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The purpose of this paper is twofold: to identify the supply chain risks in the automotive and electronic industries in Brazil, and to highlight the urgency of supply chain risk management (SCRM) implementation.

It uses exploratory study methodology in the automotive and electronic industries, taking in consideration of the (SCRM) phase of initiation.

There are significant practices to implement SCRM: better supply chain communication, SCRM and business continuity planning training program, and the creation of a chief risk officer position to manage the supply chain risks.

The limitation of this study comes from its small sample size. There are two simple reasons: many companies did not know SCRM and thus misinterpreted the information about SCRM.

This case study promotes more preparedness for the two industries to manage the risks of supply chain.

This study shows the risks that surround the supply chain in the automotive and electronic industries in Brazil and how these industries can implement SCRM in a successful way.

Digital transformation misalignment refers to disparities in digital transformation levels between suppliers and buyers across the production and operation process. It has negatively affected supply chain stability. However, the existing research concerning the economic consequences has not been adequately addressed. Therefore, this paper aims to investigate whether such digital transformation misalignment increases supplier financial risk and to identify the factors influencing this relationship.

This paper examines binary combinations of suppliers and buyers listed on China’s A-share market between 2011 and 2021. This group constitutes a sample to empirically test the influence of digital transformation misalignment on the supplier’s financial risk, as well as the moderating effect of the geographical and organizational distances.

The paper’s findings demonstrate that digital transformation misalignment has indeed a significant increase in the supplier’s financial risk. Moreover, the impact is more intense when the geographical or organizational distance between the supplier and the buyer is relatively large.

The existing literature rarely explores the potential risks arising from digital transformation misalignment between supply chain partners. Therefore, this paper fills a notable gap as it is the first to study the impact of digital transformation misalignment on the supplier’s financial risk and the specific applied mechanisms. The contribution significantly improves the field of corporate digital transformation, particularly, within the context of supply chain management.

Due to the uniqueness of individual construction projects, identifying the dominant risk factors is needed for risk mitigation in ongoing and future projects. This study aims to identify the dominant construction supply chain risk (CSCR) factors, based on studies conducted between 2002 and 2022.

The study adopts the preferred reporting items for systematic reviews and meta-analysis (PRISMA) procedure to identify, screen and select relevant articles in order to provide a bibliography and annotation of the prevalent risks in the supply chains. A descriptive analysis of the findings then follows.

The study’s findings have highlighted the three most prevalent risks in the construction supply chain (poor communication across project teams, changes in foreign currency rate, unfavorable climate conditions) as reported in literature, that project teams need to pay closer attention to and take proactive steps to mitigate.

Due to limitations imposed by the chosen research methodology, tools, time frame and article availability, the study was unable to examine all CSCR-related papers.

The results will serve as a useful roadmap for risk/supply chain managers in the construction industry to take strategically proactive steps towards allocating resources for CSCR mitigation efforts.

Context-specific research on the impact of social and cultural risks on the construction supply chain would be beneficial, due to emerging social network risk factors and the complex socio-cultural settings.

There is presently no study that has reviewed extant studies to identify and compile the dominant risk factors (DRFs) associated with the supply chain of construction projects for ranking in the supply chain risk management process.

This paper is motivated by the need to assess the risk profiles associated with the substantial number of items within military supply chains. The scale of supply chain management processes creates difficulties in both the complexity of the analysis and in performing risk assessments that are based on the manual (human analyst) assessment methods. Thus, analysts require methods that can be automated and that can incorporate on-going operational data on a regular basis.

The approach taken to address the identification of supply chain risk within an operational setting is based on aspects of multiobjective decision analysis (MODA). The approach constructs a risk and importance index for supply chain elements based on operational data. These indices are commensurate in value, leading to interpretable measures for decision-making.

Risk and importance indices were developed for the analysis of items within an example supply chain. Using the data on items, individual MODA models were formed and demonstrated using a prototype tool.

To better prepare risk mitigation strategies, analysts require the ability to identify potential sources of risk, especially in times of disruption such as natural disasters.

Businesses are increasingly vulnerable and exposed to physical climate change risks, which can cascade through local, national and international supply chains. Currently, few methodologies can capture how physical risks impact businesses via the supply chains, yet outside the business literature, methodologies such as sustainability assessments can assess cascading impacts.

