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As global supply networks proliferate, the strategic significance of supply chain risk management (SCRM) – defined as the identification, evaluation, and management of supply chain-related risks to reduce overall supply chain vulnerability – also increases. Yet, despite consistent evidence that firm performance is enhanced by appropriate fit between strategy and context, extant SCRM research focusses more on identifying sources of supply chain risk, types of SCRM strategy, and performance implications associated with SCRM than on the relative efficacy of alternative primary supply chain risk mitigation strategies in different risk contexts. Drawing on contingency theory, a conceptual framework is proposed that aligns well-established aspects of SCRM to present a rubric for matching primary alternative supply chain risk mitigation strategies (redundancy and flexibility) with particular risk contexts (severity and probability of risk occurrence). The paper aims to discuss these issues.

Conceptual paper.

The proposed framework addresses supply chain managers’ need for a basic rubric to help them choose and implement risk mitigation approaches. The framework may also prove helpful for introducing business students to the fundamentals of SCRM.

The framework and associated research propositions provide a theoretically grounded basis for managing the firm’s portfolio of potential supply chain risks by applying appropriate primary risk mitigation strategies based on the specific context of each risk rather than taking a “one size fits all” approach to risk mitigation. An agenda for progressing research on contingency-based approaches to SCRM is also presented.

To build resilient supply chains, buyers should implement risk mitigation tactics. The purpose of this paper is to provide insights into the risky decision-making process that underlies buyers’ decisions to adopt supply risk mitigation tactics for creating supply-side resilience.

The authors employ experimental scenarios to simulate supply disruptions of low and high likelihood. The authors then assess buyers’ decisions to adopt supply risk mitigation tactics in response to these scenarios.

The authors find that buyers’ perceptions of supply disruption likelihood are positively related to their adoption of buffer- and process-oriented risk mitigation tactics and preference for process-oriented risk mitigation tactics. Conversely, risk propensity negatively affects buyers’ adoption of buffer- and process-oriented mitigation tactics.

Beyond risk perceptions, the authors consider how risk propensity also affects the risky decision-making process. Moreover, whereas previous studies often focus on a single mitigation tactic, the authors study buyers’ adoption of multiple buffer- and process-oriented risk mitigation tactics to create supply-side resilience.

The vulnerability issue in supply chains is among the most pressing concerns that firms are currently facing. As a preliminary attempt to address the lack of empirical research, this paper aims to primarily explore the relationship between vulnerability mitigation strategies and supply chain effectiveness with security culture as a moderator.

Data are gathered via a survey of 209 Indonesian manufacturing firms. The data are analyzed using partial least squares technique.

Results indicate that supply chain visibility, supply chain flexibility and supplier development strategies positively affect supply chain effectiveness. Moreover, risk culture positively moderates the effects of supply chain visibility and supplier development on supply chain effectiveness.

The findings may improve supply chain effectiveness by mitigating the effects of vulnerability causes.

This study contributes to the advancement of knowledge on the relationships between vulnerability mitigation strategies and supply chain effectiveness.

The purpose of this study is to identify the risks that exist in halal meat supply chain activities and to carry out a risk assessment using the fuzzy best-worst method (FBWM) along with mitigating risks using the risk mitigation number (RMN).

The method used is to collect several literature reviews related to the halal meat supply chain, which has information relevant to the risks of the meat industry in Indonesia. Then, a focus group discussion was held with several experts who play a role in the meat industry in Indonesia, and 33 identified risks were identified in halal meat supply chain activities. The proposed methodology uses FBWM and RMN in conducting risk assessment and mitigation in the meat industry in Indonesia.

The analysis reveals that priority risk is obtained by using the global weight value on the FBWM, and then risk mitigation is carried out with RMN. Priority mitigation strategies can mitigate some of the risks to the meat industry in Indonesia. The proposed mitigation strategy is designed to be more effective and efficient in preventing risks that can interfere with product halalness in halal meat supply chain activities in the Indonesian meat industry.

The implications of this study highlight the need for collaboration among stakeholders, improved risk assessment methodologies and the expansion of research into other halal supply chains. By addressing these implications, the halal industry can enhance its integrity, consumer confidence and overall contribution to the global market.

