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The disruption caused by COVID-19 exhorts to reiterate the role of operations and supply chain management (OSCM) in achieving social sustainability. Therefore, the present study aims to develop a conceptual understanding of the OSCM ecosystem's role in enabling the world to accelerate towards social sustainability.

The study uses the integrative review method to achieve the stated objectives. The study first identifies the societal disruptions caused by COVID-19. Then based on dynamic capabilities (DC) theory, stakeholder theory and real-life examples, the study puts forward the stakeholder dynamic capabilities (SDC) view as an approach to overcome these social challenges.

Taking the SDC view, the study identified ten social challenges aggravated by the COVID-19. Response actions for OSCM have been proposed to mitigate these challenges.

The pandemic has brought new challenges to the OSCM to achieve social sustainability. Therefore, the study's proposed response actions aim to assist OSCM managers in leveraging their expertise to do good for society and create a better world. Moreover, the study also provides avenues for future research on the topic.

Based on the SDC view, the study attempts to conceptualise social sustainability for OSCM during a pandemic. The SDC view helps capture internal and external social challenges emerging due to COVID-19 and utilise firms' capabilities to overcome these challenges.

This impact pathways paper identifies drivers and barriers for digital product passport (DPP) applications in electronics supply chains and to derive future research pathways.

Around39 interviews were conducted with three Original Equipment Manufacturers (OEMs) and their suppliers, customers, recycling partners, DPP service providers and an international standards organisation.

The results show the four key drivers for DPP adoption: improved decision-making to transition towards a circular economy, ensuring regulatory compliance, improving transparency across the supply chain and enhancing customer engagement. Four main barriers exist: developing and communicating the business case for DPP adoption, increased need for data, data standards and ensuring interoperability between systems, the extent of implementation effort needed and ensuring data security and integrity.

This is one of the earliest papers to concisely summarise the main drivers and barriers of DPP adoption and present a comprehensive research agenda for operations and supply chain management.

Building resilience in food supply chains is considered vital to tackle disruptions and ensure the availability of food. This study aims to empirically explore how firms operating in food supply chains can develop dynamic capabilities and use digital technologies to address disruption.

A multiple case study methodology was adopted to understand how the firms built resilience by developing dynamic capabilities. Twenty-five semi-structured interviews were conducted with four case companies to gather data across various functional areas (sourcing, operations and logistics).

Results show that knowledge management is a key antecedent to developing dynamic capabilities. The development of such dynamic capabilities − sensing, seizing and transforming, along with the adoption of digital technologies enabled firms to address the disruptions and, hence, build resilience. Resilience is demonstrated in the form of maintaining or improving performance outcomes such as profit, waste reduction, food quality, lead time, efficiency and customer satisfaction.

This is one of the earliest empirical studies that provide insights into how firms operating in food supply chains have built resilience by developing dynamic capabilities through knowledge management practices and, which required the implementation of digital technologies. The study extends dynamic capability theory with the knowledge-based view and develops a novel framework along with a pathway to build resilience.

The purpose of this research is to (1) analyse the effect of customised on-demand 3DP on surgical flow time, its variability and clinical outcomes (2) provide a framework for hospitals to decide whether to invest in 3DP or to outsource.

The research design included interviews, workshops and field visits. Design science approach was used to analyse the impact of the 3D printing (3DP) interventions on specific outcomes and to develop frameworks for hospitals to invest in 3DP, which were validated through further interviews with stakeholders.

Evidence from this research shows that deploying customised on-demand 3DP can reduce surgical flow time and its variability while improving clinical outcomes. Such outcomes are obtained due to rapid development of the anatomical model and surgical guides along with precise cutting during surgery.

We outline multiple opportunities for research on supply chain design and performance assessment for surgical 3DP. Further empirical research is needed to validate the results.

The decision to implement 3DP in hospitals or to engage service providers will require careful analysis of complexity, demand, lead-time criticality and a hospital's own objectives. Hospitals can follow different paths in adopting 3DP for surgeries depending on their context.

The operations and supply chain management community has researched on-demand distributed manufacturing for multiple industries. To the best of our knowledge, this is the first paper on customised on-demand 3DP for surgeries.

Food supply chains (FSCs) are becoming increasingly complex and vulnerable to recall risks due to quality failures. Measures for supply chain risk management can minimize these recall risks. However, this responsibility must be shared by all stakeholders in the chain. This study aims to analyze the roles of different stakeholders in managing risks in the events of food recalls.

A systematic literature review was carried out, and 110 articles were explored to identify risk management actions and to link them to the role of stakeholders involved in FSC recall.