Adopting a scoping review framework by Arksey and O'Malley (2005) and the PRISMA extension for scoping reviews (PRISMA-ScR), this paper reviews 27 articles that assess climate risk in supply chains.

The literature on supply chain risks of climate change using quantitative techniques is limited. Our review confirms that no research adopts sustainability assessment methods to assess climate risk at a business-level.

Alongside the need to quantify physical risks to businesses is the growing awareness that climate change impacts traverse global supply chains. We review the state of the literature on methodological approaches and identify the opportunities for researchers to use sustainability assessment methods to assess climate risk in the supply chains of an individual business.

Identifying and prioritizing supply chain risk is significant from any product’s quality and reliability perspective. Under an input-process-output workflow, conventional risk prioritization uses a risk priority number (RPN) aligned to the risk analysis. Imprecise information coupled with a lack of dealing with hesitancy margins enlarges the scope, leading to improper assessment of risks. This significantly affects monitoring quality and performance. Against the backdrop, a methodology that identifies and prioritizes the operational supply chain risk factors signifies better risk assessment.

The study proposes a multi-criteria model for risk prioritization involving multiple decision-makers (DMs). The methodology offers a robust, hybrid system based on the Intuitionistic Fuzzy (IF) Set merged with the “Technique for Order Performance by Similarity to Ideal Solution.” The nature of the model is robust. The same is shown by applying fuzzy concepts under multi-criteria decision-making (MCDM) to prioritize the identified business risks for better assessment.

The proposed IF Technique for Order Preference by Similarity to the Ideal Solution (TOPSIS) for risk prioritization model can improve the decisions within organizations that make up the chains, thus guaranteeing a “better quality in risk management.” Establishing an efficient representation of uncertain information related to traditional failure mode and effects analysis (FMEA) treatment involving multiple DMs means identifying potential risks in advance and providing better supply chain control.

In a company’s supply chain, blockchain allows data storage and transparent transmission of flows with traceability, privacy, security and transparency (Roy et al., 2022). They asserted that blockchain technology has great potential for traceability. Since risk assessment in supply chain operations can be treated as a traceability problem, further research is needed to use blockchain technologies. Lastly, issues like risk will be better assessed if predicted well; further research demands the suitability of applying predictive analysis on risk.

The study proposes a hybrid framework based on the generic risk assessment and MCDM methodologies under a fuzzy environment system. By this, the authors try to address the supply chain risk assessment and mitigation framework better than the conventional one. To the best of their knowledge, no study is found in existing literature attempting to explore the efficacy of the proposed hybrid approach over the traditional RPN system in prime sectors like steel (with production planning data). The validation experiment indicates the effectiveness of the results obtained from the proposed IF TOPSIS Approach to Risk Prioritization methodology is more practical and resembles the actual scenario compared to those obtained using the traditional RPN system (Kim et al., 2018; Kumar et al., 2018).

This study provides mathematical models to simulate the supply chain risk assessment, thus helping the manufacturer rank the risk level. In the end, the authors apply this model in a big-sized organization to validate its accuracy. The authors validate the proposed approach to an integrated steel plant impacting the production planning process. The model’s outcome substantially adds value to the current risk assessment and prioritization, significantly affecting better risk management quality.

Despite a hangover from the worldwide economic crisis, international trade rebounded nicely with a record-level growth in late 2010. A sharp rise in international trade has sparked the international traffic growth. A majority of this traffic growth originated from maritime logistics which could move cargoes in large volume and at cheaper freight costs. Due to its cost-efficiency and easy access, maritime logistics typically accounts for more than half of the worldwide freight volume. However, maritime logistics poses a greater supply chain risk, since ocean carriers used for maritime logistics are more vulnerable to unpredictable weather conditions, piracy attacks, terrorist hijacking, and cargo damages on the open sea than any other modes of transportation. Also, given the vast areas that maritime logistics covers, it is more difficult to protect maritime logistics activities from potential hazards and threats.

