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This paper aims to examine the relationship of supply chain disruption risk drivers to supply chain performance and firm performance outcomes.

Four disruption risk drivers for a supply chain are identified, namely, demand disruption risk, supply disruption risk, process disruption risk and environment disruption risk. A cross-sectional survey was developed and data was collected from 315 Chinese firms to determine the relationship of supply chain disruption risks to supply chain performance and firm performance.

The empirical findings show that supply disruption risks and process disruption risks have a significant impact on supply chain performance. In addition, this paper shows that supply disruptions, demand disruptions and process disruptions are significantly related to firm performance. This paper shows that supply chain disruption risks have different effects on supply chain performance and firm performance. Managers should be aware that disruption risk drivers can have an impact on firm performance that is different from their impact on supply chain performance. An important finding of the study is that the magnitude of the impact of disruption risks on supply chain performance is greater on the upstream side of the supply chain than on the downstream side of the supply chain.

This is one of the early studies to examine the effect of supply chain disruption risk drivers on both firm performance and supply chain performance. An important finding of the study is that the magnitude of the impact of disruption risks on supply chain performance is greater on the upstream side of the supply chain than on the downstream side of the supply chain.

The technology evolution compels retail networks to introduce unique business models to retain customers and to gain a competitive advantage. Customer reviews available through social media need to be taken into account by retail networks to design a model with unique service operations and marketing approaches that will improve loyalty by adding value to customers. Furthermore, the relationship between customer satisfaction and customer spending behaviour is very weak and needs further investigation. Hence the purpose of this paper is to understand how retail network leverage the potential of social media reviews along with unique service operations to satisfy customers. The study analyses the nexus of: a brand, promotional offers, service operations; and their interaction through social media reviews on customer satisfaction levels.

The authors develop a conceptual model for the social media era. The authors combine the idea of loyalty- and value-based models of Chatterjee (2013). The authors employed a survey questionnaire method to elicit opinions of retail customer satisfaction based on social media reviews, service operations and marketing efforts. The authors derive measures of the model from existing literature and expert opinion.

Social media reviews dramatically impact upon customer satisfaction. Similarly the empirical analysis identifies the significant and positive role played by service operations in customer satisfaction levels. Interestingly the authors did not find unequivocal support for brand satisfaction impacting on customer satisfaction. However, when promotions interact well with service operations, the level of customer satisfaction is significantly affected. Similarly the authors did not observe a positive outcome when there is an interaction between promotion and social media reviews. After reading the reviews, some potential buyers make a visit to store before making final decisions and surprisingly, promotional effects do not change their mind set.

Research findings confirm the importance of social media reviews, marketing and interaction between promotion and service operations enabling retail networks to build loyalty and value-based models. Based on customer behaviour, the study suggests a need to consider operational efficiencies when promoting sales; through careful planning, customer satisfaction and profitability levels can be increased. This sends a strong message to the retail network to defend their position within a very competitive business market.

The empirical evidence based on customer experience would be helpful for companies in integrating their operations and marketing efforts enabling them to convert different segment of customers such as “free riders (higher satisfaction and low profitability)” and “vulnerable customers (low satisfaction and higher profitability)” into “star customers (higher satisfaction and high profitability)”. Through a considered approach: combining social media reviews, marketing and operations, businesses will be better-placed to survive in the ultra-competitive social media-influenced era.

This study aims to address three research questions pertaining to climate neutrality within the supply chain of metal and mining industry: (1) How can an organization implement practices related to climate neutrality in the supply chain? (2) How do members of the supply chain adopt different measures and essential processes to assist an organization in responding to climate change-related concerns? (3) How can the SAP-LAP framework assist in analyzing and proposing solutions to attain climate neutrality?

To address the proposed research questions concerning climate neutrality, this study employs a case study approach utilizing the SAP-LAP (situation, actor, process–learning, action, performance) framework. Within the SAP-LAP framework, adopting a natural resource-based perspective, the study thoroughly examines the intricacies and interactions among existing situations, pertinent actors and processes that impact climate initiatives within a metal and mining company.

The study's findings suggest that organizations can achieve the objective of climate neutrality by prioritizing resources and capabilities that lead to reduced GHG emissions, lower energy consumption and optimal resource utilization. The study further proposes key elements that significantly influence the pursuit of climate neutrality within enterprises.

This study is one of the earliest contributions to the development of a holistic understanding of climate neutrality in the supply chain of the metal and mining industry.

The study will assist practitioners and policymakers in comprehending the present circumstances, actors and processes involved in enterprises' supply networks in order to attain climate neutrality in supply chains, as well as in taking the right steps to enhance performance.

This study presents a climate neutrality model and provides valuable insights into emission management, contributing to the achievement of the climate neutrality objective.

