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The study aims to enhance resilience in Indian automobile supply chains by identifying enablers and developing structural model to explain their leads-to relationship with business outcomes amidst disruptions. The study is particularly useful for Indian automobile supply chains as they function amidst great deal of turbulence making them vulnerable to disruptions. Building resilience helps them recover from disruptions while ensuring business continuity, customer satisfaction and profitability. The study identifies the resilience enablers through a Delphi survey and applies Fuzzy ISM and Fuzzy MICMAC to model the structural linkages between them. The methods result in identification of eight resilience enablers for Indian automobile supply chains and essential drivers in achieving the business outcomes amidst disruptions. The structural model establishes that supply chain collaboration, resilience infrastructure, strong relationships with supply chain partners and orientation are essential in enhancing flexibility, agility, preparedness and responsiveness. Together they help in achieving financial performance, business continuity and market share growth amidst disruptions. The enablers would guide automobile managers in better adoption and resource allocation of resilience enablers in their existing supply chains.

This research aimed to systematically review the development studies pertaining to forest biomass and bioenergy supply chain resilience (SCR). In this regard, a mixed procedure was implemented in order to explore and analyze the relevant publications, and to answer the research questions. First, the databases and journals working on forest biomass and bioenergy supply chains (SCs) were identified based on the indices of the review process and the indices of the barriers and enablers. Next, data refinement was employed to filter the publications into four levels and determine the semifinal cases. Moreover, the references of the semifinal publications were tracked in order to achieve the final cases. Consequently, 88 papers were determined as the final cases through which the barriers and enablers were explored and analyzed. Furthermore, in order to meet the research gap in this area and prove the connections of those barriers and enablers with the resilience capability, their relationships with the main resilience factors were investigated. According to the assessment, the findings of this research on the definition, barriers and enablers of forest biomass and bioenergy SCR can be applied as a basis for the comprehension and optimization of the structure of SCs in the forest biomass and bioenergy industries.

[Purpose/Significance] In the digital age, data elements have become a key factor in production, while insufficient bargaining power in the supply chain poses significant operational risks to enterprises. How to leverage the opportunities of the digital economy, maximize the role of data elements, and avoid operational risks caused by insufficient discourse power in the supply chain has become a key issue that enterprises urgently need to address. Investigating how data utilization enhances this power is vital for building resilient supply chains and informing governance decisions. This method is also effective for further utilizing data elements. It provides micro evidence that helps us understand how data elements can optimize resource allocation and empower organizational decision making. [Method/Process] This study employs a rigorous, empirical approach using panel data from China's A-share listed companies from 2003 to 2022. A two-way fixed effects model serves as the primary estimator to control for uno

Background: Enhancing the resilience of global supply chains has become of increasing priority in response to recent natural disasters and the COVID-19 pandemic. Methods: This paper presents findings from semi-structured interviews with five Japanese companies conducted between November 2020 and February 2021 to examine the impacts of the COVID-19 pandemic on different aspects of logistics and supply chain activities and resilience strategies implemented. The interviews focused on firms’ financial performance and the status of preparedness, response, and future plans from the perspective of logistics and supply chain resilience. Through interviews, we also investigated whether existing logistics and supply chain resilience strategies helped the companies avoid, withstand, respond to, or recover from the pandemic’s impacts. Results: The results indicated that the interviewed companies experienced both positive and negative impacts from the pandemic on their logistics and supply chain activities and experienced negative impacts mainly on their financial performance. Conclusions: A certain level of preparedness was observed; however, the levels of resilience preparedness, response, and future plans varied among companies with different attributes, such as industry type and organisation size.

