Search

This study examines the operational problems that a mid-sized food production factory faces. It utilizes system dynamics (SD) and lean thinking approaches to analyze various challenges that these companies encounter. Through extensive data analysis and managerial meetings, this study identifies several factors affecting the company's performance: cash management, delivery delays, product quality impact on customer satisfaction, debt burden from raw materials purchase, and poor product planning. Various scenarios are simulated to significantly improve sales' stability and liquidity. This paper offers insights into how effective cash flows can be attained, as well as customer satisfaction, managing debts, and strategic plans that lead to business success. Additionally, the potential for extending SD to address similar challenges in the food industry is explored through detailed financial modeling and actionable plans. [ABSTRACT FROM AUTHOR]

Managing delivery risks is a critical challenge in modern supply chain management due to the increasing complexity and interdependencies of global supply networks. Existing methods often rely on correlation-based approaches, which fail to uncover the true causes behind delivery delays. This limitation makes it difficult for supply chain managers to identify actionable factors that can mitigate risks effectively. To address these challenges, we propose a novel method that integrates causal discovery with reinforcement learning to identify the root causes of delivery risks. Unlike traditional correlation-based methods, our approach uncovers both the direction and strength of causal relationships between variables, allowing for more accurate identification of the key drivers behind delivery delays. By applying causal strength quantification, we further measure the impact of each factor on delivery performance. Using real-world supply chain data, our results demonstrate that the proposed method reveals hidden causal relationships between factors such as shipping mode, order size, and delivery status. These insights enable supply chain managers to implement more targeted interventions, significantly improving risk mitigation strategies. [ABSTRACT FROM AUTHOR]

This paper discusses the Benders decomposition approach on the multi-objective adjustable robust counterpart optimization model with polyhedral uncertainty set for sugar distribution supply chain problems. It focused on the optimization modeling of sugar distribution among producers, local food hubs, and consumers in sub-districts. This problem is considered a multi-objective mixed integer linear programming problem with two objective functions: to maximize demand fulfillment and minimize logistics costs. Uncertain data was collected from real-life scenarios and analyzed using the adjustable robust counterpart methodology with polyhedral uncertainty set assumption. The uncertain data consisted of the adjustable and non-adjustable variables. This research was carried out in northern Bandung City, Indonesia. The result shows that the evaluation of the two-stage supply chain optimization model with adjustable robust counterpart methodology is effectively solved using the benders decomposition approach. [ABSTRACT FROM AUTHOR]

Based on the spring, spring MVC and MyBatis structures of the cloud platform SSM framework, an information management platform for power grid material supply chain is built. The data layer uses a variety of sensors to collect power grid material supply chain information, and the information is fed back to the data storage layer after being integrated by the logical reorganization function of the persistence layer. The data storage layer uses the multi-sensor supply chain information fusion method based on paste progress to fuse the information and store it in the database. The business logic layer calls the information in the database and uses the improved k-means clustering algorithm to detect the abnormal supply chain data information. After calculation and data control by the control layer, the data management results are displayed through the presentation layer. The experimental results show that the absolute error of data fusion is very low. It can effectively cluster data information and distinguish outlier anomaly information at the same time, and the effect of information management is good. [ABSTRACT FROM AUTHOR]

Today, dental tourism is regarded as one of the most important tourist industries due to its high demand and financial transactions. Sustainable development has become increasingly important because of the depletion of natural resources, health problems, and waste management. Contrary to the previous works, we firstly develop a multi-objective mathematical model seeking to reach and optimize sustainable objectives in the dental tourism supply chain. To achieve these aims, optimal locations of dental clinics and accommodation facilities and their required number and capacities are found. Besides, transportation activities and waste treatment facilities are optimized based on supply and demand. Biological risks, job vacancies creation, environmental issues, and costs and profits are considered in our work. Also, an improved goal programming is employed to solve the model. In addition, this model is implemented and analyzed by a real case study of the dental tourist industry to validate the proposed model. The government and practitioners of private sectors would derive great benefits from the real case outputs to build a thriving business from sustainable perspectives. [ABSTRACT FROM AUTHOR]

