Information technologies impact on SC agility
| IoT contributes to and improves the agility of the supply chain through features such as real-time visibility, data-driven insights, and automation. Employing lot sensors enables the tracking of goods' location, condition, and movement within the supply chain, facilitating swift responses to disruptions, better inventory management, and enhanced decision-making. Furthermore, IoT supports task automation, such as delivery scheduling and equipment monitoring, resulting in resource optimisation and increased operational efficiency | Gupta and Singh (2022), Sarkar et al. (2020), Nozari and Nahr (2022), Tan and Sidhu (2022) |
| Big data supports and enhances supply chain agility by providing real- time insights from vast data sets. Through advanced analytics, organisations can respond rapidly to changing market conditions, optimise inventory, and make informed decisions. Big data's predictive capabilities enable proactive problem-solving, reducing lead times and enhancing supply chain | Maheshwari et al. (2021), Dolgui and Ivanov (2022), Tavera Romero et al. (2021) |
| Information sharing is a crucial aspect of managing supply chain agility. Sharing By communicating with each other quickly and effectively, organisations can better respond to potential disruptions or changes in demand. Various communication channels keep companies in touch with their customers or suppliers and keep them informed about any possible disruptions or changes in the supply chain | Hu (2022), Ramos et al. (2021), Kim and Chai (2017) |
| AI can support and enhance supply chain agility by using data and algorithms to improve the visibility, prediction, and adaptation of supply chains to various sources of uncertainty and change. AI can help monitor and analyse the supply chain performance and environment, simulate, and evaluate different scenarios and solutions, generate recommendations, optimise decisions, and facilitate collaboration and communication among supply chain stakeholders | Dubey et al. (2022), Wong et al. (2022) |
IoT | IoT contributes to and improves the agility of the supply chain through features such as real-time visibility, data-driven insights, and automation. Employing lot sensors enables the tracking of goods' location, condition, and movement within the supply chain, facilitating swift responses to disruptions, better inventory management, and enhanced decision-making. Furthermore, IoT supports task automation, such as delivery scheduling and equipment monitoring, resulting in resource optimisation and increased operational efficiency | |
Big data | Big data supports and enhances supply chain agility by providing real- time insights from vast data sets. Through advanced analytics, organisations can respond rapidly to changing market conditions, optimise inventory, and make informed decisions. Big data's predictive capabilities enable proactive problem-solving, reducing lead times and enhancing supply chain | |
Information sharing | Information sharing is a crucial aspect of managing supply chain agility. Sharing By communicating with each other quickly and effectively, organisations can better respond to potential disruptions or changes in demand. Various communication channels keep companies in touch with their customers or suppliers and keep them informed about any possible disruptions or changes in the supply chain | |
AI | AI can support and enhance supply chain agility by using data and algorithms to improve the visibility, prediction, and adaptation of supply chains to various sources of uncertainty and change. AI can help monitor and analyse the supply chain performance and environment, simulate, and evaluate different scenarios and solutions, generate recommendations, optimise decisions, and facilitate collaboration and communication among supply chain stakeholders |
Source(s): Authors' own creation