A review of supply chain risk management: definition, theory, and research agenda

The preliminary supply chain lessons of the COVID-19 disruption—What is the role of digital technologies?

The purpose of this research is to analyse the current body of knowledge on the relationship between the COVID-19 pandemic and its implications for global supply chains and their management. This research seeks to understand how the COVID-19 event leads to impacts, lessons, and proposed solutions for the operations of global supply chains. This study is based on a structured review of publications released on or before 31 December 2020. It includes established academic publications but also those emerging primarily from academic institutions in trade magazines and on the wider internet. Specifically, four research questions are addressed: How and where are disruptions caused by COVID-19 understood to impact global supply chains? How does the literature portray supply chain lessons from the COVID-19-related disruptions? How does the literature portray the suggested resilience-driven solutions for the future operation of global supply chains? Finally, how are digital technologies proposed as part of resilience-driven solutions to the future operation of global supply chains? Concerning the findings, the study contributes by developing a new theoretical understanding of the ongoing collective supply chain lessons of the COVID-19 disruption. Six supply chain vulnerabilities, six solutions or resilience capabilities and seven technology clusters deemed particularly useful in mitigating future pandemic disruptions are identified. In addition, the interrelationships between the different elements are explored and understood as an ongoing learning process comprising a process of evoking vulnerabilities, a process of reacting and devising change and a process of implementing change. Based on these findings, a set of managerial implications and avenues for future research are proposed.

Modifications to global supply chain management strategies resulting from recent trade disruptions: an exploratory study

Purpose

The purpose of this study is to explore modifications to the supply chain strategies of international manufacturers resulting from recent momentous trade disruptions, including the US-China trade war, global tariff escalations, Brexit and heightened geopolitical tensions.

Design/methodology/approach

The research methodology consisted of a series of in-depth personal interviews with senior supply chain executives of six large US international manufacturers.

Findings

The study identified several short-term reactive strategies taken, including pulling purchase orders or production forward, building inventory and applying for exceptions from tariffs, along with longer-term proactive strategies such as shifting and expanding supplier and manufacturing locations.

Research limitations/implications

The study’s limitations involve its small sample size and its findings being industry and company-specific to a limited number of firms. While the sample size was deemed sufficient for this exploratory study, larger sample sizes and subsequent industry-specific analyses are recommended.

Practical implications

The global supply chain modifications effectively used by the firms in the study can offer guidance for practitioners facing similar challenges following major trade disruptions.

Originality/value

Due to the very recent emergence of the trade disruptors examined in this study, extant literature is limited. Hence, the findings noted in the paper offer not only guidance for practitioners but also make a strong contribution to research and literature on global supply chain risk management and disruption risk mitigation.

Improving supply chain resilience through industry 4.0: A systematic literature review under the impressions of the COVID-19 pandemic

The COVID-19 pandemic is one of the most severe supply chain disruptions in history and has challenged practitioners and scholars to improve the resilience of supply chains. Recent technological progress, especially industry 4.0, indicates promising possibilities to mitigate supply chain risks such as the COVID-19 pandemic. However, the literature lacks a comprehensive analysis of the link between industry 4.0 and supply chain resilience. To close this research gap, we present evidence from a systematic literature review, including 62 papers from high-quality journals. Based on a categorization of industry 4.0 enabler technologies and supply chain resilience antecedents, we introduce a holistic framework depicting the relationship between both areas while exploring the current state-of-the-art. To verify industry 4.0's resilience opportunities in a severe supply chain disruption, we apply our framework to a use case, the COVID-19-affected automotive industry. Overall, our results reveal that big data analytics is particularly suitable for improving supply chain resilience, while other industry 4.0 enabler technologies, including additive manufacturing and cyber-physical systems, still lack proof of effectiveness. Moreover, we demonstrate that visibility and velocity are the resilience antecedents that benefit most from industry 4.0 implementation. We also establish that industry 4.0 holistically supports pre-disruption resilience measures, enabling more effective proactive risk management. Both research and practice can benefit from this study. While scholars may analyze resilience potentials of under-explored enabler technologies, practitioners can use our findings to guide industry 4.0 investment decisions.

Measuring Circular Supply Chain Risk: A Bayesian Network Methodology

The world is facing economic, as well as social, crisis due to the COVID-19 pandemic. Implementing sustainable practices is one of the possible ways to address these issues. Adopting circular oriented techniques throughout the supply chain not only guarantees economic profitability, but also provides an edge to the organization in the market of fierce global competition. The concept of implementing circularity in the supply chain is novel and dynamic in nature, and it involves certain risk. In this study, a Bayesian Network methodology is adopted to analyze how the risk propagation takes place in a circular supply chain network of an automobile organization. The circular supply chain network consists of a group of manufacturers, retailers and recyclers, located in the Delhi–NCR region. Economic, environmental, social, technological, waste management, agile vulnerability, and risk of cannibalization are the major risk categories that were identified through an extensive literature review. Further, the impact of risk on the performance of the circular supply chain is analyzed by considering performance parameters such as lost sales, impact on supply chain revenue, and inventory holding cost. Risk exposure index is incorporated into the study to analyze the vulnerability of each node. The findings of the study reveal that the reverse side of the circular supply chain can be a source of risk propagation during the implementation of the circularity concept. This work is carried out under a single industry domain. In the future, risk propagation analysis can be examined in the supply chain of other sectors. The findings of the study can assist the supply chain managers and the risk experts to focus on the areas that are more vulnerable to risk.

Sustainable Development of a Mobile Payment Security Environment Using Fintech Solutions

Financial technology (fintech) services have come to differentiate themselves from traditional financial services by offering unique, niche, and customized services. Mobile payment service (MPS) has emerged as the most crucial fintech service. While many studies have addressed the essential role of security when service providers and users choose to engage in financial transactions, the relationship between users distinct perceptions of security and MPS success determinants are yet to be examined. Thus, this study primarily aims to uncover the distinctive roles of platform and technology security by investigating how users react differently to their varying understandings of the MPS usage environment. This study proposes a research model comprising two security dimensions (platform and technology) and three MPS success determinants (convenience, interoperability, and trust). We evaluated the proposed model empirically by using an online survey of 356 users. The survey accounts users experiences of the selected MPS. The results show that a security driven MPS can essentially enhance or deteriorate users positive perceptions of MPS success determinants while they use it for financial transactions. To further understand how this recent trend of user perception of security affects the overall MPS usage experience, this study provides theoretical insights into the roles of platform and technology securities. Managerial insights on the design strategies of MPS providers are also provided based on the potential implications of users subjective and objective perceptions of MPS security environment.

