Ir al menú de navegación principal Ir al contenido principal Ir al pie de página del sitio
Repositorio de la Red Internacional de Investigadores en Competitividad

Responsabilidad social, sustentabilidad y equidad de género

Vol. 18 (2024): Sinergias del liderazgo mundial: fomento del crecimiento inclusivo, innovación en la IA, nearshoring y competitividad

SG Framework and Sustainable Supply Chain Management Competitiveness: A Structural Equation Model

Enviado
marzo 27, 2025
Publicado
2025-07-01

Resumen

Esta investigación tiene como objetivo desarrollar un modelo conceptual que revise la relación entre practicas medio ambientales, sociales y de governanza corporativa (ESG) y su impacto en la competitividad de la cadena de suministro (SCC). Las practicas como colaboración, innovación, comunicación, agilidad y flexibilidad como constructos mediadores. El marco ESG es la medida más utilizada en la actualidad relacionada con la sustentabilidad pero ha sido poco utilizada en la cadena de suministro. Se diseño un modelo de Ecuaciones Estructurales con el enfoque de Mínimos Cuadrados Parciales (SEM-PLS) como aportación a esta limitante. Los modelos SEM-PLS sin técnicas estadísticas ampliamente utilizadas en ciencias sociales, en ambientes altamente complejos
 y en investigaciones exploratorias. Los principales hallazgos muestran que la implementación continua de practicas ESG en operaciones de la cadena de suministro influencian la sustentabilidad y mejora la competitividad de la cadena de suministro, beneficiando stakeholders, inversionistas y consumidores precoupados por contingencias medioabientales.

