Supply Chain Resilience Research Articles

Designing a resilient supply chain network: A multi-objective data-driven distributionally robust optimization method

Uncertainty of supply chain disruption poses a significant challenge to decision-making in many real-life problems. In this paper, a new multi-objective data-driven distributionally robust optimization (MDDRO) model for the resilient supply chain network (RSCN) design problem under disruption scenario is developed, which includes minimizing the total cost, carbon emissions, and delivery time. In the context of supply chain disruption, it is important self-evidently that products can be supplied normally and the practical demand can be met. In handling the partial probability distribution information of the considered uncertain demand, this paper uses a data-driven Wasserstein-Moment ambiguity set (WMAS), which incorporate the Wasserstein metric and Moment information, and a robust counterpart to transform the developed model into a tractable approximation form. The finite-sample performance guarantee of the optimal solution of MDDRO model with Wasserstein-Moment ambiguous chance constraint is given. An accelerated Branch and cut algorithm (BCA) is constructed to solve the MDDRO model. Finally, through the investigation of a real-life case and sensitivity analysis of key parameters, some managerial insights are put forward.

A dynamic resilience management framework for deep-tier supply networks

The unprecedented supply chain disruptions caused by COVID-19 has had severe operational and financial consequences to firms across industries and continents. While tactical reactionary strategies can help, firms are in need of proactive management approaches to design more resilient supply chain networks in the first place. Firms are looking for an effective framework to design and monitor supply networks, mitigate disruption consequences, and manage resilience under different scenarios. We propose a framework to manage the resilience of deep-tier automotive supply networks by integrating a simulation-based resilience assessment scheme for effectiveness with an efficient optimization-based framework to find optimal strategies for handling regular disruption events. The framework promotes network analysis techniques combined with discrete-event simulation informed by secondary data sources and global supply risk databases for improving resilience management. We validate the effectiveness of the proposed framework using a real-world global automotive original equipment manufacturer case study. Our results demonstrate that the proposed dynamic framework relying on deep-tier visibility can optimize resilience strategies through all key performance indicators. The results show an average of 35% and 40% reductions in back-ordered cost and shipment delays, respectively, with a marginal growth in holding cost when the proposed framework is implemented with deep-tier visibility.

Research on the Impact of Supply Chain Integration on Supply Chain Resilience in NEV Manufacturing Enterprises

This paper explores the direct impact of different types of supply chain integration on supply chain resilience in new energy vehicle manufacturing enterprises. It also elucidates the mediating role of supply chain risk management and the moderating role of regulatory uncertainty, proposing nine research hypotheses. Finally, it employs SPSS 26.0 software to analyze the research hypotheses using collected 309 sample data. The research results indicate the following: (1) Internal integration, supplier integration, and customer integration all positively influence supply chain resilience, with supplier integration having the most significant impact. (2) Supply chain risk management mediates the relationship between internal integration, supplier integration, customer integration, and supply chain resilience. (3) Regulatory uncertainty significantly negatively moderates the impact of internal integration and customer integration on supply chain resilience, but it does not significantly negatively moderate the impact of supplier integration on supply chain resilience.

The improvement strategy of fresh produce supply chain resilience based on extenics.

Nowadays, the world is in turmoil, climate and environmental problems are prominent, the import and export of fresh agricultural products are restricted, etc. The impact of the growing demand for fresh agricultural products and healthy lifestyle choices, and fresh agricultural products are essential for people's daily life, which are perishable, fragile, seasonal, and other unstable factors. Therefore, when the fresh produce supply chain faces various pressures and difficulties, how to enhance the resilience of the supply chain against various problems and risks with flexible and multi-dimensional strategies and methods has become the focus of extensive attention. This kind of problem is a typical contradictory problem, and previous studies have failed to achieve good results. In this paper, based on extenics, we are able to one-dimensionalise the multi-dimensional contradictory problems and multi-dimensionalise the one-dimensional contradictory problems to solve such problems in a scientific and effective way. Firstly, taking fresh agricultural products supply chain enterprise M as the research object, we constructed the fresh agricultural products supply chain enterprise toughness system and identified the toughness state of each index. Secondly, we found the low-evaluation toughness indexes that need to be solved and constructed a extension model of incompatible problems of enterprise toughness. Thirdly, we analysed the objectives and conditions of toughness incompatible problems of fresh agricultural products supply chain enterprises numerically and quantitatively, and then, with the objective of toughness improvement, we analyzed the correlation of the condition basic-elements of incompatible problems and carried out extension transformations. Again, the objectives and conditions of the incompatible problems of fresh produce supply chain enterprises are analysed numerically and quantitatively, and with toughness enhancement as the objective, the correlation analysis and extension transformation of the condition basic-elements of the incompatible problems are implemented to generate the set of toughness enhancement strategies that can solve the incompatible problems in a multidimensional and scientific way. Finally, the optimal toughness enhancement strategies are selected through the superiority evaluation and composed into a new strategy to enhance the toughness of the fresh produce supply chain. Combined with extenics calculations and screening, a new strategy for supply chain resilience enhancement of fresh agricultural products was finally formed. The existing problems are solved from six aspects: product supply type, product demand, product supply efficiency, human resource quantity, production and processing equipment, and logistics guarantee ability. It provides a certain reference significance for the fresh agricultural products supply chain toughness enhancement, and helps enterprises to strengthen their competitiveness and sustainability through the enhancement of toughness.