Carbon Efficient Practices (CEPs) are gaining momentum due to the serious consequences of climate change. While past studies have focused on the effects of either drivers or barriers to green practices especially in the context of developed countries, relatively little attention has been devoted to the simultaneous effects of drivers and barriers on product redesign, particularly in the context of China. The paper aims to discuss these issues.

Using a blend of the Contextual Interaction Theory and Newton’s second law of motion, this paper proposes a conceptual model that simultaneously examines the impact of CEP drivers and barriers on product redesign and performance.

Structural Equation Modeling (SEM) analysis on a sample of 239 Chinese manufacturing firms indicated that drivers had substantially higher effects on product redesign and performance compared to the influence of other barriers.

Use of Newton’s second law of motion as a theoretical framework for understanding the adoption of CEPs in the context of China is novel. Implications of this pattern of results on academic theory building and practice are offered.

Remanufacturing is the only end-of-life (EOL) treatment process that results in as-new functional and aesthetic quality and warranty. However, applying mental model theory, the purpose of this paper is to argue that the conception of remanufacturing as an EOL process activates an operational mental model (OMM) that connects to resource reuse, environmental concern and cost savings and is thus opposed to a strategic mental model (SMM) that associates remanufacturing with quality improvements and potential price increases.

The authors support the argument by empirically assessing consumers’ multi-attribute decision process for cars with remanufactured or new engines among 202 car buyers in China. The authors conduct a conjoint analysis and use the results as input to simulate market shares for various markets on which these cars compete.

The results suggest that consumers on average attribute reduced utility to remanufactured engines, thus in line with the OMM. However, the authors identify a segment accounting for about 30 per cent of the market with preference for remanufactured engines. The fact that this segment has reduced environmental concern supports the SMM idea that remanufactured products can be bought for their quality.

A single-country (China) single-brand (Volkswagen) study is used to support the conceptualised mental models. While this strengthens the internal validity of the results, future research could improve the external validity by using more representative sampling in a wider array of empirical contexts. Moreover, future work could test the theory more explicitly.

By selling cars with remanufactured engines to customers with a SMM that values the at least equal performance of remanufactured products, firms can enhance their profit from remanufactured products. In addition, promoting SMM enables sustainable business models for the sharing economy.

As a community, the authors need to more effectively reflect on shaping mental models that disconnect remanufacturing from analogies that convey inferior quality and performance associations. Firms can overcome reduced utility perceptions not only by providing discounts, i.e. sharing the economic benefits of remanufacturing, but even more by increasing the warranty, thus sharing remanufacturing’s performance benefit and reducing consumers’ risk, a mechanism widely acknowledged in product diffusion but neglected in remanufacturing so far.

The present study aims to assess the role of supply chain resilience as an operational excellence approach to deal with disruptions caused by coronavirus pandemic in the food supply chain of an agri-food supply firm.

The case study method was used to analyse the disruptions faced by the agricultural food supply chain during the pandemic. The study applies a dynamic capability theory as a foundation to develop a contextualised resilience framework for agri-food supply chain to achieve operational excellence. The case has been analysed by using situation-actor-process (SAP) and learning-action-performance (LAP) framework.

The SAP aspect of framework points that the flexibility amongst actors for a resilient agriculture supply chain worsened due to the lockdown measures post COVID-19. The LAP aspect of framework suggests how resilience can be built at the supply, demand and logistics end through various proactive and reactive practices such as collaboration, coordination, ICT and ground-level inputs. Lack of commitment and inadequate support from top management towards supply chain resilience are also observed as significant challenges to maintain operational excellence during the pandemic.

One of the major implications of the study is that a mix of capabilities rather than a single capability can be the most appropriate way for making the supply chain resilient to maintain operational excellence during the pandemic. However, the sources of disruptions need to be duly recognised to derive the best-contextualised resilience framework for agri-food supply chains.

The development of a contextualised research framework as well as research propositions for analysing supply chain resilience are the major contribution of this study.

The purpose of this article is to discuss how the mastery of resilience in operations and supply chains plays a significant role in the transition to a more sustainable future. Furthermore, it is supposed to propose avenues for future research on operational and supply chain resilience, interacting with the sustainability literature in our field.

A conceptual review of resilience and sustainability themes within operations and supply chain management research is conducted. Reflections on the topic are informed by relevant literature published over the last decade.

The major conceptual contributions are threefold: (1) This article elaborates on the understanding of operational resilience and supply chain resilience concepts and reviews their respective primary research streams. (2) It proposes resilience as the missing element in the pursuit of excellence in organizations that want to contribute to a more sustainable future. (3) The article offers a research framework that provides a future research agenda at the intersection of resilience and sustainability in operations and supply chain management research.

The article highlights gaps in current research and illustrates further areas of research that need to be addressed to maximize the contribution of operations and supply chain management research in supporting practitioners to achieve a more sustainable future.

The global food industry is faced with the dilemma of finding a balance between food wastage and food shortage. Approximately one-third of food produced globally goes to waste, while about 800 million people suffer from undernourishment. Given this context, the purpose of this study is to investigate the unresolved challenges related to enhancing transparency associated with products of high perishability and low shelf life.