A scale for measuring organizational risk management maturity in the supply chain

Purpose

The purpose of this research is to develop a validated general measure of supply chain risk management maturity (SCRMM) to assess organizational risk management maturity in the context of the supply chain (SC).

Design/methodology/approach

Dimensions and statements measuring SCRMM were developed through a literature review and consultation with experts. The instrument was refined through a pilot study and a full-scale study of 140 SC managers in the USA. A final SCRMM instrument, consisting of 25 statements, was obtained through scale purification, exploratory factor analysis, reliability analysis, and confirmatory factor analysis of construct validity. Cluster analysis was conducted to characterize the organizational groupings with respect to the instrument dimensions.

Findings

SCRMM was found to be comprised of the three main dimensions of SC Risk Management Orientation, Enterprise Risk Management Integration (ERMI), and SC Risk Collaboration. ERMI was found to be comprised of the three sub-dimensions of SC Risk Mitigation, Improvement of Risk Management Processes, and Organization Internal Risk Management. Cluster analysis revealed three groups characterized according to SCRMM as leaders, followers, and laggards.

Research limitations/implications

The findings are based on a sample in the USA, so the SCRMM scale may not generalize to supply chains in other countries or geographic regions.

Practical implications

The instrument provides a self-assessment and benchmark tool for businesses to advance their SC risk management through different stages of maturity.

Originality/value

This is a pioneering general instrument that treats risk management maturity of the organization in the context of the SC. Participants span many industries and SC positions.

AI technologies and their impact on supply chain resilience during COVID-19

Purpose

COVID-19 has pushed many supply chains to re-think and strengthen their resilience and how it can help organisations survive in difficult times. Considering the availability of data and the huge number of supply chains that had their weak links exposed during COVID-19, the objective of the study is to employ artificial intelligence to develop supply chain resilience to withstand extreme disruptions such as COVID-19.

Design/methodology/approach

We adopted a qualitative approach for interviewing respondents using a semi-structured interview schedule through the lens of organisational information processing theory. A total of 31 respondents from the supply chain and information systems field shared their views on employing artificial intelligence (AI) for supply chain resilience during COVID-19. We used a process of open, axial and selective coding to extract interrelated themes and proposals that resulted in the establishment of our framework.

Findings

An AI-facilitated supply chain helps systematically develop resilience in its structure and network. Resilient supply chains in dynamic settings and during extreme disruption scenarios are capable of recognising (sensing risks, degree of localisation, failure modes and data trends), analysing (what-if scenarios, realistic customer demand, stress test simulation and constraints), reconfiguring (automation, re-alignment of a network, tracking effort, physical security threats and control) and activating (establishing operating rules, contingency management, managing demand volatility and mitigating supply chain shock) operations quickly.

Research limitations/implications

As the present research was conducted through semi-structured qualitative interviews to understand the role of AI in supply chain resilience during COVID-19, the respondents may have an inclination towards a specific role of AI due to their limited exposure.

Practical implications

Supply chain managers can utilise data to embed the required degree of resilience in their supply chains by considering the proposed framework elements and phases.

Originality/value

The present research contributes a framework that presents a four-phased, structured and systematic platform considering the required information processing capabilities to recognise, analyse, reconfigure and activate phases to ensure supply chain resilience.

Supply risk identification in manufacturing supply networks

Purpose

Managing supply risk is gaining in importance in the tightly interconnected global economy. Identifying the relevant risks is the foundation of any risk management process. Therefore, the purpose of this paper first is to provide a short introduction to supply risk management, before focussing on the identification of such risks in more detail. A holistic framework of the identified supply risks, which distinguishes between risk dimensions and risk factors in manufacturing upstream supply networks, is proposed.

Design/methodology/approach

This study applies a mixed methods research approach. Data are collected based on a structured literature review in combination with the analysis of company-specific documents and semi-structured expert interviews. Subsequently, a deductive content analysis is carried out to derive a holistic framework of supply risks, adapted to the manufacturing industry. For the external validation of the conceptual supply risk framework, additional experts from several manufacturing companies were consulted.

Findings

Based on the definition and delimitation of supply risk, a categorization of supply risks is developed. The relevant literature, as well as expert interviews, lead to the distinction of six supply risk dimensions: quality, delivery, collaboration, economic, ambience and compliance. A total of 27 risk factors can be assigned to these dimensions. A holistic foundation for the management of supply risk is thus created.

Originality/value

This study provides a holistic framework of relevant supply risks in the context of the manufacturing industry. This overview of identified risks offers a novel perspective on risk in manufacturing supply networks that can be helpful in researching assessment and mitigation strategies. Despite the high relevance and popularity of this field of research, such an overview with a focus on manufacturing had not yet been made available in the literature. Building thereon, management approaches can now be developed to handle the risk arising from the upstream of the supply network.

Supply chain risk mitigation strategies during COVID-19: exploratory cases of “make-to-order” handloom saree apparel industries

Purpose

This study attempts to identify the supply chain risks (SCRs) induced during the COVID-19 disruption in an Indian handloom saree industry and determine suitable risk mitigation strategies (RMSs) to overcome the impact of the epidemic disruption.

Design/methodology/approach

This work determined 11 SCRs through an extensive literature review in the context of the handloom apparel industry and validated through the experts. Further, a multiple case-based approach is used in this research. Within case and cross-case analyses of four relevant Indian handloom “make-to-order” saree manufacturing firms are conducted to determine the severity of the SCRs considering the pandemic situations to identify appropriate strategies to mitigate the shock of SCRs.

Findings

This study identified the critical SCRs in the context of the Indian handloom “make-to-order” saree industries that emerged during the COVID-19 and proposed a risk mitigation strategy matrix (RMSM) to address the SCRs based on their criticality and predictability dimensions.

Research limitations/implications

The study provides a novel contribution to the body of knowledge on supply chain risk management (SCRM) in the form of the RMSM tool. Supply chain managers from the different sectors can extend the proposed RMSM to overcome the SCRs. Multiple case analyses facilitate supply chain professionals working in handloom apparel industries to benchmark and adopt the proposed RMSs in their firm.

Originality/value

This research is one of its kind that carried exploratory investigation of the handloom apparel industry cases to assess and determine the strategies for mitigating the SCRs caused during a pandemic outbreak.

