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The enormous impact of the COVID-19 pandemic showcases the key role of supply chain risk management (SCRM) in achieving and maintaining business performance, competitiveness and survival in the “new normal”. The purpose of this paper is to explore what impact the COVID-19 pandemic has had and may yet have on supply chains (SCs), which SCRM approaches have proved successful and how logistics service providers (LSPs) have applied the knowledge they have gained to improve their SCRM practices and resilience so as to prepare better for the next major disruption.

This paper combines an extensive literature review with a multiple-case study of 10 internationally operating LSPs and how they have handled the impact of the COVID-19 pandemic so far. To bridge the research-practice gap, this study draws on the dynamic-capabilities view and provide insights that are valuable to both academia and practice.

This study provides empirical evidence on the severe impact of the COVID-19 pandemic on SCs, which has posed several challenges to LSPs. The study identifies eight factors that are critical to the adaptive capabilities of LSPs and, therefore, to their resilience in extreme conditions. The findings of this study show that these factors determine whether an SCRM system is robust and agile enough to allow an LSP to anticipate potential disruption and to respond fast enough when disruption occurs. Specifically, this study finds that robustness and agility demonstrably strengthen business performance, while learning from experience proves key to reconfiguring an SCRM design in response to acute disruption.

This paper is among the first to provide rich, empirical and practically applicable insights into the impact of the COVID-19 pandemic on business in relation to SCRM. These novel insights offer inspiring opportunities for further research.

Despite the growing unforeseen and catastrophic events that disrupt business operations, empirical studies on the impact of operational disruption (OD) on small and medium enterprises' (SMEs) performance dimensions are limited. The study aims to investigate the moderating effect of disruption orientation (DO) and government support (GS) on the relationship between coronavirus disease (COVID-19) OD and SMEs' performance.

Quantitative survey method was used to collect data from 170 SMEs in Nigeria, through hand-delivery questionnaires. Partial least square (PLS) structural equation modeling (SEM) was employed to analyze the data.

The result shows no significant relationship between COVID-19 OD, DO and GS with SMEs' financial performance (FP). However, the relationship between COVID-19 OD and non-financial performance (NFP) is negatively significant. The relationship between DO and NFP is positively significant. DO and GS have insignificant relationship with FP. Finally, DO and GS does not moderate any of the relationships between COVID-19 OD and the dimensions of SMEs' performance.

The result implies that health-related disruptions such as COVID-19 affect only the NFP of SMEs. However, supply chain managers and SMEs are encouraged to adopt DO to enhance NFP of firms.

The current study is the first to evaluate the impact of health-related disruptions on the two major dimensions of SMEs' performance (FP and NFP) by incorporating the moderating role of internal (DO) and external (GS) factors in to a single framework. However, the paper revealed new theoretical and practical knowledge by illuminating the absence of significant relationship between COVID-19 OD and SMEs' FP, implying that COVID-19 disruption does not significantly affect SMEs' FP.

In the early stage of the COVID-19 pandemic, Vietnam imposed many drastic restrictions to curb the outbreak of this virus. Such restrictions interrupted the normal functioning of various economic sectors, including agriculture. This research examined disruptions to agricultural activities, income loss and perceived food insecurity among farm households during the pandemic, and then explored the relationships among these economic factors.

Household data from Vietnam and Generalized Structural Equation Model (GSEM) were used for empirical analysis.

Descriptive analyses found that only a small proportion of farm households suffered from the COVID-19 disruptions to their agricultural activities, a large percentage experienced income loss, and a medium number were worried about their food insecurity. GSEM results also revealed that the COVID-19 disruptions to agricultural activities significantly increased the likelihood of worrying about food insecurity, mediated by income loss.

Due to data limitations, the authors could not use better indicators to define and measure the variables of interest (e.g. COVID-19 disruptions to agricultural activities, income loss and food insecurity). Another similar concern was that our models did not account for unobservables, causing some estimation biases.

This research is among the first attempts that examined the direct and indirect (mediated by income loss) effects of the COVID-19 disruptions to agricultural activities on food insecurity.

This study aims to test the market anomaly of herding behavior driven by the response to supply chain disruptions in extreme market conditions such as those observed during COVID-19. The authors empirically test the response of the capital market participants for B2B firms, resulting in herding behavior.

