Application and Impact of New Technologies in the Supply Chain Management During COVID-19 Pandemic:  A Systematic Literature Review

Muhammad, Muhammad; Manzoor, Amir

doi:10.35808/ijeba/703

Cited by 3 publications

(5 citation statements)

References 36 publications

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“…For example, Rizvi et al (2021) analysed the use of AI in manufacturing sector, while (Vaishya et al , 2020) studied the application in the field of health-care sector. Muhammad and Manzoor (2021) discussed new digital technologies helped supply chain management during pandemic. In comparison, our findings from numerous angles provide a more comprehensive picture of the pandemic's use of digital technologies.…”

Section: Discussionmentioning

confidence: 99%

“…Muhammad and Manzoor (2021) looked at how emerging technologies were used during the COVID-19 epidemic and how they affected supply chain management. The key technologies used in supply chain management during COVID-19 were blockchain technology, IoT, artificial intelligence, big data analytics, cloud computing, 5 G and smartphone applications, and the use of robots and drones, all of which had a significant impact on supply chain resilience, agility and adaptability.…”

Section: Literature Reviewmentioning

confidence: 99%

“…During the pandemic, most research focus on evaluating either the health care or Manufacturing domains alone, rather than expanding or connecting various disciplines. For example Rizvi et al (2021) only analysed the use of AI in manufacturing sector, while Vaishya et al (2020) only studied the application in the field of health-care sector, and Muhammad and Manzoor(2021) discussed new digital technologies helped supply chain management during pandemic. Thus, the study problem is represented in the following main objective: How are smart technologies and AI used during COVID-19?…”

Section: Research Gapmentioning

confidence: 99%

See 2 more Smart Citations

Artificial Intelligence Adoption in the Post COVID-19 New-Normal and Role of Smart Technologies in Transforming Business: a Review

Agarwal

Swami

Malhotra

2022

JSTPM

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Purpose The purpose of this paper is to give an overview of artificial intelligence (AI) and other AI-enabled technologies and to describe how COVID-19 affects various industries such as health care, manufacturing, retail, food services, education, media and entertainment, banking and insurance, travel and tourism. Furthermore, the authors discuss the tactics in which information technology is used to implement business strategies to transform businesses and to incentivise the implementation of these technologies in current or future emergency situations. Design/methodology/approach The review provides the rapidly growing literature on the use of smart technology during the current COVID-19 pandemic. Findings The 127 empirical articles the authors have identified suggest that 39 forms of smart technologies have been used, ranging from artificial intelligence to computer vision technology. Eight different industries have been identified that are using these technologies, primarily food services and manufacturing. Further, the authors list 40 generalised types of activities that are involved including providing health services, data analysis and communication. To prevent the spread of illness, robots with artificial intelligence are being used to examine patients and give drugs to them. The online execution of teaching practices and simulators have replaced the classroom mode of teaching due to the epidemic. The AI-based Blue-dot algorithm aids in the detection of early warning indications. The AI model detects a patient in respiratory distress based on face detection, face recognition, facial action unit detection, expression recognition, posture, extremity movement analysis, visitation frequency detection, sound pressure detection and light level detection. The above and various other applications are listed throughout the paper. Research limitations/implications Research is largely delimited to the area of COVID-19-related studies. Also, bias of selective assessment may be present. In Indian context, advanced technology is yet to be harnessed to its full extent. Also, educational system is yet to be upgraded to add these technologies potential benefits on wider basis. Practical implications First, leveraging of insights across various industry sectors to battle the global threat, and smart technology is one of the key takeaways in this field. Second, an integrated framework is recommended for policy making in this area. Lastly, the authors recommend that an internet-based repository should be developed, keeping all the ideas, databases, best practices, dashboard and real-time statistical data. Originality/value As the COVID-19 is a relatively recent phenomenon, such a comprehensive review does not exist in the extant literature to the best of the authors’ knowledge. The review is rapidly emerging literature on smart technology use during the current COVID-19 pandemic.

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Section: Discussionmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Section: Research Gapmentioning

confidence: 99%

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Artificial Intelligence Adoption in the Post COVID-19 New-Normal and Role of Smart Technologies in Transforming Business: a Review

Agarwal

Swami

Malhotra

2022

JSTPM

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“…Supply chain analytics play a crucial role in enabling operational supply chain transparency (Zhu et al, 2018). The application of technologies such as blockchain, IoT, artificial intelligence, big data analytics, cloud computing, 5G, and smartphone applications, as well as the use of robots and drones, has substantially impacted supply chain resilience, agility, and adaptability during the COVID-19 pandemic (Muhammad & Manzoor, 2021). Furthermore, the integration of supply chain data analytics with triple-A supply chain strategies has been found to significantly influence postpandemic performance, emphasizing the importance of data analytics in effectively implementing strategies for sustaining company performance amid disruptions caused by COVID-19 (Khan & Piprani, 2022;Abrahams et al, 2024).…”