Sustainability certification is one means to address environmental and social issues present in fashion supply chains, whilst bridging the knowledge gap between brands and consumers. However, despite increased urgency to improve social, ethical and environmental practices in this industry, little is understood about how ethical fashion brands currently utilise sustainability certification, in an increasingly saturated, and often unregulated, labelling environment. This study examines choice of sustainability certifications, certification process, and use of labelling, by a range of Australasian fashion brands who promote sustainability as a core part of their customer-facing image. The research identifies a five-stage framework for sustainability certification, as well as indicating failures of current systems relative to user needs. The study develops and offers a proposal for a standardised taxonomy of fashion sustainability labelling that could be adapted, irrespective of firm size, sales revenue of garment and textile types. [ABSTRACT FROM AUTHOR]

Prefabricated construction has shifted a portion of environmental responsibilities (ERs) from on-site to off-site, prompting a focus on the entire supply chain. As an issue emerging alongside the prefabricated construction, ERs are yet to be clearly allocated along the supply chain. This study aims to explore the optimal allocation of ERs between the agents involved in a prefabricated construction supply chain (PCSC), considering two distinct types of government subsidies, namely, subsidies based on ER levels (EL subsidy) and subsidies based on ER incremental costs (EC subsidy). Additionally, it aims to compare the influence of two types of government subsidies on this allocation process. A three-stage supply-chain Stackelberg model involving the government, a supplier, and a contractor was established to analyze their optimal decisions and a numerical analysis based on a case was further exploited to validate the results. The study revealed a positive correlation between ER levels of the entire supply chain and the ER managerial efficiency of both agents under each type of subsidy. The ER allocation between the two agents varied depending on the subsidy type. With EL subsidies, the allocation of one's ER level was contingent on its own ER managerial efficiency, while under EC subsidies, the optimal allocation of ERs between the two agents was equal. No subsidy could simultaneously render both agents more profitable than the alternative subsidy, but optimal profits were largely determined by the ER managerial efficiency of the involved agents. By comparing subsidy effectiveness indicators, it was found that EL subsidies are deemed more beneficial for the construction environment than EC subsidies. The findings can serve as a valuable reference for government authorities to incentivize ER behaviors and help enterprises in the supply chain achieve a win-win situation. [ABSTRACT FROM AUTHOR]

Research on agrifood supply chains has grown in recent years; however, little attention has been given to the effect of the choice of distribution channel on the sustainable and resilient performance of the network. This research proposes a system dynamics model to evaluate different distribution channels for a fresh food supply chain in a developing country. Among the main results is that the use of food hubs in a channel distribution produces long-term environmental, social and resilience benefits for the entire network, while short supply chains are the most economically viable alternative. [ABSTRACT FROM AUTHOR]

Modular integrated construction (MiC) becomes a promising solution to improve production efficiency in the construction industry. However, the off‐site production and on‐site installation processes of MiC pose challenges to collaboration efficiency among the multiple stakeholders involved, including subcontractors, contractors, and consumers. These challenges stem from information dispersion, which impedes effective collaboration and communication. Such problems can be solved by introducing a blockchain‐based cyber‐physical service platform, which can facilitate information sharing and collaboration across the supply chain. In this paper, we study the impacts of MiC and blockchain technology on construction supply chains and reveal several important insights. First, we find that there exists a first‐mover advantage in the traditional construction supply chain, where subcontractors engage in a sequential game, and the subcontractor who produces first obtains more profit than the counterparts. Moreover, the contractor's ability to increase profits by reducing the unit cost of construction time is limited, but it can improve the effectiveness of the time gap due to early delivery. Second, we show that MiC should not be introduced if it significantly reduces collaboration efficiency in the supply chain. Interestingly, increasing the unit cost of construction for subcontractors can actually result in greater profits for all members of the supply chain. Regarding adopting blockchain technology, our findings suggest that supply chain members generally hold similar attitudes. Specifically, when the value of blockchain in improving collaboration efficiency is below a certain threshold, its adoption may not be beneficial, despite its potential to enable rapid production and early delivery. [ABSTRACT FROM AUTHOR]

The maritime transport sector is confronted with a multitude of operational risks that demand the implementation of efficacious management strategies. It is often the case that traditional frameworks prove inadequate, particularly in the context of integrating innovative technologies such as blockchain. This research underscores the potential of blockchain technology to mitigate the aforementioned risks by addressing challenges such as inefficiencies in documentation, a lack of transparency, security vulnerabilities, and regulatory compliance issues. Blockchain offers a decentralized, immutable ledger that facilitates documentation, reduces errors, prevents fraud, and enhances transparency and traceability. This encourages more effective collaboration among stakeholders and enhances security measures, particularly in the context of cybersecurity. Furthermore, it facilitates regulatory compliance through transparent record-keeping and automated reporting via smart contracts. While blockchain technology has the potential to optimize supply chain management and enhance data analytics for proactive risk management, the successful implementation of such solutions requires the collaboration of industry stakeholders, regulatory support, and ongoing innovation. Further research should investigate the scalability of blockchain technology, its integration with other digital technologies, its long-term impact, and the establishment of standardized protocols. The complete potential of blockchain technology in the management of maritime operational risks has yet to be fully actualized. [ABSTRACT FROM AUTHOR]

