., & Brown, S. P. (2008). Structural equation modeling in marketing: some practical reminders. Journal of Marketing Theory and Practice, 16(4), 287-298. https://doi.org/10.2753/MTP1069-6679160402
  16. Choi, D., & Hwang, T. (2015). The impact of green supply chain management practices on firm performance: the role of collaborative capability. Operations Management Research, 8(3), 69–83. https://doi.org/10.1007/s12063-015-0100-x
  17. Cohen, J. (2013). Statistical power analysis for the behavioral sciences (2nd ed.). Routledge. https://doi.org/10.4324/9780203771587
  18. De Giovanni, P. (2012). Do internal and external environmental management contribute to the triple bottom line?. International Journal of Operations & Production Management, 32(3), 265–290. https://doi.org/10.1108/01443571211212574
  19. Diabat, A., Kannan, D., & Mathiyazhagan, K. (2014). Analysis of enablers for implementation of sustainable supply chain management – A textile case. Journal of Cleaner Production, 83, 391–403. https://doi.org/10.1016/j.jclepro.2014.06.081
  20. 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
  21. Efron, B. (1992). Bootstrap methods: another look at the jackknife. In S. Kotz, & N. L. Johnson (eds.), Breakthroughs in statistics Volume II: methodology and distribution (pp. 569-593). New York, NY: Springer New York. https://doi.org/10.1007/978-1-4612-4380-9_41
  22. Fasan, M., Soerger, E., Soerger, C., Porco, B., & Tiscini, R. (2021). An empirical analysis: Did green supply chain management alleviate the effects of COVID‐19?. Business Strategy and the Environment, 30(5), 2702-2712. https://doi.org/10.1002/bse.2772
  23. Fernando, Y., & Saththasivam, G. (2017). Green supply chain agility in EMS ISO 14001 manufacturing firms: empirical justification of social and environmental performance as an organisational outcome. International Journal of Procurement Management, 10(1), 51-69. https://doi.org/10.1504/IJPM.2017.080911
  24. Foliente, G. C., & Becker, R. (2001). CIB PBBCS Proactive Programme–Task 1. Compendium of Building Performance Models. CIB (International Council for Research and Innovation in Building and Construction). https://www.researchgate.net/publication/228710208_CIB_PBBCS_Proactive_Programme-Task_1_Compendium_of_Building_Performance_Models
  25. Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39-50. https://doi.org/10.1177/002224378101800104
  26. Freeman, R. E. (1984). Strategic management: a stakeholder approach. Pitman.
  27. Geng, R., Mansouri, S. A., & Aktas, E. (2017). The relationship between green supply chain management and performance: a meta-analysis of empirical evidences in Asian emerging economies. International Journal of Production Economics, 183, 245–258. https://doi.org/10.1016/j.ijpe.2016.10.008
  28. 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
  29. Govindan, K., Kannan, D., & Shankar, M. (2014). Evaluation of green manufacturing practices using a hybrid MCDM model combining DANP witch PROMETHEE. International Journal of Production Research, 53(21), 6344–6371. https://doi.org/10.1080/00207543.2014.898865
  30. Götz, O., Liehr-Gobbers, K., & Krafft, M. (2010). Evaluation of structural equation models using the partial least squares (PLS) approach. In V. Esposito Vinzi, W. W. Chin, J. Henseler, & H. Wang (Eds.), Handbook of partial least squares: Concepts, methods and applications (pp. 691–711). Springer. https://doi.org/10.1007/978-3-540-32827-8_30
  31. Hair, J. F., Hult, G. T. M., 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://library.oapen.org/handle/20.500.12657/51463
  32. 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
  33. Hair, J. F., Sarstedt, M., Hopkins, L., & Kuppelwieser, V. G. (2014). Partial least squares structural equation modeling (PLS-SEM): an emerging tool in business research. European Business Review, 26(2), 106–121. https://doi.org/10.1108/EBR-10-2013-0128
  34. Hair, J. F., Sarstedt, M., Ringle, C. M., & Mena, J. A. (2012). An assessment of the use of partial least squares structural equation modeling in marketing research. Journal of the Academy of Marketing Science, 40, 414-433. https://doi.org/10.1007/s11747-011-0261-6
  35. Harland, C., Telgen, J., Callender, G., Grimm, R., & Patrucco, A. (2019). Implementing government policy in supply chains: an international coproduction study of public procurement. Journal of Supply Chain Management, 55(2), 6-25. https://doi.org/10.1111/jscm.12197
  36. 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
  37. Hu, L. T., & Bentler, P. M. (1998). Fit indices in covariance structure modelling: sensitivity to under parameterized model misspecification. Psychological Methods, 3(4), 424. https://doi.org/10.1037/1082-989X.3.4.424
  38. Hu, Y., Bai, W., Farrukh, M., & Koo, C. K. (2023). How does environmental policy uncertainty influence corporate green investments?. Technological Forecasting and Social Change, 189, 122330. https://doi.org/10.1016/j.techfore.2023.122330