Sustainable public procurement for supply chain resilience and competitive advantage

Public procurement plays a crucial role in national economies, as it represents a significant share of public spending. Governments can thus use this considerable purchasing power to promote environmental sustainability, social responsibility, and economic efficiency, while encouraging the supplier market to innovate and adopt more sustainable practices to remain competitive, and to generate more resilient supply chains. Given the interdisciplinary nature of the subject of sustainable public procurement (SPP), the documentation is abundant and diverse, hence the need for an updated literature review especially in the aftermath of the COVID-19 crisis period. This article consists of a systematic literature review focusing on articles with an empirical approach. The results reveal, among other things, 8 main research themes subdivided into 19 sub-themes, with a dominance of literature on the obstacles and incentives related to the implementation of SPP, while those concerning e-procurement and the analysis of the social life cycle remain relatively limited. The study also underscores the role of local economies and SMEs in public procurement strategies. It highlights a trend towards geographical diversification, indicating the global significance of SPP, with noticeable differences in adoption between developed and developing countries. The review calls for future research to focus on developing practical frameworks and tools for integrating sustainability more comprehensively in public procurement. The findings illuminate the pivotal role of SPP as a mechanism steering societies towards a sustainable, resilient, and equitable future, particularly in a post-pandemic world.

Performance evaluation of supply chain resilience in epidemic crises: an extension of network non-parametric methodology

Performance evaluation of supply chain resilience in epidemic crises: an extension of network non-parametric methodology

Enhancing Supply Chain Resilience through Emerging Technologies: A Holistic Approach to Digital Transformation

This article investigates the critical role of domain knowledge in enhancing the effectiveness and accuracy of data analysis across various industries. Through a comprehensive examination of case studies in finance, healthcare, and retail sectors, we demonstrate how industry-specific expertise significantly improves data interpretation, metric selection, and the derivation of actionable insights. The article highlights the synergistic relationship between technical, analytical skills and a deep understanding of industry contexts, revealing that domain experts are better positioned to identify meaningful patterns, develop accurate predictive models, and generate more relevant insights for stakeholders. We provide practical strategies for data analysts to acquire and integrate domain knowledge into their analytical practices, including collaboration with subject matter experts, targeted industry research, and participation in sector-specific training. The article also explores challenges such as potential biases, balancing generalist and specialist skills, and keeping pace with rapidly evolving industries. Furthermore, we examine future directions, including the role of AI and machine learning in augmenting domain expertise and the emergence of new interdisciplinary approaches and industry-specific tools. Our findings have significant implications for both aspiring data analysts seeking to specialize in specific industries and organizations aiming to optimize their analytical capabilities in an increasingly complex data landscape.

A critical review of machine learning applications in supply chain risk management

This article examines the transformative role of Machine Learning (ML) in Supply Chain Risk Management (SCRM), emphasizing its ability to enhance risk prediction and mitigation through real-time, data-driven insights. It demonstrates how ML applications like demand forecasting, inventory optimization, supplier risk assessment, and fraud detection improve supply chain resilience by analyzing large datasets to identify patterns, predict risks, and recommend proactive actions. However, the article also highlights key challenges, including data quality, availability, and privacy issues, which limit the effectiveness of ML models. Integrating ML with legacy systems poses additional technical and financial difficulties, particularly for smaller businesses. High implementation costs and scalability constraints further hinder widespread adoption. Ethical concerns, such as data bias and privacy, still need to be explored, raising questions about responsible ML use in supply chains. Future research should address these gaps by improving data governance frameworks for accuracy and privacy, developing scalable ML models suited to various supply chain environments, and exploring synergies with technologies like blockchain and the Internet of Things (IoT). These advancements will help realize ML’s full potential, fostering more agile, transparent, and resilient supply chains capable of navigating complex global risks. By tackling these challenges, ML can shift SCRM from reactive to proactive, ensuring long-term operational continuity and a competitive edge in the evolving global market.

