A social network analysis approach to estimate export disruption spread in the US during the Covid-19 pandemic: how policy response and industry ties relate

We examine how the Covid-19 pandemic led to the propagation of export disruptions on a state-by-state basis using a social network analysis model. We measure the impact of import disruptions, Covid-related hospitalizations, subsequent policy responses, and structural network effects on economic outcomes. In addition to examining contemporaneous effects, we include lagged policy response variables to determine their effect on disruption recovery trends. Findings suggest that disruptions cluster along shared industry connections. The results are consistent with previous work that shows that non-pharmaceutical policy interventions had limited contemporaneous and medium-term effects on trade flows. © 2023, The Author(s) under exclusive licence to Associazione Amici di Economia e Politica Industriale.

Digitalization of the supply chain: transformation factors

PurposeThere is an increasing interest in the supply chain's digitalization, yet the topic is still in the preliminary stages of academic research. The academic literature has no consensus and is still limited to research assessing the supply chain's digitalization of organizations. This study aims to explore the supply chain digitalization drivers to understand the emerging phenomena. More specifically, the authors devised from the literature the most common factors in assessing the readiness in scaling supply chain digitalization.Design/methodology/approachThis study followed a five-phased systematic literature review (SLR) methodology in this research: designing, analyzing, conducting, writing and assessing the quality of the review. The SLR is beneficial for justifying future research regardless of the complex process that requires dealing with high-level databases, information filtering and relevancies of the content. Through analysis of 347 titles and s and 40 full papers, the authors showed and discussed the supply chain digitalization: transformation factors.FindingsThe results generated three main themes: technology, people and processes. The study also generated ten subthemes/primary drivers for assessing the readiness for supply chain digitalization in organizations: IT infrastructure, cybersecurity systems, digitalization reskilling and upskilling, digitalization culture, top management support, digitalization and innovation strategy, integrated supply chain, digital innovation management, big data management and data analytics and government regulations. The importance of each factor was discussed, and future research agenda was presented.Research limitations/implicationsWhile the key drivers of the supply chain digitalization were identified, there is still a need to study the statistical correlation to confirm the interrelationships among factors. This study is also limited by the articles available in the databases and content extraction.Practical implicationsThis study supports decision-makers in understanding the critical drivers in digitalizing the supply chain. Once these factors are studied and comprehended, managers and decision-makers could better anticipate and allocate the proper resources to embark on the digitalization journey and make informed decisions.Originality/valueThe digitalization of the supply chain is more critical nowadays due to the global disruptions caused by the Coronavirus (COVID-19) pandemic and the surge of organizations moving toward the digital economy. There is a gap between the digital transformation pilot studies and implementation. The themes and factors unearthed in this study will serve as a foundation and guidelines for further theoretical research and practical implications.

Enhancing supply chain resilience in SMEs: the role of business and political ties

PurposeThe COVID-19 pandemic outbreak has created disruptions across the supply chain that are beyond the resources of small and medium-sized enterprises (SMEs) to effectively deal with. This study aims to examine the idea that top managers' business and political ties can play direct roles in enhancing SCR in SMEs during COVID-19 by providing access to valuable resources. The study further investigates integrative capability as an underlying mechanism through which the effects of business and political ties can be transformed into enhanced SCR.Design/methodology/approachResponses from 217 SMEs in the country of Jordan were received via an online survey. The measurement and structural models were tested using the partial least squares structural equation modelling (PLS-SEM) technique.FindingsThe study found that business and political ties are positively related to SCR. However, integrative capability fully mediates the relationship between business ties and SCR, whereas it partially mediates the relationship between political ties and SCR.Research limitations/implicationsThe study examined only the direct and indirect impacts of business and political ties on SCR. It could be extended by exploring the conditions under which they influence SCR.Originality/valueThe study explicates the role of top managers' business and political ties on improving SCR in a developing country context. It further examines the mediating role of integrative capability in the relationships between business and political ties and SCR.

Public transport access to drug treatment before and during COVID-19: Implications for the opioid epidemic.

Public transport disruptions caused by the COVID-19 pandemic had wide-ranging impacts on the ability of individuals to access health care. Individuals with opioid use disorder represent an especially vulnerable population due to the necessity of frequent, supervised doses of opioid agonists. Focused on Toronto, a major Canadian city suffering from the opioid epidemic, this analysis uses novel realistic routing methodologies to quantify how travel times to individuals\220 nearest clinics changed due to public transport disruptions from 2019 to 2020. Individuals seeking opioid agonist treatment face very constrained windows of access due to the need to manage work and other essential activities. We find that thousands of households in the most materially and socially deprived neighbourhoods crossed 30 and 20-minute travel time thresholds to their nearest clinic. As even small changes to travel times can lead to missed appointments and heighten the chances of overdose and death, understanding the distribution of those most impacted can help inform future policy measures to ensure adequate access to care.