Blockchain is a technology that combines a set of properties to guarantee network security, transparency, and visibility, including a decentralized structure, distributed notes and storage mechanism, consensus algorithm, intelligent contracts, and asymmetric encryption. Supply chain management activities, including supply chain management provenance, business process reengineering, and security enhancement, have enormous potential to be transformed by blockchain. This research uses the integrated interpretive structural modeling–cross‐impact matrix multiplication applied to classification (ISM‐MICMAC) technique to ascertain the hierarchical relationships and to comprehend the severity of interrelationships among various components in tackling our research questions. In MICMAC analysis, the enablers were classified into four categories based on their dependence and driving powers. The combined ISM‐MICMAC methodology employed for this study relies on experts' individual evaluations and subjective assessments. Therefore, even with extreme caution, it is impossible to guarantee that the results are entirely devoid of personal biases. To further validate the linkages discovered in this study, we suggest employing more multiple‐criteria decision‐making (MCDM) methodologies and comparing the results with those of our research. Another method for confirming the results of the current study is to use an empirical research design based on survey methods. [ABSTRACT FROM AUTHOR]

The COVID‐19 pandemic has created many challenges for the modern and interconnected world we live in. Global supply chains (GSCs), which until this outbreak, had shown a certain level of responsiveness and reliability in responding to disruptions, were subject to a great test of their resilience. Adopting a qualitative research approach and carrying out in‐depth interviews with several different companies, it is shown that COVID‐19 has caused substantial harm to a variety of industries worldwide, compromising all nodes of their supply chain, from raw material assurance to the delivery of finished goods to consumers. Consequently, the disruption propagation was both from upstream and downstream of the value chain. The results also revealed some mitigation measures adopted and the intention to implement future ones to deal with consequences of potential future disruptions. Aiming to investigate if the pandemic crisis was intensifying deglobalization trends, the study also researched the relationship between supply chain disruptions and their impact on global trade. The analysis pointed to a deacceleration of international trade during the first months of the disease, mainly due to the closure of borders, but after this period, global dynamics started to be re‐established, suggesting that there is not an intensification of deglobalization trends. The study is considered relevant to the literature, as it brings more evidence and diversified viewpoints from various interviewees and industries in a recovering phase of COVID‐19 impacts, as well as to GSCs' decision‐makers since it brings about some managerial insights to better navigate through crises. [ABSTRACT FROM AUTHOR]

As port authorities and cargo operators seek strategies to reduce carbon emissions while ensuring operational efficiency, some are turning to the concept of green corridors. These solutions aim to establish formalized partnerships among ports, carriers, shippers, and countries. During the process, the stakeholders must consider four priority areas (alternative fuels, bunkering infrastructure, vessel decarbonization pathways, and cargo demand dynamics) from seven angles (environmental, economic, infrastructure, regulatory, operational, technological, and social). This study explores the prioritization of these criteria for establishing a green maritime corridor between two major ports in Portugal and Angola, which would be a significant step toward promoting sustainable global trade. Utilizing the fuzzy AHP, this research analyzes all these factors and their associated sub-criteria derived from a comprehensive literature review and consultations with stakeholders from the Ports of Sines and Luanda. The findings show the dominance of environmental compatibility and economic viability, while social acceptance shows the lowest score. This framework guides the decision-making process for developing a sustainable shipping corridor. The results offer valuable insights for policymakers which can guide them in fostering resilient maritime transport routes, accelerating the adoption of decarbonization strategies and playing a critical role in achieving the IMO's zero-emission targets by 2050. [ABSTRACT FROM AUTHOR]

