List of identified enablers
| Factor | Sub factor | Reference | Description |
|---|---|---|---|
| Technological | AI and ML for Automation and Prediction | Samad et al. (2023), Liu et al. (2023), Bandara and Buics (2024) | AI/ML algorithms enable predictive planning, demand forecasting, and optimization of logistics operations. They reduce human error, improve decision-making, and enhance operational efficiency across ports and shipping |
| IoT and IIoT Real-Time Monitoring | Samad et al. (2023), Liu et al. (2023), Bandara and Buics (2024), Nayak et al. (2023) | IoT sensors provide real-time visibility of cargo, fleet, and port operations. They improve traceability, reduce losses, and strengthen communication among stakeholders | |
| Blockchain for Secure Data Sharing | Bandara and Buics (2024), Nayak et al. (2023) | Blockchain ensures secure, immutable, and transparent data management. It fosters trust among supply chain partners and supports automation through smart contracts | |
| Cloud Computing for Sustainability | Surucu-Balci et al. (2024) | Cloud solutions provide scalable infrastructure for real-time collaboration and storage. They reduce costs, improve interoperability, and support integration of diverse smart technologies | |
| 5G and Advanced Connectivity | Surucu-Balci et al. (2024) | High-speed connectivity enables seamless communication between systems. 5G reduces latency, improves data transfer, and allows large-scale deployment of IoT and AI applications | |
| Reverse Logistics for Strategies | Nayak et al. (2023), Shoaib et al. (2023) | Reverse logistics enables recycling and reuse, closing the supply chain loop. It supports sustainability goals and strengthens corporate responsibility | |
| Digital Twins | Bandara and Buics (2024) | Digital twins replicate logistics systems in a virtual environment. They allow predictive maintenance, testing of new processes, and proactive risk management | |
| Big Data Analytics | Bandara and Buics (2024) | Big data analytics involves collecting, processing, and analyzing vast amounts of structured and unstructured data from various sources in the supply chain to uncover valuable insights | |
| Environmental | Adoption of ISO 14000/14001 Standards | Shoaib et al. (2023) | ISO certification encourages environmentally responsible operations. However, it functions more as a regulatory requirement than a direct enabler of transformation |
| Use of Green Vehicles to Cut Emissions | Nayak et al. (2023), Shoaib et al. (2023) | Adoption of electric or alternative-fuel vehicles, along with emission-reduction systems, reduces the environmental footprint of maritime logistics | |
| Pollution Control in Logistics Operations | Liu et al. (2023), Shoaib et al. (2023) | Applying emission-reducing technologies in port and logistics operations involves using digitalization, automation, electrification, and renewable energy to minimize fuel consumption and lower carbon emissions from machinery, vehicles, and buildings | |
| Economic | Optimizing Logistics for Cost and Efficiency | Liu et al. (2023), Shoaib et al. (2023) | Streamlining processes to lower costs and improve efficiency includes optimizing cargo handling, reducing waiting times through automated access and real-time data monitoring, and enhancing asset utilization |
| Green port operations to Cut Impact and Costs | Nayak et al. (2023), Shoaib et al. (2023) | Sustainable warehouses and eco-friendly procurement reduce operational costs and environmental impacts. They improve efficiency and create a competitive advantage in international trade | |
| Green Procurement for Sustainable Sourcing | Samad et al. (2023), Shoaib et al. (2023) | Green procurement for sustainable sourcing involves prioritizing the purchase of goods and services that minimize environmental impact throughout their lifecycle, including energy efficiency, recyclability, and ethical practices | |
| Circular Economy Practices | Nayak et al. (2023), Shoaib et al. (2023) | Recycling, reuse, and resource efficiency improve sustainability and reduce waste. These practices also support compliance with environmental regulations and enhance long-term resilience | |
| Ecological | Proper Waste Disposal to Reduce Pollution | Nayak et al. (2023) | Proper waste disposal to reduce pollution involves systematically managing and disposing of waste to prevent environmental contamination, using recycling, safe treatment methods, and compliance with regulations. This minimizes harmful emissions and protects ecosystems while promoting sustainable operational practices |
| Adoption of Eco-Friendly Materials | Nayak et al. (2023) | Adoption of eco-friendly materials means using biodegradable, recyclable, or sustainable alternatives in packaging and logistics processes to reduce environmental impact. These materials help lower landfill waste and decrease pollution, contributing to circular economy goals | |
| Managing Resource Scarcity through Sustainability | Bandara and Buics (2024) | Managing resource scarcity through sustainability focuses on optimizing resource use, recycling, and adopting renewable energy to conserve finite materials and ensure long-term supply chain resilience. This supports environmental stewardship and cost-efficiency | |
| Social | Responding to Consumer Pressure for Green Products | Shoaib et al. (2023) | Growing demand for green logistics practices compels firms to adopt sustainable solutions. This external pressure accelerates the adoption of smart technologies aligned with environmental goals |
| Commitment to Corporate Social Responsibility (CSR) | Nayak et al. (2023) | Commitment to Corporate Social Responsibility (CSR) in logistics involves integrating ethical, social, and environmental concerns into business operations to minimize negative impacts while enhancing community well-being and sustainability. This fosters trust, strengthens brand reputation, and aligns business practices with broader societal values | |
