Management of Sustainable Supply Chains in MNCS: A Comprehensive Analysis of Sustainable Supply Chain Practices

Authors: Ajay Kumar; Dr. Chanchal Kumar
DIN
IJOER-JAN-2025-4
Abstract

The adoption of methods that are referred to as sustainable business practices is something that companies should do in order to maximize profits while simultaneously addressing the social, environmental, and economic aspects of sustainability. There have been a great number of studies that have explored various aspects of supply chain operations. Nevertheless, there is not yet a complete structure that has been provided for the various industries. Specifically, this study tackles this knowledge gap by examining past research that was both empirical and review-based. A comparison is made between the practices and the industries that were researched in order to highlight the current generation of sustainable industries. The classification of the literature that defines future trends is brought up to date in this research, and it provides a new point of view on the sustainable solutions that are being handled by a variety of corporate entities. In the process of working to improve supply chains as a whole, researchers and practitioners alike may be able to gain multiple advantages from this.

Keywords
supply chain management; sustainable supply chains; sustainable practices; industrial classification; factor analysis.
Introduction

As a consequence of the introduction of mobile commerce (M-Commerce) into supply chain management (SCM) systems, there are revolutionary transformations that occur in the methodologies of supply chain management. These alterations enhance communication, decision-making, and relationships with both consumers and suppliers. Efforts to reduce carbon emissions and promote sustainability are also garnering more attention in supply chain management. In today's world, supply chains are also required to take sustainability into consideration. Customers and government agencies are exerting increasing pressure on businesses to behave ethically toward society and the environment. This pressure is expanding faster than ever before. It is possible that supply chain management (SCM) may aid businesses in achieving these standards by enhancing logistics in order to minimize carbon emissions, decreasing waste, and introducing sustainable sourcing techniques. As an example of a corporation that has made a commitment to sustainable sourcing and the reduction of their environmental impact as part of their attempts to fulfill their corporate social responsibility obligations, Unilever is just one example. In addition to being a positive reflection on the firm, this action is also a response to the growing number of consumers who are concerned about the environment.

Engineering Journal IJOER Call for Papers

Conclusion

The management of the supply chain is becoming more important in the context of the efforts that organizations are making to embrace practices and strategies that are based on sustainability. This is because supply chain management includes the conversion of resources from raw materials to finished products and involves the movement of material and energy across the whole value chain. In order to benchmark, share, and enhance the sustainability-based practices of organizations, it is essential to measure sustainability activities, especially those that pertain to supply chain management in manufacturing organizations. Organizations often have a limited focus, which is to improve the economic performance of the company, without concentrating on the environmental elements of the supply chain or the fair distribution of wealth in the supply chain. There is a lack of a measure or metric that can holistically take into consideration the unique dynamics of supply chain, which are agile, inconsistent, and involve multiple levels and partners upstream and downstream, according to the literature. However, there are numerous sustainability indicators and metrics that can be used to measure sustainability.

The factor analysis conducted in this study confirms that sustainable supply chain management can be reliably measured across three dimensions: economic, environmental, and social factors. The high Cronbach's alpha values (all above 0.88) indicate strong internal consistency of the measurement instrument. The KMO value of 0.862 and significant Bartlett's test (p < 0.001) confirm the appropriateness of factor analysis for this dataset. The seven factors extracted explain approximately 72% of the total variance, providing a robust foundation for future research in sustainable supply chain management.

References
  1. Zhu, L. (2020). Optimization and simulation for e-commerce supply chain in the internet of things environment. Complexity, 2020, 1-11. https://doi.org/10.1155/2020/8821128
  2. Xu, M., Ma, S., & Wang, G. (2022). Differential game model of information sharing among supply chain finance based on blockchain technology. Sustainability, 14(12), 7139. https://doi.org/10.3390/su14127139
  3. Sardar, S. and Lee, Y. (2015). Analysis of product complexity considering disruption cost in fast fashion supply chain. Mathematical Problems in Engineering, 2015, 1-15. https://doi.org/10.1155/2015/670831
  4. LeMay, S., Helms, M., Kimball, B., & McMahon, D. (2017). Supply chain management: the elusive concept and definition. The International Journal of Logistics Management, 28(4), 1425-1453. https://doi.org/10.1108/ijlm-10-2016-0232
  5. Li, F., & Kunze, O. (2023). A comparative review of air drones (UAVs) and delivery bots (SUGVs) for automated last mile home delivery. Logistics, 7(2), 21.
  6. Lei, L., DeCandia, L., Oppenheim, R., & Zhao, Y. (2016). Managing supply chain operations. https://doi.org/10.1142/10010
  7. Khan, S., Ling, Y., & Shahzad, S. (2014). Adoption of electronic supply chain management and e-commerce by small and medium enterprises and their performance: a survey of SMEs in Pakistan. American Journal of Industrial and Business Management, 04(09), 433-441. https://doi.org/10.4236/ajibm.2014.49051
  8. Phan, A., Nguyen, H., Nguyen, H., & Matsui, Y. (2019). Effect of total quality management practices and JIT production practices on flexibility performance: empirical evidence from international manufacturing plants. Sustainability, 11(11), 3093. https://doi.org/10.3390/su11113093
  9. Nagranová, M. (2019). Behavioral tendencies of supply chain managers in context of globalization. Proceedings of ERAZ Conference, 39. https://doi.org/10.31410/eraz.s.p.2019.39
  10. Mentzer, J., DeWitt, W., Keebler, J., Min, S., Nix, N., Smith, C., & Zacharia, Z. (2001). Defining supply chain management. Journal of Business Logistics, 22(2), 1-25. https://doi.org/10.1002/j.2158-1592.2001.tb00001.x
  11. Oyewole, A. (2024). Reviewing predictive analytics in supply chain management: applications and benefits. World Journal of Advanced Research and Reviews, 21(3), 568-574. https://doi.org/10.30574/wjarr.2024.21.3.0673
  12. Ni, S., Yan, P., & Liu, Z. (2022). Logistics demand forecast of fresh food e-commerce based on Bi-LSTM model. Journal of Computer and Communications, 10(09), 51-65. https://doi.org/10.4236/jcc.2022.109004
  13. De Angelis, R., Howard, M., & Miemczyk, J. (2018). Supply chain management and the circular economy: towards the circular supply chain. Production Planning & Control, 29(6), 7287. https://doi.org/10.1080/09537287.2018.1449244
  14. Ivankova, G. V., Mochalina, E. P., & Goncharova, N. L. (2020). IoT in logistics. IOP Conference Series: Materials Science and Engineering, 940(1), 012033. https://doi.org/10.1088/1757-899X/940/1/012033.
Article Preview