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

Key determinants to supply chain resilience to face pandemic disruption: An interpretive triple helix framework

Today, supply chain (SC) networks are facing more disruptions compared to the past. While disruptions are rare, they can have catastrophic long-term economic or societal repercussions, and the recovery processes can be lengthy. These can tremendously affect the SC and make it vulnerable, as observed during the COVID-19 pandemic. The identification of these concerns has prompted the demand for improved disruption management by developing resilient, agile, and adaptive SC. The aim of this study is to introduce an assessment framework for prioritizing and evaluating the determinants to supply chain resilience (SCR). To analyze the empirical data, fuzzy criteria importance through intercriteria correlation (fuzzy CRITIC) and fuzzy technique for order of preference by similarity to ideal solution (fuzzy TOPSIS) have been incorporated. Fuzzy CRITIC method was used to identify the critical determinants and fuzzy TOPSIS method was applied for determining relative ranking of some real-world companies. Finally, by developing propositions an interpretive triple helix framework was proposed to achieve SCR. This research stands out for its originality in both methodology and implications. By introducing the novel combination of Fuzzy CRITIC and Fuzzy TOPSIS in the assessment of determinants to SCR and applying these determinants with the help of interpretive triple helix framework to establish a resilient SC, this study offers a unique and valuable contribution to the field of SCR. The key findings suggest that 'Responsiveness' followed by 'Managerial coordination and information integration' are the most significant determinant to achieve SCR. The outcome of this work can assist the managers to achieve SCR with improved agility and adaptivity.

A conceptual framework of supply chain resilience towards sustainability through a service-dominant logic perspective

The supply chain of every company is essential to its overall operation. Global disruption has an unanticipated and immediate impact on supply chains across all industrial sectors. The supply chain must, therefore, demonstrate resilience in order to resist such upheaval because it is dynamic and extremely vulnerable to global uncertainties. Moreover, it must not only return to its initial form but also prove able to achieve steady, sustainable performance. To do so, supply chain activities necessitate value co-creation between stakeholders. One means of achieving this objective is through the application of service-dominant logic (SDL) whose eleven core premises define the behaviour, governance, and consequences of service-based exchange. The novelty of the research reported here lies in the mapping and review frameworks of current supply chain resilience towards sustainability (SCRTS) from an SDL perspective. This study represents the first to combine an SDL perspective and SCRTS since no formula has yet been devised to address this combination of factors. This study proposes the application of a conceptual framework of SCRTS from an SDL perspective by involving selected premises, resource integration, institutional structures, and collaboration.

Type of Paper

Conceptual Framework.

Examining Leadership Capabilities, Risk Management Practices, and Organizational Resilience: The Case of State-Owned Enterprises in Indonesia

This study aims to assess the role of leadership in Indonesia’s State-Owned Enterprises in bringing the companies to be resilient amid uncertainties and a dynamic environment based on dynamic capability theory. Risk management practices are used to mediate the relationship between leadership capabilities and enterprise resilience. The authors conducted a quantitative and cross-sectional study using a questionnaire distributed to members of the board of directors and senior managers of Indonesia SOEs and their subsidiaries. Based on the structural equation modeling analysis, the findings reveal that leadership capabilities play a role in developing enterprise resilience and risk management practice. Additionally, risk management practice partially mediates the relationship between leadership capabilities and enterprise resilience. The empirical findings enrich the knowledge on the relationship between enterprise resilience, leadership capability, and risk management practice. These results enable management SOEs and their subsidiaries and policymakers to develop strategies and a policy framework to create and develop enterprise resilience and help SOEs navigate safely and triumphantly in uncertain and disruptive business environments. This study supports empirical evidence that expands the context of applying the enterprise resilience concept and dynamic capability theory in hybrid organization types, such as SOEs, that operate in emerging countries.

Decision-making framework for a resilient sustainable production system during COVID-19: An evidence-based research

This work presents a decision-making framework for integrating resilience and sustainability in managing production systems during COVID-19. An operationalization scheme manifested via a case study at a manufacturer in the food production sector supports the proposed framework. The focus is laid on the tactical and operational decisions within the production system. Through the discussion of the introduced changes to mitigate risks emanating from COVID-19, a set of findings related to the deployment of digital solutions, new dimensions of sustainability and resilience, the introduction of new workforce scheduling rules, the importance of alignment and coordination across supply chain members, and the approach of risk management are identified. This work contributes to a better understanding of the decision-making process during the pandemic and to building up knowledge for the management of resilient and sustainable production systems.

A reflection on the impact of the COVID-19 pandemic on Australian businesses: Toward a taxonomy of vulnerabilities

The extant literature paints a grim picture of the COVID-19 impact on businesses around the world. However, in neither case has there been an attempt to evaluate the disproportionate impacts of the pandemic on the operation of different business sectors. To remedy this situation, this study utilises a cluster analysis to develop a taxonomy of vulnerabilities based on the industry-specific vulnerability indicators for 83 business sectors in the economy of Australia. The proposed taxonomy groups businesses into three clusters, labelled as vulnerable to business to people (B2P), vulnerable to business networking, and vulnerable to external factors. The differing vulnerability of businesses to the recent pandemic raises a fundamental question about how best to build resilience to reduce vulnerabilities. Built on the vulnerability characteristics identified in the taxonomy, this article suggests factors that contribute to the resilience of businesses in each cluster. Further, the present paper develops a novel validation method to demonstrate the goodness of the clustering results. Business leaders and government officials might draw considerable assistance from the taxonomy of vulnerabilities presented herein to build more resilient businesses to crises.

