Information technologies impact on SC disruption
| Digital twins are a way of creating digital copies of physical things, such as products, processes, or systems, which can help manage supply chain disruptions. They can show how the supply chain works and where the problems are, and they can also evaluate different solutions and see how they affect the supply chain performance. They can use data and algorithms to suggest the best actions to take, and they can also help different people in the supply chain work together and share information | Badakhshan and Ball (2023) |
| Big Data analytics is essential in modern supply chain operations, enhancing disruption management by providing data-driven insights, enabling initiative-taking measures, and improving overall agility and resilience. Organisations can use Big Data to predict and prevent disruptions, identify patterns, forecast demand, optimise processes, and enhance operational efficiency in supply chain management | Wamba et al. (2020), Anshari et al. (2019) |
| ICT plays a critical role in supporting and enhancing supply chain disruption management. It facilitates real-time communication and collaboration among supply chain partners, allowing for swift response to disruptions. ICT tools enable data sharing and visibility across the supply chain, aiding in identifying disruptions early and making informed decisions | Shiralkar et al. (2021), Moons et al. (2019) |
| Artificial Intelligence (AI) offers substantial support and enhancement to supply chain disruption management. AI-powered technologies, such as machine learning and predictive analytics, enable the early detection of disruptions by analysing vast datasets for patterns and anomalies. This allows for initiative-taking decision-making and risk mitigation. By using AI to predict disruptions, optimise inventory levels, reroute shipments, automate tasks, and improve communication, businesses can reduce the risk of disruptions and minimise their impact | Belhadi et al. (2021), Akhtar et al. (2023) |
Digital twin | Digital twins are a way of creating digital copies of physical things, such as products, processes, or systems, which can help manage supply chain disruptions. They can show how the supply chain works and where the problems are, and they can also evaluate different solutions and see how they affect the supply chain performance. They can use data and algorithms to suggest the best actions to take, and they can also help different people in the supply chain work together and share information | |
Big data | Big Data analytics is essential in modern supply chain operations, enhancing disruption management by providing data-driven insights, enabling initiative-taking measures, and improving overall agility and resilience. Organisations can use Big Data to predict and prevent disruptions, identify patterns, forecast demand, optimise processes, and enhance operational efficiency in supply chain management | |
ICT | ICT plays a critical role in supporting and enhancing supply chain disruption management. It facilitates real-time communication and collaboration among supply chain partners, allowing for swift response to disruptions. ICT tools enable data sharing and visibility across the supply chain, aiding in identifying disruptions early and making informed decisions | |
AI | Artificial Intelligence (AI) offers substantial support and enhancement to supply chain disruption management. AI-powered technologies, such as machine learning and predictive analytics, enable the early detection of disruptions by analysing vast datasets for patterns and anomalies. This allows for initiative-taking decision-making and risk mitigation. By using AI to predict disruptions, optimise inventory levels, reroute shipments, automate tasks, and improve communication, businesses can reduce the risk of disruptions and minimise their impact |
Source(s): Authors' own creation