Using the event study approach based on the market model, the authors test the impact of supply chain disruptions and resultant herding behavior across six sectors and among different B2B firms. The authors used cumulative average abnormal returns (CAAR) and cross-sectional absolute deviation (CSAD) to examine the significance of herding behavior across sectors.

The event study results show a significant effect of COVID-19 due to supply chain disruptions across specific sectors. Herding was detected across the automotive and pharmaceutical sectors. The authors also provide evidence of sector-specific disruption impact and herding behavior based on the black swan event and social learning theory.

The authors examine the impact of COVID-19 on herding in the stock market of an emerging economy due to extreme market conditions. This is one of the first studies analyzing lockdown-driven supply chain disruptions and subsequent sector-specific herding behavior. Investors and regulators should take sector-specific responses that are sophisticated during extreme market conditions, such as a pandemic, and update their responses as the situation unfolds.

Firms in the architectural, engineering, construction and operations (AECO) sector continue undertaking projects in a disruptive environment due to the coronavirus disease 2019 (COVID-19) pandemic. This study aims to explore environmental turbulence in the AECO project delivery space and suggest mechanisms for enhancing resilience against future pandemics.

The study adopts the quantitative approach by administering 110 survey questionnaires to participants comprising project managers, site engineers, quantity surveyors, contractors and subcontractors.

The study identifies 24 COVID-19 disruptions linked to environmental turbulence categorised as scheduling, performance and productivity, project budget, supply chain, resource allocation and technological and regulatory. The study suggested resilient mechanisms for surviving in future pandemics.

This study enhances the understanding of environmental turbulence from the perspective of COVID-19 disruptions in AECO project delivery, while the implementation of the resilient mechanisms improves capability of AECO firms against future pandemics.

Digital transformation in supply chains (SCs) has emerged as one of the most effective ways to minimize SC disruption risks. Given the unprecedented impact of the COVID-19 pandemic on global SCs, this study aims to identify and provide empirical evidence about the drivers of digital SC transformation, considering the interactivity between environmental dynamism, technology, and organizational capabilities during the pandemic era.

Using partial least squares structural equation modeling (PLS-SEM), this study examines 923 firms in Vietnam to ascertain the drivers of digital SC transformation between small- and medium-sized enterprises (SMEs) and large enterprises, based on the technology–organization–environment (TOE) as an overarching framework.

This study finds that greater digital SC transformation adoption could be achieved under the interactivity between the TOE components of firms' technological competencies, learning capabilities, and disruptions in socioeconomic environments due to the COVID-19 pandemic. Moreover, a multigroup analysis shows that the drivers of digital SC transformation differ between SMEs and large enterprises. SMEs were found to be more motivated by the COVID-19 disruption risk when adopting digital SC models.

This study represents an original and novel contribution from Vietnam as an emerging market to the literature on the impact of COVID-19 on the global value chain. Apart from the unique dataset at the firm level, the analysis of interactions between external and internal drivers of digital SC transformation could provide crucial managerial implications for SMEs to survive major disruptions, such as those caused by the COVID-19 pandemic.

The purpose of this paper is to explore the disruptions caused to supply chains by COIVD-19 as well as steps/countermeasures taken by firms to address such disruptions.

This study employs 46 semi-structured interviews with senior managers of the three buying firms, four distribution centers and four supplying firms based in four countries (Pakistan, Sri Lanka, China and India).

Results unveil that manufacturing firms are facing limited production and delays in procuring goods and services, while distribution centres are facing inventory shortages. Furthermore, supplying firms are facing increased lead times amid the COVID-19 outbreak. In addition, each affected entity has employed specific strategies to address these disruptions. For instance, manufacturing firms are refining their production schedules based on the inventory, getting better visibility to their suppliers’ performance and developing new inbound routes to meet the production challenges. They are also assessing the tier-1 supplier’s risk and activating the relationship with secondary suppliers to address the procurement issues. Second, distributors are modifying inventory policies to meet the inventory shortage. Finally, supplying firms are developing alternative outbound logistics to meet the growing demand.

There are some limitations to this study. First, the results of this study cannot be generalized to a wider population. Second, this study explores the interpretations of senior managers based in four Asian countries only.