This paper introduces the Open Knowledge Resilience Framework (OKRF), a set of seven cooperative data standards, and demonstrates its alignment with the Supply Chain Interoperability Specification (SCIS) Platform. Building upon the Internet of Production Alliance (IoPA) work, this article explores how integrating OKRF and SCIS can enhance production flexibility and efficiency through substitutability and resource repurposing strategies. The OKRF-SCIS integration exhibits the potential to enhance Supply Chain Resilience (SCR) by empowering organizations to adapt to fluctuating demand and availability through adaptability strategies such as supplier/product substitution and resource repurposing. While this study primarily focuses on the conceptual design of OKRF and SCIS, further empirical research is needed to validate its effectiveness. Additionally, investigating the framework’s applicability across various industries and contexts would provide valuable insights. The integration of OKRF and SCIS can enable organizations to optimize supply chain operations, enhancing resilience and facilitating adaptation to changing demands through seamless substitutability and resource repurposing. This integration can also reduce transportation costs and increase responsiveness to local demand. Furthermore, it can enhance SCR and promote sustainable, resilient supply chain ecosystems by improving data transparency and resource utilization efficiency. This paper illustrates the potential of OKRF and SCIS in healthcare supply chains.

PurposeThe COVID-19 crisis has caused major supply chain disruptions, and these can be traced back to basic supply chain risks that have previously been well identified in literature. The purpose of this paper is to suggest a pathway for closing the gap between supply chain resilience research and efforts in industry to develop a more resilient supply chain.Design/methodology/approachBased upon virtual roundtables with supply chain executives, supplemented with interviews and publicly available datapoints about COVID-19 impact on the supply chain, we explore challenges in industry and suggest opportunity areas where research can support efforts in industry to improve supply chain resilience.FindingsDuring the COVID-19 crisis, participating supply chain executives are experiencing textbook supply, demand and control risks in the supply chain. They also observe a lack of preparedness, shortcomings of current response plans and the need for greater supply chain resilience. Focus areas in improving resilience mirror generic recommendations from literature and provide a rich opportunity to reduce the gap between research findings and efforts in industry.Research limitations/implicationsMore empirical, event-based and less conceptual research into supply chain resilience has been called for several times during the last two decades. COVID-19 provides a very rich opportunity for researchers to conduct the type of research that has been called for. This research may contribute to the structurally de-risking of supply chains. Areas of research opportunity include decision models for supply chain design that avoid overfocusing on costs only, and that consider the value of flexibility, short response times and multiple sources as well as methods for enriching supplier segmentation and evaluation models to reduce a focus on savings and payment terms only.Practical implicationsKey levers for de-risking the supply chain include the need to balance global sourcing with nearshore and local sourcing, the adoption of multiple sources and a greater utilization of information technology to drive more complete and immediate information availability. Perhaps most importantly, talent management in supply chain management needs to promote a focus not just on costs, but also on resilience as well as on learning from current events to improve decision-making.Social implicationsThere is a great opportunity for supply chain managers to grow their contribution to society beyond risk response into the proactive reduction of risks for the future. Researchers can serve society by informing this progress with impactful research.Originality/valueThis article offers initial empirical exploration of supply chain risks experienced in the context of COVID-19 and approaches considered in industry to improve supply chain resilience. Opportunities for empirical, event-based and less conceptual research that has been called for years, are identified. This research can help close the gap between supply chain resilience research and efforts in industry to improve supply chain resilience. Hopefully the research opportunities identified can inspire the flurry of research that can be expected in response to the multiple special issues planned by journals in our field.

Supply chain resilience (SCRes) and performance have become increasingly important in the wake of the recent supply chain disruptions caused by subsequent pandemics and crisis. Besides, the context of digitalization, integration, and globalization of the supply chain has raised an increasing awareness of advanced information processing techniques such as Artificial Intelligence (AI) in building SCRes and improving supply chain performance (SCP). The present study investigates the direct and indirect effects of AI, SCRes, and SCP under a context of dynamism and uncertainty of the supply chain. In doing so, we have conceptualized the use of AI in the supply chain on the organizational information processing theory (OIPT). The developed framework was evaluated using a structural equation modeling (SEM) approach. Survey data was collected from 279 firms representing different sizes, operating in various sectors, and countries. Our findings suggest that while AI has a direct impact on SCP in the short-term, it is recommended to exploit its information processing capabilities to build SCRes for long-lasting SCP. This study is among the first to provide empirical evidence on maximizing the benefits of AI capabilities to generate sustained SCP. The study could be further extended using a longitudinal investigation to explore more facets of the phenomenon.

