Procurement system for resilient supply chain amid the COVID-19 pandemic: systematic literature review

Shivajee, Veer; Singh, Rajesh Kumar; Rastogi, Sanjay

doi:10.1108/jgoss-04-2022-0029

Cited by 9 publications

(7 citation statements)

References 136 publications

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“…Organizations with high-risk assessment capabilities are more likely to take a proactive approach to reduce the risk (Bogataj et al, 2016;Hashmi, 2023;Shivajee et al, 2023), whereas low integration and coordination lead to inefficient and poor performance. As the disruption arises, the accompanying uncertainties and ambiguity demand better IPC.…”

Section: Mediator Role Of Supply Chain Risk Managementmentioning

confidence: 99%

Role of information processing and digital supply chain in supply chain resilience through supply chain risk management

Rashid,

Rasheed,

Ngah

et al. 2024

JGOSS

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Purpose Supply chain (SC) management is more challenging than ever. Significantly, the pandemic has provoked global and economic destruction that appeared in the manufacturing industry as a “black swan.” Therefore, the purpose of this study was to examine the role of information processing and digital supply chain in supply chain resilience through supply chain risk management. Design/methodology/approach This study examines SC risk management and resilience from an information processing theory perspective. The authors used data collected from 251 SC professionals in the manufacturing industry, and the authors used a quantitative method to analyze the data. The data was analyzed using partial least squares-structural equation modeling. To confirm the higher-order measurement model, the authors used SmartPLS version 4 software. Findings This study found that information processing capability (disruptive orientation and visibility in high-order) and digital SC significantly and positively affect SC risk management and resilience. Similarly, SC risk management positively mediates the relationship between information processing capability and digital SC. However, information processing capability was found to have a more substantial effect on SC risk management than the digital SC. Research limitations/implications This study has both academic and practical contributions. It contributed to existing information processing theory, and manufacturing firms can improve their performance by proactively responding to SC disruptions by recognizing the pivotal role of study variables in risk management for a resilient SC. Originality/value The conceptual model of this study is based on information processing theory, which asserts that synchronizing information processing capabilities and digital SCs allows a firm to deal with unplanned events. SC disruption orientation and visibility are considered risk controllers as they allow the firms to be more proactive. An integrated model of conceptualizing the disruption orientation, visibility (higher-order) and digital SC with information processing theory makes this research novel.

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Section: Mediator Role Of Supply Chain Risk Managementmentioning

confidence: 99%

Role of information processing and digital supply chain in supply chain resilience through supply chain risk management

Rashid,

Rasheed,

Ngah

et al. 2024

JGOSS

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“…Supply chain disciplines; COVID-19 pandemic; Supply chain disruptions; Epidemic outbreaks; Literature review Spieske et al [39] Improving Shivajee et al [46] Procurement system for resilient supply chain amid the COVID-19 pandemic: systematic literature review…”

Section: Reference Title Topics Reviewed Abstractmentioning

confidence: 99%

Towards strengthening resilience of organizations by risk management tools: A scientometric perspective on COVID‐19 experience in a healthcare and industrial setting

Fabiano,

Guastaferro,

Pettinato

et al. 2024

Can J Chem Eng

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During the COVID‐19 pandemic, the healthcare system and the global supply chain were exposed to an unpredicted event, which increased awareness about the need of more effective strategies to support decision‐making process and to empower safety barriers. In this work, a combined scientometric and systematic review was performed to analyze tools and methodologies able to combine resilience with more traditional risk assessment, learning from the experience posed by the COVID‐19 crisis. Bibliometric and literature content analyses were carried out focusing on resilience management upon the incoming of an unexpected event. The systematic analysis of the methods and models developed on the basis of different pandemic waves provides a natural guide for future research development.

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“…Supply chain challenges, hazards and disruptions are being addressed by building supply chain resilience (Zhou et al ., 2022). Businesses have realized the importance of resilience due to disruption in the supply chain caused by a variety of factors ranging from natural disasters to man-made disasters (Shivajee et al ., 2022; Modgil et al ., 2021a; Wamba et al ., 2020). Environmental changes disrupt the various nodes of a supply chain which can lead to various economic consequences for the firm (Hendricks and Singhal, 2005).…”

Section: Underpinning Elementsmentioning

confidence: 99%

Building artificial intelligence enabled resilient supply chain: a multi-method approach

Singh

Modgil

Shore

2023

JEIM

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PurposeIn the uncertain business environment, the supply chains are under pressure to balance routine operations and prepare for adverse events. Consequently, this research investigates how artificial intelligence is used to enable resilience among supply chains.Design/methodology/approachThis study first analyzed the relationship among different characteristics of AI-enabled supply chain and how these elements take it towards resilience by collecting the responses from 27 supply chain professionals. Furthermore, to validate the results, an empirical analysis is conducted where the responses from 231 supply chain professionals are collected.FindingsFindings indicate that the disruption impact of an event depends on the degree of transparency kept and provided to all supply chain partners. This is further validated through empirical study, where the impact of transparency facilitates the mass customization of the procurement strategy to Last Mile Delivery to reduce the impact of disruption. Hence, AI facilitates resilience in the supply chain.Originality/valueThis study adds to the domain of supply chain and information systems management by identifying the driving and dependent elements that AI facilitates and further validating the findings and structure of the elements through empirical analysis. The research also provides meaningful implications for theory and practice.

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Procurement system for resilient supply chain amid the COVID-19 pandemic: systematic literature review

Cited by 9 publications

References 136 publications

Role of information processing and digital supply chain in supply chain resilience through supply chain risk management

Role of information processing and digital supply chain in supply chain resilience through supply chain risk management

Towards strengthening resilience of organizations by risk management tools: A scientometric perspective on COVID‐19 experience in a healthcare and industrial setting

Building artificial intelligence enabled resilient supply chain: a multi-method approach

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