Enhance Supply Chain Resilience Research Articles

Enhancing supply chain resilience in offsite construction through the procurement strategy: a systematic literature review

Purpose Offsite construction (OC) is an efficient method to reduce waste in the construction industry from a circular economy perspective. Yet, its uptake is subdued by the ambiguities around its supply chain. Hence, the purpose of this study is twofold: to identify the OC project delivery models, the limitations in their procurement approach to facilitate the resilience of the supply chain and interventions to promote supply chain resilience (SCR) and to identify the gaps in the existing procurement process and propose further research areas that implement strategies to improve SCR. Design/methodology/approach The study was conducted as a systematic literature review. In total, 41 peer-reviewed research papers published between 2013 and 2023 were shortlisted through the preferred reporting items for systematic reviews and meta-analysis guidelines. A descriptive analysis was conducted, followed by a thematic analysis. Findings The descriptive analysis reveals that the emphasis on digitising OC has shifted to transforming the business model, procurement and supply chain with a human-centric view. In thematic analysis, the predictability of the SC partners and the probabilities of evaluating the prospects are revealed as arbitrary characteristics in the current procurement strategies. Rewarding collaborative relationships among SC partners and incorporating provisions to postpone the module delivery are some interventions to promote flexibility. Drafting comprehensive and effective contracts that address transparency issues and facilitating the need for continuous development of capabilities through procurement are among the further research avenues proposed. Originality/value This study is a precursor demonstrating the potential of the procurement process to implement the decrees of SCR for better goal congruence of the OC supply chain.

Research on the Resilience Assessment of Cross-border E-commerce Supply Chains under the RCEP Agreement

Under the RCEP (Regional Comprehensive Economic Partnership) agreement, cross-border e-commerce supply chains face the multiple risks that can lead to supply chain disruptions, severely affecting a nation's economic security, trade stability, and international market competitiveness. Enhancing supply chain resilience is a key method to address supply chain disruptions. This study, based on an analysis of the characteristics of cross-border e-commerce supply chains, utilizes Grounded Theory and Social Network Analysis to construct an evaluation indicator system. The resilience indicator system for cross-border e-commerce supply chains under the RCEP agreement developed in this study aids in the efficient and stable development of businesses.

Enhancing supply chain resilience facing partial and complete disruptions: The application in the cooking oil industry

Nowadays, food supply chains are more vulnerable to disruptions due to competition, uncertain environments, and global catastrophes such as the recent pandemic. Due to the importance of addressing disruption risks, this study develops a hybrid mechanism to enhance resilience in a multi-product supply chain. The proposed mechanism improves supplier resilience in a Cooking Oil Supply Chain (COSC) network design. First, we identify elements that affect supplier resilience and present a mechanism based on the Analytical Network Process (ANP) to evaluate resilience. In addition, several strategies are determined to enhance network resilience. Moreover, a stochastic mathematical formulation is proposed to utilize suppliers’ scores and a combination of identified strategies to strengthen supply chain resilience. The developed stochastic model encompasses three objectives and considers possible partial and complete disruptions of the supply chain network. Furthermore, we develop a robust counterpart formulation to handle the disruption uncertainty of the COSC and utilize the Normalized Normal Constraint (NNC) method to generate Pareto optimal solutions. Lastly, we put the implemented mechanism into practice in a real-world case to demonstrate its effectiveness in enhancing supply chain resilience. Likewise, we unveil that the implementation of suitable resilience strategies within the supply chain can lead to substantial improvements in performance metrics. For example, the results obtained illustrate that by embracing resilience strategies, the proposed mechanism has the potential to reduce the overall cost of the supply chain by as much as 56%.

Flexibility in Enhancing Supply Chain Resilience: Developing a Resilience Capability Portfolio in the Event of Severe Disruption

The current study aimed to determine alternative configurations of supply chain resilience strategies for managing supply chain performance (SCP) during a severe disruption. To do this, a multi-method and multi-study approach was adopted. Phase 1 of the study employed a qualitative approach to explore supply chain risk factors and their mitigation strategies during the COVID-19 pandemic. In Phase 2, the quality function deployment technique was used alongside quantitative case studies to determine the most critical risk factors and most crucial resilience strategies. The final phase, Phase 3, used fuzzy set qualitative comparative analysis to determine the alternative portfolio of strategies for SCP to create flexibility when employing resilience strategies. The results revealed that implementing resilience strategies alone is ineffective in improving SCP, while resilience strategies combined with the nullification of risk factors enhance SCP. The study also revealed two alternative configurations of resilience strategies to tackle the relevant risk factors. These findings can be used to guide managers toward identifying the most suitable configuration of resilience strategies to manage severe and unprecedented supply chain risk. The alternative configurations of resilience strategies can also provide flexibility to managers in deciding the best course of action for their firms.