This research provides an integrated approach to identifying, analyzing, assessing and mitigating risks to the meat industry in Indonesia.

This study tries to examine how supply chain (SC) absorptive capacity (AC), SC ambidexterity, SC risk mitigation and supply chain agility (SCA) affect SC efficacy (SCE) in manufacturing firms (MFs) in the Middle East region.

Using a quantitative approach through a survey-based study, 1,004 questionnaires were distributed to the MFs that are listed in the chambers of the industries of Jordan, Egypt, Saudi Arabia and Bahrain in the Middle East region, with 239 useable and valid responses retrieved for analysis, representing a 23.8% response rate. The main respondents were chief executive managers, operations managers, managers and logistics managers from both mid and top levels. The conceptual model was tested by using a hypothesis-testing deductive approach. The findings are based on covariance-based analysis and structural equation modeling (SEM) using partial least squares-SEM (PLS-SEM) software.

This study illustrates a significant relationship between SC AC, SC ambidexterity, SC risk mitigation and SCA on SCE. Further, the findings indicate that there is a significant effect of SC risk mitigation as a mediating factor in the relationship between SC AC, and SC ambidexterity on SCE directly and indirectly, as well through a moderating effect of SCA in these relations. Finally, there is a significant direct and indirect effect of SCA in the relationship between SC AC and SC ambidexterity on SCE as a moderating factor.

This study presents theoretical and empirical insights that both SC risk mitigation and SCA are proper logistics features for mediating and moderating extends the literature by adding a positive role of SC AC and SC ambidextrousness in mitigating SC risks. However, this study adds up the SC literature by evidencing moderating role of SCA between the absorptive capacities, ambidexterity on SCE. Such findings of this study can provide insightful implications for managers and practitioners at different levels in and efficacy among MFs (MFs, stakeholders and policymakers regarding the importance of using the three mentioned enablers on SCE) in MFs, particularly in the Middle Eastern firms and in developing countries in general East region.

The purpose of this paper is to examine why building owners are often reluctant to adopt adequate mitigation measures despite the vulnerability of their buildings to earthquake disasters, by exploring the economic-related barriers to earthquake mitigation decisions.

A case study research method was adopted and interviews chosen as the method of data collection.

Critical economic-related impediments that inhibited seismic retrofitting of earthquake-prone buildings were revealed in this study. Economic-related barriers identified include perception about financial involvement in retrofitting, property market conditions, high insurance premiums and deductibles, and the high cost of retrofitting. The availability of financial incentives such as low interest loans, tax deductibles, the implementation of a risk-based insurance premium scale and promoting increased knowledge and awareness of seismic risks and mitigation measures in the property market place are likely to address the economic-related challenges faced by property owners when undertaking seismic retrofitting projects. The provision of financial incentives specifically for seismic retrofitting should be introduced in policy-implementation programme tailored to local governments’ level of risks exposure and available resources.

The recommendations provided in this study suggest strategies and answers to questions aimed at understanding the types of incentives that city councils and environmental hazard managers should focus on in their attempt to ensure that property owners actively participate in earthquake risk mitigation.

This paper adopts a holistic perspective for investigating earthquake risk mitigation by examining the opinions of the different stakeholders involved in seismic retrofit decisions.

The purpose of this paper is to develop a model for upstream supply chain risk management linking risk identification, risk assessment and risk mitigation to risk performance and validate the model empirically. The effect of a continuous improvement process on identification, assessment, and mitigation is also included in the model.

A literature review is undertaken to derive the hypotheses and operationalize the included constructs. The paper then tests the path analytical model using partial least squares analyses on survey data from 162 large and mid‐sized manufacturing companies located in Germany.

All items load high on their respective constructs and the data provides robust support to all hypothesized relationships. Superior risk identification supports the subsequent risk assessment and this in turn leads to better risk mitigation. The model explains 46 percent of the variance observed in risk performance.

This study empirically validates the sequential effect of the three risk management steps on risk performance as well as the influence of continuous improvement activities. Limitations of this study can be seen in the use of perceptional data from single informants and the focus on manufacturing firms in a single country.

The detailed operationalization of the constructs sheds further light on the problem of measuring risk management efforts. Clear evidence of the performance effect of risk management provides managers with a business case to invest in such initiatives.