COVID-19 pandemic related supply chain studies: A systematic review

The global spread of the novel coronavirus, also known as the COVID-19 pandemic, has had a devastating impact on supply chains. Since the pandemic started, scholars have been researching and publishing their studies on the various supply-chain-related issues raised by COVID-19. However, while the number of articles on this subject has been steadily increasing, due to the absence of any systematic literature reviews, it remains unclear what aspects of this disruption have already been studied and what aspects still need to be investigated. The present study systematically reviews existing research on the COVID-19 pandemic in supply chain disciplines. Through a rigorous and systematic search, we identify 74 relevant articles published on or before 28 September 2020. The synthesis of the findings reveals that four broad themes recur in the published work: namely, impacts of the COVID-19 pandemic, resilience strategies for managing impacts and recovery, the role of technology in implementing resilience strategies, and supply chain sustainability in the light of the pandemic. Alongside the synthesis of the findings, this study describes the methodologies, context, and theories used in each piece of research. Our analysis reveals that there is a lack of empirically designed and theoretically grounded studies in this area; hence, the generalizability of the findings, thus far, is limited. Moreover, the analysis reveals that most studies have focused on supply chains for high-demand essential goods and healthcare products, while low-demand items and SMEs have been largely ignored. We also review the literature on prior epidemic outbreaks and other disruptions in supply chain disciplines. By considering the findings of these articles alongside research on the COVID-19 pandemic, this study offers research questions and directions for further investigation. These directions can guide scholars in designing and conducting impactful research in the field.

Incorporating the risk of knowledge loss in supply chain risk management

Purpose

The literature on supply chain risk management (SCRM) has investigated a multitude of supply chain risks. This paper aims to make a case for the importance of managing the risk of knowledge loss in the supply chain management (SCM) function and incorporating knowledge loss as a critical risk within the SCRM process.

Design/methodology/approach

This paper adopts a knowledge-based view of the SCRM process and attempts to bring to light insights based on a synthesis of the relevant literature. The authors conducted a systematic literature review of peer-reviewed articles published between 1998 and 2019. Further, a case study was conducted to illustrate the significance of the risk of knowledge loss in the SCM function in terms of how it operates and why it has such a significant impact on performance.

Findings

Knowledge loss is a relatively neglected type of supply chain risk that can be added to the existing typologies. This paper argues that knowledge loss in the SCM function has the propensity to significantly impact the performance of the focal firm, exacerbate other types of supply chain risk and impede risk mitigation efforts. We put forth several strategies that supply chain managers can adopt to mitigate the risk of knowledge loss in their function.

Research limitations/implications

This paper generates an exploratory opening that could pave the way for a systematic theory of knowledge loss as a supply chain risk and future empirical research. The study culminates in a number of important insights and initiatives for supply chain managers to recognize and manage the risk of knowledge loss.

Originality/value

This paper argues for the importance of incorporating the risk of knowledge loss in SCRM research and practice. It also provides an examination of some promising angles for future research in SCRM from a knowledge-based perspective.

Strategies to mitigate the impact of COVID-19 on supply chain disruptions: a multiple case analysis of buyers and distributors

Purpose

This paper explores the steps/countermeasures taken by buying and distributing firms to address supply chain disruptions caused by COVID-19.

Design/methodology/approach

This study employs a multiple case study methodology and conducts 36 semi-structured interviews with senior managers of nine different firms producing, procuring or distributing products from China and other highly impacted South Asian regions (Pakistan, Sri Lanka, India).

Findings

Results reveal that buying firms are moving to agile production, focusing on tier-1 supplier risk, enhancing inbound material visibility and temporarily closing production facilities to respond to the challenges posed by COVID-19. Furthermore, distribution centres are modifying their inventory policies, evaluating alternative outbound routes and sources of supply to manage disruptions caused to their business operations amid COVID-19 outbreak.

Practical implications

Supply chain firms can use the countermeasures provided in this study to mitigate the impact of COVID-19 and make the best out of this pandemic.

Originality/value

This study contributes to the supply chain literature by exploring the countermeasures taken by firms to mitigate the impact of COVID-19. In particular, this study explores such countermeasures from the perspective of two different entities (buyers and distributors) along the supply chain. Firms can use the countermeasures highlighted in this study to mitigate the impact of COVID-19 on the supply chain.

Supplier Selection Risk: A New Computer-Based Decision-Making System with Fuzzy Extended AHP

Supplier risks have attracted significant attention in the supply chain risk management literature. In this article, we propose a new computational system based on the ‘Fuzzy Extended Analytic Hierarchy Process (FEAHP)’ method for supplier selection while considering the relevant risks. We sought to evaluate the opportunities and limitations of using the FEAHP method in supplier selection and analyzed the support of the system developed through the real case of a Brazilian oil and natural gas company. The computational approach based on FEAHP automates supplier selection by determining a hierarchy of criteria, sub-criteria, and alternatives. First, the criteria and sub-criteria specific to the selection problem were identified by the experts taking the relevant literature as a starting point. Next, the experts performed a pair-wise comparison of the predefined requirements using a linguistic scale. This evaluation was then quantified by calculating the priority weights of criteria, sub-criteria, and alternatives. The best decision alternative is the one with the highest final score. Sensitivity analysis was performed to verify the results of the proposed model. The FEAHP computer approach automated the supplier selection process in a rational, flexible, and agile way, as perceived by the focal company. From this, we hypothesized that using this system can provide helpful insights in choosing the best suppliers in an environment of risk and uncertainty, thereby maximizing supply chain performance.

Can supply chain risk management practices mitigate the disruption impacts on supply chains' resilience and robustness? Evidence from an empirical survey in a COVID-19 outbreak era

This study investigates the role of supply chain risk management (SCRM) in mitigating the effects of disruptions impacts on supply chain resilience and robustness in the context of COVID-19 outbreak. Using structural equation modeling on a survey data from 470 French firms, the results confirm the basic tenets of resource-based view and organizational information processing theories regarding the combination of dynamic resources to face disruptions' uncertainty. Furthermore, the findings reveal the mediating role of SCRM practices and the prominent role they play in fostering supply chain resilience and robustness. Overall, by providing empirical assessment of a comprehensive SCRM framework, this research contributes to the extant literature and suggests further avenues for research.

A seller perspective on economic and non-economic satisfaction as precursors to formalisation, specific investments and dependence in business relationships

Purpose

Seen from the seller's point of view, this study examines economic and non-economic satisfaction as distinct conceptual variables, and tests how the constructs relate to each other and to the business transactional cost variables of formalisation, specific investments and dependence.

Design/methodology/approach

Data was collected from 213 key informants from Norwegian companies involved in business-to-business marketing. Structural equation modelling was used to test the posited hypotheses.

Findings

The findings show that sellers' economic satisfaction exerts a positive influence on non-economic satisfaction and on formalisation, while its posited influence on specific investments was not found to be significant. Formalisation was, however, not significantly influenced by seller non-economic satisfaction. Specific investment was positively influenced by seller non-economic satisfaction. The influence of formalisation on specific investments and dependence was significant. Specific investments were also found to be positively influenced by dependence.