Section: Supply Chain Analytics and Factors Affecting Itmentioning

confidence: 99%

“…This review will explore the role of analytics in predicting and mitigating the impact of COVID-19 on global supply chains, as well as its implications for supply chain innovation and robustness capability (Shamout, 2019). Additionally, the review will examine the application and impact of new technologies, such as artificial intelligence, big data analytics, and machine learning, in managing supply chain disruptions during the pandemic (Muhammad & Manzoor, 2021;El-Khchine et al, 2018).…”

Section: Introductionmentioning

confidence: 99%

The Impact of COVID-19 on supply chain analytics: A global review

Bankole Ibrahim Ashiwaju,

Israel Osejie Okoduwa,

Jeremiah Olawumi Arowoogun

et al. 2024

World J. Adv. Res. Rev.

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The COVID-19 pandemic has triggered unprecedented disruptions across global supply chains, challenging businesses to reassess and optimize their supply chain analytics strategies. This paper delves into the far-reaching impact of the pandemic on supply chain analytics, providing a comprehensive global review of the challenges, innovations, and transformations that have emerged. The pandemic-induced disruptions have exposed vulnerabilities in traditional supply chain models, prompting organizations to reevaluate their analytics frameworks. The sudden fluctuations in demand, supply chain interruptions, and logistics bottlenecks necessitated a rapid response, pushing companies to leverage advanced analytics to enhance visibility and agility in their supply chain operations. This global review reveals that organizations have increasingly turned to predictive analytics, machine learning, and artificial intelligence to navigate the uncertainties introduced by the pandemic. These technologies have enabled real-time data analysis, forecasting, and scenario planning, empowering businesses to make informed decisions amidst the dynamic and unpredictable nature of the crisis. Moreover, the study highlights the importance of data-driven insights in risk management within the supply chain. Organizations have recognized the need for robust analytics tools to identify, assess, and mitigate risks associated with suppliers, transportation, and geopolitical factors. The integration of analytics into risk management strategies has become imperative for building resilient and adaptable supply chains. The study further explores the emergence of digital twins and blockchain technologies as transformative elements in supply chain analytics. Digital twins provide a virtual representation of the entire supply chain, facilitating simulation and optimization, while blockchain enhances transparency and traceability, crucial for ensuring the integrity of the supply chain. This global review underscores the profound impact of COVID-19 on supply chain analytics, emphasizing the paradigm shift towards data-driven decision-making, advanced technologies, and resilience-building strategies. As businesses continue to navigate the ongoing challenges, the integration of innovative analytics solutions remains pivotal in not only mitigating current disruptions but also in building agile and future-proof supply chains.

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The role of smart technologies in managing supply chain post pandemic: an exploratory scientific procedures and rationales for systematic literature review

Agarwal,

Malhotra,

Swami

2024

JSTPM

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Purpose The COVID-19 pandemic has brought unprecedented disruptions to global supply chains, compelling organizations to reevaluate their strategies for resilience and adaptability. In response, smart technologies (ST) have emerged as integral tools in post-pandemic supply chain management (SCM). This study aims to conduct an exploratory systematic literature review to comprehensively examine the evolving landscape of smart technology adoption in the context of SCM post-pandemic. Design/methodology/approach A systematic literature review has been conducted to examine the potential research contribution or directions in the field of ST and SCM. In total, 240 articles were shortlisted from the SCOPUS database in the chosen field of research. Bibliometric analysis was conducted by using VOSviewer to investigate the research trends in the area of SCM. Findings The review identifies key themes and trends, including supply chain resilience, digital transformation, enhanced visibility, predictive analytics and sustainability considerations. It explores the role of ST in fostering agility, transparency and risk mitigation within supply chains. Furthermore, eight clusters were identified to generate several thematic topics of ST in SCM. The results have evidenced a strong gap related to Industry 5.0 approaches for the supply chain field. A total of 240 publications, including journal articles, have been found in the literature. A total of 37 words, which were grouped in 8 clusters, have been identified in the data analysis. Research limitations/implications By synthesizing the current state of literature, this study provides valuable insights for practitioners, policymakers and researchers seeking to navigate the complexities of post-pandemic SCM in an increasingly digitized and interconnected world. The findings highlight the transformative potential of ST and offer a roadmap for further exploration in this critical domain. Originality/value In this paper, the development path of the field of ST in SCM during the pandemic and the research constructs are presented and potential research directions are based on the bibliometric method.

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Application and Impact of New Technologies in the Supply Chain Management During COVID-19 Pandemic: A Systematic Literature Review

Cited by 3 publications

References 36 publications

Artificial Intelligence Adoption in the Post COVID-19 New-Normal and Role of Smart Technologies in Transforming Business: a Review

Artificial Intelligence Adoption in the Post COVID-19 New-Normal and Role of Smart Technologies in Transforming Business: a Review

The Impact of COVID-19 on supply chain analytics: A global review

The role of smart technologies in managing supply chain post pandemic: an exploratory scientific procedures and rationales for systematic literature review

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