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This paper aims to examine the relationship between environmental factors, risk perception and decision-making in risk management. Specifically, using attribution theory, the authors study the influence of macro-level logistical capabilities of a host country on a firm’s actual and perceived supply chain risk, and examine if this country-level factor and the firm level perception of risk affect a firm’s decision-making in risk management.

This study uses a combination of primary data from 932 manufacturing firms from 22 countries and secondary data from the logistics performance index (LPI), and empirically tests the conceptual framework using partial least squares structural equation modeling.

Key results reveal that a country’s logistical capabilities, measured using LPI, have a significant impact on managers’ risk perception. Firms located in countries with high LPI perceive lower risk in their supply chain both in the upstream and downstream, and therefore do not invest much in external integration, compared to firms in low LPI countries, and hence are exposed to high risk.

This is one of the first empirical studies linking a country’s logistical capabilities with supply chain risk perceptions, objective supply chain risk and supply chain risk management efforts of a firm using the International Manufacturing Strategy Survey database.

The purpose of this paper is to identify various dimensions of green quality. It integrates the existing carbon footprinting technique with the eight dimensions of quality proposed by Garvin (1984, 1987). Apart from extending these concepts, it also proposes two new dimensions – traceability and standardization which are not explicitly considered by the above two.

Conceptual theory building is used to develop a framework consisting of three interrelated propositions which explain the underlying dimensions of green quality and provide a better understanding of the same.

Similar to the eight dimensions of quality proposed by Garvin, the authors propose various dimensions of green quality and develop three propositions around these dimensions. This conceptual framework is developed by integrating the works of traditional quality (specifically Garvin’s eight dimensions), emergent literature on green products and their attributes, carbon footprinting from environmental economics discipline by summarizing their common elements and contrasting their differences.

This research is one of the first studies that explore the dimensions of green quality of a product. Apart from discovering and exploring inherent greenness in Garvin’s eight dimensions of quality, the authors also discuss about two new dimensions – traceability and standardization.

Due to the current volatile environment and fierce competition, manufacturing firms (MFs) must improve their performance to survive. In this regard, checking and monitoring the suppliers' risk should significantly improve the performance of MFs. In addition, a relation based on not being an opportunist, confidence and reliance are influential factors in reducing the supplier defaults on his/her supply obligations and improving supply chain performance (SCP). Besides, the moderator function of supplier involvement (SI) in the relationship between quality of the relationship (QoR) and supply risk mitigation (SRM) is undeniable.

Based on the survey of 148 samples from small to large-sized MFs in Jordan, Turkey and Egypt, empirical evidence has been conducted to support a majority of the authors’ hypotheses. This paper provides a theoretical review of buyer–supplier relationships and supply risk. Hypotheses were tested by using structural equation modeling (SEM)/Smart PLS-4.

According to the results, confidence and reliance have statistically significant and positive impacts on SRM, resulting in better SCP. Moreover, the findings show that SI positively affects and moderates the relationship between confidence (C) and SRM, while it has no statistically significant influence on the relationship between reliance (R) and SRM.

This study provides necessary material for managers and decision-makers in MFs to confirm the importance and understanding of the QoR in building relationships and business dealings with partners in the SC, in addition to limiting and mitigating the risks of an interruption in supply in particular. Therefore, building a high-quality relationship as a practice based on trust and reliability with suppliers positively affects the performance of the SCs of MFs.

This research paper offers empirical evidence for using QoR within SRM resources of MFs' context for enhancing their supply chain performance. This study is one of few studies that examine the QoR and SRM that contribute to enhancing SCP in MFs in developing countries, which also can serve as a reference for many SC managers and practitioners.

Theorising from a resource-based view perspective, the intersection of supply chain management and the use of information technology (IT) has been investigated in this study. This paper aims to investigate supply chain performance (SCP) as an essential outcome of the use of IT and explores the effect of supply chain collaboration (SCC) on SCP. In addition, volume uncertainty (VU) has been explored and tested to establish whether various associated uncertainties can be mitigated when the use of IT is involved.