Supply Chain Integration Enables Resilience, Flexibility, and Innovation to Improve Business Performance in COVID-19 Era

The COVID-19 pandemic has brought about a sudden change from normal conditions to disruption conditions, and industrial sectors have experienced eroded growth. In particular, the manufacturing industry experienced a slowdown due to the sudden disruption in supply and demand. This situation stimulates the manufacturing industry to recover from this current challenging disruption. This study investigates the impact of supply chain integration on business performance through supply chain resilience, supply chain flexibility, and innovation system in Indonesia’s manufacturing companies. Data collection has obtained as many as 470 questionnaires considered valid for further analysis. Data analysis used the partial least square (PLS) technique using smartPLS software version 3.0. The results show that supply chain integration affects innovation system, supply chain flexibility, and supply chain resilience because of its ability to share complete product information and share production planning. Innovation systems and supply chain flexibility enhance supply chain resilience through the ability to deal with sudden changes in customer demand and production problems. Supply chain integration improves business performance through innovation, supply chain flexibility, and supply chain resilience in the COVID-19 era. This research could be the best practice for managers in restoring manufacturing performance quickly. This study also contributes to the current research in supply chain management.

An ISM Modeling of Barriers for Blockchain/Distributed Ledger Technology Adoption in Supply Chains towards Cybersecurity

Over the last few years, the increasing level of cyber risks derived from the growing connectedness of Industry 4.0 has led to the emergence of blockchain technology as a major innovation in supply chain cybersecurity. The main purpose of this study is to identify and rank the significant barriers affecting the implementation of blockchain technology as a key component of cyber supply chain risk management (CSCRM). This research relied on the “interpretive structural modeling (ISM)” technique in the structure of a hierarchical model to investigate the contextual relationships of identified challenges for blockchain adoption in CSCRM; it also classifies the influential challenges based on their driving and dependence powers. The results highlight that “cryptocurrency volatility” is the challenge at the top level of the hierarchy, implying weak driving power but it is strongly dependent on the other challenges. “Poor regulatory provisions”, “technology immaturity”, “dependent on input information from external oracles”, “scalability and bandwidth issues”, and “smart contract issues” are significant challenges for the adoption of blockchain in cyber supply chain risk management and are located at the bottom level of the hierarchy with higher driving power. The implications for theory and practice of the research are also highlighted.

Resilience-Enhancing Solution to Mitigate Risk for Sustainable Supply Chain—An Empirical Study of Elevator Manufacturing

As the complexity of supply chains increases, the enhancement of resilience for mitigating sustainable disruption risks in supply chains is an important issue. Quality function deployment (QFD) has been successfully applied in many domains to solve multicriteria decision-making (MCDM) problems. However, research on developing two houses of quality to connect sustainable supply chain disruption risks, resilience capacities, and resilience-enhancing features in elevator manufacturing supply chains by using the MCDM approach is lacking. This study aims to develop a framework for exploring useful decision-making by integrating the MCDM approach and QFD. By applying the framework, supply chain resilience can be improved by identifying the major sustainable risks and the key resilience to mitigate these risks. Important managerial insights and practical implications are obtained from the framework implementation in a case study of the elevator manufacturing industry. To strengthen resilience and thus mitigate key risks, the most urgent tasks are to connect the working site and the backstage to enhance product development and design and to share real-time job information. When these features are strengthened, agility, capacity, and visibility can be improved. Finally, unexpected events lead to changes in supplier delivery dates, and factors such as typhoon and lack of critical capacities/skilled employees with the greatest impact can be alleviated. This framework will provide an effective and pragmatic approach for constructing sustainable supply chain risk resilience in the elevator manufacturing industry.

Facilitating Vulnerable Supplier Network Management Using Bicriterion Network Resilience Management Approach

This study aims to enable a high level of coordination to cope with increasing levels of uncertainty by computing supplier- and network-based resilience values. Our case study is based on a real-world highly connected global manufacturing firm based in Korea as a test environment to evaluate a proposed bicriterion network resilience model using resilience and network values, together with an ordering approach. An outranking methodology is used to determine the improvement priorities of suppliers to achieve a high level of overall network resilience. The results show that the effectiveness of a firm’s performance with respect to the entire supply chain may increase or decrease based on its embeddedness and connectivity within the supply network. This study is one of the first to provide an integrative (resilience capabilities and network attributes) approach to the supplier improvement model, future studies are encouraged to expand the model to different network settings.

The Impact of Blockchain Technology Application on Supply Chain Partnership and Performance

Blockchain technology developed as a technical platform for electronic money. It is now considered a next generation information technology tool for sustainable growth in supply chain (SC) management. However, its study is relatively rare in the literature on SC collaboration and sustainability management research, despite its advantages in sustaining connectivity and reliability among SC partners. This study investigates how the use of blockchain in SC activities can influence (increase or decrease) SC partnership efficiency and growth, thereby affecting SC performance outcomes. Specifically, this study empirically validates a measurement and structural equation model with 306 SC experts from various industries. The findings show that the blockchain technology characteristics (information transparency, information immutability, and smart contracts) have significant positive effects on partnership growth and marginal effects on partnership efficiency. Though partnership growth has a positive effect on firm performance, partnership efficiency shows a negative effect.