What is a State-of-the-Art Definition of Supply Chain Resilience in 2024 – With a Systematic Literature Review

In light of escalating disruptions to global supply chains catalysed by events such as the COVID-19 pandemic and the Russo-Ukrainian war, the imperative of enhancing supply chain resilience (SCR) has become increasingly pronounced. The existence of varying definitions of SCR complicates efforts to quantitatively measure and assess resilience. To elucidate the essence of supply chain resilience, we conducted a meticulous systematic literature review (SLR) aimed at crystallizing a scientifically rigorous definition of SCR. Our SLR methodology involved comprehensive preparation and judicious paper selection, followed by a thorough analysis of supply chain resilience definitions. This analysis was conducted via the dimensions of three typical characteristics—preparedness, reaction, and recovery—and four foundational pillars—focus event, performance level, speed, and adaptive response. As a result, a robust definition of SCR is proposed, synthesizing insights from the three typical characteristics theory and the four pillars theory, supplemented with meaningful additions. The research contributes to developing frameworks for supply chain resilience measurement.

Analysis of Influencing Factors of Agricultural Product Quality Safety on Supply Chain Resilience

Analysis of Influencing Factors of Agricultural Product Quality Safety on Supply Chain Resilience

Social media usage and sustainable performance in manufacturing supply chains: exploring dynamic capabilities

Due to the global impact of COVID-19, businesses and supply chains worldwide have been disrupted, leading to challenges for manufacturing firms and customers. Social media usage (SMU) is a vital and valuable tool that builds customer-centric supply chains by effectively communicating large volumes of valuable data. This study examines the influence of social media usage on the development of dynamic capabilities, including supply chain sensing capabilities (SCSC), knowledge sharing capability (KSC), and social capital (SC), which are crucial for constructing agile and resilient supply chains that can effectively respond to dynamic and turbulent environments, ultimately enhancing sustainable business performance. To assess the proposed investigation model, data was gathered through a structured questionnaire administered to supply chain members currently engaged with manufacturing firms. The evaluation of the proposed hypotheses is carried out through the application of structural equation modeling (SEM). The results of this study offer empirical evidence supporting the proposition that SMU within manufacturing firms promotes the development of sensing capabilities, knowledge-sharing capability, and social capital. Furthermore, this study tests the moderation role of environmental dynamism in the relationship between social media use and sustainable business performance. This underscores the pivotal role played by SMU in facilitating the adaptation and responsiveness of the supply chain to dynamic and uncertain environments, thereby contributing to the long-term sustainability and competitiveness of organizations.

SUPPLY CHAIN DISRUPTION AND SUSTAINABILITY OF PHARMACEUTICAL FIRMS IN ANAMBRA STATE, NIGERIA

<p>The pharmaceutical sector, in Nigeria plays a role in the nations’ healthcare system by supplying medications to the people. However pharmaceutical companies in the Anambra State have been facing obstacles recently due to disruptions in their supply chains. This research investigates how supply chain disruptions impact the sustainability of firms in Anambra State. A mixed-methods approach, involving qualitative interviews with industry experts and quantitative analysis of operational data, identifies the main causes of supply chain disruptions and their effects on this firm’s long-term success. The research reveals that supply chain disruptions result from factors such as delays in customs clearance, inconsistent regulatory policies, currency fluctuations, inadequate transportation infrastructure and issues with supplier reliability. Interviews with industry experts highlighted customs delays as a disruption while quantitative analysis showed a 20% increase in times for imported pharmaceuticals along with a 15% rise in delivery delays and a 10% increase in product returns due to transportation challenges. Moreover, inefficiencies in inventory management were observed, leading to a 5% rise in holding costs and a 3% decrease in turnover rates due to supply chains. Challenges related to suppliers involved issues, with delivery reliability and product quality leading to a 10% extension in supplier lead times and a 5% uptick, in returns. The findings highlighted a direct correlation between these supply chain issues and decreased profitability, operational efficiency, and the ability to meet patient needs, emphasizing the urgent need for improvements to enhance the resilience of the pharmaceutical supply chain in Anambra State.</p>

