Enhancing Supply Chain Resilience Through Digital Capabilities

Enhancing Supply Chain Resilience Through Digital Capabilities

Muazu Adeiza Umar
DOI: 10.4018/978-1-6684-5882-2.ch001
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Abstract

The objective of the chapter was to review pertinent literature on the concepts of supply chain resilience and digital capabilities. Further reviews were undertaken to identify the supply chain digital technologies presently in use and to explore the relevance of theoretical underpinnings, where these theories or perspectives attempt to explain the relationships between the constructs. It was concluded that although the digital technologies available in the market to support supply chain resilience are sufficient, the same cannot be said for the underpinning theories, and neither are the concepts under consideration properly grounded in the literature. More work, therefore, needs to be done on the concepts and the theories.
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Introduction

The supply chain has proven to be a remarkable management function in recent times and is the glue that binds the producers of goods and services to their consumers in a firm embrace. Remove the supply chain function from the link, the relationship unravels and the system collapses. It is, therefore, necessary to pay special attention to those factors that could potentially and significantly influence the supply chain of an organization and among nations. The emergence of new digital technologies has enabled the supply chain to be managed more efficiently.

The supply chain can be viewed as a sequence of processes and flows of material and information aimed at meeting the final customer requirements and takes place within and between different supply chain stages. It represents the steps that are necessary to deliver a product or service to customer, and includes the manufacturer and its suppliers, as well as transporters, warehouses, retailers, and consumers. It is becoming a subject of interest, especially as a result of the COVID-19 pandemic (Reeves & Whitaker, 2020). The supply chain environment contains many uncertainties that create vulnerability, thus the need to activate the supply chain resilience concept. Rapid globalization of supply chains has led to increased exposure to supply chain risks that remain faintly fathomed by practitioners; moreover, without accounting for such risks and proper preparation, supply chain collapse remains an eminent possibility for many companies (Sawik, 2020). Hence, the requirement for resilience.

Supply chain resilience is the ability of a supply chain network to withstand disruption and minimize the effects of upheaval on revenues, costs, and customers. Thus, a system to return to its original state or move to a new, more desirable state after being disturbed (Christopher & Peck, 2004). Not only do resilient supply chains help enterprises respond swiftly and effectively to radical economic, technological, and market changes, but they also help enterprises gain a competitive advantage (Dubey et al., 2021; Tukamuhabwa et al., 2015). Lack of supply chain resilience is a nagging problem, and addressing these challenges requires thinking outside of the box. Deploying digital technologies appear to stand out as a potentially viable candidate. However, taking advantage of these technologies would mean that the entities concerned possessed the digital capabilities to support such deployments.

Technology has always played an important role in business operations ever since mankind established a stable society, and one area of research that has stimulated the interests of scholars has been the role played by digitalization on supply chain management (Bigliardi et al., 2022; Marmolejo-Saucedo, 2020; Seyedghorban et al., 2020). Digitally enabled technology is expected to combat any turbulent situation that causes disruptions in supply chains (Nambisan, 2018), and using digital technology, like big data analytics (BDA) and digital infrastructure capabilities, could successfully predict future emergencies (Pettit et al., 2019Wamba et al., 2019). The Internet of Things (IoT), blockchain; machine learning, artificial intelligence (AI), advanced analytics; robots and automation; 3D printing, sensors, the ever-improving internet connectivity, and cloud-based supply chain technologies are examples of digital technologies that could boost supply chain resilience (Dubey et al., 2021; Ju et al., 2021; Zouari et al., 2021). Despite initial efforts to gain new insights about the impact of digital technologies on supply chain resilience, their interplay is not well understood. Thus, some questions on the effect of digital capabilities of an organization on its supply chain resilience remain.

Key Terms in this Chapter

Supply Chain Disruption: This is when, for any number of reasons, there is a break in the supply channel, where a member in the link is unable to perform its assigned task(s) thereby severing the flow of activities from the origin to the destination.

Supply Chain Resilience: This is the capability of a supply chain to adapt to sudden disturbances by maintaining control over its functions and responding well enough to the disturbance so that the system is restored.

Supply Chain: This is the sequence of processes and flows of material and information from one member in the link to another, aimed at meeting the final customer requirements.

Digital Capabilities: This is the ability of an organization to create, and communicate information safely through digital technologies and devices by participants in a network.

Digital Technologies: These are electronic tools and devices that generate, store, and process data.

Digital Transformation: The gradual, though sometimes accelerated, shift from the use of analog technology for organizational operations to the use of information and communication technologies.

Digitalization: This refers to the scheme designed to improve the procedures and practices of an organization by leveraging available digital technologies to increase productivity and profitability while reducing costs.

Theories: The carefully thought-out explanation for observations of the natural world using the scientific method.

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