Enhancing Supply Chain Resilience: RIME-Clustering and Ensemble Deep Learning Strategies for Late Delivery Risk Prediction

Enhancing Supply Chain Resilience: RIME-Clustering and Ensemble Deep Learning Strategies for Late Delivery Risk Prediction

The role of technology in supply chain risk management: Innovations and challenges in logistics

The review delves into the pivotal role of technology in revolutionizing supply chain risk management practices within the logistics sector. The paper explores the myriad of risks faced by modern supply chains, ranging from natural disasters and geopolitical tensions to cyber threats and disruptions in global trade patterns. It investigates how technological innovations such as blockchain, Internet of Things (IoT), artificial intelligence (AI), and predictive analytics are reshaping traditional risk management approaches by providing real-time visibility, data-driven insights, and proactive mitigation strategies. Through a comprehensive analysis, the study examines the transformative potential of these technologies in enhancing supply chain resilience, agility, and responsiveness to unforeseen disruptions. It highlights the benefits of leveraging blockchain technology for secure and transparent supply chain transactions, IoT sensors for real-time monitoring of goods in transit, AI algorithms for predictive risk modeling, and predictive analytics for identifying and mitigating potential disruptions before they escalate. Furthermore, the paper delves into the challenges and complexities associated with adopting and integrating these technologies into existing supply chain processes, including interoperability issues, data privacy concerns, and the need for specialized expertise. By providing practical insights, case studies, and best practices, the study aims to empower logistics professionals, policymakers, and industry stakeholders to harness the full potential of technology-driven solutions in managing supply chain risks effectively and ensuring business continuity in an increasingly uncertain and volatile global environment.

Supply chain resilience: Conceptual and formal models drawing from immune system analogy

Resilience is a frequently discussed concept in the context of supply chains, often likened to an immune system that plays a vital role in safeguarding against disruptions and facilitating recovery. Recognizing a gap in the literature for constructs that encapsulate supply chain resilience from an immune system perspective, this article introduces conceptual and formal models drawing from molecular biology and immunology. Our models reflect the dual nature of supply chain resilience as a composition of preparedness and recovery, interpreted through the primary components of immune systems—innate and adaptive immunities. We discuss how certain analogies between immune and supply chain systems, along with dissimilarities, can be leveraged to enhance supply chain resilience. An immune system-inspired mechanism for supply chain resilience is proposed using a combination of innate and adaptive responses and complemented by the principles of diversity and redundancy. Finally, the article outlines potential research areas within the domain of supply chain resilience (e.g., data-driven analytics, viability, ripple effect, complexity analysis, and uncertainty modeling) that could benefit from the application of the immune system perspective, thereby contributing to and broadening the scope of current scholarly literature.

THE ROLE OF TECHNOLOGY IN SUPPLY CHAIN RISK MANAGEMENT: INNOVATIONS AND CHALLENGES IN LOGISTICS

The review delves into the pivotal role of technology in revolutionizing supply chain risk management practices within the logistics sector. The paper explores the myriad of risks faced by modern supply chains, ranging from natural disasters and geopolitical tensions to cyber threats and disruptions in global trade patterns. It investigates how technological innovations such as blockchain, Internet of Things (IoT), artificial intelligence (AI), and predictive analytics are reshaping traditional risk management approaches by providing real-time visibility, data-driven insights, and proactive mitigation strategies. Through a comprehensive analysis, the study examines the transformative potential of these technologies in enhancing supply chain resilience, agility, and responsiveness to unforeseen disruptions. It highlights the benefits of leveraging blockchain technology for secure and transparent supply chain transactions, IoT sensors for real-time monitoring of goods in transit, AI algorithms for predictive risk modeling, and predictive analytics for identifying and mitigating potential disruptions before they escalate. Furthermore, the paper delves into the challenges and complexities associated with adopting and integrating these technologies into existing supply chain processes, including interoperability issues, data privacy concerns, and the need for specialized expertise. By providing practical insights, case studies, and best practices, the study aims to empower logistics professionals, policymakers, and industry stakeholders to harness the full potential of technology-driven solutions in managing supply chain risks effectively and ensuring business continuity in an increasingly uncertain and volatile global environment.
 Keywords: Technology, Supply Chain, Risk Management, Innovations, Challenges, Logistics.