Enhancing resilience and reducing waste in food supply chains: a systematic review and future directions leveraging emerging technologies

ABSTRACT The sustainability of food supply chains is gaining increasing attention, particularly after the COVID-19 pandemic. A food supply system that simultaneously prioritises resilience and minimises wastage is crucial. It is found that many studies have explored reducing food waste and increasing supply chain resilience as separate objectives, but research is scarce investigating both objectives in conjunction. This paper presents a comprehensive systematic review focusing on existing solutions to reducing food waste and enhancing resilience. It discusses future directions, particularly leveraging emerging technologies such as the Internet of Things, blockchain, artificial intelligence, and machine learning. The studies are categorised into three main topics: crisis resilience solutions, food waste reduction solutions, and integrated solutions. The literature review reveals a lack of empirical and practical solutions for concurrently improving resilience and decreasing food waste. Further in-depth investigations are necessary to propose practical and integrated approaches that tackle both challenges jointly.

Situational control and strategic choices during supply chain disruptions: case studies of SME exporters

PurposeMotivated by the severe impact of global supply chain disruptions and the lack of understanding of supply chain resilience from an SME exporter perspective in the international marketing literature, this paper sets out to explore how SME exporters achieve resilience through strategic choices related to sourcing and manufacturing during global disruptions.Design/methodology/approachThe study adopts a qualitative, multiple-case-studies approach to identify the key strategic drivers and contextual factors influencing SME exporters’ supply chain resilience. Our study adopted an SME exporter perspective and featured an unprecedented global supply chain disruption context. New Zealand (NZ) was chosen as the key home country context for the participants of this study. Five NZ SME exporters were selected for our case studies.FindingsThis study redefines buffering, bridging and a mixed strategy for an SME exporter facing global supply chain disruptions. SME exporters with high situational control are likely to pursue a buffering strategy that reduces their resource dependence on foreign suppliers and their reliance on information support from these suppliers. In contrast, when the firm perceives little control over the supply chain, it will decide upon a bridging strategy that aims to build solid relationships with supply chain partners. Exporters opt for a mixed strategy when they do not see themselves clearly in high or low situational control.Research limitations/implicationsAs global disruptions arise and evolve, supply chain uncertainty and exporters’ sense of situational control manifest differently across industries, product lines, markets and sourcing countries. It is essential to understand that firms can choose a mixed strategy based on these supply chain conditions. While our study was fortuitously timed, conducting multi-country studies could provide more comparative insights that transcend national borders. Additionally, our study did not examine organizational and capability-based factors. Future research may benefit from exploring how an SME exporter develops strategic capabilities to achieve resilience over its lifetime.Practical implicationsBusinesses see survival as the most pivotal concern during a global supply chain disruption. Many companies have had to make on-the-spot decisions about whether they should shift or redesign their supply chains in the middle of a global disruption. There is no “best strategy” for an SME exporter to take. Rather, managers should make strategic decisions based on how much control or influence they have over a particular part of their supply chain. The level of control is determined by the SME exporter’s overall resource dependencies and information needs in particular parts of their supply chain.Originality/valueWe adopt resource dependence theory and information processing theory to guide our study and place exporters' situational control in the centre of drivers to firms' strategic choices during global disruptions. We make a novel attempt to incorporate the contextual conditions of the COVID-19 pandemic into the theorization of supply chain resilience. We make managerial recommendations to help SME exporters navigate global supply chain disruption challenges.

Integrating risk management in implementing circular economy principles in the healthcare sector: a case study from Indonesia