A sample of 121 senior executives from agri-tech firms was collected by travelling and meeting the executives in person in various states of India. Structural equation modelling was used to test the hypothesized relationship of VU to SCP via the use of IT and SCC.

The results show that VU significantly impacts SCC via the use of IT and SCP via SCC. The use of IT positively and significantly impacts SCP via SCC.

Witnessing the potential benefits of the emerging use of IT in the uncertainty reduction as reported in this study, agri-tech firms operating in emerging rural and agricultural economies can enhance SCC to improve SCP.

This study unfolds how risks in agricultural supply chains (ASCs) sourced because the VU can be mitigated through the use of IT and SCC to influence SCP in rural agricultural and developing economies.

VU at agri-tech firms and farmers is a ground reality that has led to an inability to plan and prepare, resulting in wastages and disruptions in ASCs and farmers’ struggles.

From the perspective of the supply chain risk management (SCRM), this paper addresses the effects of a hybrid production system (make-to-stock and make-to-order) in order to know which risks can impact the production planning process at a large automaker in Brazil. Through the correlation of these themes, the purpose of this paper is to understand the relevant risks to the supply chain (SC).

Before the field research, a theoretical approach was made on two themes. After theoretical analysis of a case study on the automaker and data collection, the work used the Pearson’s product moment correlation (r) and χ² and Kolmogorov–Smirnov tests to assess the risk factors raised by the interviewed professionals, thus characterizing a mixed methodological approach (i.e. qualitative and quantitative).

It was evidenced that many risks are the result of functional failures, such as input of incorrect information in the system, and many are inherent to managerial decisions when procedures and different paths of production are adopted. Additionally, it has been proven that the adoption of a hybrid production planning approach does not increase the risks to the SC and that the identified risks do not necessarily are included within the scope of SCRM.

This study is characterized by an approach which combines SCRM and hybrid production system.

The purpose of the present work is to improve the industry performance by identifying and quantifying the risks faced by the Indian pharmaceutical industry (IPI). The risk values for the prominent risks and overall industry are determined based on the four risk parameters, which would help determine the most contributive risks for mitigation.

An extensive literature survey was done to identify the risks, which were also validated by industry experts. The finalized risks were then evaluated using the fuzzy synthetic evaluation (FSE) method, which is the most suitable approach for the risk assessment with parameters having a set of different risk levels.

The three most contributive sub-risks are counterfeit drugs, demand fluctuations and loss of customers due to partners' poor service performance, while the main risks obtained are demand, financial and logistics. Also, the overall risk value indicates that the industry faces medium to high risk.

The study identifies the critical risks which need to be mitigated for an efficient industry. The industry is most vulnerable to the demand risk category. Therefore, the managers should minimize this risk by mitigating its sub-risks, like demand fluctuations, bullwhip effect, etc. Another critical sub-risk, the counterfeit risk, should be managed by adopting advanced technologies like blockchain, artificial intelligence, etc.

There is insufficient literature focusing on risk quantification. Therefore, this work addresses this gap and obtains the industry's most critical risks. It also discusses suitable mitigation strategies for better industry performance.

This study aims to theoretically hypothesise and empirically explore the relationships amongst global supply chain risks, supply chain resilience and mitigating strategies.

The study adopts supply chain resilience as a dynamic capability and resilience capability as a mediating prerequisite in addressing supply chain risk in sourcing, manufacturing and delivery. The moderating role of diverse mitigating strategies is tested to enhance supply chain resilience. Data collected via survey was used for structural equation modelling and additional tests to explore appropriate mitigating strategies for differing risk environments.

Achieving better supply chain resilience capability plays an important mediating role between supply chain risks and resilience, while the relationships depend on the performance of seven mitigating strategies.

The findings contribute to the theoretical development of risk management issues in global supply chains by suggesting the role of supply chain resilience capability.