Research limitations/implications

The study reveals the importance of assessing both economic and non-economic satisfaction in trying to understand sellers' behaviour in business-to-business markets.

Practical implications

The findings show the need for managers to ensure economic satisfaction, as its affects non-economic satisfaction.

Originality/value

This study contributes to a better understanding of satisfaction in business-to-business exchange relationships and its relationship with transactional cost constructs based on a seller's perspective.

Risk Management Maturity Model for Logistic Processes

Recently, the maturity models for risk management are attracting growing attention. The obtained maturity level defines an assessment of an organization’s management competence. Therefore, as a set of various tools and practices, the maturity model is critical for a company’s overall risk maintenance strategy development and implementation. Thus, the purpose of this article is to present a model for risk management maturity for logistic processes. We investigated the main defined assessment areas for risk maturity model implementation in logistic systems. Based on research findings, we introduced a new risk maturity assessment area based on participation in the supply chain—cooperation at risk. The proposed model constitutes the base for a two-stage assessment method implementation, where the global maturity index is introduced. Finally, we implement the proposed two-stage assessment method to verify the proposed model’s diagnostic function and determine its labor intensity. The study confirmed that the five defined maturity areas (knowledge, risk assessment, process risk management, cooperation at risk, and risk monitoring) provide a complex diagnostic tool for risk maturity level identification and, based on the obtained results, allows to define an appropriate development strategy for a given decision-making environment.

Entrepreneurial Behavior of SMEs and Characteristics of the Managers of Northwest Mexico

The objective of this study is to determine the difference in the entrepreneurial behavior of companies based on the demographic characteristics of their manager or leader. To comply with the above, a quantitative, transversal, and non-experimental research study was carried out, which consisted in applying an instrument to 262 managers of small and medium enterprises (SMEs) in a northern city in Mexico. The collected information was analyzed in the software SPSS, version 26, with statistical testing by the Mann-Whitney and Kruskal-Wallis tests. The main findings show that these companies have differences in their entrepreneurial behavior based on the age and educational level of their managers, while gender and seniority at work are not differentiating elements in relation to the above. This research generates different possibilities of studies to be carried out in large companies from other sectors, and suggests the inclusion of behavioral characteristics as study variables.

Paths to Innovation in Supply Chains: The Landscape of Future Research

This chapter presents a Strategic Research and Innovation Agenda for supply chain and it is the result of an intensive work jointly performed involving a wide network of stakeholders from discrete manufacturing, process industry and logistics sector to put forward a vision to strengthen European Supply Chains for the next decade. The work is based on matching visions from literature and from experts with several iterations between desk research and workshops, focus groups and interviews. The result is a detailed analysis of the supply chain strategies identified as most relevant for the next years and definition of the related research and innovation topics as future developments and steps for the full implementation of the strategies, thus proposing innovative and cutting-edge actions to be implemented based on technological development and organisational change.

A systematic literature review on supply chain risk management: is healthcare management a forsaken research field?

Purpose

This paper aims to present a systematic literature review (SLR) to investigate how supply chain risk management (SCRM) is applied to the healthcare supply chains and which improvement opportunities are being missed in this segment.

Design/methodology/approach

This SLR used the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) method to answer three research questions: (1) Which are the main gaps concerning healthcare supply chain risk management (HCSCRM)? (2) What is the definition of HCSCRM? and (3) What are the risk management techniques and approaches used in healthcare supply chains?

Findings

The authors present a complete summary of the HCSCRM body of research, investigating research strings like clinical engineering and high reliability organizations (HROs) and its relations with HCSCRM; (1) This research revealed the five pillars of HCSCRM; (2) The authors proposed a formal definition for HCSCRM considering all the literature blocks explored and (3) The authors generated a list of risks present in healthcare supply chains resulting from extensive article research.

Research limitations/implications

The authors only reviewed international journal articles (published in the English language), excluding conference papers, dissertations and theses, textbooks, book chapters, unpublished articles and notes. In addition, the study did not thoroughly investigate specific countries' particularities concerning how the healthcare providers are organized.

Originality/value

The contribution of this article is threefold: (1) To the best of authors knowledge, there is no other SLR about HCSCRM published in the scientific literature by the time of realization of authors’ work, suggesting that is the first effort to fulfill this research gap; (2) Following the previous contribution, in this work the authors propose a first formal definition for HCSCRM and (3) The authors analyzed concepts such as clinical engineering and HROs to establish the building blocks of HCSCRM.

The application of theory in literature reviews – illustrated with examples from supply chain management

Purpose

Literature review articles have become a frequently applied research approach in operations and supply chain management (SCM). The purpose of this paper aims to elaborate on four approaches for developing or employing theory in systematic literature reviews (SLRs).

Design/methodology/approach

The paper uses conceptual arguments and illustrates them by pointing to recent examples. In SLRs, the material collection is usually based on keywords and searching databases, which is comparatively well documented. Data analysis, however, often falls short in documentation and, consequently, is neither well explained nor replicable. Therefore, the focus of this paper is the elaboration of the data analysis and sense-making stage in the research process of SLRs.

Findings

The paper presents four different approaches, which are characterized as theory (1) building, (2) modification, (3) refinement and (4) extension, based on whether new concepts are formed or extant concepts within SCM or other fields of management theory are adopted.

Research limitations/implications

The limitation of this research is that literature reviews could be conducted and presented in many ways. Since the focus of this research is on systematic literature reviews, only a limited number of approaches can be discussed and presented here.

Originality/value

The paper contributes to explaining the process and expected outcomes of a literature review and, therefore, aids in further developing the related methodological approaches. This is relevant as literature review publications now often replace conceptual or theoretical pieces but still have to deliver concerning demands of theory building.

Development of a supply chain risk mitigation index for distillery

Purpose

A huge number of events can affect the operations of a long and complicated supply chain. This paper deals with the development of a supply chain risk mitigation index (SCRMI) based on a risk mitigation maturity framework. A comprehensive list of supply chain risks has been ascertained and segregated into risks faced at various supply chain echelons through a detailed literature review.

Design/methodology/approach

This paper is based on an extensive literature review and questionnaire to identify risks. order of magnitude analytic hierarchy process (OM-AHP) was used as the methodology to assess the prioritization of supply chain risks under two clusters, viz., Probability and severity leading to risk were tested in a distillery.

Findings

SCRMI was determined and used to categorize their maturity level in facing supply chain risks. Thus, organization can focus on improvements for their specific needs.

Research limitations/implications

The model was tested in the distillery industry. It should be tested in other contexts with other methods to provide generalizability.