Businesses may face different challenges in the realization and management of supply chain activities. To cope with these challenges and be successful in supply chain management, companies need supply chain strategies that are suitable for their product structures and objectives and strategic collaborations based on co-operation among supply chain members. In addition, to control and improve the results of the activities and strategies, the performance of logistics activities, which have a large share in the economic development of companies, should be measured and managed correctly. Therefore, supply chain strategies, supply chain integration, and logistics performance measurements have a critical importance in supply chain management, where the competition of companies is experienced and complexity is increasing day by day. In this framework, this study aims to investigate the relationship between the supply chain strategies and logistics performance of an enterprise and whether supply chain integration has a mediating role in this relationship. For this purpose, 417 data samples were collected and analyzed from the top 1000 exporter companies determined by the Turkish Exporters Assembly by a survey method, and the findings are analyzed and discussed. In the literature, there is no study that analyzes the relationship between the variables determined in this research from a mediator variable perspective. Therefore, this study presents original research in this field, and it is expected that the findings of the research will provide important benefits to companies and researchers and offer a new perspective to the literature. As a result of the analysis, it was determined that there is a significant and positive relationship between the supply chain strategies determined by companies and their logistics performance and supply chain integration. There is also a significant and positive relationship between supply chain integration and logistics performance. In addition, it has been concluded that supply chain integration plays a partial mediating role in the relationship between supply chain strategies and logistics performance. These results suggest the importance of supply chain strategies and supply chain integration in improving logistics performance. Therefore, in line with the research results, it is suggested that, to use supply chains for competitive advantage, managers should ensure supply chain integration by determining the right supply chain strategies in accordance with their objectives and product structures, and thus increase their logistics performance. [ABSTRACT FROM AUTHOR]

After the COVID-19 epidemic, the recovery of tourism growth faced more pressure on carbon emissions. As an important sector of tourism economic recovery, the tourist hotels' carbon emissions cannot be ignored. This study combined the EEIO (the environmentally extended input–output) model and Super-SBM (slacks-based measure) model to measure carbon emissions and its efficiency including indirect carbon emissions from the supply chain in China in 2002–2022. The results indicate that: Tourist hotels in most eastern provinces exhibit the U-shaped pattern in terms of carbon emissions. the majority of indirect carbon emissions from these hotels originate from the food and tobacco processing sectors. Indirect carbon emissions of tourist hotels in recent years might be decoupling with economic growth because of its decreasing trend. The implementation of energy-saving technology can enhance the carbon efficiency of tourist hotels, while regional economy growth can benefit the carbon emissions efficiency indirectly. Environmental pollution control investment and employment population are external driving factors affecting carbon emissions from tourist hotels. The objective of this study is to establish a scientific framework that promotes low-carbon development within the accommodation industry, both in China and comparable regions globally. [ABSTRACT FROM AUTHOR]

This study leverages a Discrete Event Simulation (DES) model to optimize the sweet potato supply chain in Zimbabwe, focusing on production, distribution, and market dynamics under varying climate conditions. The integration of climate data into the simulation model reveals significant insights into the resilience of different sweet potato varieties, particularly highlighting the suitability of yellow-skinned sweet potatoes for harsh climates due to their high resilience and drought resistance. However, market preferences still favor white-skinned varieties despite their vulnerability to climate extremes. The DES model identifies key bottlenecks, particularly in cultivation and transportation, that hinder supply chain efficiency. To address these challenges, the study emphasizes the importance of targeted interventions, such as improving access to irrigation, strengthening pest management, and adopting community-based resource-sharing approaches. These strategies are critical for enhancing both the resilience and efficiency of the supply chain. Additionally, the study highlights the urgent need for adaptive strategies to mitigate the effects of drought on agricultural productivity, especially in regions that heavily rely on crops like sweet potatoes. Overall, this research offers strategic insights for policymakers and stakeholders aiming to improve food security and agricultural productivity in Zimbabwe, as well as in other countries with similar climate challenges. [ABSTRACT FROM AUTHOR]

In the modern world, effective and successful supply chain management is among the most significant strategies for all organizations and public/private companies. Nowadays, recommending new tools and attitudes to improve supply chain efficiency is a challenging topic in organizational management. Another important goal of organizational management is to allocate costs logically and conveniently. Even though there are numerous studies on fixed costs and many tools for addressing this issue, data envelopment analysis (DEA) is a powerful technique for fair allocation. Therefore, the present study aimed to investigate the allocation of fixed costs in four-level supply chains using DEA models. The proposed model was examined by implementing a common set of weights and cost allocations according to the size of the decision-making unit. Additionally, the goal programming technique was applied to minimize the deviation between efficient allocation and size-based allocation. The proposed model is linear and provides a unique fixed allocation for each stage of the supply chain. Given that this model is always feasible, it can always provide an optimal allocation for each stage of the supply chain in different industries. In this paper, we focused on the allocation of personnel costs in a cement supply chain in Iran. The results show that the allocation amount to the customer stage (fourth stage) of the supply chain is much higher than other stages and the lowest allocation is obtained in the supplier stage (first stage). [ABSTRACT FROM AUTHOR]