Considering the potential impacts of digitalization and greening in manufacturing on industrial chain and supply chain (ICSC) resilience, this paper develops a multidimensional evaluation index system. The system includes immune resistance, adaptive resilience, autonomous control, innovation competitiveness, and development sustainability. Using the entropy weight method, we measure manufacturing ICSC resilience across provinces and cities in the Yangtze River Economic Belt from 2017 to 2022 and further comprehensively analyze its spatiotemporal evolution and key influencing factors. The findings indicate that though the overall ICSC resilience in the region is relatively high, significant disparities exist between provinces and cities. The average resilience index value of the Yangtze River Delta region remained above 0.4, while that of other provinces was generally below 0.2. The spatial distribution of resilience shifted significantly during the study period, with marked improvements observed in all the regions. The number of high-value areas increased from three to nine, while only two areas had relatively lower values. Furthermore, the financing environment and the degree of digitization exhibited a strong positive correlation with resilience, whereas price fluctuations and excessive government intervention exerted adverse effects. Finally, this paper proposes corresponding policy recommendations to enhance ICSC resilience.

Artificial Intelligence (AI) and Big Data Analytics (BDA) have the potential to significantly improve resilience of supply chains and to facilitate more effective management of supply chain resources. Despite such potential benefits and the increase in popularity of AI and BDA in the context of supply chains, research to date is dispersed into research streams that is largely based on the publication outlet. We curate and synthesise this dispersed knowledge by conducting a systematic literature review of AI and BDA research in supply chain resilience that have been published in the Chartered Association of Business School (CABS) ranked journals between 2011 and 2021. The search strategy resulted in 522 studies, of which 23 were identified as primary papers relevant to this research. The findings advance knowledge by (i) assessing the current state of AI and BDA in supply chain literature, (ii) identifying the phases of supply chain resilience (readiness, response, recovery, adaptability) that AI and BDA have been reported to improve, and (iii) synthesising the reported benefits of AI and BDA in the context of supply chain resilience.

PurposeThis article seeks to broaden how researchers in supply chain management view supply chain resilience by drawing on and integrating insights from other disciplines – in particular, the literature on the resilience of social-ecological systems.Design/methodology/approachBefore the authors import new notions of resilience from outside the discipline, the current state of the art in supply chain resilience research is first briefly reviewed and summarized. Drawing on five practical examples of disruptive events and challenges to supply chain practice, the authors assess how these examples expose gaps in the current theoretical lenses. These examples are used to motivate and justify the need to expand our theoretical frameworks by drawing on insights from the literature on social-ecological systems.FindingsThe supply chain resilience literature has predominantly focused on minimizing the consequences of a disruption and on returning to some form of steady state (often assumed to be identical to the state that existed prior to the disruption) implicitly assuming the supply chain behaves like an engineered system. This article broadens the debate around supply chain resilience using literature on social-ecological systems that puts forward three manifestations of resilience: (1) persistence, which is akin to an engineering-based view, (2) adaptation and (3) transformation. Furthermore, it introduces seven principles of resilience thinking that can be readily applied to supply chains.Research limitations/implicationsA social-ecological interpretation of supply chains presents many new avenues of research, which may rely on the use of innovative research methods to further our understanding of supply chain resilience.Practical implicationsThe article encourages managers to think differently about supply chains and to consider what this means for their resilience. The three manifestations of resilience are not mutually exclusive. For example, while persistence may be needed in the initial aftermath of a disruption, adaptation and transformation may be required in the longer term.Originality/valueThe article challenges traditional assumptions about supply chains behaving like engineered systems and puts forward an alternative perspective of supply chains as being dynamic and complex social-ecological systems that are impossible to entirely control.