Practical implications

This research provides direction to managers for choosing risk mitigation strategies based on the global supply chain environment. SCRMI can be a performance metric for the supply chain managers.

Originality/value

The manufacturer's readiness to take action in the face of disruptions in the supply chain is a critical challenge in today's complex business environment and SCRMI framework is instrumental in such business environment.

Proactively and reactively managing risks through sales & operations planning

Purpose

Risks can easily disrupt the demand–supply match targeted by sales and operations planning (S&OP). As surprisingly little is known of how organizations identify, assess, treat and monitor risks through tactical planning processes, this paper zooms in on the S&OP set-up and process parameters to explore how risks are managed through S&OP.

Design/methodology/approach

A multiple case study analyzes the S&OP processes of seven organizations in the process industry, drawing on 17 in-depth interviews with high-ranking representatives, internal and external documents, and a group meeting with participating organizations.

Findings

The study finds that organizations proactively design their S&OP based on their main risk focus stemming from the planning environment. In turn, such designs proactively support organizations' risk identification, assessment, treatment and monitoring through their S&OP execution. Reactively, a crisis S&OP meeting – making use of the structure of S&OP – can be used as a risk-treatment tool, and S&OP design can be temporarily adapted to deal with emerging risks.

Originality/value

This study is among the first to empirically elucidate risk management through S&OP. S&OP design, execution and adaption are identified as three interconnected strategies that allow organizations to manage risks. The design enables risk management activities in the monthly execution of S&OP. The reactive role of S&OP in risk management is particularly novel.

The development of supply chain risk management over time: revisiting Ericsson

Purpose

This invited article explores current developments in supply chain risk management (SCRM) practices by revisiting the classical case of Ericsson (Norrman and Jansson, 2004) after 15 years, and updating its case description and analysis of its organizational structure, processes and tools for SCRM.

Design/methodology/approach

An exploratory case study is conducted with a longitudinal focus, aiming to understand both proactive and reactive SCRM practices using a holistic perspective of a real-life example.

Findings

The study demonstrates how Ericsson's SCRM practices have developed, indicating that improved functional capabilities are increasingly combined across silos and leveraged by formalized learning processes. Important enablers are IT capabilities, a fine-grained and cross-functional organization, and a focus on monitoring and compliance. Major developments in SCRM are often triggered by incidents, but also by requirements from external stakeholders and new corporate leaders actively focusing on SCRM and related activities.

Research limitations/implications

Relevant areas for future research are proposed, thereby increasing the knowledge of how companies can develop SCRM practices and capabilities further.

Practical implications

Being one of few in-depth holistic case studies of SCRM, decision-makers can learn about many practices and tools. Of special interest is the detailed description of how Ericsson reactively responded to the Fukushima incident (2011), and how it proactively engaged in monitoring and assessment activities. It is also exemplified how SCRM practices could continuously be developed to make them “stick” to the organization, even in stable times.

Originality/value

This is one of the first case studies to delve deeper into the development of SCRM practices through taking a longitudinal approach.

Introducing Risk Considerations into the Supply Chain Network Design

Supply chains (SC) aim to provide products to the final customer at a certain service level. However, unforeseen events occur that impede supply chain objectives. SC Risk has been studied in the literature, providing frameworks and methodologies to manage SC failures. Nevertheless, more efforts are needed to prevent hazardous and disruptive risks and their consequences. These risks must be considered during the process of designing a supply chain. Some methodological contributions concerning risk in the supply chain network design (SCND) are conceptual frameworks for mitigating SC disruptions, which suggest strategies and measures for designing robust and resilient SCs. Although such contributions are valuable, they do not indicate how to cope with risk when designing a SC. The main objective of this research is to describe a methodology aimed at including risk considerations into the SCND. Our proposal aims to be, on the one hand, a comprehensive approach that includes a risk identification and assessment procedure in each of the stages of the SCND process and, on the other hand, a tool for decision-making in SC design or redesign processes when SC risks need to be considered. The methodology proposed is an extension of a SCND methodology including risk considerations in order to improve the performance of the supply chains. A case study illustrates how the proposed methodological works, achieving the identification of SC risks already observed in previous works.

A production recovery plan in manufacturing supply chains for a high-demand item during COVID-19

Purpose

A recent global pandemic, known as coronavirus disease 2019 (COVID-19), affects the manufacturing supply chains most significantly. This effect becomes more challenging for the manufacturers of high-demand and most essential items, such as toilet paper and hand sanitizer. In a pandemic situation, the demand of the essential products increases expressively; on the other hand, the supply of the raw materials decreases considerably with a constraint of production capacity. These dual disruptions impact the production process suddenly, and the process can collapse without immediate and necessary actions. To minimize the impacts of these dual disruptions, we aim to develop a recovery model for making a decision on the revised production plan.

Design/methodology/approach

In this paper, the authors use a mathematical modeling approach to develop a production recovery model for a high-demand and essential item during the COVID-19. The authors also analyze the properties of the recovery plan, and optimize the recovery plan to maximize the profit in the recovery window.

Findings

The authors analyze the results using a numerical example. The result shows that the developed recovery model is capable of revising the production plan in the situations of both demand and supply disruptions, and improves the profit for the manufacturers. The authors also discuss the managerial implications, including the roles of digital technologies in the recovery process.

Originality/value

This model, which is a novel contribution to the literature, will help decision-makers of high-demand and essential items to make an accurate and prompt decision in designing the revised production plan to recover during a pandemic, like COVID-19.

Hidden allies for value chain responsibility? A system theory perspective on aligning sustainable supply chain management and trade compliance

Purpose

The paper investigates how the alignment of two corporate functions, sustainable supply chain management (SSCM) and trade compliance (TC) can help companies to take corporate value chain responsibility (VCR). In particular, the authors investigate how evolutionary system theory can explain the coevolution of two distinct VCR functions (SSCM and TC) and the potential and challenges for their future alignment.

Design/methodology/approach

The authors introduce evolutionary system theory as a powerful explanatory perspective to the field of VCR, SSCM and TC. By applying evolutionary system theory to the VCR debate, the authors analyze the potential for aligning both functions. They further analyze the inherent challenges of such an alignment by discussing the concept of organizational path dependencies.

Findings

The paper spells out a research agenda and formulates testable propositions for further investigating the interplay of environment and system as well as the structural options for a functional alignment of SSCM and TC.

Originality/value

The corporate function of TC has been widely overlooked by supply chain and sustainability scholars. This paper adds the function of TC to the wider discussion on SSCM and corporate VCR. Furthermore, the paper develops a research agenda for a pioneer topic and triggers discussion in academia and corporate practice.

