Accelerating the Digitalization of the Supply Chain: An Empirical Research About COVID-19 Crisis

Accelerating the Digitalization of the Supply Chain: An Empirical Research About COVID-19 Crisis

Mohammed Merimi, Atour Taghipour
Copyright: © 2021 |Pages: 24
DOI: 10.4018/978-1-7998-6874-3.ch001
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Abstract

The chapter proposes ways to improve the digitalization of supply chains during global crises. After a survey conducted on a sample of 49 logistics professionals, the authors find that today it has become necessary to accelerate the deployment of an advanced digitalization of the supply chain as a whole. Due to the problems encountered during pandemic crises throughout history, especially the COVID-19 crisis, and in today's computerized world, it is needed to transform the supply chains towards 100% digital. In order to do that, first the authors need to study the fluctuations in supply and demand during crises in order to understand the general effect of pandemics on the supply chain. Thereafter, it is necessary to adopt and improve the appropriate IT systems, especially to digitalize the interaction between buyers and suppliers. This will change the purchasing contracts because the buyers have more transparency on the situation of their suppliers since access to information is easier in a digital environment where everything is connected.
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Introduction

The Coronavirus is a reminder of the globalization of the outsourcing of activities, the development of collaborative models (Taghipour, 2009), customer and supplier integration (Mbiatem et al., 2018), the continuous search for competitiveness, and the development and research of new technologies. This made the Supply Chain at the same time the real engine for companies, a distinguishing factor face to face of their customers and one of their greatest risks in case of weakness. The COVID-19 pandemic is a health crisis, but its consequences are also economic.

Today's supply chains are highly sophisticated and innovative and are critical to the competitiveness of many organizations. But their global correlations and interactions make them increasingly fragile on a scale of risk, with more potential fading points and a smaller margin of error to reduce business disruptions and delays (Taghipour, 2014a). Efforts over the years to optimize the supply chain to reduce costs, decrease inventory and increase asset utilization have mainly squeezed out the room and flexibility needed to control delays and disruptions. The COVID-19 pandemic crisis demonstrated that many companies are unaware of how fragile they are to global shocks of abundance because of the relationships within their supply chain.

Advantageously, new technologies and techniques are making their approach, greatly improving visibility and clarity throughout the supply chain and promoting greater resilience and agility, without the collective costs associated with traditional risk management approaches (Ren et al., 2016). The traditional view of the linear supply chain and its improvement for organizations is giving way to digital supply networks, where functional silos are broken down within the enterprise and all parties are connected to the entire supply network, allowing for complete visibility, responsiveness, participation, agility and improvement (Taghipour, 2014b). Increasingly, these digital supply networks are generated and created in order to anticipate disruptions and reorganize themselves appropriately to mitigate their impact.

In 2016, a study conducted by GT Nexus and Capgemini revealed that 70% of governments had approached projects related to digital change. The document states that by 2021, the general use of data between suppliers, companies and customers will have evolved considerably. Indeed, the field of supply chain has the characteristic of being strongly divided. Both from the actors' point of view (different providers) and from the IT point of view (each one works with its own application). Excellent communication will therefore allow for simplification and fluidity of the information sharing between the different parties as well as the logistic flows (Tliche et al., 2019). Particularly thanks to techniques that allow real-time monitoring of processes. Thus, what brings us to know the supply problems in connection with the covid-19 crisis, and why it is necessary to accelerate the digitalization of the supply chain?

In this chapter, first, we will review the literature, then present and analyze the results of our questionnaire, the recommendations, and limitations of the study.

Background

Today’s world has faced unprecedented pandemics (Larson and Nigmatulina, 2009), which have had serious negative outcomes on the company as a whole, but also on the efficiency of operations and supply chain (SC) management (OSCM) business models. Such impacts agitators frequently produce ripple effects (Ivanov 2020). While supply chains around the world have already been suffering from pandemics and epidemics, they have recently been severely impacted by an unprecedentedly disruptive pandemic, namely Covid-19 (Boccaletti et al. 2020), which is being investigated as a new type of coronavirus that is highly contagious with destructive consequences (Ivanov and Dolgui 2020).

Key Terms in this Chapter

Supply Chain: A supply chain is defined as the entire process of making and selling commercial goods, including every stage from the supply of materials and the manufacture of the goods through to their distribution and sale. Successfully managing supply chains is essential to any company hoping to compete.

Efficient Supply Chain: An efficient supply chain makes the best use of its resources—financial, human, technological or physical. By doing so minimizes costs for materials and packaging and reduces time wastage.

Data Analysis: Data Analysis is the process of systematically applying statistical and/or logical techniques to describe and illustrate, condense and recap, and evaluate data.

Blockchain: Blockchain technology is most simply defined as a decentralized, distributed ledger that records the provenance of a digital asset.

Digitalization: Digitalization is the use of digital technologies to change a business model and provide new revenue and value-producing opportunities; it is the process of moving to a digital business.

Random Programming: The term random refers to any collection of data or information with no determined order, or is chosen in a way that is unknown beforehand.

Fifth-Generation Wireless (5G): 5G is the latest iteration of cellular technology, engineered to greatly increase the speed and responsiveness of wireless networks.

Empirical Research: Empirical research is defined as any research where conclusions of the study is strictly drawn from concretely empirical evidence.

Resilience: The capability of a strained body to recover its size and shape after deformation caused especially by compressive stress.

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