Using a proprietary data set from the Shanghai and Shenzhen Stock Exchanges, we examine the relationship between Supply Chain Finance (SCF) and strategic change in core firms. Our analysis reveals that SCF facilitates strategic change in growing firms but hinders it in declining firms, with no significant effect on mature firms. In growing firms, SCF enhances risk‐taking capacity and reduces equity costs, while in declining firms, it stabilizes supply chains and increases customer concentration. In mature firms, SCF leads to strategic inertia. Economic tests suggest SCF aids firms in establishing unique competitive advantages at various stages of their life cycles. [ABSTRACT FROM AUTHOR]

Recycled plastics value chains are being collaboratively constructed amid calls for greater responsibility of the corporates driving today's plastic waste crisis. The resulting 'responsibility fix' bolts new arrangements onto linear production processes, offering a mechanism to push linear processes towards circularity, while starting to patch up some of the social and economic injustices associated with waste-picking work within contemporary systems of capitalist production and consumption. This research draws upon semi-structured interviews to trace international collaborations within recycled plastics value chains to identify how new, low-disruption, circular business models are being built. [ABSTRACT FROM AUTHOR]

It is encouraging to see blockchain technology take off as a practical means of improving supply chain management. Blockchain can help to lower fraud, boost efficiency, and improve the trust of those involved in the supply chain by offering a secure, decentralized, and transparent platform for tracking and verifying transactions. Additionally, blockchain can help with the creation of smart contracts, which can automate the completion of some transactions and improve the supply chain's overall efficiency. Despite ongoing challenges like scalability and interoperability, blockchain technology has the potential to transform supply chain management and build a more robust, sustainable, and reliable global economy. To increase transparency, accountability, and trust in the supply chain, this article suggests using a Proof of Reputation (PoR) consensus protocol in a blockchain-based supply chain management system. The protocol gives each participant a reputation score based on their previous actions and behavior, and uses this score to securely and decentralized validate transactions and add new blocks to the blockchain. The article offers a collection of Fair-Exchange Assessment Metrics for assessing node reputation as well as an assessment model for choosing the best consensus protocol based on particular needs and objectives. The proposed model, BCSC, outperforms the current model, BRBC, in terms of interference ratio, fair data exchange ratio, and process overhead, according to experimental results. The suggested method has the potential to boost the security, scalability, and effectiveness of supply chain blockchain systems. [ABSTRACT FROM AUTHOR]

The Internet of Things (IoT) enables smart devices to connect, share and exchange data with each other through the internet. Since an IoT environment is open and dynamic, IoT participants may need to collaborate with unknown entities with no proven track record. To ensure successful collaboration among these entities, it is important to establish a mechanism that ensures all entities operate in a trustworthy manner. We present a trust and reputation model that can be used to select the best service provider in an IoT environment. Our proposed model, IoT-CADM (Comprehensive Agent-based Decision-making Model for IoT) is an agent-based decentralised trust and reputation model that can be used to select the best service provider for a particular service based on multi-context quality of service. IoT-CADM is developed using a smart multi-agent IoT environment where information about entities is collected and evaluated using a trust and reputation algorithm. We evaluated the performance of the proposed model against some other well-known models in a simulated smart factory supply chain system. Our experimental results showed that the proposed IoT-CADM achieved the best performance. [ABSTRACT FROM AUTHOR]