  39. Kenny, D. A. (04 de diciembre de 2015). Measuring model fit. https://davidakenny.net/cm/fit.htm
  40. Khan, S. A. R., & Qianli, D. (2017). Impact of green supply chain management practices on firms' performance: an empirical study from the perspective of Pakistan. Environmental Science and Pollution Research, 24(20), 16829–16844. https://doi.org/10.1007/s11356-017-9172-5
  41. Kouhizadeh, M., & Sarkis, J. (2018). Blockchain practices, potentials, and perspectives in greening supply chains. Sustainability, 10(10), 3652. https://doi.org/10.3390/su10103652
  42. Kuei, C. H., Madu, C. N., & Winch, J. K. (2008). Supply chain quality management: a simulation study. International Journal of Information and Management Sciences, 19(1), 131-151. https://www.researchgate.net/publication/228794628_Supply_chain_quality_management_A_simulation_study
  43. Marcoulides, G. A. (1998). Modern methods for business research. Psychology Press. https://doi.org/10.4324/9781410604385
  44. 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
  45. Murtagh, F., & Heck, A. (2012). Multivariate data analysis (Vol. 131). Springer Science & Business Media. https://doi.org/10.1007/978-94-009-3789-5
  46. Negri, M., Cagno, E., Colicchia, C., & Sarkis, J. (2021). Integrating sustainability and resilience in the supply chain: a systematic literature review and a research agenda. Business Strategy and the Environment, 30(7), 2858-2886. https://doi.org/10.1002/bse.2776
  47. Pettit, T. J., Fiksel, J., & Croxton, K. L. (2010). Ensuring supply chain resilience: development of a conceptual framework. Journal of Business Logistics, 31(1), 1–21. https://doi.org/10.1002/j.2158-1592.2010.tb00125.x
  48. 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
  49. Ringle, C. M., Sarstedt, M., Mitchell, R., & Gudergan, S. P. (2020). Partial least squares structural equation modeling in HRM research. The International Journal of Human Resource Management, 31(12), 1617–1643. https://doi.org/10.1080/09585192.2017.1416655
  50. Ringle, C. M., Wende, S., & Becker, J. M. (2015). Boenningstedt: SmartPLS GmbH. Journal of Service Science and Management, 10(3), 32-49.
  51. Sarkis, J. (2020). Supply chain sustainability: learning from the COVID-19 pandemic. International Journal of Operations & Production Management, 41(1), 63–73. https://doi.org/10.1108/IJOPM-08-2020-0568
  52. Sarkis, J., Zhu, Q., & Lai, K. H. (2011). An organizational theoretic review of green supply chain management literature. International Journal of Production Economics, 130(1), 1–15. https://doi.org/10.1016/j.ijpe.2010.11.010
  53. Shafique, M., Asghar, M., & Rahman, H. (2017). The impact of green supply chain management practices on performance: moderating role of institutional pressure with mediating effect of green innovation. Business, Management and Education, 15(1), 91-108. https://www.researchgate.net/publication/318592461_The_Impact_of_Green_Supply_Chain_Management_Practices_on_Performance_Moderating_Role_of_Institutional_Pressure_with_Mediating_Effect_of_Green_Innovation
  54. Teece, D. J. (2007). Explicating dynamic capabilities: the nature and microfoundations of (sustainable) enterprise performance. Strategic Management Journal, 28(13), 1319–1350. https://doi.org/10.1002/smj.640
  55. Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27(3), 425–478. https://doi.org/10.2307/30036540
  56. Wamba, S. F., Akter, S., Edwards, A., Chopin, G., & Gnanzou, D. (2017). How ‘big data’ can make big impact: findings from a systematic review and a longitudinal case study. International Journal of Production Economics, 165, 234–246. https://doi.org/10.1016/j.ijpe.2014.12.031
  57. Wu, S., Gong, G., Huang, X., & Tian, H. (2022). The interaction between suppliers and fraudulent customer firms: evidence from trade credit financing of Chinese listed firms. Journal of Business Ethics, 179(2), 531-550. https://doi.org/10.1007/s10551-021-04832-1
  58. Yang, C. S., Lu, C. S., Haider, J. J., & Marlow, P. B. (2013). The effect of green supply chain management on green performance and firm competitiveness in the context of container shipping in Taiwan. Transportation Research Part E: Logistics and Transportation Review, 55, 55–73. https://doi.org/10.1016/j.tre.2013.03.005
  59. Younis, H., Sundarakani, B., & Vel, P. (2016). The impact of implementing green supply chain management practices on corporate performance. Competitiveness Review, 26(3), 216-245. https://doi.org/10.1108/CR-04-2015-0024
  60. Zailani, S. H. M., Eltayeb, T. K., Hsu, C. C., & Tan, K. C. (2012). The impact of external institutional drivers and internal strategy on environmental performance. International Journal of Operations & Production Management, 32(6), 721–745. https://doi.org/10.1108/01443571211230943
  61. Zeng, H., Li, R. Y. M., & 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
  62. 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