Supplier-initiating risk management behaviour and supply-side resilience: the effects of interpersonal relationships and dependence asymmetry in buyer-supplier relationships

Purpose

The aim of the study is to explore how two dimensions of interpersonal relationships (i.e. size and range of relationships) affect supplier-initiating risk management behaviours (SIRMB) and supply-side resilience. Further, the study aims to explore the moderating role of dependence asymmetry.

Design/methodology/approach

Nine hypotheses are tested based on a moderated mediation analysis of survey data from 247 manufacturing firms in China. The data are validated using a subset of 57 attentive secondary respondents and archival data.

Findings

SIRMB positively relates to supply-side resilience. Further, SIRMB mediates the positive relationship between range and supply-side resilience, and this relationship is stronger at lower levels of dependence asymmetry. Yet, although dependence asymmetry positively moderates the relationship between range and SIRMB, it negatively moderates the relationship between size and SIRMB. We did not, however, find evidence that size has a conditional indirect effect on supply-side resilience through SIRMB.

Practical implications

Managers in buying firms can incentivise SIRMB to enhance supply-side resilience by developing a diverse rather than a large set of interpersonal relationships with a supplier. This might include allocating particular employees with a wide range of contacts within a supplier to that relationship, while it may be necessary to adopt different networking strategies for different supplier relationships. Firms in a highly asymmetrical relationship may seek to raise supplier expectations about the necessity to initiate risk management behaviour or look to change the dynamic of the relationship by managing contracts for fairness.

Originality/value

New knowledge on SIRMB as a mediating variable underpinning the relationship between interpersonal relationships and supply-side resilience is provided; and empirical evidence on the opposing moderation effect of dependence asymmetry is presented.

Management strategies for supply risk dependencies: empirical evidence from the gulf region

Purpose

The purpose of this study is to propose a conceptual model for managing supply risk (SR) dependencies in regional supply networks (SNs). Grounded on resource dependency theory (RDT), the research conceptualises the management of SR as buffering and bridging strategies that enable organisations to redefine their SN to cope with SR and as a three-stage transformation mechanism.

Design/methodology/approach

Four supply failure case studies from the aluminium and the oil and gas industries in the Gulf Cooperation Council (GCC) region inductively provide empirical insights for a revised conceptual framing. Within and cross case analysis on transcribed semi-structured interviews with 11 SN managers focus on the SRs and dependencies associated with the supply failures and an abstraction of risk management (RM) strategies for coping with these failures.

Findings

The analysis finds that underpinning ‘second-order’ buffering and bridging strategies from RDT are four main ‘first-order’ RM strategies: unit independency, organisational adaptation, network reconfiguration and environmental acceptance. These RM strategies are due to controllability and predictability levels that influence investment in RM and reflect the locations for implementing RM practices, i.e. the business unit, the organisation, the SN and the environment.

Originality/value

The article contributes to research through the conceptual framework of SR dependencies and unique insights on SR management within the GCC region. Practically, the research is novel in offering strategic directions for RM evaluations and investments that reflect the controllability and predictability of risk incidents. Such evaluations are potentially valuable in orchestrating regional SNs, for managing GCC companies in global supply chains, and for strategic decisions to expand or outsource to the GCC region.

Benchmarking the relationship between supply chain risk mitigation strategies and practices: an integrated approach

Purpose

The purpose of this paper is to explore the relationship between various risk management strategies and risk management practices in order to design and hence enact a suitable supply chain risk mitigation (RM) plan. Additionally, this study proposes a hierarchical framework to explain the mutual relationship between supply chain risk management (SCRM) practices and strategies by considering the underlying dimensions between them.

Design/methodology/approach

An amalgamation of systematic literature analysis (SLA) and correspondence analysis (CA) has been performed to develop the conceptual framework. A real-life case of Indian petroleum supply chain has been considered to validate and explain the proposed model.

Findings

The results reveal three underlying dimensions, which associate the relationship between RM strategies. They are, risk adaptability of SC managers with a variance of 34.71%, followed by resource capability of the firm and the degree of sophistication of RM practices, with variances of 27.72 and 20.35%, respectively. Risk avoidance strategy comprises of practices such as supplier evaluation, technology adaption, flexible process and information security. On the other extreme, the risk sharing strategy includes revenue sharing, insurance, collaboration, public–private partnership and so on as essential RM practices.

Research limitations/implications

The study not only focuses on the distinction between RM strategies and practices, which were used interchangeably in the prior literature, but also provides an association between the same by exploring the underlying dimensions. These underlying dimensions perform a crucial role while developing a risk management plan. This study explicitly focuses on the RM step of SCRM process. Pre and post risk mitigation phases of SCRM process, such as risk assessment and risk monitoring, are beyond the scope of the current research.

Originality/value

The paper develops a framework for mapping various RM strategies with their corresponding practices by considering the Indian petroleum supply chain as a viable case study. Various theoretical and business implications are derived in the context of the developing country.

The Six Sigma framework improves the awareness and management of supply-chain risk

Purpose

Modern supply chains are at risk as a result of increasing disturbance. The use of Lean and Six Sigma’'s values, methods and tools can be one option to analyze, prevent and mitigate risks. The purpose of this study is to investigate whether a combined Lean Six Sigma philosophy can support the awareness and management of supply-chain risk.

Design/methodology/approach

The methodology followed in the study is based on a literature review and multiple case study, performed by means of qualitative methods of data collection, such as observations on-site, face-to-face interviews and document analysis. Case selection includes the results of research conducted in seven large Swedish companies.

Findings

It has been indicated that Lean and Six Sigma values, methods and tools can be very effective in companies’ efforts to control the supply-chain risks and that they improve the companies’ ability to handle variability and risk management. Lean Six Sigma supports a risk-management culture in the focal companies, but they must involve customers and companies in the supply chain if they wish to create a risk-management culture in the entire supply chain. In order to do this, they can use the Six Sigma training structure, but they need to include more risk tools and methods developed for the supply chain management. It has also been indicated in the literature that if more people involve in 6S projects, the financial results will be better, and the innovation of processes will increase.

Research limitations/implications

These include suggestions for how the companies can use the Six sigma training structure to collaborate in the supply chain.

Practical implications

This study gives practical suggestions for how the companies in supply chain can collaborate and use the Six Sigma training structure for creating a more holistic view of supply chain, which also decrease risks in supply chain.

Originality/value

This study indicates that Lean Six Sigma supports risk awareness and management in the focal companies of the supply chains, which improves companies’ ability to handle variability and risk management. It has also been demonstrated that the companies should use the Six Sigma framework, especially training, as a foundation, and they should create common projects for better collaboration in the supply chain, which will decrease the risks in the entire supply chain.