THE ROLE OF PREDICTIVE ANALYTICS IN OPTIMIZING SUPPLY CHAIN RESILIENCE: A REVIEW OF TECHNIQUES AND CASE STUDIES

This study investigates the transformative impact of predictive analytics on enhancing supply chain resilience (SCR). Employing a systematic literature review and content analysis, the research aims to explore the integration, challenges, and strategic implications of predictive analytics within the supply chain ecosystem. Focusing on literature from 2014 to 2023, the study synthesizes insights from peer-reviewed articles and conference papers, adhering to stringent inclusion and exclusion criteria to ensure relevance and recency. The findings reveal that predictive analytics significantly contributes to supply chain agility, flexibility, and responsiveness, thereby bolstering SCR against disruptions. Key challenges identified include data privacy concerns, the need for skilled personnel, and the integration of predictive analytics into existing supply chain frameworks. Despite these challenges, the future outlook for predictive analytics in SCM is promising, with potential for unprecedented efficiency, sustainability, and competitive advantage. Strategic recommendations for practitioners emphasize the importance of developing predictive analytics capabilities, prioritizing data governance, and continuous staff training. For policymakers, the study suggests the need for standards and regulations that encourage innovation while ensuring the ethical use of predictive analytics. Finally, predictive analytics is pivotal in revolutionizing SCM, offering pathways for innovation, efficiency, and enhanced resilience. Future research should focus on the integration of emerging technologies, ethical data use frameworks, and overcoming adoption barriers, particularly in SMEs and developing economies. This study underscores the critical role of predictive analytics in the future of SCM, driving forward the agenda for research and practice in this evolving field.
 Keywords: Predictive Analytics, Supply Chain Resilience, Systematic Literature Review, Strategic Implications.

Maximizing Supply Chain Resilience: Viability of a Distributed Manufacturing Network Platform Using the Open Knowledge Resilience Framework

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.

A configuration approach to build supply chain resilience: From matching perspective

The COVID-19 pandemic has exposed the vulnerability of supply networks. Firms need to improve their supply chain resilience to survive in the long term. Previous studies have examined supply chain resilience from either an internal perspectives or external perspectives alone, while these two aspects are usually seen as interrelated and complementary, yet existing research seldom considers these two aspects collectively. To explore how improves supply chain resilience from a holistic view, this study adopts a matching theory that integrate internal capability and external relationship to explain the underlying mechanisms of enhancing supply chain resilience. The results show that there is no single necessary condition for high supply chain resilience, instead, there are three types to achieve high supply chain resilience: capability-driven, relationship-driven, and capability-relationship matching. These paths show the complex and multiple ways to high supply chain resilience. Furthermore, we find an asymmetric relationship between configurations that achieve high supply chain resilience and non-high supply chain resilience. This study extends matching theory to enhance supply chain resilience by matching internal capabilities and external relationships, and propose multiple paths and complex mechanisms to achieve supply chain resilience. Our research offers practical guidance for firms to improve their supply chain resilience during the dynamic and complex environments.

Enhancing Supply Chain Resilience in Coal Mining: A Review of Managing Disruptions

Objective – Coal mining operations encounter substantial risks and uncertainties that originate from a wide array of sources, encompassing but not limited to natural calamities, supplier disruptions, market volatilities, regulatory modifications, and geopolitical instability. This study aims to conduct a comprehensive literature review on supply chain resilience in the coal mining industry and pinpoint potential avenues for further investigation. Methodology – A systematic literature review (SLR) was utilized to examine a total of 115 studies in the field of management and the coal mining supply chain. The studies were published from 2010 to 2023. The vulnerabilities and resilience strategies within the coal mining supply chain are the focal points of our research. We have integrated viewpoints from the domains of management and the coal mining supply chain to support our analysis. Findings – Challenges such as resource distribution, government policies, and maintenance are prevalent, pointing to the need for strategies that enhance performance through dynamic optimization and incentivizing integration. Practitioners must identify vulnerabilities in the coal mining supply chain to proactively anticipate and effectively manage potential disruptions, thus bolstering operational resilience. Novelty –This study fills the gap in extant literature by investigating the sequential application of supply chain resilience in the context of coal mining operations using the integrative view of supply chain nodes. Type of Paper: Review JEL Classification: M00, L72, M11, O13. Keywords: Coal mining, Disruption, Risk mitigation, Supply chain resilience, Systematic literature review Reference to this paper should be made as follows: Sinaga, P.T; Simatupang, T.M; Basri, M.H. (2024). Enhancing Supply Chain Resilience in Coal Mining: A Review of Managing Disruptions, J. Bus. Econ. Review, 8(4), 01–10. https://doi.org/10.35609/jber.2024.8.4(1)

