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The impact of COVID-19 on the lives of people and businesses across the globe was devastating. While governments across the world had undertaken a slew of measures to control the spread of the COVID-19 virus within their geography, many of these measures had long and unintended consequences. The restrictions imposed by the governments on the movement of people and goods across the world brought supply chains to a grinding halt. This study identifies the cascading effects of supply chain disruptions (SCDs) on the energy sector and thereby on the security of supply of energy from a European Union perspective. Since these systems are closely integrated and the impact of COVID-19 needs to be analysed at a much broader level, this study uses a systems-thinking approach to study the effect of SCDs on energy services. The study develops a causal loop model to gain further insight into how SCDs caused by COVID-19 affected the coping capabilities of society and how critical services were affected. Furthermore, the study puts forth certain policy recommendations for both businesses and governments to prepare for and protect against a similar situation in the future.

Supply chain structure, characteristics, and applicable policies differ between developing and developed countries. While most supply chain management research is directed toward supply chains in developed countries, the authors wish to explore the financial impact of disruptions on supply chains in a developing country. The purpose of this paper is to highlight the importance of effective supply chain management practices that could help avoid or mitigate disruptions in Indian companies. The authors study the stock market impact of supply chain disruptions in Indian companies. The authors also aim to understand the difference in financial implications from disruptions between companies in India and the USA.

Event study methodology is applied on supply chain disruptions data from Indian companies. The data are compiled from public news release in Indian press. A data set of 301 disruptions for a ten-year period from 2003-2012 is analyzed. Stock valuation of a company is used to assess the financial impact.

The results show that Indian companies on average lose −2.88 percent of shareholder wealth in an 11-day window covering the event day and five days pre- and post-disruption announcement. A significant stock decline was observed as early as three days prior to announcement, indicating possibility of insider trading and information differentials between investors. Irrespective of the location and responsibility of a disruption, companies experience significant negative returns. Company size, book-to-market ratio, and debt-to-equity ratio were found to be insignificant in affecting the stock market reactions to disruptions. The authors also compiled supply chain disruptions data for US companies. When compared to the US companies, Indian companies register a significantly higher stock decline in the event of a disruption.

Supply chain disruptions data from India and the USA are analyzed. Broad applicability of results across countries may require studying other developing countries. The research demonstrates potential effectiveness of investment in supply chain management initiatives. It also motivates research focussed specifically on supply chains in developing countries.

Supply chain decision makers in India could benefit from investment in disruptions management and mitigation practices. The results provide a valuation of effective supply chain management. The findings provide guidance for investors in making decisions when supply chains face disruptions.

The paper studies the financial consequences of supply chain disruptions in a developing country. The study is valuable because of increasing globalization, outsourcing, and the economic role of developing countries.

This research investigates the impact of the strategic sourcing process on the supply chain response to COVID-19. The paper presents practitioners' perspectives (experts in supply chain management, especially involved in the procurement field) on the strategic sourcing process's impact on the supply chain response.

The study follows a survey-based approach for data collection. It uses a descriptive survey methodology where questions related to the impact of the strategic sourcing process on the supply chain response in the face of the coronavirus pandemic were explored by practitioners.

In total, 130 valid responses were obtained. The results showed that the majority of respondents agreed or strongly agreed that strategic sourcing positively impacts the supply chain response amid the COVID-19 effects. Also, for the five phases of the strategic sourcing process, the majority of respondents considered them as a high and very high impact on the supply chain response.

This paper provides timely insights for practitioners and academics, especially those involved in the supply chain management area, showing how the strategic sourcing process plays an important role in making supply chains more responsive amid disruption situations.

Findings of this paper clearly shows the impact of the phases of the strategic sourcing process on the responsiveness of the supply chains amid the COVID-19 pandemic. This can encourage supply chain leadership to devote more time to strategic sourcing initiatives to generate improvements on the supply chain performance.

This paper is unique since it brings an unexplored relation in respect to strategic sourcing amid disruption situations, such as the COVID-19 pandemic, from a practitioner's perspective. It also significantly contributes to developing new directions for the supply chain management domain to deal with large-scale disruptions, such as the coronavirus pandemic.

This study aims to identify several perspectives that affect the adoption of blockchain technology in India (BCTA) and evaluate their impact. To study the sector’s influence on adoption and the impact of BCTA on the performance of the Indian healthcare supply chain (HSCP) using BCTA as a mediating variable.

In this study, we first developed a conceptual model based on Organizational Information Processing Theory and Technology-Organization-Environment, then formulated hypotheses. Based on this, a questionnaire was developed, and data were gathered from experts in the Indian healthcare industry who were familiar with blockchain technology. AMOS 19 was used to analyze data using structural equation modelling.

All the factors have a significant positive influence on BCTA. Healthcare supply chain factors influenced the adoption most dominantly, followed by technological, environmental, organizational and record-keeping unit factors. Both the public and private sectors of HSCP benefited significantly from BCTA.

This research work is fruitful for healthcare practitioners, top management, academicians and policymakers in assessing BCTA’s impact on the HSCP.