Purpose The purpose of this study is to explore the integration of risk management and circular economy (CE) principles within the healthcare sector to promote sustainability and resilience. Specifically, the study aims to demonstrate how risk management can support the transition to a circular economy in healthcare supply chains. By integrating risk management practices with CE principles, healthcare organizations can identify potential risks and opportunities associated with circular initiatives. Design/methodology/approach This study adopts a qualitative research approach, using a case study methodology with semi-structured interviews conducted at primary care facilities to understand the application of CE principles in practice. The study uses fuzzy logic methods to assess and mitigate risks associated with strategies promoting CE principles. Additionally, key performance indicators are identified to evaluate the effectiveness and enhance the resilience of these strategies within healthcare supply chains. Findings The study highlights the critical role of robust risk management strategies in facilitating the transition to a circular economy within healthcare organizations. Primary care facilities, which are critical to frontline healthcare delivery, are particularly vulnerable to product shortages due to supply risks. This study focuses on critical protective equipment, specifically latex gloves and assesses operational risks, including supply, demand and environmental risks, using a fuzzy logic-based model. Import delays were found to be a moderate risk, typically occurring once a year. The research highlights critical KPIs for a successful CE transition within healthcare supply chains, such as on-time delivery and service quality, which are directly related to the risk of supply chain disruption. In addition, the study highlights the significant impact of other CE strategies on healthcare supply chains, including localized production and manufacturing, innovation in product development, reverse logistics, closed-loop supply chains and the adoption of lean principles. Practical implications This study provides valuable insights for healthcare organizations to optimize resource efficiency, reduce waste and promote circularity in their operations. By implementing the proposed solutions and focusing on the identified KPIs, organizations can develop strategies to achieve sustainability goals and enhance resilience in healthcare supply chains. Originality/value This study contributes to the literature by demonstrating the application of risk management in facilitating the transition to a circular economy in the healthcare sector. The use of fuzzy logic methodology offers a novel approach to assessing and mitigating risks associated with critical product failures in supply chain activities. The study’s findings provide practical guidance for healthcare organizations seeking to integrate circular economy principles and improve sustainability performance.

Machine Learning and Digital Twins-enabled Supply Chain Resilience: A Framework for the Indian FMCG Sector

Disruptions highlight machine learning (ML)-powered digital twins as a significant technology to ensure supply chain resilience (SCR). The authors acquired supportive data by conducting semi-structured interviews with 37 fast-moving consumer goods supply chain professionals. Using open, axial and selective coding approaches, the authors mapped and discovered the themes that constitute the essential elements of ML-enabled SCR. The findings of the research underscore four principal capabilities in which ML is poised to enhance the resilience of supply chains, namely (a) visibility, (b) supply chain analytics, (c) managing levels of inventory and (d) consumer behaviour. The research implications employ empirical data to demonstrate how integrating ML with digital twins into the supply chain enhances resilience and presents a comprehensive framework utilizing ML to improve SCR. The research draws upon the dynamic capability view theory.

Charting New Waters: A Systematic Literature Review Of BOS And Supply Chain Management Models For The Birth And Growth Of African Firms

This study addresses the transformation of African firms through the integration of BOS within supply chain management models. BOS focuses on creating uncontested market spaces by making competition irrelevant through innovation, a strategy that can be particularly beneficial for African firms facing infrastructure, technology, and logistical challenges. The purpose of this study is to conduct a systematic review to explore how BOS can improve the growth and competitive positioning of African firms by improving their supply chain practices.A systematic literature review, guided by the PRISMA framework, was employed to gather and analyze relevant literature published between 2018 and 2023. The review included a comprehensive search of databases, rigorous screening for eligibility, and thematic analysis to identify key themes related to the integration of BOS in supply chain management for African firms. The findings reveal that integrating BOS into supply chain management enables African firms to address operational challenges, improve competitive positioning, and promote sustainable growth. The strategic alignment of BOS principles with supply chain practices encourages innovation, operational efficiency, and the creation of new market spaces. Key themes identified include collaboration, competitive advantage, supply chain resilience, and sustainable practices. The study concludes that BOS integration into supply chain management can significantly improve the operational efficiency and competitive advantage of African firms. This approach not only addresses the unique challenges faced by these firms but also opens new avenues for market growth and sustainability. The insights gained from this review provide valuable guidance for both academics and practitioners aiming to optimize supply chain operations and achieve sustainable development in the African context.