Citas

  1. Ahn, H., Jung, H., Ahn, B., & Rhee, S. (1999). Supply chain competitiveness and capabilities of constituent firms: an exploratory study of the Korean home appliance industry. Supply Chain Management: An International Journal, 4(5), 242–253. https://doi.org/10.1108/13598549910294993
  2. Azadegan, A., & Dooley, K. (2021). A Typology of Supply Network Resilience Strategies:Complex Collaborations in a Complex World. Journal of Supply Chain Management, 57(1), 17–26. https://doi.org/10.1111/jscm.12256
  3. Badri Ahmadi, H., Hashemi Petrudi, S. H., & Wang, X. (2017). Integrating sustainability into supplier selection with analytical hierarchy process and improved grey relational analysis: a case of telecom industry. The International Journal of Advanced Manufacturing Technology, 90(9–12), 2413–2427. https://doi.org/10.1007/s00170-016-9518-z
  4. Bhatnagar, R., & Sohal, A. S. (2005). Supply chain competitiveness: measuring the impact of location factors, uncertainty and manufacturing practices. Technovation, 25(5), 443–456. https://doi.org/10.1016/j.technovation.2003.09.012
  5. Chen, P., & Dagestani, A. A. (2023). Greenwashing behavior and firm value – From the perspective of board characteristics. Corporate Social Responsibility and Environmental Management, 30(5), 2330–2343. https://doi.org/10.1002/csr.2488
  6. Cherrafi, A., Garza-Reyes, J. A., Kumar, V., Mishra, N., Ghobadian, A., & Elfezazi, S. (2018). Lean, green practices and process innovation: A model for green supply chain performance. International Journal of Production Economics, 206, 79–92. https://doi.org/10.1016/j.ijpe.2018.09.031
  7. Chin, W., Cheah, J.-H., Liu, Y., Ting, H., Lim, X.-J., & Cham, T. H. (2020). Demystifying the role of causal-predictive modeling using partial least squares structural equation modeling in information systems research. Industrial Management & Data Systems, 120(12), 2161–2209. https://doi.org/10.1108/IMDS-10-2019-0529
  8. Ciavolino, E., Aria, M., Cheah, J.-H., & Roldán, J. L. (2022). A tale of PLS Structural Equation Modelling: Episode I— A Bibliometrix Citation Analysis. Social Indicators Research, 164(3), 1323–1348. https://doi.org/10.1007/s11205-022-02994-7
  9. Cohen, J. (2013). Statistical Power Analysis for the Behavioral Sciences. Routledge. https://doi.org/10.4324/9780203771587
  10. Cole, D. A., & Preacher, K. J. (2014). Manifest variable path analysis: Potentially serious and misleading consequences due to uncorrected measurement error. Psychological Methods, 19(2), 300–315. https://doi.org/10.1037/a0033805
  11. Dai, T., & Tang, C. (2022). Frontiers in Service Science: Integrating ESG Measures and Supply Chain Management: Research Opportunities in the Postpandemic Era. Service Science, 14(1), 1–12. https://doi.org/10.1287/serv.2021.0295
  12. Diamantopoulos, A., Sarstedt, M., Fuchs, C., Wilczynski, P., & Kaiser, S. (2012). Guidelines for choosing between multi-item and single-item scales for construct measurement: a predictive validity perspective. Journal of the Academy of Marketing Science, 40(3), 434–449.
  13. https://doi.org/10.1007/s11747-011-0300-3
  14. Dubey, R., Altay, N., Gunasekaran, A., Blome, C., Papadopoulos, T., & Childe, S. J. (2018). Supply chain agility, adaptability and alignment. International Journal of Operations & Production Management, 38(1), 129–148. https://doi.org/10.1108/IJOPM-04-2016-0173
  15. Febransyah, A., & Camelia Goni, J. I. (2022). Measuring the supply chain competitiveness of ecommerce industry in Indonesia. Competitiveness Review: An International Business Journal, 32(2), 250–275. https://doi.org/10.1108/CR-05-2020-0059
  16. Ferriani, F., & Natoli, F. (2021). ESG risks in times of Covid-19. Applied Economics Letters, 28(18), 1537–1541. https://doi.org/10.1080/13504851.2020.1830932
  17. Flynn, B., Cantor, D., Pagell, M., Dooley, K. J., & Azadegan, A. (2021). From the Editors: Introduction to Managing Supply Chains Beyond Covid‐19 ‐ Preparing for the Next Global MegaDisruption. Journal of Supply Chain Management, 57(1), 3–6.
  18. https://doi.org/10.1111/jscm.12254
  19. Gawusu, S., Zhang, X., Jamatutu, S. A., Ahmed, A., Amadu, A. A., & Djam Miensah, E. (2022). The dynamics of green supply chain management within the framework of renewable energy. International Journal of Energy Research, 46(2), 684–711. https://doi.org/10.1002/er.7278
  20. Gremyr, I., & Halldorsson, A. (2021). Guest editorial. Supply Chain Management: An International Journal, 26(3), 297–306. https://doi.org/10.1108/SCM-05-2021-599