Purpose: This study attempts to explore the linkages between reliable big and cloud data analytics capabilities (RB&CDACs) and the comparative advantage (CA) that applies in the manufacturing sector in the countries located in North Africa (NA). These are considered developing countries through generating green product innovation (GPI) and using green process innovations (GPrLs) in their processes and functions as mediating factors, as well as the moderating role of data-driven competitive sustainability (DDCS). Design/methodology/approach: To achieve the aim of this study, 346 useable surveys out of 1,601 were analyzed, and valid responses were retrieved for analysis, representing a 21.6% response rate by applying the quantitative methodology for collecting primary data. Convergent validity and discriminant validity tests were applied to structural equation modeling (SEM) in the CB-covariance-based structural equation modeling (SEM) program, and the data reliability was confirmed. Additionally, a multivariate analysis technique was used via CB-SEM, as hypothesized relationships were evaluated through confirmatory factor analysis (CFA), and then the hypotheses were tested through a structural model. Further, a bootstrapping technique was used to analyze the data. We included GPI and GPrI as mediating factors, while using DDCS as a moderated factor. Findings: The empirical findings indicated that the proposed moderated-mediation model was accepted due to the relationships between the constructs being statistically significant. Further, the findings showed that there is a significant positive effect in the relationship between reliable BCDA capabilities and CAs as well as a mediating effect of GPI and GPrI, which is supported by the proposed formulated hypothesis. Additionally, the findings confirmed that there is a moderating effect represented by data-driven competitive advantage suitability between GPI, GPrI and CA. Research limitations/implications: One of the main limitations of this study is that an applied cross-sectional study provides a snapshot at a given moment in time. Furthermore, it used only one type of methodological approach (i.e. quantitative) rather than using mixed methods to reach more accurate data. Originality/value: This study developed a theoretical model that is obtained from reliable BCDA capabilities, CA, DDCS, green innovation and GPrI. Thus, this piece of work bridges the existing research gap in the literature by testing the moderated-mediation model with a focus on the manufacturing sector that benefits from big data analytics capabilities to improve levels of GPI and competitive advantage. Finally, this study is considered a road map and gaudiness for the importance of applying these factors, which offers new valuable information and findings for managers, practitioners and decision-makers in the manufacturing sector in the NA region. [ABSTRACT FROM AUTHOR]

The synergy between the concepts of circular economy and Industry 4.0 enables a greater movement toward a sustainable society and addresses environmental and economic issues in organizational operations. This study seeks to implement circular economy and Industry 4.0 for waste reduction and resource optimization in Yazd glass factories. It is significant because Iranian factories are not efficient from this point of view and produce a considerable amount of waste. For this purpose, the mixed methodology has been employed. In the qualitative part, 15 enablers are identified by using the meta‐synthesis method, which are categorized into four economic, human resources, organizational‐managerial, and infrastructure dimensions. In the quantitative stage, the cause‐and‐effect relationship between enablers is identified by using the Fuzzy DEMATEL method, and forward and backward scenarios are formulated using fuzzy cognitive map technique. While the research practical contributions include identification of key enablers in implementing circular supply chain management 4.0, formulation of forward and backward scenarios to guide strategic decision‐making in sustainable practices, and offering actionable insights for waste reduction and resource optimization in the glass industry leading to improved operational efficiency, it has theoretical contributions such as highlighting the significance of specific enablers in the successful implementation of circular supply chain management 4.0, demonstrating the interplay between different enablers and their impact on key aspects, and advancing knowledge on sustainable practices within the context of the glass industry, contributing to environmental sustainability and operational excellence in Iranian factories. [ABSTRACT FROM AUTHOR]

We examine whether the risk of losing proprietary information through the supply chain affects relationship‐specific investment (RSI) decisions by supply chain partners. Using state courts' staggered adoption of the Inevitable Disclosure Doctrine (IDD) as a shock to the firm's ability to protect proprietary information, we find that customers increase RSI when their supplier is headquartered in a state that adopts IDD. The effect is more substantial for customers who face a higher risk of losing proprietary information and with suppliers that are difficult to substitute. IDD also plays a more prominent role in the absence of alternate mechanisms that reduce contracting frictions, such as shared directors, common ownership, or joint ventures. Our results are robust to using cross‐citation measures of RSI and alternative estimations that mitigate potential biases arising from the staggered difference‐in‐difference approach. Our findings suggest that proprietary information protection enables firms to reduce contracting frictions arising in supply chain relations. [ABSTRACT FROM AUTHOR]

In the context of global carbon emission reduction (CER) targets and slowing economic growth, it is imperative for suppliers to make informed choices regarding CER and financing strategies. However, limited research has explored the impact of financing strategies on CER. This paper develops a supply chain model that includes a supplier, a manufacturer, an E-commerce platform (E-C platform), and consumers with a preference for low-carbon products. The supplier sets the wholesale price, while the manufacturer controls both the production quantity and the unit amount of CER. We examine whether the manufacturer will invest in CER with sufficient capital or under various financing scenarios, namely (1) traditional production with sufficient capital (Scenario ST); (2) CER implementation with sufficient capital (Scenario SG); (3) CER implementation with E-C platform financing (Scenario EG); (4) CER implementation with bank financing (Scenario BG). Through comparative analysis, the analysis reveals that, regardless of the financing method chosen, the supplier's profit and the manufacturer's production quantity increase when the manufacturer invests in CER technology innovation compared to the traditional scenario. Furthermore, in terms of the manufacturer's profit, if the service cost of bank financing exceeds a certain threshold, the manufacturer should either seek financing from the E-C platform or abandon the CER investment. Additionally, with respect to CER outcomes, Scenario BG outperforms Scenario EG. These findings provide a theoretical foundation and decision-making support for supply chain participants when addressing carbon reduction and financing strategy decisions. [ABSTRACT FROM AUTHOR]

