Manajemen Rantai Pasok Berkelanjutan (Sustainable Supply Chain) dan Kinerja Ekonomi Perusahaan
Published:
2026-08-30Downloads
Abstract
This study aims to synthesise the latest empirical and conceptual evidence regarding the relationship between sustainable supply chain management (SSCM) and corporate economic performance through a systematic literature review. The results indicate that SSCM is generally positively associated with a firm’s economic performance, as measured by accounting metrics (ROA, ROE, operating margin), market metrics (Tobin’s Q, firm value) and operational metrics (cost efficiency, supply chain resilience). This relationship is realised through six key mechanisms: (1) improved cost efficiency and operational productivity through the reduction of waste and resource consumption; (2) enhanced supply chain resilience, which mediates approximately 44 per cent of the total effect of SSCM on long-term viability; (3) increased sales and market share driven by consumer preference for green products; (4) increased corporate value through positive signals of environmental performance to the capital markets, (5) reduced financing constraints, facilitating access to capital at a lower cost, and (6) protection of corporate reputation from regulatory risks, litigation and consumer boycotts. However, the magnitude and significance of SSCM’s impact vary substantially depending on mediating factors such as supply chain resilience, dynamic capabilities and supplier relationship management, as well as moderating factors such as environmental regulatory pressure, green market pressure, top management commitment, national financial development, supply chain digitalisation and industry characteristics. The managerial implications of these findings are that firms need to view SSCM as a long-term strategic investment capable of creating sustainable competitive advantage, rather than merely as a cost burden or compliance obligation; and to maximise economic impact, firms need to develop supporting organisational capabilities whilst aligning their sustainability strategies with the specific institutional and industry contexts in which they operate.
Keywords:
sustainable supply chain management corporate economic performance green supply chain supply chain resilience environmental performance corporate value systematic literature reviewReferences
Dabbous, A., Merhej Sayegh, M., Aoun Barakat, K., & Veglianti, E. (2026). Corporate artificial intelligence readiness and its contribution to supply chain resilience: Insights from complexity theory. International Journal of Production Research, 64(6), 2331–2353. https://doi.org/10.1080/00207543.2025.2578299
Eliyah, E., & Aslan, A. (2025). STAKE’S EVALUATION MODEL: METODE PENELITIAN. Prosiding Seminar Nasional Indonesia, 3(2), Article 2.
Garcia-Herreros, P., Wassick, J. M., & Grossmann, I. E. (2014). Design of Resilient Supply Chains with Risk of Facility Disruptions. Industrial & Engineering Chemistry Research, 53(44), 17240–17251. https://doi.org/10.1021/ie5004174
Golgeci, I., Roscoe, S., Gligor, D. M., & Oh, C. H. (2025). Advancing the sociopolitical view of supply chain management. International Journal of Operations & Production Management, 45(5), 955–984. https://doi.org/10.1108/IJOPM-03-2025-0175
Hao, J., Hildebrandt, A., Morgan, T. R., & Richey, R. G. (2025). The impact of radio frequency identification technology utilization on supply chain transparency and agility dimensions of the responsiveness view. The International Journal of Logistics Management, 37(2), 316–339. https://doi.org/10.1108/IJLM-08-2024-0507
Katsaliaki, K., Galetsi, P., & Kumar, S. (2022). Supply chain disruptions and resilience: A major review and future research agenda. Annals of Operations Research, 319(1), 965–1002. https://doi.org/10.1007/s10479-020-03912-1