When preemptive risk mitigation is insufficient: The effectiveness of continuity and resilience techniques during COVID‐19

The extreme demand volatility caused by corona virus 2019 (COVID‐19) overwhelmed most preemptive measures enacted by firms to mitigate disruptions in their supply chains. This led to the rapid implementation of reactive measures to provide business continuity. The operations and supply chain management literature has grouped these reactive techniques into those that involve the reconfiguration of firm resources and those that involve changes to its decision‐making processes. Unfortunately, little of this work has empirically assessed the efficacy of individual reactive techniques on business continuity after the onset of a disruption such as COVID‐19. The research reported in this paper addresses this gap through an experimental design and discrete‐event simulation to empirically test the impact on firm outcomes of resource reconfiguration techniques versus those related to adaptive decision‐making processes. Data from a canned foods manufacturer is used to populate the simulation and isolate the impact of these reactive changes implemented in March 2020 at the beginning of the COVID‐19 disruption on the attainment of business continuity in the 3 months following the COVID‐19 disruption. The results show that for this company, decision‐making changes—specifically changes to planning process cadence and time horizon—had more impact on business continuity than those focused on resource reconfiguration (increasing capacity through stock keeping unit (SKU) prioritization and increasing the number of shifts). These results, in addition to qualitative data collected from company executives to provide context for the modeling results, are used to provide insights that are generalizable to many firms.

Predicting the effects of supply chain resilience and robustness on COVID-19 impacts and performance: Empirical investigation through resources orchestration perspective.

This study investigates the effects of supply chain (SCRE) and robustness (SCRO) on COVID-19 super disruption impacts and firm's financial performance by mobilizing the resources orchestration theory (ROT) as the main theoretical framework. We adopt structural equation modeling analysis of data collected from 289 French companies. The findings reveal the significantly positive influence of resources orchestration on SCRE and SCRO and the role of the latter in mitigating the pandemic disruption impacts. Notwithstanding, depending on whether the measures are objective or subjective, the effects of SCRE and SCRO on financial performance vary. Overall, this paper presents empirical evidence of the influence of both of SCRE and SCRO on pandemic disruption impacts and financial performance. Furthermore, this research provides insights to guide practitioners and decision makers regarding resources orchestration and the deployment of SCRE and SCRO.

Impact of the COVID-19 pandemic on access to HIV testing and condom use among two-spirit, gay, bisexual, and queer (2SGBQ+) men in Manitoba.

This cross-sectional online survey (n = 347) examined the impact of the COVID-19 pandemic on access to HIV testing and condom use among Two-Spirit, gay, bisexual, and queer (2SGBQ+) men in Manitoba. Logistic regression assessed the relationship between socio-demographics and the impact of COVID-19 on access to HIV testing and condom use. Among those who answered a question on testing (n = 282), 27.7% reported reduced access to HIV testing. Among those who answered questions on condom use (n = 327), 54.4% reported decreased use of condoms. Compared to living in Winnipeg, living in a medium-sized city (Brandon) and in rural and remote areas were both associated with higher odds of reporting reduced access to HIV testing due to COVID-19. Participants who were dating (vs. married or partnered) were significantly more likely to report reduced access to HIV testing, but less likely to report decreased use of condoms, while younger age was associated with decreased use of condoms. Service providers must be prepared to respond to the impact of COVID-19 on HIV testing and condom use among younger, sexually active 2SGBQ + men, as well as those who live in small, rural, and remote areas in Manitoba.

What can stockouts tell us about inflation? Evidence from online micro data

We use a detailed micro dataset on product availability and stockouts to construct a direct high-frequency measure of consumer product shortages during the 2020–2022 pandemic. We document a widespread multi-fold rise in stockouts in nearly all sectors early in the pandemic. Over time, the composition evolved from temporary to more permanently discontinued products, concentrated in fewer sectors. We show that unexpected shocks to stockout levels have significant inflationary effects within three months. These effects are larger and more persistent for imported goods and import-intensive sectors. We develop a model of inventories in a sector facing both demand and cost disturbances, and use the observed joint dynamics of stockouts and prices to show that these effects can be associated with elevated costs of replenishing inventories and higher exposure to trade.

Designing reverse logistics network for healthcare waste management considering epidemic disruptions under uncertainty.