The findings offer managerial guidance on how to mitigate the global supply chain risk through the appropriate practice of strategies to strengthen supply chain resilience in an uncertain environment.

This is the first empirical research examining the impact of mitigating strategies on supply chain resilience. The results provide practical implications for managing uncertain events and offering theoretical insight for future research in supply chain resilience.

This study aims to investigate how relatively weaker manufacturers respond to the dominance of stronger suppliers and/or customers. The study also analyzes how the competitive intensity perceived by manufacturers moderates their responses to powerful chain partners.

Using hierarchical regression, data from 1,417 manufacturing companies sampled from the fifth and sixth versions of the International Manufacturing Strategy Survey were analyzed.

This study found that relatively weaker manufacturers often adopt exploration strategies to countervail the dominance of suppliers and adopt exploitation strategies to deal with more powerful customers. In dealing with both dominant suppliers and customers, relatively weaker manufacturers are prone to adopt exploration and exploitation strategies simultaneously and hence become ambidextrous. Furthermore, the link between dominance in supply chains and the exploration (exploitation) strategy is strengthened (weakened) as market competition perceived by manufacturers intensifies.

The contribution of this paper is multi-folds. First, this paper develops and test a novel theoretical model on how relatively weaker manufacturers create tailored strategies to defend their positions in the supply chain. Second, it integrates resource dependence theory and organizational learning theory to propose that relatively weaker manufacturers could use a unique configuration of exploration and exploitation strategies to counteract the dominance of their suppliers and customers. Third, it investigates supply chain power by considering the manufacturers’ upstream and downstream powerful partners together, rather than individually and fourth, it reveals that relationships linking supply chain power to manufacturers’ tailored strategies are contingent on competitive intensity.

In spite of its potential benefits in a wide range of situations, supply chain risk mitigation strategies have received scant attention on the subject of managing the supply chain risk in the business environment. Especially, there is still a limited understanding of the importance of firms’ supply chain flexibility, resilience and responsiveness in the supply chain risk management (SCRM) literature. This research focuses on exploring the relationship between significant proactive risk mitigation strategies, namely supply chain (SC) flexibility, resilience and responsiveness, as well as SCRM performance to facilitate bridging the gap between mitigation strategies and SCRM performance. The moderating role of risk management (RM) culture was also hypothesized and tested.

A survey-based methodology is adopted. The data are analyzed using the technique of partial least squares.

The results indicate that SC resilience and responsiveness are positively associated with SCRM performance; however, SC flexibility does not. In addition, interestingly, RM culture does not moderate these relationships in spite of the extant literature. We argue that this could be due to the fact that risk management culture is at the beginning stage for an enterprise in Turkey.

This study extends the existing literature by advancing the knowledge on the relationship between proactive risk management strategies, which applied to overcome uncertainties and SCRM performance.

This research investigates the mechanism by which big data capability enables superior supply chain resilience (SCRe) by empirically examining the links among big data analytics (BDA), supply chain flexibility (SCF) and SCRe, with innovation-focused complementary assets (CA-I) as the moderator.

Extensive surveys were conducted to gather 308 responses from Malaysian manufacturing firms in order to explore this framework. The structural and measurement models were examined and evaluated by using partial least squares structural equation modelling.

The findings revealed that BDA is linked to flexibilities in a manufacturing firm’s value chain, which in turn is related to the firm’s SCRe. However, the association between BDA and SCRe is surprisingly non-significant. Additionally, CA-I was discovered to moderate the connections between all of the constructs, except for the relationship between BDA and SCRe. Such findings imply that with the aim of enhancing resilience, a company should concentrate on SCF; and that BDA capability is a prerequisite for increasing these flexibilities.

This research extrapolates the findings of previous studies regarding BDA’s influence on SCRe by investigating the indirect effect of SCF, as well as the moderating influence of CA-I. This research is one of the first few studies to empirically examine the relationships between BDA, SCF and SCRe across manufacturing firms, with CA-I acting as a moderator.