Kazancoglu, I., Ozbiltekin-Pala, M., Kumar Mangla, S., Kazancoglu, Y., & Jabeen, F. (2022). Role of flexibility, agility and responsiveness for sustainable supply chain resilience during COVID-19. Journal of Cleaner Production, 362, 132431. https://doi.org/10.1016/j.jclepro.2022.132431
Khan, S. A. R., Sheikh, A. A., Shamsi, I. R. A., & Yu, Z. (2025). The Implications of Artificial Intelligence for Small and Medium-Sized Enterprises’ Sustainable Development in the Areas of Blockchain Technology, Supply Chain Resilience, and Closed-Loop Supply Chains. Sustainability, 17(1), 334. https://doi.org/10.3390/su17010334
Moradlou, H., Skipworth, H., Bals, L., Aktas, E., & Roscoe, S. (2024). Geopolitical disruptions and supply chain structural ambidexterity. International Journal of Operations & Production Management, 45(4), 836–862. https://doi.org/10.1108/IJOPM-11-2023-0915
Shen, Z. M., & Sun, Y. (2023). Strengthening supply chain resilience during COVID-19: A case study of JD.com. Journal of Operations Management, 69(3), 359–383. https://doi.org/10.1002/joom.1161
Syahronny, M. R., & Dewayanto, T. (2024). PENERAPAN TEKNOLOGI ARTIFICIAL INTELLIGENCE DAN BLOCKCHAIN DALAM MENDETEKSI FRAUD PADA PROSES AUDIT: SYSTEMATIC LITERATURE REVIEW. Diponegoro Journal of Accounting, 13(3). https://ejournal3.undip.ac.id/index.php/accounting/article/view/46067
Tedla, W. T., & Mekonen, K. D. (2023). Inheritance-induced familial disputes in north-west Ethiopia: The role of legal-policy gaps and aggravating socio-economic dynamics. Humanities and Social Sciences Communications, 10(1), 92. https://doi.org/10.1057/s41599-023-01558-5
Tiwari, M., Bryde, D. J., Stavropoulou, F., Dubey, R., Kumari, S., & Foropon, C. (2024). Modelling supply chain Visibility, digital Technologies, environmental dynamism and healthcare supply chain Resilience: An organisation information processing theory perspective. Transportation Research Part E: Logistics and Transportation Review, 188, 103613. https://doi.org/10.1016/j.tre.2024.103613
Tsolakis, N., Schumacher, R., Dora, M., & Kumar, M. (2023). Artificial intelligence and blockchain implementation in supply chains: A pathway to sustainability and data monetisation? Annals of Operations Research, 327(1), 157–210. https://doi.org/10.1007/s10479-022-04785-2
Wiriani, E., Maknuni, J., Puspita, E. A., & Masitah, M. (2025). Peran Artificial Intelligence dalam Mitigasi Risiko Transaksi Mobile Banking: Tinjauan Governansi dan Etika Data. Journal of Trends Economics and Accounting Research, 6(1), 103–111. https://doi.org/10.47065/jtear.v6i1.2223
Xu, W., Qin, C., Kang, Y., Yang, Z., & Li, Q. (2026). Digital economy and supply chain resilience. International Review of Economics & Finance, 105, 104848. https://doi.org/10.1016/j.iref.2025.104848
Yuan, Y., Tan, H., & Liu, L. (2023). The effects of digital transformation on supply chain resilience: A moderated and mediated model. Journal of Enterprise Information Management, 37(2), 488–510. https://doi.org/10.1108/JEIM-09-2022-0333
Zamani, E. D., Smyth, C., Gupta, S., & Dennehy, D. (2023). Artificial intelligence and big data analytics for supply chain resilience: A systematic literature review. Annals of Operations Research, 327(2), 605–632. https://doi.org/10.1007/s10479-022-04983-y
Zed, M. (2008). Metode Penelitian Kepustakaan. Yayasan Pustaka Obor Indonesia.
Zeff, S. A. (2013). The objectives of financial reporting: A historical survey and analysis. Accounting and Business Research, 43(4), 262–327. https://doi.org/10.1080/00014788.2013.782237
Zeng, J. (2020). Artificial intelligence and China’s authoritarian governance. International Affairs, 96(6), 1441–1459. https://doi.org/10.1093/ia/iiaa172
Zheng, L. J., Islam, N., Zhang, J. Z., Behl, A., Wang, X., & Papadopoulos, T. (2025). Aligning risk and value creation: A process model of supply chain risk management in geopolitical disruptions. International Journal of Operations & Production Management, 45(5), 1178–1210. https://doi.org/10.1108/IJOPM-03-2024-0271
License
Copyright (c) 2026 Soni Suardi

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.



