The case for value chain resilience

Linkov, Igor; Carluccio, Savina; Pritchard, Oliver; Bhreasail, Áine Ní; Galaitsi, Stephanie; Sarkis, Joseph; Keisler, Jeffrey M.

doi:10.1108/mrr-08-2019-0353

Cited by 37 publications

(21 citation statements)

References 35 publications

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“…Specifically, by further building on these and other current trends in supply chain resilience analytics modeling and prior work in the field (Hynes et al , 2020; Ivanov and Dolgui, 2020a; Linkov et al , 2020; Mersky et al , 2020; Trump et al , 2020; Linkov et al , 2018) through systematically reviewing not only the academic literature but the corporate pharmaceutical literature, we find that despite burgeoning application of resilience analytics and network science to many fields of supply chains, the vaccine supply chain has largely been approached through the lens of efficiency and risk management in both the academic literature and in practice. For vaccine supply chains to continue to meet demand post disruption, especially in a post-COVID world with increasing network interconnections, pharmaceutical corporations and stakeholders will need to begin to consider resilience, or the lack thereof, as a necessary “risk” to annually report.…”

Section: Conclusion and Recommendationsmentioning

confidence: 99%

Supply chain resilience for vaccines: review of modeling approaches in the context of the COVID-19 pandemic

Golan

Trump

Cegan

et al. 2021

IMDS

Self Cite

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PurposeDespite rapid success in bringing SARS-CoV-2 vaccines to distribution by multiple pharmaceutical corporations, supply chain failures in production and distribution can plague pandemic recovery. This review analyzes and addresses gaps in modeling supply chain resilience in general and specifically for vaccines in order to guide researchers and practitioners alike to improve critical function of vaccine supply chains in the face of inevitable disruptions.Design/methodology/approachSystematic review of the literature on modeling supply chain resilience from 2007 to 2020 is analyzed in tandem with the vaccine supply chain manufacturing literature. These trends are then used to apply a novel matrix analysis to seven Securities and Exchange Commission (SEC) annual filings of pharmaceutical corporations involved in COVID-19 vaccine manufacture and distribution.FindingsPharmaceutical corporations favor efficiency as they navigate regulatory, economic and other threats to their vaccine supply chains, neglecting resilience – absorption, adaptation and recovery from inevitable and unexpected disruptions. However, explicitly applying resilience analytics to the vaccine supply chain and further leveraging emerging network science tools found in the academic literature, such as artificial intelligence (AI), stress tests and digital twins, will help supply chain managers to better quantify efficiency/resilience tradeoffs across all associated networks/domains and support optimal system performance post disruption.Originality/valueThis is the first review addressing resilience analytics in vaccine supply chains and subsequent extension to operational management through novel matrix analyses of SEC Filings. The authors provide analyses and recommendations that facilitate resilience quantification capabilities for vaccine supply chain managers, regulatory agencies and corporate stakeholders and are especially relevant for pandemic response, including application to the SARS-CoV-2 vaccines.

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Section: Conclusion and Recommendationsmentioning

confidence: 99%

Supply chain resilience for vaccines: review of modeling approaches in the context of the COVID-19 pandemic

Golan

Trump

Cegan

et al. 2021

IMDS

Self Cite

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“…For example, managers may optimize manufacturing and other processes with regard to data management efficiency to lower the costs of internal operations. In contrast, business model innovation refers to changing a firm's business model with reference to its value proposition, value creation or value capture (Teece, 2010;Linkov et al, 2020). In this regard, data management efficiency enables various opportunities.…”

Section: Strategic Renewalmentioning

confidence: 99%

Data management efficiency: major opportunities for shared value innovation

Lichtenthaler

2021

MRR

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Purpose This paper aims to underscore major opportunities for shared value innovation based on data management efficiency, which has often been overlooked so far. By integrating prior research about digital transformation, shared value creation, entrepreneurial marketing and the innovation-based view of firm performance, it addresses a major gap in the literature. Design/methodology/approach The innovation-based arguments illustrate how efficient data management may lead to different types of innovation, which provide opportunities for growth and efficiency gains after the coronavirus pandemic. Findings Many companies’ digitalization programs have concentrated on strengthening the efficiency of current business processes. Thus, these initiatives have contributed to the efficiency of traditional analog activities by using data and smart algorithms. In contrast, the efficiency of the underlying data management was largely neglected, but the COVID-19 pandemic has highlighted its importance. To overcome the limited emphasis on sustainability and efficiency in the digital context, this paper focuses on data management efficiency. After detailing this concept, it is linked to the growing literature about creating shared value, and a process segmentation for implementing shared value innovations in the field of digital efficiency is developed. Originality/value The paper extends research into digital transformation by emphasizing that the distinction of effectiveness and efficiency is as relevant in the digital context as in the traditional analog environment. It further provides new insights into creating shared value because it increases the awareness of researchers and managers to consider data management efficiency as a basis for shared value innovation with positive effects on the triple bottom line. The paper also contributes to entrepreneurial marketing research because data management efficiency provides significant opportunities for entrepreneurs, startup firms and innovators in established organizations to develop entirely new markets based on new services, solutions and business models. Finally, the paper deepens the understanding of the innovation-based view of firm performance.

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“…Linkov et al. ( 2020 ) gives a viewpoint on resilience as both a development and supplement of hazard investigation and analyzed uses of the two ideas inside current value chain literature and within supply chain literature. Trump and Linkov ( 2020 ) assembles early thoughts and results from utilization of resilience and versatility investigation to the COVID-19 pandemic.…”

Section: Literature Reviewmentioning

confidence: 99%

Logistics and supply chain management of food industry during COVID-19: disruptions and a recovery plan

Barman

Das

2021

Environ Syst Decis

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An ongoing worldwide pandemic, known as Covid infection 2019 (COVID-19), influences the food supply chains significantly. In the pandemic situation, the movements of the people are restricted due to strict lock-down, and retail shops are closed. The supply of products to the customer is a challenging situation for the food supplier. These disruptions impact the food supply chain system suddenly, and the process can collapse without necessary and immediate actions. In this paper, a direct delivery channel has been used as a recovery strategy to minimize the effects of disruptions in the pandemic situation. In the recovery plan, the manufacturer appoints vendors and delivers the products directly to the customers by introducing multi-delivery channels. We optimize the recovery plan under the profit maximization criteria from the recovery window. Some numerical examples have been illustrated to justify that the developed recovery model can resist the reduction of demand and improve the profit of the system. Also, managerial insights are discussed which help the decision-makers to make an accurate and prompt decision of designing a recovery strategy during COVID-19.

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The case for value chain resilience

Cited by 37 publications

References 35 publications

Supply chain resilience for vaccines: review of modeling approaches in the context of the COVID-19 pandemic

Supply chain resilience for vaccines: review of modeling approaches in the context of the COVID-19 pandemic

Data management efficiency: major opportunities for shared value innovation

Logistics and supply chain management of food industry during COVID-19: disruptions and a recovery plan

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