Optimal resilience strategy for manufacturers to deal with supply disruptions: Investment in supply stability versus dual sourcing

Enhancing supply chain resilience is fundamental to the stable development of manufacturing enterprises. By comparing three resilience strategies (investment in fixed supplier for stable supply, dual sourcing by adding backup suppliers, and hybrid strategy), we investigate their effects on improving supply chain resilience under supply disruption and selecting resilience strategies for manufacturing enterprises in a complex supply chain environment. We then propose a corresponding management approach for manufacturers. This study reveals the following: (1) Compared with the non-resilience strategy, the investment strategy for supply stability and hybrid strategy may adversely impact the manufacturer’s profits while concurrently enhancing expected sales when the manufacturer’s investment cost is high, whereas the dual sourcing strategy is an effective strategy to increase the manufacturer’s expected profit. (2) Compared with investment and dual sourcing strategies, the hybrid strategy has a lower wholesale price but not always a lower sale price. (3) Manufacturers who prefer supply stability always adopt a hybrid strategy to ensure maximum expected sales volume; manufacturers who prefer profit adopt a hybrid strategy only when the investment cost is within a certain range; otherwise, they adopt a dual sourcing strategy to obtain higher profits. (4) Under an asymmetric sourcing strategy, when suppliers’ costs of production differ significantly, manufacturers adopting dual sourcing and hybrid strategies do not always increase sales, and adopting an investment strategy for supply stability is a more sales-resilient strategy. (5) The results of manufacturer resilience strategy selection under a multi-product supply chain are similar to those for a single product.

A Review of Research on Supply Chain Resilience Evaluation Indicator System and Evaluation Methods

In the context of intensifying globalization and escalating supply chain risks, the study of supply chain resilience has increasingly attracted significant scholarly attention globally. This paper provides a comprehensive review of the current research landscape on the definition of supply chain resilience, its evaluation metric systems, and assessment methodologies, with an in-depth analysis of pertinent literature from both domestic and international sources. The extant research reveals a lack of consensus on the precise definition of supply chain resilience. The predominant evaluation methodologies encompass index weighting methods, mathematical modeling approaches, and simulation techniques, each possessing distinct advantages and limitations. This paper underscores the necessity for future research to emphasize the contextual variability in supply chain complexity, bolster the inherent resilience of supply chains, and develop more objective and versatile evaluation models. Furthermore, the integration of emerging technologies such as big data, artificial intelligence, and blockchain is anticipated to play a pivotal role in enhancing supply chain resilience. The deployment of these advanced technologies not only offers novel avenues for theoretical exploration but also furnishes crucial tools and methodologies for practical supply chain management.

Emergency Management and Response Strategies for Resilient Supply Chain Systems in the Face of Unexpected Events

In the increasingly globalized and complex supply chain environment, unexpected events such as natural disasters, pandemics, and cyber-attacks have become more frequent and severe. Traditional supply chain management methods, due to their highly integrated and lean production characteristics, often lack resilience and are difficult to cope with such interruptions. The vulnerability exposed by recent global events highlights the urgent need to develop strong strategies to ensure continuity and rapid recovery. This paper aims to explore emergency management and response strategies for resilient supply chain systems in the face of unexpected events, providing systematic solutions to ensure stable operation and rapid recovery. The study delves into various aspects critical to enhancing supply chain resilience, including risk assessment, early warning systems, and emergency planning. It examines the role of advanced technologies such as big data analytics, artificial intelligence, and the Internet of Things (IoT) in predicting and mitigating risks. Additionally, it addresses the importance of effective communication and information sharing across the supply chain network, emphasizing the need for transparency and real-time data exchange. By adopting a multi-faceted approach, this paper also explores supply chain design enhancements, such as multi-sourcing strategies and redundancy, which are crucial for minimizing disruption impacts. The rapid response and decision-making frameworks are discussed to highlight the need for swift and coordinated actions during crises. Furthermore, the importance of collaboration and coordination with supply chain partners is underscored as a means to build collective resilience. Overall, this paper provides a comprehensive framework for emergency management and response in supply chains, offering practical recommendations and best practices to ensure resilience in the face of unforeseen disruptions. The insights presented aim to guide practitioners and researchers in developing and implementing robust strategies to safeguard supply chain integrity and performance amidst an ever-changing risk landscape.