Population growth and recent disruptions caused by COVID-19 and many other man-made or natural disasters all around the world have considerably increased the demand for medical services, which has led to a rise in medical waste generation. The improper management of these wastes can result in a serious threat to living organisms and the environment. Designing a reverse logistics network using mathematical programming tools is an efficient and effective way to manage healthcare waste. In this regard, this paper formulates a bi-objective mixed-integer linear programming model for designing a reverse logistics network to manage healthcare waste under uncertainty and epidemic disruptions. The concept of epidemic disruptions is employed to determine the amount of waste generated in network facilities; and a Monte Carlo-based simulation approach is used for this end. The proposed model minimizes total costs and population risk, simultaneously. A fuzzy goal programming method is developed to deal with the uncertainty of the model. A simulation algorithm is developed using probabilistic distribution functions for generating data with different sizes; and then used for the evaluation of the proposed model. Finally, the efficiency of the proposed model and solution approach is confirmed using the sensitivity analysis process on the objective functions' coefficients.

Systemic risks in supply chains: a need for system-level governance

PurposeGlobal and interconnected supply chains are increasingly exposed to systemic risks, whereby individual failures propagate across firms, sectors and borders. Systemic risks have emerged from the decisions of individual firms, e.g., outsourcing and buffer reduction, and are now beyond their control. This paper aims to identify appropriate approaches to mitigating those risks.Design/methodology/approachSystemic risks require analyzing supply chains beyond a dyadic perspective. This study approaches the problem through the lenses of complex systems and network theories. Drawing on the lessons learned from other systemic-risk-prone systems, e.g. energy and financial networks, both in research and practice, this study analyzes the adequate level of governance to monitor and manage systemic risks in supply chains.FindingsThe authors argue that governance institutions should be mandated to overview and reduce systemic risks in supply chains from the top down, as central bankers do for the financial system. Using firm-level data and tools from network analysis and system dynamics, they could quantify systemic risks, identify risk-prone interconnections in supply chains and design mitigating measures. This top-down approach would complement the bottom-up supply chain management approach and could help insurers design policies for contingent business interruptions.Originality/valueInstead of looking at supply chains purely from the firms' angle, the perspective of insurers and governments is brought in to reflect on the governance of risks.

Just-in-time for supply chains in turbulent times

The Covid-19 pandemic and other recent disruptions in the early 2020s led to sections in the business press blaming just-in-time (JIT) practices for operational failings. Consequently, there are calls for moving away from JIT toward holding more inventory as preparation against future disruptions, which is referred to as just-in-case. The academic community is also divided. Some scholars argue that JIT is not resilient, while others maintain that JIT can continue providing superior performance even with disruptions. Motivated by this debate, we discuss various misconceptions about JIT that underlie this debate. Furthermore, we present different ways to adapt JIT for turbulent environments and argue that companies can improve their supply chain performance if JIT supply chain segments are chosen fittingly—even more so—during disruptions. © 2023 The Authors. Production and Operations Management published by Wiley Periodicals LLC on behalf of Production and Operations Management Society.

Benchmarking for effective services in Nigeria

This chapter assesses the practice of benchmarking in Nigerian libraries, with a focus on academic libraries. Participant observation, questionnaires, and focus group interviews were methods used to establish the situation. Results show that standards are not fully developed and implemented among libraries in the country. Benchmarks are hardly even mentioned. However, there is interest among university librarians in knowing more and implementing benchmarks which can improve the delivery of library services. The inadequate response to COVID-19 is a clear indication of the preparedness of libraries in the country. Prevention of dire effect of future pandemics or disruptions will require intentional preparedness. Nigerian librarians, especially the academic librarians as leaders, must take responsibility for improving on the present situation by taking advantage of their global networking. The regulatory body, Librarians' Registration Council of Nigeria, must also step up in preparing and monitoring the implementation of benchmarks in libraries. © 2023 Elsevier Ltd. All rights reserved.

Supply chain resilience strategies and their impact on sustainability: an investigation from the automobile sector

