Contemporary supply chains are simultaneously confronting two intensifying pressures: the need to absorb and recover from increasingly frequent and severe disruptions, and the obligation to decarbonize operations in line with global climate commitments. Although digital technologies are widely recognized as enablers of both supply chain resilience and environmental sustainability, the two objectives have largely been investigated in separate research streams, leaving the mechanisms through which digitalization jointly advances them poorly understood. This conceptual article develops an integrated framework that treats resilience and low-carbon performance as coupled organizational capabilities of a supply chain and positions digital technology as the enabling and orchestrating layer that connects them. Drawing on the viability perspective and the resilience–sustainability literature, the article articulates four realization mechanisms—sensing and end-to-end visibility, predictive intelligence and scenario planning, dynamic reconfiguration of the network, and coordinated green operations—through which digital technologies generate simultaneous resilience and decarbonization payoffs. It then examines the structural trade-offs between resilience-enhancing redundancy and emission reduction and proposes a multi-level synergistic regulation framework that combines contractual coordination, market-based carbon instruments, and institutional governance to reconcile the two objectives. A set of testable propositions and boundary conditions is advanced to guide future empirical research. The framework contributes to the emerging integration of resilience and sustainability in supply chain research and offers managerial and policy implications for building supply chains that are at once robust and low carbon.

Tianrui Ru. Digital Technologies Enabling a "Resilience–Low-Carbon" Dual-Objective Supply Chain: Realization Mechanisms and Synergistic Regulation. Academic Journal of Business & Management (2026), Vol. 8, Issue 9: 66-73. https://doi.org/10.25236/AJBM.2026.080908.

[1] Christopher, M., & Peck, H. (2004). Building the resilient supply chain. The International Journal of Logistics Management, 15(2), 1–14. 

[2] Dubey, R., Gunasekaran, A., Childe, S. J., Bryde, D. J., Giannakis, M., Foropon, C., Roubaud, D., & Hazen, B. T. (2020). Big data analytics and artificial intelligence pathway to operational performance under the effects of entrepreneurial orientation and environmental dynamism: A study of manufacturing organisations. International Journal of Production Economics, 226, 107599. 

[3] Ghosh, D., & Shah, J. (2015). Supply chain analysis under green sensitive consumer demand and cost sharing contract. International Journal of Production Economics, 164, 319–329. 

[4] Hosseini, S., Ivanov, D., & Dolgui, A. (2019). Review of quantitative methods for supply chain resilience analysis. Transportation Research Part E: Logistics and Transportation Review, 125, 285–307. 

[5] Ivanov, D. (2022). Viable supply chain model: Integrating agility, resilience and sustainability perspectives—lessons from and thinking beyond the COVID-19 pandemic. Annals of Operations Research, 319(1), 1411–1431. 

[6] Ivanov, D. (2023). The Industry 5.0 framework: Viability-based integration of the resilience, sustainability, and human-centricity perspectives. International Journal of Production Research, 61(5), 1683–1695. 

[7] Ivanov, D., & Dolgui, A. (2021). A digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0. Production Planning & Control, 32(9), 775–788. 

[8] Ivanov, D., Dolgui, A., & Sokolov, B. (2019). The impact of digital technology and Industry 4.0 on the ripple effect and supply chain risk analytics. International Journal of Production Research, 57(3), 829–846. 

[9] Ivanov, D., Sokolov, B., & Dolgui, A. (2014). The ripple effect in supply chains: Trade-off 'efficiency-flexibility-resilience' in disruption management. International Journal of Production Research, 52(7), 2154–2172. 

[10] Kouhizadeh, M., Saberi, S., & Sarkis, J. (2021). Blockchain technology and the sustainable supply chain: Theoretically exploring adoption barriers. International Journal of Production Economics, 231, 107831. 

[11] 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. 

[12] 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. 

[13] Ponomarov, S. Y., & Holcomb, M. C. (2009). Understanding the concept of supply chain resilience. The International Journal of Logistics Management, 20(1), 124–143. 

[14] Saberi, S., Kouhizadeh, M., Sarkis, J., & Shen, L. (2019). Blockchain technology and its relationships to sustainable supply chain management. International Journal of Production Research, 57(7), 2117–2135. 

[15] Sarkis, J. (2003). A strategic decision framework for green supply chain management. Journal of Cleaner Production, 11(4), 397–409. 

[16] 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.