  21. Haenlein, M., & Kaplan, A. M. (2004). A Beginner's Guide to Partial Least Squares Analysis. Understanding Statistics, 3(4), 283–297. https://doi.org/10.1207/s15328031us0304_4
  22. Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2017). A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM). SAGE Publications Inc.
  23. Hair, J. F., Hult, G. T. M., Ringle, C. M., Sarstedt, M., Danks, N. P., & Ray, S. (2021). Partial Least Squares Structural Equation Modeling (PLS-SEM) Using R. Springer International Publishing. https://doi.org/10.1007/978-3-030-80519-7
  24. Hair, J. F., Risher, J. J., Sarstedt, M., & Ringle, C. M. (2019). When to use and how to report the results of PLS-SEM. In European Business Review (Vol. 31, Issue 1, pp. 2–24). Emerald Group Publishing Ltd. https://doi.org/10.1108/EBR-11-2018-0203
  25. Hair Jr, J., Sarstedt, M., Hopkins, L., & G. Kuppelwieser, V. (2014). Partial least squares structural equation modeling (PLS-SEM).
  26. European Business Review, 26(2), 106–121. https://doi.org/10.1108/EBR-10-2013-0128
  27. Henseler, J., Ringle, C. M., & Sarstedt, M. (2015). A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the Academy of Marketing Science, 43(1), 115–135. https://doi.org/10.1007/s11747-014-0403-8
  28. Hernández‐Espallardo, M., Rodríguez‐Orejuela, A., & Sánchez‐Pérez, M. (2010). Inter-organizational governance, learning and performance in supply chains. Supply Chain Management: An International Journal, 15(2), 101–114.
  29. https://doi.org/10.1108/13598541011028714
  30. Khatri, J., & Srivastava, M. (2016). Technology selection for sustainable supply chains. International Journal of Technology Management & Sustainable Development, 15(3), 275–289. https://doi.org/10.1386/tmsd.15.3.275_1
  31. Khojastehpour, M., & Shams, S. M. R. (2020). Addressing the complexity of stakeholder management in international ecological setting: A CSR approach. Journal of Business Research, 119, 302–309. https://doi.org/10.1016/j.jbusres.2019.05.012
  32. Khompatraporn, C., & Somboonwiwat, T. (2017). Causal factor relations of supply chain competitiveness via fuzzy DEMATEL method for Thai automotive industry. Production Planning & Control, 28(6–8), 538–551. https://doi.org/10.1080/09537287.2017.1309713
  33. Kiwala, Y., Olivier, J., & Kintu, I. (2023). Antecedents and enablers of supply chain value creation: An analysis of trust and competences. Development Southern Africa, 40(3), 580–598. https://doi.org/10.1080/0376835X.2022.2029356
  34. Koberg, E., & Longoni, A. (2019). A systematic review of sustainable supply chain management in global supply chains. Journal of
  35. Cleaner Production, 207, 1084–1098. https://doi.org/10.1016/j.jclepro.2018.10.033
  36. Kros, J. F., Kirchoff, J. F., & Falasca, M. (2019). The impact of buyer-supplier relationship quality and information management on industrial vending machine benefits in the healthcare industry. Journal of Purchasing and Supply Management, 25(3), 100506.
  37. https://doi.org/10.1016/j.pursup.2018.06.005
  38. Lagorio, A., Zenezini, G., Mangano, G., & Pinto, R. (2022). A systematic literature review of innovative technologies adopted in logistics management. International Journal of Logistics Research and Applications, 25(7), 1043-1066.https://doi.org/10.1080/13675567.2020.1850661
  39. Lam, J. S. L., & Lai, K. (2015). Developing environmental sustainability by ANP-QFD approach: the case of shipping operations. Journal of Cleaner Production, 105, 275–284. https://doi.org/10.1016/j.jclepro.2014.09.070
  40. Macbeth, D. (1990). Extended Supply Chains. The TQM Magazine, 2(1). https://doi.org/10.1108/EUM0000000003015
  41. Marchi, B., Ries, J. M., Zanoni, S., & Glock, C. H. (2016). A joint economic lot size model with financial collaboration and uncertain investment opportunity. International Journal of Production Economics, 176, 170–182. https://doi.org/10.1016/j.ijpe.2016.02.021
  42. Meng, C. T. (2024). Evaluating Sustainable Practices in Supply Chains: A Conceptual Framework for ESG Performance Assessment. Supply Chain and Sustainability Research: SCSR, 2(1), 50–62.
  43. Mohammad, W. M. W., & Wasiuzzaman, S. (2021). Environmental, Social and Governance (ESG) disclosure, competitive advantage and performance of firms in Malaysia. Cleaner Environmental Systems, 2, 100015. https://doi.org/10.1016/j.cesys.2021.100015