Sources of Supply Chain Volatility: A Literature Review

Purpose: The purpose of this study was to identify the main source of supply chain volatility based on empirical literature, addressing the gap in existing research where consensus on this matter has been lacking.
 Methodology: Employing an interpretivist approach, this study utilized a bibliographic and qualitative research method. The researchers systematically reviewed literature from top publishing sites and journals, focusing on titles and abstracts containing the keyword 'supply chain volatility' spanning from 2013 to 2023. Through this process, a taxonomy of 15 articles was developed to synthesize existing knowledge on the subject.
 Findings: The results of the study indicate that demand variability emerges as the primary source of supply chain volatility, with 60% of the analyzed articles highlighting its significance. This finding underscores the critical role of demand fluctuations in driving supply chain disruptions and challenges.
 Unique Contribution to Theory, Practice and Policy: This study makes a unique contribution to existing literature by providing empirical evidence and consensus on the main source of supply chain volatility. By synthesizing and categorizing findings from diverse sources, it advances theoretical understanding of the factors underlying supply chain disruptions. The identification of demand variability as the primary source of supply chain volatility offers valuable insights for practitioners seeking to enhance supply chain resilience and mitigate disruptions. Understanding the central role of demand dynamics can inform strategic decision-making and risk management practices within organizations. The findings of this study have implications for policy-makers involved in shaping regulatory frameworks and industry standards related to supply chain management. By recognizing demand variability as a key driver of volatility, policymakers can tailor interventions and incentives to promote stability and efficiency in supply chains.

Influencing factors and improvement strategies of supply chain resilience of prefabricated construction from the perspective of dynamic capabilities: the case of China

PurposeThis study adopts the perspective of dynamic capabilities to investigate influencing factors and proposes improvement strategies of supply chain resilience of prefabricated construction.Design/methodology/approachThe structural equation model (SEM) is used to identify and verify the relationship between factors influencing supply chain resilience of prefabricated construction from the perspective of dynamic capabilities. The system dynamics (SD) model is constructed to dynamically simulate the specific effects of different influencing factors.FindingsResults indicate that: (1) An evaluation index system for supply chain resilience of prefabricated construction containing five first-level indicators and 36 second-level indicators is constructed; (2) Ability to anticipate, ability to respond, ability to adapt, ability to recover and ability to learn are positively correlated with the supply chain resilience of prefabricated construction and (3) ANT3 (information system), RES1 (quick response), ADA3 (buffer stock) and LEA4 (trust) are the most leading factors influencing supply chain resilience of prefabricated construction over time.Originality/valueThis study fulfills the need for an in-depth exploration of the various influencing factors on supply chain resilience of prefabricated construction from the perspective of dynamic capabilities. Furthermore, this study provides improvement strategies to enhance supply chain resilience of prefabricated construction in China.