Bibliometric Analysis of Supplier Management: The Theme and Cluster Perspectives

This paper conducted a bibliometric analysis based on 4687 papers on supplier management from 1997 to 2017. Through a comparative analysis of the four stages using Bibexcel and Ucinet6 software, this paper explores the evolution of supplier management from the theme and cluster perspectives. The results show that supplier management research has made breakthroughs in both breadth and depth. Representative research themes, such as “sustainable supply chain”, “corporate social responsibility”, “knowledge management”, etc., have gradually penetrated into the field of supplier management. Research related to “supplier selection” and “supplier relations” have always been of the highest strategic importance, and themes in “supplier relations” cluster such as “trust” and “commitment” have gradually attracted more and more researchers’ attention. The “inventory” cluster has also been a research focus, and the structural stability and maturity of the cluster have gradually improved. The “innovation” cluster is a relatively “open” cluster, and its impact on the entire research filed of supplier management has been gradually increasing. More importantly, the “sustainability” cluster is an evolving cluster, research themes related to “sustainability”, such as “green supply chain”, “sustainable supply chain” and “green supplier selection”, will play an increasingly important role in the field of supplier management.

A conceptual framework for improving effectiveness of risk management in supply networks

Purpose

The purpose of the paper is to develop a conceptual framework for improving the effectiveness of risk management in supply networks following a critical literature review.

Design/methodology/approach

A critical review of 91 scholarly journal articles published between 2000 and 2018 supports the development of an integrated conceptual framework.

Findings

The findings emphasize that supply chain integration (SCI) can have both a positive and negative impact on the effectiveness of risk management in supply networks. It is possible to have a positive effect when SCI can be used to develop competencies in joint risk planning within the organization and with wider supply network members and, in turn, to develop collaborative risk management capabilities. Supply network characteristics can influence whether and the extent to which SCI has a positive or negative impact on risk management effectiveness.

Research implications

The conceptual framework can be used to empirically assess the role of SCI for effective risk management. Dynamic evaluation of the effectiveness of risk management and potential redesign of the supply network by considering other contingent factors are some future research avenues.

Practical implications

There is a need for developing specific competencies in risk planning within organizations and joint risk planning with supply network members which, in turn, can help develop collaborative risk management capabilities to improve the effectiveness of risk management in supply networks. Network characteristics will influence whether and the extent to which SCI results in the effectiveness of risk management.

Originality value

Moving beyond recent (systematic) reviews on supply chain risk management, this study develops a novel conceptual framework interlinking SCI and the effectiveness of risk management while considering network characteristics.

A Neutrosophic AHP and TOPSIS Framework for Supply Chain Risk Assessment in Automotive Industry of Pakistan

Risk is inherent in all parts of life and brings consequences, but when it specifically emerges in supply chains, it is susceptible. Therefore, this study aims at identifying and assessing supply chain risks and developing criteria for managing these risks. Supply chain (SC) risks consist of complex, uncertain, and vague information, but risk assessment techniques in the literature have been unable to handle complexity, uncertainty, and vagueness. Therefore, this study presents a holistic approach to supply chain risk management. In this paper, neutrosophic (N) theory is merged with the analytic hierarchy process (AHP) and technique for order of preference by similarity to ideal solution (TOPSIS) to deal with complexity, uncertainty, and vagueness. Then the proposed methodology is practically implemented through a case study on the automotive industry. SC resilience, SC agility, and SC robustness were selected as criteria for managing supply chain risks and analyzed using N-AHP. Furthermore, seventeen risks were identified and assessed by using N-TOPSIS. Results suggest supply chain resilience is the most important criterion for managing supply chain risks. Moreover, supplier delivery delays, supplier quality problems, supplier communication failures, and forecasting errors are the most vulnerable risks that occur in supply chains of the automotive industry in Pakistan.

Diagnosis of delivery vulnerability in a logistics system for logistics risk management

Purpose

Delivery vulnerability is a critically important theme in logistics risk management. However, while logistics service providers often collect and retain massive amounts of logistics data, they seldom utilize such information to diagnose recurrent day-to-day logistics risks. Hence, the purpose of this paper is to investigate delivery vulnerabilities in a logistics system using its own accumulated data.

Design/methodology/approach

This study utilizes pragmatic business analytics to derive insights on logistics risk management from operations data in a logistics system. Additionally, normal accident theory informs the discussion of its management implications.

Findings

This study’s analytical results reveal that a tightly coupled logistics system can align with normal accident theory. Specifically, the vulnerabilities of such a system comprise not only multi-components but also interactive ones.

Research limitations/implications

The tailored business analytics comprise a research foundation for logistics risk management. Additionally, the important research implications of this study’s analytical results arrived at via such results’ integration with normal accident theory demonstrate the value of that theory to logistics risk management.

Practical implications

The trade-offs between logistics risk and logistics-system efficiency should be carefully evaluated. Moreover, improvements to such systems’ internal resilience can help to alleviate potential logistics vulnerabilities.

Originality/value

This pioneering analytical study scrutinizes the critical vulnerability issues of a logistics service provider and therefore represents a valuable contribution to the field of logistics risk management. Moreover, it provides a guide to retrieving valuable insights from existing stockpiles of delivery-vulnerability data.

Supply chain risk mitigation in South Africa: a case study of Eskom

Purpose

Interferences to supply chains (SC), regardless of whether they are regular, unplanned or intentional, are progressively distorting SC execution. As such, risk mitigation in SCs has received sufficient attention in the academic literature. However, there is scant research done on this topic within the African context, and none on the SC of electrical energy on that continent. In an effort to address this gap, the purpose of this paper is to focus on the SC department of Eskom, the primary utility company of South Africa and one of the largest on the continent.

Design/methodology/approach

Adopting a non-probability sampling approach utilising the purposive sampling technique to choose the sampling components from the target population, data were collected through semi-structured interviews as well as additional documentation in various forms. Data interpretation and codification thereof were done using ATLAS.ti 8 from which ten themes emerged.

Findings

The ten themes that emerged from the analysis of data show that SC risks emanate from value streams, information and affiliations, SC activities and external situations. Furthermore, these are brought into relief within the African context through examples and quotes from Eskom managers.

Research limitations/implications

Based on the findings, the paper makes five major recommendations that would broadly apply not only to SC risk management (SCRM) in Eskom, but also other African utility companies.

Practical implications

Companies in emerging economies such as South Africa and other Sub-Saharan countries face a unique set of challenges with regards to SCRM. Some of these are identified in this paper and appropriate recommendations have been made.