Our study contributes to the supply chain literature by exploring the disruptions caused by COVID-19 to the supply chain operations. It also contributes to theory and practice by articulating the strategies adopted by firms to address such disruptions. Firms can use the steps highlighted in this study to mitigate the impact of COVID-19 on the supply chain disruptions.

The main aim of this study is to explore the appropriate factors in measuring COVID-19-induced supply chain disruptions and the impact of these disruptions on the economic vulnerability of small-scale farmers in Sri Lanka.

The findings revealed that most of the farmers have continued to cultivate even during the pandemic despite several challenges which affected their economic status. Therefore, it is concluded that COVID-19-induced transportation and demand disruptions exacerbated the economic vulnerability of small-scale farmers over the disruptions in supply and production.

The findings of this study are crucial for formulating novel policies to improve the sustainability of the Sri Lankan agricultural sector and alleviate the poverty level of Agri-communities in the countryside. As farming is a vital sector in the economy, increased attention ought to be given on facilitating farmers with government-encouraged loans or allowances for their financial stability. Further, the respective government authorities should develop programs for importing and distributing adequate quantities of fertilizers among all the farmers at controlled prices so that they can continue their operations without any interruption. Moreover, the government could engage in collaboratively work with private organizations to streamline the Agri-input supply process. There should be a government initiative for critical consideration of the issues of farming families and their continued motivation to engage in agriculture. Thus, farmers' livelihoods and agricultural prosperity could be upgraded through alternative Agri-inputs and marketing strategies, providing financial assistance, encouraging innovative technology, etc.

Despite the significance and vulnerability of the vegetable and fruit sector in Sri Lanka, there is a limitation in the empirical studies conducted on the supply chain disruptions caused by COVID-19 measures and their implications on the farmers' livelihood. Furthermore, previous empirical research has not employed adequate quantitative tools to analyze the situation or appropriate variables in evaluating COVID-19-induced disruptions. Hence, the current study explored the appropriate factors for measuring COVID-19-induced supply chain disruption using exploratory factor analysis. Then, the impact of those factors on the economic vulnerability of the small scale farmers was revealed through the ordinal logistics regression analysis.

This study examines the performance effect of working capital for a large sample of Indian manufacturing firms in light of supply chain disruption, i.e. the COVID-19 pandemic.

This study is based on secondary data collected from the Prowess database on Indian manufacturing firms listed on the Bombay Stock Exchange (BSE) 500. Panel data regression analyses are used to estimate all models. Moreover, this study has employed robust standard errors to consider for heteroscedasticity concerns.

The results challenge the current notion of working capital investment and reveal that higher working capital has a positive and significant impact on firm performance. Further, it highlights that Indian manufacturing firms suffered financially post-COVID-19 as they significantly lack the working capital to run day-to-day operations.

This research contributes to the scant literature by examining the association between working capital financing and firm performance in light of the COVID-19 pandemic, representing typical developing economies like India.

This study aims to test the impact of the coronavirus (Covid-19) pandemic on large firms, with regard to a supply disruption, productivity, customer satisfaction and firm performance.

A cross-sectional survey design and stratified sampling technique were implemented for employee selection and data gathering. Confirmatory factor analysis (CFA) was used to examine the data and model fitness, while the structural equation model was used for hypotheses testing.

The pandemic triggered supply disruptions, but did not significantly impact the productivity of manufacturing firms directly. However, supply disruption positively and significantly impacted productivity. Organisational productivity had no significant impact on customer satisfaction, however, when mediating the relationship between Covid-19 and customer satisfaction, it produces a positive indirect effect. Finally, Covid-19 and supply disruption when mediated by organisational productivity both had negative significant relationships on performance.

Having a unique model, it creates a trail for future researchers to explore further. Though customer satisfaction was expected to be affected by the pandemic, it is interesting to find out that customer satisfaction when mediated by organisational productivity was positively influenced.

Disruptions are inevitable, managers must balance the pursuit of customer satisfaction and productivity so that one does not erode the other. Emphasis must be channelled towards managing the productivity of the firm to maintain customer satisfaction during these uncertain times. Deliberate steps like manufacturing flexibility investments should be initiated.

The first study to examine Covid-19, supply disruption, customer satisfaction, organisational productivity and performance in the Nigerian manufacturing sector.