PurposeThe purpose of this study is to propose a framework comprising supply chain (SC) resilience strategies to handle low-frequency high impact disruptive events. This study also evaluates the impact of SC resilience strategies' implementation on the triple bottom line of SC sustainability.Design/methodology/approachA hybrid three-phased method is proposed to meet the research objectives of this study. In the first phase, this study uses the Delphi technique to select SC resilience strategies and SC sustainability dimensions. In the second phase, the best–worst method is used to assess the relative weights of resilience strategies. Finally, in the third stage, summative Likert scoring is used to understand the impact of SC resilience strategies on the SC sustainability triple bottom line.FindingsThe outcomes reveal that firms give due importance to inter-organizational relationships and supplier nearness for supply continuity. In the sustainability context, the obtained scores proved that resilience strategies have the maximum impact on economic sustainability, followed by environmental sustainability.Research limitations/implicationsTo the best of the authors' knowledge, this is the first study that examines aspects of SC resilience strategies and quantifies their impact on the triple bottom line of SC sustainability. This study is specific to the automobile sector;sectoral diversity may expose similarities and dissimilarities in the approach.Practical implicationsThe outcome establishes that supplier–manufacturer relationships need to be strengthened further to tackle any future uncertainties. Besides, supplier location decisions may also be revisited. The strategies proposed will aid SC managers to make informed decisions to prepare for uncertain events.Originality/valueIn the face of uncertain events, often SCs trade-off sustainability in pursuit of resilience. It manifests that resilience is a prerequisite for SC sustainability. While planning SCs, organizations often choose either sustainability or resilience. Thus, this study acknowledges the need to develop effective SC resilience strategies that are in harmony with the sustainability agenda.

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

PurposeThis study aims to provide a rich learning opportunity from COVID-19 crisis for making resilient supply chain by adopting new strategies for the procurement system.Design/methodology/approachThe systematic literature review has been conducted from the year 2012 to 2022 with the objective of developing procurement system for resilient supply chain. Fifty-four research papers are selected for this study.FindingsThe study exhibits that procurement function makes a significant contribution in creating supply chain resilience in the time of COVID-19 pandemic. The COVID-19 emergency has enforced companies to operate in new ways to face supply chain disruptions. The new strategies and actions appropriate for resilient procurement system have been identified.Research limitations/implicationsThis study is limited to the papers that were indexed in the Scopus database. It has also been limited to the procurement function and supply chain resilience.Practical implicationsThis research highlights strategies for supply chain resilience to improve the business performance in COVID-19 or similar types of crisis.Originality/valueThe originality of this paper is to identify the strategies and new practices followed in procurement function to improve the supply chain resilience. This study suggests directions for future research on the integration of procurement and manufacturing for making resilience in the supply chain.

GDP responses to supply chain disruptions in a post-pandemic era: Combination of DL and ANN outputs based on Google Trends

With the recent Russian-Ukraine conflict, the frequency and intensity of disruptive shocks on major supply chains have risen, causing increasing food and energy security concerns for regulators. That is, the combination of newly available sophisticated deep learning tools with real-time series data may represent a fruitful policy direction because machines can identify patterns without being pre-conditioned calibration thanks to experimental data training. This paper employs Deep Learning (DL) and Artificial Neural Network (ANN) algorithms and aimed predicts GDP responses to supply chain disruptions, energy prices, economic policy uncertainty, and google trend in the US. Sampled data from 2008 to 2022 are monthly wrangled and embed different recession episodes connected to the subprime crisis of 2008, the COVID-19 pandemic, the recent invasion of Ukraine by Russia, and the current economic recession in the US. Both DL and ANN outputs empirically (and unanimously) demonstrated how sensitive monthly GDP variations are to dynamic changes in supply chain performances. Findings identify the substantial role of google trends in delivering a consistent fit to predicted GDP values, which has implications While a comparative discussion over the larger forecasting performance of DL compared to ANN experiments is offered, implications for global policy, decision-makers and firm managers are finally provided. © 2023 Elsevier Inc.

Resilience strategies in coping to disruptions of wheat supply chain caused by the Russia–Ukraine war crisis: case study from an emerging economy

Purpose: The Russia–Ukraine war has disrupted the wheat supply worldwide. Given that wheat is one of the most important agri-food products in the world, it is necessary to pay attention to the wheat supply chain during the global crises. The use of resilience strategies is one of the solutions to face the supply chain disruptions. In addition, there is a possibility of multiple crises occurring in global societies simultaneously. Design/methodology/approach: In this research, the resilience strategies of backup suppliers (BS) and inventory pre-prepositioning (IP) were discussed in order to cope with the wheat supply chain disruptions. Furthermore, the p-Robust Scenario-based Stochastic Programming (PRSSP) approach was used to optimize the wheat supply chain under conditions of disruptions from two perspectives, feasibility and optimality. Findings: After implementing the problem of a real case in Iran, the results showed that the use of resilience strategy reduced costs by 9.33%. It was also found that if resilience strategies were used, system's flexibility and decision-making power increased. Besides, the results indicated that if resilience strategies were used and another crisis like the COVID-19 pandemic occurred, supply chain costs would increase less than when resilience strategies were not used. Originality/value: In this study, the design of the wheat supply chain was discussed according to the wheat supply disruptions due to the Russia–Ukraine war and its implementation on a real case. In the following, various resilience strategies were used to cope with the wheat supply chain disruptions. Finally, the effect of the COVID-19 pandemic on the wheat supply chain in the conditions of disruptions caused by the Russia–Ukraine war was investigated. © 2023, Emerald Publishing Limited.