ADVANCED ANALYTICS IN SUPPLY CHAIN RESILIENCE: A COMPARATIVE REVIEW OF AFRICAN AND USA PRACTICES

This paper explores the application of advanced analytics in enhancing supply chain resilience, offering a comparative review between African and USA practices. Supply chain resilience has become a critical factor in the global business landscape, particularly in the face of unprecedented disruptions and uncertainties. As organizations strive to mitigate risks and improve responsiveness, advanced analytics emerges as a powerful tool in achieving these objectives. The study begins by providing a comprehensive overview of the key components of supply chain resilience and the role advanced analytics plays in fortifying these components. It delves into various analytical techniques, such as predictive modeling, machine learning, and data visualization, and their application in predicting and mitigating disruptions. By harnessing the power of big data, organizations can gain insights into demand patterns, supply chain vulnerabilities, and potential risks, enabling proactive decision-making. A comparative analysis is conducted between African and USA supply chain practices, recognizing the unique challenges and opportunities each region presents. Africa, with its diverse economies and infrastructural constraints, faces distinct challenges in achieving supply chain resilience. The study investigates how African organizations leverage advanced analytics to overcome these challenges and identifies best practices. Similarly, the analysis explores how USA practices utilize advanced analytics to bolster supply chain resilience, drawing parallels and distinctions with the African context. The paper also discusses the implications of these findings for policymakers, businesses, and academia. Understanding the effectiveness of advanced analytics in different supply chain contexts can inform the development of tailored strategies for enhancing resilience. The study contributes to the existing body of knowledge by shedding light on the state of advanced analytics adoption in the supply chain domain in these regions and by providing insights that can guide future research and practical implementations. This paper provides a glimpse into the dynamic landscape of supply chain resilience, showcasing the pivotal role advanced analytics plays in fortifying global supply chains. The comparative review of African and USA practices offers a nuanced understanding of the challenges and opportunities these regions face, contributing valuable insights for practitioners and researchers alike.
 Keywords: Analytics, Supply Chain, USA, Africa, Review.

THE ROLE OF IT IN ENHANCING SUPPLY CHAIN RESILIENCE: A GLOBAL REVIEW

In today's dynamic and interconnected global business environment, supply chain resilience has emerged as a critical factor for organizations seeking to navigate uncertainties and disruptions. This review explores the pivotal role of Information Technology (IT) in bolstering supply chain resilience on a global scale. As supply chains become increasingly complex and vulnerable to various risks, including natural disasters, geopolitical tensions, and pandemics, leveraging IT capabilities becomes imperative for organizations aiming to build and sustain resilience. The review encompasses an in-depth analysis of how IT tools and systems contribute to enhancing supply chain resilience across diverse industries and geographical regions. The integration of advanced technologies such as Artificial Intelligence (AI), Internet of Things (IoT), and blockchain is examined, shedding light on their transformative impact on supply chain management. These technologies enable real-time visibility, predictive analytics, and secure information sharing, empowering organizations to proactively identify risks and respond swiftly to disruptions. Furthermore, the review delves into the significance of digital platforms and cloud-based solutions in fostering collaboration and agility within supply chains. The ability to access and share critical information seamlessly among supply chain partners facilitates quick decision-making and adaptive responses to unforeseen challenges. Case studies from various global contexts provide insights into successful IT implementations that have significantly improved supply chain resilience, showcasing best practices and lessons learned. This global review underscores the indispensable role of IT in fortifying supply chain resilience. As organizations continue to grapple with an ever-evolving landscape of uncertainties, leveraging cutting-edge IT solutions emerges as a strategic imperative for building robust, adaptable, and responsive supply chains that can withstand and recover from disruptions effectively.
 Keywords: IT, Supply Chain, Resilience, Review, Technology.

Supply chain digitalization and performance: A moderated mediation of supply chain visibility and supply chain survivability

The COVID-19 crisis has notably impacted global supply chains as it has disrupted manufacturing operations. To recover from the aforementioned disruptions, supply chain digitalization [SCD] is increasingly being acknowledged to help the recovery process. Based on this, scholars have called for additional research on how SCD can enhance supply chain visibility [SCV] and boost supply chain performance [SCP] in turbulent environments. Based on 399 valid responses collected through cross-sectional method from Turkish manufacturing firms and using a non-probabilistic sampling method [i.e., purposive sampling], this research explores the effect of SCD on SCP. The mediating role of SCV and the moderating role of supply chain survivability [SCS] on the SCD-SCP relationship were also explored. The findings showed that SCD has a positive effect on SCP. SCD has a positive effect on SCV. SCV has a positive effect on SCP. The link between SCD and SCP is mediated by SCP. The results also revealed that SCS moderated the SCD-SCV link such that SCD has a stronger, positive relationship with SCV when SCS is high than when it's low. SCS moderates the SCD-SCP link, such that at low levels of SCS, the positive effect of SCD on SCP is weakened. The indirect positive effect of SCD on SCP via SCV is strongest when supply chain survivability is high. The findings suggest that SCD can improve cost-effectiveness, promote communication and information efficiency, and enhance supply chain resilience to improve performance after disruptions. This study provides insightful new implications for both supply chain literature and practitioners.