To better protect maritime logistics activities from potential security lapses, this chapter introduces and develops a variety of systematic security measures and tools that were successfully used by best-in-class companies and government entities across the world. Also, this chapter proposes a total maritime security management model as a way to formulate maritime risk mitigation strategies. To elaborate, this chapter sheds light on the roots of maritime security measures and tools, the ways that those measures and tools are best utilized, the roles of advanced information technology in maritime security from the global supply chain perspectives, the visualization and identification of potential maritime and its related supply chain risks, and policy guidelines that will help enhance maritime security.

This research aims to specialise in the investigation of risk management for service-oriented manufacturing supply chains via two stages, highlighting its differences from manufacturing. The research article is commenced by executing an encyclopedic review of earlier research to ascertain the distinctive traits of service-oriented manufacturing supply chains and identify prevalent risks. Secondly, an empirical study in the construction field, amongst the industry hardest struck in the mist of the COVID-19 epidemic, is conducted to thoroughly inspect the resonant effect of these risks on service-oriented manufacturing supply chain performance.

In this study, to validate the resonant effect mechanism, a thorough assessment is undertaken by juxtaposing theoretical model to a newly constructed comparative model that encompasses the single effects of risks on supply chain performance.

63% variance of service-oriented manufacturing supply chain performance was showcased by the resonant effect model, compared with 46.3% in the comparative model. Moreover, each risk exerts a more glaringly significant impact on supply chain performance, asserting the mechanism of the resonant influence. Another noteworthy result involves the demand risk possessing a low effect on supply chain performance, thus emphasising the superiority of service-oriented manufacturing supply chains.

Future research endeavours should hinge on the optimal “resonant” model explosion, thereby foreseeing and alleviating worst-case scenarios to guarantee the robustness and resilience of supply chain networks.

Indubitably, reducing the intensity of the resonant effect revolves around lowering the coefficient of “a,” thereby restricting/eliminating the link among risks. Therefore, the suggested resonant impact model might thus serve as “a road map”. In light of the aforementioned considerations, it is advisable that supply chain executives employ supply chain management tactics namely avoidance, prediction, and postponement, but only after meticulous consideration the costs and benefits of adopting such strategies.

The service-oriented manufacturing supply chain features and advantages have been analysed and explained throughout the article. The data gathered during the COVID-19 pandemic is a captivating and topical point of this paper.

This study aims to critically review and analyse the classification of supply chain risks and disruptions and thereby suggest a suitable method for classifying maritime risks. It aims to discuss the propagation effects of port disruption on the supply chain and mitigation strategies.

In addition to secondary research, six semi-structured interviews were conducted with the management personnel of two terminal operators, two shipping lines and two insurance companies.

When a port disruption happens, the most immediate impact is the adverse effects on terminal operations. It also leads to a domino effect on other parties in the supply chain including shippers and consignees, shipping companies, inter-modal transport providers and other ports. Proper risk management needs to be embraced by the supply chain members. However, there is very little or no such collaboration between the supply chain members in practice.

This article proposes a more integrative approach in assessing various kinds of risks, and more research in this area to be done for Asia.

Risk management has been the concern for many stakeholders ranging from industry practitioners to the people who are affected by the maritime business throughout the world. The maritime industry should look into risk management in the maritime logistics and supply chain context instead of dealing with risk in isolation.

There is a serious lack of research for analysing supply chain disruptions with ports as a focal point. The paper contributes by filling the research gap.

This research develops a set of specific modern slavery disclosure principles for organisations. It critically evaluates seven legislative Acts from five different countries and 16 guidelines and directives from international organisations. By undertaking an in-depth content analysis, the research derives an index comprising nine principles and 49 disclosure items to promote best-practice disclosure in tackling modern slavery. We promote nine active principles for organisations to implement and disclose: recognising modern slavery practices, identifying risks, publishing a modern slavery risk prevention policy, proactive in assessing and addressing risks, assessing efficacy of actions, garnering internal and external oversight, externally communicating modern slavery risk mitigation, implementing a suppliers' assessment and code of conduct to ensure transparency and specifying consequences for non-compliance. The research is motivated by the United Nations Sustainable Development Goal 8, which focusses on economic growth, full and productive employment and decent work. The research findings will assist practitioners seeking to discover and disclose evidence of modern slavery practices and their mitigation to minimise and encourage the elimination of this unethical and illegal practice in domestic and global supply chains and operations.