The winter storm of late 2022 caused difficulties for many US-based airlines, but none more so than Southwest Airlines. Like other airlines, Southwest canceled flights in the early stages of the storm. Their attempted recoveries failed due to procedural and technology issues. The airline was unable to cope with the magnitude of canceled flights, aircraft and crews in the wrong places, disrupted passenger plans, and luggage separated from its owners. Over the next several days, Southwest canceled tens of thousands of flights, called in thousands of additional staff to support manual operations, and flew a reduced schedule for a time before returning to normal operations. The case provides numerous scenarios for you to analyze and research, to strengthen your understanding of the underlying concepts. [ABSTRACT FROM AUTHOR]

Early warnings of enterprise credit risk based on supply chain scenarios are helpful for preventing enterprise credit deterioration and resolving systemic risk. Enterprise credit risk data in the supply chain are characterized by higher‐dimension information and class imbalance. The class imbalance influences the feature selection effect, and the feature subset is closely related to the predictive performance of subsequent learning algorithms. Therefore, ensuring the adaptivity of feature selection and the subsequent class imbalance–oriented classification model is a key issue. We propose an AdaBoost ensemble model with fast nondominated feature selection (AdaFNDFS). AdaFNDFS uses the FNDFS method in the AdaBoost algorithm to iteratively select features and uses the classifier to evaluate the performance of feature subsets to train the class imbalance–oriented classifier and the best‐matched feature subset, ensuring the adaptivity of feature selection and subsequent classifiers. The further use of the differential sampling rate (DSR) method enables AdaFNDFS to integrate more training models with different knowledge and to obtain higher accuracy and better generalization ability for prediction tasks facing high‐dimensional information and class imbalance. A test using credit risk data from Chinese listed enterprises containing supply chain information demonstrates that the prediction scoring indicators, such as AUC, KS, AP, and accuracy, of the AdaFNDFS are better than those of basic models such as LR, LDA, DT, and SVM and multiple hybrid models that use SMOTE, feature selection, and ensemble methods. AdaFNDFS outperforms the basic models by at least 0.0073 (0.0344, 0.0349, and 0.0071) in terms of the AUC (KS, AP, and accuracy). AdaFNDFS has outstanding advantages in predicting enterprise credit risk in the supply chain and can support interested decision‐makers. [ABSTRACT FROM AUTHOR]

AbstractIn the event of a disruption at a primary supplier, the manufacturer’s sourcing and production operations are inevitably affected, necessitating a response strategy based on the estimated disruption duration. This article derives the optimal production policy for each response strategy, aiming to minimize total costs over a planning horizon within a dynamic programming framework. We characterize these production policies across various model parameters, particularly focusing on the estimated disruption duration and initial inventory level. Our analysis identifies when the passive acceptance strategy and the backup strategy each hold an advantage, and how the cost benefits of each strategy vary with different model parameters. Additionally, we examine the consequences of overestimating or underestimating the disruption duration, providing insights into how the chosen response strategy and production policy, based on the estimated duration, diverge from the true optimal ones as the actual duration unfolds. We also highlight the cost implications of these discrepancies. Finally, in scenarios where the true duration follows a probabilistic distribution, our numerical experiments demonstrate how strategy selection and the cost of misestimation are influenced by the mean of the true disruption duration and the initial inventory level. These analyses offer decision-makers valuable guidance on when to act or wait in the face of disruptions. [ABSTRACT FROM AUTHOR]

With increased globalisation supply chain (SC) disruption significantly affects people, organisations and society. Supply chain network design (SCND) reduces the effects of disruption, employing mitigation strategies such as extra capacity and flexibility to make SCs resilient. Currently, no systematic literature review classifies mitigation strategies for SCND. This paper systematically reviews the literature on SCND, analysing proposed mitigation strategies and the methods used for their integration into quantitative models. First to understand the key failure drivers SCND literature is categorised using geography, with local, regional or global disruptions linked to vulnerable sections of a SC. Second, the strategies used in mathematical models to increase SC resilience are categorized as proactive, reactive, or SC design quality capabilities. Third, the relative performance of mitigation strategies is analysed to provide a comparison, identifying the most effective strategies in given contexts. Forth, mathematical modelling techniques used in resilient SCND are reviewed, identifying how strategies are integrated into quantitative models. Finally, gaps in knowledge, key research questions and future directions for researchers are described. [ABSTRACT FROM AUTHOR]