Social implications

Being the largest utility provider in Africa, services offered by Eskom are vital for economic development of South Africa as well as neighbouring countries. As such, the findings of this paper as well as the recommendations have social implications for economic development in that country as well as the region.

Originality/value

While SC risk management has been studied extensively in the academic literature, to the best of the authors’ knowledge, this is the first paper that attempts to study it within the context of South Africa with focal emphasis on one of the largest corporations in that country.

Modeling enablers of supply chain quality risk management: a grey-DEMATEL approach

Purpose

The purpose of this paper is to recognize and model the enablers of supply chain quality risk management (SCQRM) through an empirical study in the Indian automotive companies.

Design/methodology/approach

A systematic literature review was conducted to extract the key enablers of quality management (QM) and risk management in the context of manufacturing supply chains. A grey-based DEMATEL method was employed to identify and model the key enablers of SCQRM.

Findings

The results of empirical study showed that the effectiveness of QM and risk management systems for automotive supply chain is driven by a set of common enablers that could be employed for developing dedicated SCQRM systems. The common causal factors in the model such as the involvement of top leaders, inter-firm communication and strategic-level alignment between supply chain members on both these issues clearly state that there is a need for a broader policy at an early stage.

Practical implications

It is crucial for the automotive companies to develop and implement structured systems for SCQRM keeping in view the impact of any unaddressed quality risk on missed production targets, vehicle recalls and safety hazards.

Originality/value

This study ascertains the key enablers of SCQRM with emblematic focus on automotive industry and identifies if there are commonalities in these enablers.

Distribution and Inventory Planning in a Supply Chain Under Transportation Route Disruptions and Uncertain Demands

This article considers transportation disruptions and its detrimental impact on the quality of the enroute shipment. The authors consider a supply chain system of a short life cycle product that has a capacitated supplier, a retailer and multiple routes of transportation under different disruption risks, uncertain cost of transportation, and uncertain demands. The authors investigate a hybrid problem in which the firm needs to develop a suitable distribution strategy under disruption risks along with an optimal checking policy when faced with the supply of varying quantities of damaged items. The authors formulate a non-linear mathematical model in which the overall objective is to maximise the expected profit and to help the firm in decision making under uncertain environments. Lastly, a statistical study is carried out to perform uncertainty analysis.

Operational supply risk mitigation of SME and its impact on operational performance

Purpose

The purpose of this paper is to investigate how buyer–supplier social capital may help mitigate operational supply risk (OSR) of small- and medium-sized enterprises (SMEs). It empirically examines a framework that posits the direct and mediated impacts of three dimensions of buyer–supplier social capital – structural, relational and cognitive – and supplier integration on the OSR of SMEs and consequently their operational performance.

Design/methodology/approach

This study uses data collected via a questionnaire from 485 manufacturing SMEs in Bangladesh for analysis using structural equation modeling.

Findings

The analysis reveals that all the three dimensions of buyer–supplier social capital can effectively reduce the OSR of SMEs, either directly or indirectly through supplier integration. The mediating role of supplier integration in the relationship between social capital and OSR is confirmed and the negative impact of OSR on operational performances of SMEs is verified.

Research limitations/implications

Generalization of the findings needs to be prudent since the study gathered information only from manufacturing SMEs in Bangladesh on the buyer side of the buyer–supplier dyad.

Practical implications

Findings of this study can provide references for SME practitioners to formulate their OSR mitigation strategies for enhancing operational performance.

Originality/value

This study adds to the currently scarce literature on OSR of SMEs by combining antecedents and consequences of OSR in a single framework. It also extends the use of buyer–supplier social capital to risk mitigation research.

A neural network approach for retailer risk assessment in the aftermarket industry

Purpose

Given the competitive environment and complicated relationships in supply chains in the modern era, it is important to take into account internal and external risks. In addition, proper methods must be designed to evaluate these risks correctly. The purpose of this paper is to provide a suitable map based on the artificial neural network technique to assess and classify the risk levels of retailers who have interconnected rules in the downstream of the supply chain.

Design/methodology/approach

In this research, a model for risk assessment with a hexagonal grid and 2D self-organizing map was applied.

Findings

According to the results, the model used in the study can provide a basis for classification of retailers based on the specified risk levels defined by the experts and risk managers of the company. Also with the model’s visual output, managers can have a better understanding of the distribution of the risk level of retailers.

Practical implications

The proposed methodology can be adopted by managers to assess the risk of members involved in the supply chain, helping them to formulate the risk mitigation strategies based on the risk levels.

Originality/value

As a part of the risk management process, organizations can use this developed method to reduce the existing risks imposed by the members or customers on the company.

Evidence-Based Resilience Management for Supply Chain Sustainability: An Interpretive Structural Modelling Approach

The purpose of this study is to systematically identify and design improvement planning for supply chain resilience (SCRES) for a higher level of sustainability and a competitive advantage. Literature-based interpretive structural modelling (ISM), a pairing of the systematic literature review (SLR) and ISM approaches, is proposed for investigating and identifying a set of key performance measures of resilience for supply chain (SC) management. In line with previous research, we identified and updated 13 key SC capabilities out of 24 as core performance measures of supply network resilience. Furthermore, our findings categorised each capability and element into one of four types of influential power variables (drivers, dependent, autonomous, or linkage). This study (i) lends support to and updates previous research that examined the core capabilities of SCRES and (ii) provides complementary classifications for the influential powers of SCRES capabilities and elements. The literature indicates that there has been no research that has integrated SLR as a basis to ISM for an effective way to utilize existing studies for increasing awareness and developing managerial guidelines to achieve SCRES.

Enterprise risk management in the bus market of the city of São Paulo

Purpose

The purpose of this paper is to analyze the identification, evaluation and treatment of risks, as well as the appetite and corporate maturity in relation to enterprise risk management in the urban bus market of the city of São Paulo, Brazil.

Design/methodology/approach

A qualitative case study was formulated in two stages: the first one includes an interview with a bus market specialist and the second stage comprehends eight interviews with executives from bus chassis and coachwork manufacturers and bus fleet operators of this market.

Findings

The results show that larger companies tend to manage their risks in a more structured way when compared with smaller ones, although there are some exceptions. The most critical risks evaluated concerns to the political type followed by the economic/financial, strategic, environmental, social, operational, technological, image and ethical types; and the risk appetites are generally consistent with the risks criticality level.

Practical implications

This case study of an important sector in the economy can be emblematic for the adoption of good practices of risk management by managers.

Originality/value

Risk appetites are generally consistent with criticality and the main forms of treatment are to reduce, share and follow, linked to participation in representative associations.