The study found that nine stakeholders were responsible for 25 hazard management actions related to food safety and traceability systems, regulatory and preventive measures, and control and response mechanisms for food recalls in the FSC.

This article contributes to the literature by proposing an explanatory map associating risk management actions to different stakeholders in food recall. The actions were grouped according to whether they were prevention actions to avoid a food recall or contention actions to limit the negative economic effects and maintain the health of the population.

The purpose of this paper is to investigate the impact of internal integration, external integration (EI), and supply chain risk management (SCRM) on manufacturing flexibility, and the moderating effect of SCRM on the relationships between internal and EI, respectively, and manufacturing flexibility.

Using hierarchical regression, data are analyzed from a sample of 343 manufacturing plants in Asia collected in 2013-2014 as part of the International Manufacturing Strategy Survey (IMSS VI).

Internal integration and SCRM have a direct effect on manufacturing flexibility. SCRM moderates the relationship between EI and flexibility.

Further research is needed to generalize beyond the flexibility performance of discrete manufacturing firms in Asia.

To benefit from EI and increase their flexibility performance, manufacturing firms need to implement different mechanisms of SCRM to prevent and deal with supply chain risks including those associated with supply chain integration.

This research contributes to the body of knowledge on the relationships between internal integration, EI, SCRM, and manufacturing flexibility.

The purpose of this paper is to identify challenges faced by industrial firms at different phases of adoption of 3D printing (3DP), and outline how 3DP service providers can help address these challenges.

Separate interview questionnaires for 3DP users and 3DP service providers were used to conduct semi-structured interviews.

The key 3DP adoption challenges are as follows: creating a business case; difficulty in using different materials; optimising the process for specific parts; lack of “plug and play” solutions offered by equipment manufacturers; limited availability of training and educational support; poor end product quality; machine breakdowns; and high cost of maintenance and spare components. Using the theoretical lens of the technology acceptance model, results show a lack of ease of use and technological turbulence impact companies’ decisions to adopt 3DP. 3DP service providers can indeed attempt to alleviate the above challenges faced by customers through providing multiple 3DP services across different stages of adoption.

Future research should examine the role of 3DP equipment manufacturers and design and modeling software solutions providers in improving adoption and how 3DP equipment manufacturers could develop into more integrated service providers as the technology advances.

Service providers can help customers transition to 3DP and should develop a portfolio of services that fits different phases of adoption.

The paper outlines how 3DP service providers can help address customer challenges in adoption of 3DP across different stages of adoption.

The purpose of this paper is to assess the impact of additive manufacturing (AM) implementation on aircraft supply chain (SC) networks. Additive and conventional manufacturing spare part inventory control systems are studied and compared, revealing insights into SC performance.

A leading global commercial airline’s SC network data are used to model the research problem. A system dynamics simulation approach is followed, drawing out insights for managers.

A significant improvement in SC efficiency is observed through the implementation of AM, rendering it a worthwhile investment for global SCs. AM helps to balance inventory levels, and increase responsiveness while decreasing disruptions and carbon emissions in the supply networks.

The paper offers guidance on the adaption of AM in aircraft SCs and AM’s impact on spare part inventory systems.

The study provides robust evidence for making critical managerial decisions on SC re-design driven by a new and disruptive technology. Next-generation SC and logistics will replace the current demand for fulfilling material products by AM machines.

The purpose of this paper is to identify various risk drivers which affect a food processing supply chain and to create a map of how those risk drivers propagate risks through the supply chain and impact important performance measures.

This study involves experts from food processing companies to elucidate the contextual relationships among the risk drivers and between risk drivers and performance measures. This is used to quantify the relationships and to determine the indirect and overall relationships applying Fuzzy Interpretive Structural Modeling.

Three categories of risk drivers which Indian food processing companies need to pay maximum attention to minimize risks are identified. These are supplier dependency and contracting, supplier variability, visibility and traceability and manufacturing disruptions. Analysis shows that collaborating with suppliers and logistics service providers, developing mutually beneficial contracts with them while ensuring that adequate technology investments are made can significantly mitigate risks and consequently improve margins and lead to revenue growth.

This study has been carried out with experts from large food processing companies in India, and hence, the results cannot be generalized across other types of food processing companies.

The proposed methodology can help understand the interrelationships between supply chain risks and between those risks and performance measures. Thus, it can help a food processing company to create business cases for specific supply chain risk mitigation projects.

This study is one of the earliest to create a comprehensive risk propagation map for food processing companies which helps in quantifying the impact the risk drivers have on each other and on performance measures.