  44. Monecke, A., & Leisch, F. (2012). semPLS: Structural Equation Modeling Using Partial Least Squares. In JSS Journal of Statistical Software (Vol. 48). http://www.jstatsoft.org/
  45. Mukhtar, U., & Azhar, T. M. (2020). Inter-functional Coordination to Co-create Value Within Integrated Value Chains for Competitive Supply Chain. Operations and Supply Chain Management: An International Journal, 11–22. https://doi.org/10.31387/oscm0400249
  46. Park, J., Choi, W., & Jung, S.-U. (2022). Exploring Trends in Environmental, Social, and Governance Themes and Their Sentimental Value Over Time. Frontiers in Psychology, 13. https://doi.org/10.3389/fpsyg.2022.890435
  47. Rajeev, A., Pati, R. K., Padhi, S. S., & Govindan, K. (2017). Evolution of sustainability in supply chain management: A literature review. Journal of Cleaner Production, 162, 299–314. https://doi.org/10.1016/j.jclepro.2017.05.026
  48. Rajesh, R. (2020). Exploring the sustainability performances of firms using environmental, social, and governance scores. Journal of
  49. Cleaner Production, 247,119600.https://doi.org/10.1016/j.jclepro.2019.119600
  50. Sarker, S., Rashidi, K., Gölgeci, I., Gligor, D. M., & Hsuan, J. (2022). Exploring pillars of supply chain competitiveness: insights from leading global supply chains. Production Planning and Control. https://doi.org/10.1080/09537287.2022.2145246
  51. Shmueli, G., Ray, S., Velasquez Estrada, J. M., & Chatla, S. B. (2016). The elephant in the room: Predictive performance of PLS models. Journal of Business Research, 69(10), 4552–4564. https://doi.org/10.1016/j.jbusres.2016.03.049
  52. Shmueli, G., Sarstedt, M., Hair, J. F., Cheah, J.-H., Ting, H., Vaithilingam, S., & Ringle, C. M. (2019). Predictive model assessment in PLS-SEM: guidelines for using PLSpredict. European
  53. Journal of Marketing, 53(11), 2322–2347. https://doi.org/10.1108/EJM-02-2019-0189
  54. Song, H., & Ranjan Chatterjee, S. (2010). Achieving global supply‐chain competitiveness. Chinese Management Studies, 4(2), 101–118. https://doi.org/10.1108/17506141011053041
  55. Stan, S. E., Țîțu, M.-A., Mănescu, G., Ilie, F. V., & Rusu, M. L. (2023). Measuring Supply Chain Performance from ESG Perspective. International Conference KNOWLEDGE-BASED ORGANIZATION, 29(1), 180–189. https://doi.org/10.2478/kbo-2023-0026
  56. Taplin, I. M. (2014). Global Commodity Chains and Fast Fashion: How the Apparel Industry Continues Re-Invent Itself. Competition & Change, 18(3), 246–264.https://doi.org/10.1179/1024529414Z.00000000059
  57. Tukamuhabwa, B. R., Stevenson, M., Busby, J., & Zorzini, M. (2015). Supply chain resilience: definition, review and theoretical foundations for further study. International Journal of Production Research, 53(18), 5592–5623. https://doi.org/10.1080/00207543.2015.1037934
  58. United Nations. (2004). Who Cares Wins.
  59. Verma, A. (2011). A Conceptual Framework for Supply Chain Competitiveness Manufacturer Suppliers Distributors Material Flow Information.https://www.researchgate.net/publication/248398754
  60. Viardot, E., & Nylund, P. A. (2017). Conquering the Digital Customer (pp. 334–354). https://doi.org/10.4018/978-1-5225-2139-6.ch016
  61. Whitelock, V. G. (2019). Multidimensional environmental social governance sustainability framework: Integration, using a purchasing, operations, and supply chain management context. Sustainable Development, 27(5), 923–931. https://doi.org/10.1002/sd.1951
  62. Yang, L. (2023). An environmental, social, and governance strategic model for managing pharmaceutical supply chains with financial obstacles. Decision Analytics Journal, 7, 100203. https://doi.org/10.1016/j.dajour.2023.100203
  63. Yawar, S. A., & Seuring, S. (2017). Management of Social Issues in Supply Chains: A Literature Review Exploring Social Issues, Actions and Performance Outcomes. Journal of Business Ethics, 141(3), 621–643. https://doi.org/10.1007/s10551-015-2719-9
  64. Zawislak, P. A., Reichert, F. M., Barbieux, D., Avila, A. M. S., & Pufal, N. (2023). The dynamic chain of innovation: bounded capabilities and complementarity in agribusiness. Journal of Agribusiness in Developing and Emerging Economies, 13(5), 657–670. https://doi.org/10.1108/JADEE-04-2021-0096
  65. Zhou, G., Liu, L., & Luo, S. (2022). Sustainable development, ESG performance and company market value: Mediating effect of financial performance. Business Strategy and the Environment, 31(7), 3371–3387. https://doi.org/10.1002/bse.3089