To concentrate or to diversify the supply base? Implications from the U.S. apparel supply chain during the COVID-19 pandemic

The COVID-19 pandemic resulted in severe supply disruptions and revenue losses, especially for buyers highly dependent on foreign suppliers. Unsurprisingly, scholars and industry experts claim that high dependence on any exchange partner is detrimental to buyers. The literature, however, is ambivalent about whether supply base concentration—the number of sources in a firm's supply base and the degree of importance of each source—benefits or harms buyers. Our study addresses this ambivalence by investigating whether supply base concentration, conceptualized as supplier concentration, supplier country concentration, and carrier concentration, worsens or mitigates the impact of supply disruptions as they unfold over time. We use longitudinal data from ocean bills of lading to examine these relationships in the context of U.S. buyers importing apparel during the COVID-19 pandemic. Our results show that higher pre-disruption supplier concentration and supplier country concentration helped buyers mitigate the impact of supply disruptions related to COVID-19, with diminishing effects once supplier and supplier country concentration exceeded specific inflection points. Conversely, higher pre-disruption carrier diversification helped buyers mitigate the impact of supply disruptions related to COVID-19. Notably, these effects depend on the specific phase of the supply disruption. We discuss implications for research and practice. © 2023 Wiley Periodicals LLC.

A resilient inventory management of pharmaceutical supply chains under demand disruption

Inspired by the global supply chain disruptions caused by the COVID-19 pandemic, we study optimal procurement and inventory decisions for a pharmaceutical supply chain over a finite planning horizon. To model disruption, we assume that the demand for medical drugs is uncertain and shows spatiotemporal variability. To address demand uncertainty, we propose a two-stage optimization framework, where in the first stage, the total cost of pre-positioning drugs at distribution centers and its associated risk is minimized, while the second stage minimizes the cost of recourse decisions (e.g., reallocation, inventory management). To allow for different risk preferences, we propose to capture the risk of demand uncertainty through the expectation and worst-case measures, leading to two different models, namely (risk-neutral) stochastic programming and (risk-averse) robust optimization. We consider a finite number of scenarios to represent the demand uncertainty, and to solve the resulting models efficiently, we propose L-shaped decomposition-based algorithms. Through extensive numerical experiments, we illustrate the impact of various parameters, such as travel time, product's shelf life, and waste due to transportation and storage, on the supply chain resiliency and cost, under optimal risk-neutral and risk-averse policies. These insights can assist decision makers in making informed choices. © 2023 Elsevier Ltd

A Categorization of Resilience: A Scoping Review

The COVID-19 pandemic exposed the existential public health and economic fragilities of the civil aviation industry. To prevent future public health disruptions, the civil aviation industry is gaining interest in becoming more "resilient” but rarely elaborates on its meaning, hampering decision-making and strategy development. When looking into the academic literature it seems that a proliferation of resilience-related concepts occurred. Although enriching resilience, it also dilutes its meaning and reduces its use for practice. This paper aims to create concept clarity regarding resilience by proposing a categorization of resilience. Based upon a scoping review, this categorization dissects resilience into four reoccurring aspects: fragility, robustness, adaptation, and transformation. This categorization is expected to support sensemaking in disruptive times while assisting decision-making and strategy development on resilience. When applying this categorization in the civil aviation and public health context, the transformative aspect seems underused. Further research will focus on maturing the categorization of resilience and its use as a sensemaking tool.

Review of Supply Chain Management Operational Resilience, Risk, and Disruption in COVID-19 Pandemic

The largest and most significant disruption to the world's supply chain networks recently was brought on by the COVID-19 pandemic. Supply chain networks are facing unprecedented pressure to reassess their resilience although risks and disasters occur more frequently. Recent years have seen significant research on supply chain management and its importance to firm performance. Resilient supply chain management has been analyzed and explained using a variety of managerial theories. Thus, we can lay the groundwork for future supply chain resilience research by identifying trends in previous studies. Although a sizable amount of literature on resilient supply networks, only a small number of studies have gone in-depth. This article analyses supply chain management research. Based on a literature study, the amount of research on SCM theory and practice has dramatically expanded during the previous ten years. The current analysis identified the major themes, significant literature, and significant authors in supply chain resilience studies. Additional research in other sectors connected to supply chain resilience is anticipated to benefit from these findings. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.