This is one of the first large‐scale, empirical studies on the process dimensions of upstream supply chain risk management.

Recent earthquake-induced liquefaction events and associated losses have increased researchers’ interest into liquefaction risk reduction interventions. To the best of the authors’ knowledge, there was no scholarly literature related to an economic appraisal of these risk reduction interventions. The purpose of this paper is to investigate the issues in applying cost–benefit analysis (CBA) principles to the evaluation of technical mitigations to reduce earthquake-induced liquefaction risk.

CBA has been substantially used for risk mitigation option appraisal for a number of hazard threats. Previous literature in the form of systematic reviews, individual research and case studies, together with liquefaction risk and loss modelling literature, was used to develop a theoretical model of CBA for earthquake-induced liquefaction mitigation interventions. The model was tested using a scenario in a two-day workshop.

Because liquefaction risk reduction techniques are relatively new, there is limited damage modelling and cost data available for use within CBAs. As such end users need to make significant assumptions when linking the results of technical investigations of damage to built-asset performance and probabilistic loss modelling resulting in many potential interventions being not cost-effective for low-impact disasters. This study questions whether a probabilistic approach should really be applied to localised rapid onset events like liquefaction, arguing that a deterministic approach for localised knowledge and context would be a better base for the cost-effectiveness mitigation interventions.

This paper makes an original contribution to literature through a critical review of CBA approaches applied to disaster mitigation interventions. Further, this paper identifies challenges and limitations of applying probabilistic based CBA models to localised rapid onset disaster events where human losses are minimal and historic data is sparse; challenging researchers to develop new deterministic based approaches that use localised knowledge and context to evaluate the cost-effectiveness of mitigation interventions.

As commercial cooking is known as a source that generates great concentrations of particulate matter (PM) emissions first accumulating in kitchens before spreading to dining areas, this study aims to explore how to improve restaurants’ efforts to reduce PM emissions by the application of attribution theory.

Data were obtained from restaurant managers operating their business in South Korea, considered to be qualified to provide accurate information regarding the survey questions. A scenario-based experimental approach was used to test the hypothesized relationships. Cognitive and emotional risk judgements were assessed for its potential interaction effects on the relationships between restaurant perceptions of PM source attributions, preventions attitudes and mitigation behavioral intentions.

Results revealed that perceptions of PM main sources were attributed to internal rather than external factors, which improved mitigation behavioral intentions. Such an effect was partially mediated through PM pollution prevention attitudes. Additionally, when applying external source attributions, PM mitigation behavioral intentions were improved by cognitive risk judgements, and PM prevention attitudes were enhanced by affective risk judgements.

Results assist restaurants to better understand their operations that may be emitting significant levels of PM, thereby encouraging them to set more ambitious and effective PM mitigation operational guidelines for their employees and diners.

This study provides a fundamental baseline of management perceptions regarding PM emissions related to restaurant mitigation behavioral intentions. Results are useful in designing appropriate communication strategies addressing restaurant PM pollution issues to improve internal restaurant practices regarding clean air quality.

Managing supply chain risk is a crucial element in ensuring the long-term sustainability of any organization or industry. As such, identification of risks and deploying their mitigation strategies should be the focal point to sustain in the long run. The risks that are faced by food processing supply chains are gaining prominence, given more consumers requiring higher quality products while ensuring traceability. In essence, this research focuses on the supply chain risks and mitigation strategies in the spice industry of an emerging economy, Sri Lanka.

This paper integrates two popular multi-criteria decision-making (MCDM) techniques, such as the analytical hierarchy process (AHP) and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) to assess the supply chain risks and to derive their mitigation strategies for the spice industry.

Findings show that “inability to meet quality requirements” has been established as the most significant risk in the Sri Lankan spice industry. On the other hand, “vertical integration” (backward integration) has been discovered as the key mitigation strategy to ameliorate the effects of supply chain risks in this sector.

This study is exploratory, and more empirical data and statistical analyses are needed to further validate the outcomes of the study.

Despite being one of the largest trade exporters in Sri Lanka, the spice industry gets scant attention to the identification and mitigation of the risks. The authors explored the supply chain risks in the spice industry and then prioritized the suitable mitigation strategies using an integrated AHP-TOPSIS method.