The authors conducted 25 interviews with global agri-food supply chains (AFSCs) experts to ask what impedes the progress of the current technologies, such as blockchain, to enable transparency and traceability (T&T) in AFSCs.

The findings indicate barriers at the individual, firm and supply chain levels. Based on these barriers, the authors propose an interconnected framework to explain technologically-driven T&T and guide on barrier removal from AFSCs. The authors conclude that by applying technology (i.e. blockchain) the authors can resolve the tension of supporting T&T in AFSCs. This can enable the efficient and transparent tracking of goods, reduction of food waste and loss, as well as promotion of the use of recyclable packaging and further sustainable practices and materials, all of which are aligned with a range of UN Sustainable Development Goals (2, 8, 10 and 12). Moreover, the authors see that some factors are interrelated. Based on these factors, the authors build an interconnected framework to guide on barrier removal from AFSCs. Managers in AFSC would find the findings especially relevant.

Drawing on industrial network theory and signalling theory, the authors propose an interconnected framework for explaining barriers (challenges) and potential solutions (opportunities) to T&T in AFSCs. This framework is developed by examining the interconnections of barriers at micro, meso and macro levels and applying signalling theory to explain how solutions address these barriers. The specific contributions of this study are: the list of barriers that impede the implementation of technological solutions for T&T in AFSCs; and a three-stage framework that explains how to remove the barriers for T&T. The study is limited by the focus on blockchain, which calls for future research once the next decentralised technology becomes available.

The agricultural supply chain is susceptible to disruptive geopolitical events. Therefore, agri-food firms must devise robust resilience strategies to hasten recovery and mitigate global food security effects. Hence, the central aim of this paper is to investigate how supply chains could leverage digital technologies to design resilience strategies to manage uncertainty stemming from the external environment disrupted by a geopolitical event. The context of the study is the African agri-food supply chain during the Russian invasion of Ukraine.

The authors employ strategic contingency and dynamic capabilities theory arguments to explore the scenario and conditions under which African agri-food firms could leverage digital technologies to formulate contingency strategies and devise mitigation countermeasures. Then, the authors used a multi-case-study analysis of 14 African firms of different sizes and tiers within three main agri-food sectors (i.e. livestock farming, food-crop and fisheries-aquaculture) to explore, interpret and present data and their findings.

Downstream firms (wholesalers and retailers) of the African agri-food supply chain are found to extensively use digital seizing and transforming capabilities to formulate worst-case assumptions amid geopolitical disruption, followed by proactive mitigation actions. These capabilities are mainly supported by advanced technologies such as blockchain and additive manufacturing. On the other hand, smaller upstream partners (SMEs, cooperatives and smallholders) are found to leverage less advanced technologies, such as mobile apps and cloud-based data analytics, to develop sensing capabilities necessary to formulate a “wait-and-see” strategy, allowing them to reduce perceptions of heightened supply chain uncertainty and take mainly reactive mitigation strategies. Finally, the authors integrate their findings into a conceptual framework that advances the research agenda on managing supply chain uncertainty in vulnerable areas.

This study is the first that sought to understand the contextual conditions (supply chain characteristics and firm characteristics) under which companies in the African agri-food supply chain could leverage digital technologies to manage uncertainty. The study advances contingency and dynamic capability theories by providing a new way of interacting in one specific context. In practice, this study assists managers in developing suitable strategies to manage uncertainty during geopolitical disruptions.

The study aims to develop and test a supply chain wide green product development framework of focal firms and their major suppliers, in the context of the Chinese automotive industry.

An in-depth case studies approach is adopted for this study. Three automotive sector upstream supply chains involving 17 firms and 51 experts as respondents were interviewed on the importance and implementation effectiveness of 6Rs (reduce, redesign, recover, remanufacture, reuse and recycle) across the manufacturer and their respective tier 1 and tier 2 suppliers.

The results indicate that the Chinese automotive sector supply chains are mainly focused on “reduce” practices with immediate environmental and economic benefits. The investigated firms however had future implementation plans for “redesign” and “recovery” practices to become comprehensive in green product development (GPD).

The study facilitates automotive firms, industry policymakers and researchers the understanding of incorporating comprehensive GSCM practices across the upstream supply chain to achieve circularity. The study focused on upstream supply chain due to the concentration of major production practices in this section of the supply chain. However, the downstream supply chain equally deserve attention as well as the need to understand the mediating and moderating roles of the different Rs to tease out the pros and cons of achieving overall environmental sustainability.

There are very limited studies on comprehensive GPD for achieving optimal GSCM and sustainability. By simultaneous looking at a focal firm and its upstream supply chains GSCM practices, this study addresses a system-wide comprehensive GPD issues from implementation of 6Rs perspectives in the supply chain.