Enhancing supply chain resilience through risk mitigation strategies: Evidence from smallholder red chili supply chains in East Java Indonesia

The cultivation of red chili in East Java, Indonesia, has significant economic and social impacts, necessitating proactive supply chain measures. This research aimed to identify priority risk agents, develop effective risk mitigation, and enhance supply chain resilience using the SCOR model, House of Risk, Interpretative Structural Modelling (ISM), and synthesis analysis. Examining 238 respondents—including farmers, collectors, wholesalers, retailers, home-agroindustries, and experts—the findings highlight farmers’ critical role in supply chain resilience despite risks from crop failures, weather fluctuations, and pest infestations. Simultaneous planting led to market oversupply and price drops, but accurate pricing information facilitated quick market adaptation. Wholesalers influenced pricing dynamics and income levels, impacting farmers directly. To improve resilience, three main strategies were developed through ten key elements: proactive strategies (real-time SCM tracking, Weather Early Warning Systems, risk management team formation, and training), resistance strategies (partnerships, chili stock reserves, storage and drying technologies, GAP implementation, post-harvest management, agricultural insurance, and Fair Profit Sharing Agreements), and recovery and growth strategies (flexible distribution channels and customizable distribution centers). Furthermore, the study delves into the mediating and moderating effects between variables within the model. This research not only addresses a knowledge gap but also provides stakeholders with evidence to consider new strategies to enhance red chili supply resilience.

Mitigating security risks in global supply chains: The role of strategic communication and criminological approaches in countering illicit trade and cyber threats

In the era of global commerce, the integrity and resilience of supply chains have become paramount. However, the increasing complexity of international supply networks has exposed them to a myriad of security risks, including both physical threats and cyberattacks. This paper explores the critical role of strategic communication and criminological approaches in mitigating security risks within global supply chains. It argues that a proactive approach to security—one that integrates effective communication strategies and criminological theories—can significantly enhance the ability of organizations to manage and mitigate these risks. Strategic communication, encompassing clear messaging, timely information sharing, and robust stakeholder engagement, is essential for maintaining transparency and preparedness in supply chain operations. Effective communication ensures that all stakeholders are informed about potential threats and the measures in place to address them, thereby facilitating a coordinated and timely response to security incidents (Fearn-Banks, 2016; Coombs, 2007). This paper examines how organizations can develop and implement comprehensive communication plans that enhance their ability to anticipate and respond to security threats. In addition, the application of criminological theories, such as routine activity theory, situational crime prevention, and deterrence theory, provides valuable frameworks for understanding and addressing security vulnerabilities in supply chains. Routine activity theory emphasizes the importance of identifying motivated offenders, suitable targets, and capable guardians, which can help organizations develop targeted security measures to reduce opportunities for criminal activities (Cohen & Felson, 1979). Situational crime prevention focuses on modifying the environment to deter crime, while deterrence theory highlights the role of penalties and enforcement in preventing criminal behavior (Clarke, 1997; Becker, 1968). This paper explores how these theories can be applied to enhance supply chain security and develop effective preventive strategies. The integration of strategic communication with criminological approaches offers a holistic framework for mitigating security risks in supply chains. By combining these strategies, organizations can improve their ability to manage security threats, safeguard their assets, and ensure the continuity of their operations. The findings of this paper underscore the importance of adopting a comprehensive approach to supply chain security that incorporates both communication and criminological insights. Keywords: Global Supply Chains, Security Risks, Strategic Communication, Criminological Approaches, Cyber Threats, Licit Trade, Routine Activity Theory, Situational Crime Prevention, Deterrence Theory, Supply Chain Security.

Globalization and Local Procurement: A Study of Supply Chain Dynamics in Australia and Bangladesh

Purpose: The aim of the study was to analyze the globalization and local procurement: a study of supply chain dynamics in Australia and Bangladesh. Methodology: This study adopted a desk methodology. A desk study research design is commonly known as secondary data collection. This is basically collecting data from existing resources preferably because of its low cost advantage as compared to a field research. Our current study looked into already published studies and reports as the data was easily accessed through online journals and libraries. Findings: The study on strategic sourcing's impact on cost reduction in Australia and Bangladesh manufacturing firms demonstrated significant positive results. It showed that strategic sourcing led to notable reductions in procurement costs, enhanced supplier management, negotiation, and risk mitigation strategies. The findings underscored the importance of aligning procurement strategies with organizational goals for sustainable cost reductions and competitive advantages in the sector. Unique Contribution to Theory, Practice and Policy: Resource dependence theory (RDT), transaction cost economics (TCE) & institutional theory may be used to anchor future studies on analyze the globalization and local procurement: a study of supply chain dynamics in Australia and Bangladesh. Businesses in both Australia and Bangladesh should prioritize building strong relationships with local suppliers to enhance supply chain resilience. Policymakers in both Australia and Bangladesh should create supportive regulatory frameworks that promote local procurement practices.