| Stakeholder Collaborations | Shoaib et al. (2023) | Stakeholder collaborations entail working jointly with suppliers, customers, regulators, and communities to promote transparency, innovation, and sustainability across the supply chain. Such partnerships enable shared responsibilities, improved compliance, and collective progress towards efficient and responsible logistics |
| Factor | Sub factor | Reference | Description |
|---|---|---|---|
| Technological | AI and ML for Automation and Prediction | AI/ML algorithms enable predictive planning, demand forecasting, and optimization of logistics operations. They reduce human error, improve decision-making, and enhance operational efficiency across ports and shipping | |
| IoT and IIoT Real-Time Monitoring | IoT sensors provide real-time visibility of cargo, fleet, and port operations. They improve traceability, reduce losses, and strengthen communication among stakeholders | ||
| Blockchain for Secure Data Sharing | Blockchain ensures secure, immutable, and transparent data management. It fosters trust among supply chain partners and supports automation through smart contracts | ||
| Cloud Computing for Sustainability | Cloud solutions provide scalable infrastructure for real-time collaboration and storage. They reduce costs, improve interoperability, and support integration of diverse smart technologies | ||
| 5G and Advanced Connectivity | High-speed connectivity enables seamless communication between systems. 5G reduces latency, improves data transfer, and allows large-scale deployment of IoT and AI applications | ||
| Reverse Logistics for Strategies | Reverse logistics enables recycling and reuse, closing the supply chain loop. It supports sustainability goals and strengthens corporate responsibility | ||
| Digital Twins | Digital twins replicate logistics systems in a virtual environment. They allow predictive maintenance, testing of new processes, and proactive risk management | ||
| Big Data Analytics | Big data analytics involves collecting, processing, and analyzing vast amounts of structured and unstructured data from various sources in the supply chain to uncover valuable insights | ||
| Environmental | Adoption of ISO 14000/14001 Standards | ISO certification encourages environmentally responsible operations. However, it functions more as a regulatory requirement than a direct enabler of transformation | |
| Use of Green Vehicles to Cut Emissions | Adoption of electric or alternative-fuel vehicles, along with emission-reduction systems, reduces the environmental footprint of maritime logistics | ||
| Pollution Control in Logistics Operations | Applying emission-reducing technologies in port and logistics operations involves using digitalization, automation, electrification, and renewable energy to minimize fuel consumption and lower carbon emissions from machinery, vehicles, and buildings | ||
| Economic | Optimizing Logistics for Cost and Efficiency | Streamlining processes to lower costs and improve efficiency includes optimizing cargo handling, reducing waiting times through automated access and real-time data monitoring, and enhancing asset utilization | |
| Green port operations to Cut Impact and Costs | Sustainable warehouses and eco-friendly procurement reduce operational costs and environmental impacts. They improve efficiency and create a competitive advantage in international trade | ||
| Green Procurement for Sustainable Sourcing | Green procurement for sustainable sourcing involves prioritizing the purchase of goods and services that minimize environmental impact throughout their lifecycle, including energy efficiency, recyclability, and ethical practices | ||
| Circular Economy Practices | Recycling, reuse, and resource efficiency improve sustainability and reduce waste. These practices also support compliance with environmental regulations and enhance long-term resilience | ||
| Ecological | Proper Waste Disposal to Reduce Pollution | Proper waste disposal to reduce pollution involves systematically managing and disposing of waste to prevent environmental contamination, using recycling, safe treatment methods, and compliance with regulations. This minimizes harmful emissions and protects ecosystems while promoting sustainable operational practices | |
| Adoption of Eco-Friendly Materials | Adoption of eco-friendly materials means using biodegradable, recyclable, or sustainable alternatives in packaging and logistics processes to reduce environmental | ||
| Managing Resource Scarcity through Sustainability | Managing resource scarcity through sustainability focuses on optimizing resource use, recycling, and adopting renewable energy to conserve finite materials and ensure long-term supply chain resilience. This supports environmental stewardship and cost-efficiency | ||
| Social | Responding to Consumer Pressure for Green Products | Growing demand for green logistics practices compels firms to adopt sustainable solutions. This external pressure accelerates the adoption of smart technologies aligned with environmental goals | |
| Commitment to Corporate Social Responsibility (CSR) | Commitment to Corporate Social Responsibility (CSR) in logistics involves integrating ethical, social, and environmental concerns into business operations to minimize negative impacts while enhancing community well-being and sustainability. This fosters trust, strengthens brand reputation, and aligns business practices with broader societal values | ||
| Stakeholder Collaborations | Stakeholder collaborations entail working jointly with suppliers, customers, regulators, and communities to promote transparency, innovation, and sustainability across the supply chain. Such partnerships enable shared responsibilities, improved compliance, and collective progress towards efficient and responsible logistics |
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