We have attempted to evaluate the possible BCTA impact on HSCP. BCTA as a mediating variable and considering different perspectives for a holistic view of adoption in the Indian context add to this work’s originality.

The purpose of this paper is to offer empirical insights on emerging additive manufacturing (AM) processes, barriers to their adoption and a timeline of expected impacts on the supply chain in the manufacturing industry.

A multi-stage survey study was conducted with a panel of 16 experts from industry and academia.

Only five out of today’s seven AM processes are of future importance, as are two emerging key processes. In total, 15 barriers to their adoption are identified, all of which are expected to be gone within ten years. Eight propositions are derived postulating as to whether and when supply chain impacts can be expected in terms of changes to supply chain structure, customer centricity, logistics and supply chain capability.

“Soft” barriers are new to the literature, which has traditionally focused on “technical” barriers. Often-discussed barriers such as production speed and costs do not reflect the true concerns of the research panel. Furthermore, some of the supply chain implications discussed in both the academic literature and the media are found to be unlikely to materialize.

The study summarizes AM processes, technologies, barriers and supply chain implications solicited from experts in the field.

This is one of the first studies to make empirical contributions to a vastly conceptual discussion. It is also the first study to give insights on a timeline for barriers and supply chain implications.

The purpose of this research is to identify the impacts of the country of origin of a franchise chain on its commitment in the destination countries, verifying the institutional particularities between the chains from emerging and developed countries.

The research is descriptive and quantitative and involved 724 franchise chains from 10 countries of origin (Brazil, Russia, India, South Africa, Argentina, USA, Germany, Australia, Spain and Portugal), spread over 174 destination countries, totaling 3,513 cases.

The results indicate that institutional preferences do not vary according to the country of origin of the franchise chain but rather vary according to the destination country.

This paper contributes to institutional theory by identifying a set of characteristics that explains the selection of international markets and the commitment of franchise chains.

The results obtained in the study can help managers of franchise chains to make decisions related to the selection of destination countries for international expansion based on the institutional characteristics of the markets and their compatibility with the objectives of the franchise chains.

Companies in emerging countries internationalize according to different management logics from those of companies from developed countries. Thus, it is possible that the process of selecting countries for internationalization is also based on different criteria that reflect different institutional preferences. The thesis defended in the paper is that market potential is more important to franchisees from emerging markets, whereas contract enforcement is more important to franchisees from developed markets.

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.

This paper aims to provide a starting point to discuss how social enterprises can drive systemic change in terms of social impact through operations and supply chain management.

This paper reviews existing literature and the four papers in this special issue and develops a conceptual framework of how social enterprises and their supply chains create social impact and further enable systematic change.

Our paper finds that social impact and systemic change can be shaped by social enterprises at three different levels of analysis (organization, supply chain and context) and through three enablers (cognitive shift, stakeholder collaboration and scalability). Such dimensions are used to position current literature and to highlight new research directions.

This paper proposes a novel understanding of operations and supply chain management in social enterprises intended as catalysts for systemic change. Based on this premise we distinguish different practices and stakeholders to be considered when studying social impact at different levels. The conceptual framework introduced in the paper provides a new pathway for future research and debate by scholars engaged at the intersection of social impact, sustainable operations and supply chain management.

This paper examines the establishment of supply chain robustness against corruption by utilizing risk interactions.

Based on empirical results from the New Zealand dairy industry, a system dynamics model is established to explore the underlying relationships among variables.

The results show that although certain supply chain risks seem unrelated to corruption, their mitigation would help mitigate the impact of corruption due to risk interactions; and mitigation of some of the risks is more effective in mitigating the impact of corruption. Leverage risks have been defined and identified in this research, which expands the extant knowledge in reducing the impact of corruption on supply chains.

The research illustrates how the impact of corruption can be studied in an integrated way with dairy supply chain SD analysis. It is a pioneering study to mitigate the impact of corruption on supply chains from supply chain robustness.

This paper examines how different configurations of societal impact are pursued by purpose-driven organizations (PDOs) and how these configurations align with the application of varying supply chain design (SCD) practices.

This multi-method study uses quantitative data from 1588 B Corps and qualitative data from 316 B Corps to examine how PDOs align SCD with the pursuit of diverse types of societal impact. The authors first conduct a cluster analysis to group organizations based on the impact they create. Second, qualitative content analysis connects impact with enabling SCD elements.

The analysis of the five identified clusters provides detailed empirical insights on influencers, design decisions and building blocks adopted by PDOs to drive a range of societal impacts. Specifically, the nature of the impact pursued affects (1) whether a PDO will be more influenced by a need in the political environment or an opportunity in the industry environment, (2) the relative importance of the design of social flows versus material flows and (3) the need to develop new relational resources with beneficiaries versus leveraging existing capabilities to manage inter-firm processes.

This study responds to calls to disaggregate different dimensions of societal impact and examines the relationship between SCD and a breadth of sustainability impacts for different stakeholders. In doing so, the authors identify four SCD pathways organizations can follow to achieve specific societal impacts. This study is also the first to employ a supply chain perspective in the study of certified B Corps.