Transport and distribution management is a crucial aspect of supply chain logistics, as it allocates resources to optimize delivery times for finished products. This study proposes a vehicle routing system to minimize delivery times for milk to customers and retailers in the dairy supply chain in Magangué and Mompóx, Department of Bolívar, Colombia. The research involves using mathematical models to optimize routes and the utilization of the vehicle fleet. Two mathematical vehicle routing models were developed: the first addresses the Traveling Salesman Problem (TSP) for a single vehicle. In contrast, the second model deals with the capacitated vehicle routing problem (CVRP) for multiple vehicles. Both models were solved using the IBM ILOG CPLEX Optimization software. The study successfully identified viable CVRP and TSP mathematical models for milk distribution, resulting in minimized delivery times to meet the demands of the TSP model. [ABSTRACT FROM AUTHOR]

This research employs numerical simulations and scenario analysis to assess a supply chain model's economic and environmental performance operating under stochastic market demand, with inventory levels managed by a periodic review (R, s, S) inventory system. The inventory model in this research is designed to determine the minimal inventory levels required to achieve predefined fill rates across various operational constraints. The supply chain's inventory model simulates optimal responses to normally distributed market demand within 365-day periods characterized by mean and two levels of demand variability through two fill rate levels, two workweek schedules, 15 review periods, and 16 lead times. By conducting an extensive analysis of the 192000 simulation experiments of the supply chain under periodic review (R, s, S) inventory system, complex influences between system variables and economic outcomes of supply chain operation measured by ordering, transportation, holding, penalty, and total costs along with greenhouse gas emissions arising from inventory-related transportation according to the ISO 14083 standard are analyzed. The insights from this research have significant practical implications, providing valuable guidance for supply chain managers, researchers, and freight companies offering guidance for improving economic and environmental performance. [ABSTRACT FROM AUTHOR]

Copyright of GeSec: Revista de Gestao e Secretariado is the property of Sindicato das Secretarias e Secretarios do Estado de Sao Paulo (SINSESP) and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Background/Objectives: This study investigates consumer perceptions and acceptance of ionizing radiation (IoR) as a perishable food stabilisation technology. Consumers' preferences influence the success of emerging food technologies. Therefore, a comprehensive understanding of consumers' behavioural responses and their development over time is essential. Methods: This research employs a mixed-methods approach, surveying 313 young adults in New Zealand on their views of both irradiated (IoR) and genetically modified (GM) highly perishable foods. This study explored both participants' attitudes towards these two technologies and also their willingness to consume these foods. Results: The qualitative research revealed a preponderance of "affective" associations over "cognitive" associations with regard to both IoR and GM technologies. The quantitative research indicated that where consumers were given time to reflect, evaluations of GM improved, while those of IoR did not (p < 0.01). There was a gender divide, with females being more positively inclined towards GM and males towards IoR (p < 0.01). Both technologies were significantly disfavoured compared to non-treated products (p < 0.01). There was a significant discrimination when the two technologies were presented as concepts and as products. GM was more favourably received as a concept than as a product (p < 0.01), while IoR was disfavoured in either form. The two food neophobia scales that were tested showed a divergence in performance, with the more affectively based scale showing a higher level of correlation with behaviour. Conclusions: This research reveals that a largely affective (visceral) distrust of both IoR and GM exists within this young food consumer sample. As it is affective in nature, this position will be very resistant to education efforts, particularly if they are "cognitively" based. However, a significant softening of these affective attitudes towards GM products indicates that such efforts may be effective, given time and investment. [ABSTRACT FROM AUTHOR]

With the rapid development of e-commerce in China, "live broadcast + e-commerce" has become an emerging mode of the e-commerce industry. The speedy growth of the digital economy has also provided a favorable external environment for fresh agricultural products to ride on the e-commerce express train. As a result, more and more suppliers of fresh agricultural products choose to sell their products on e-commerce platforms and conduct live streaming. This paper utilizes the e-commerce supply chain field survey data, takes tomato as the specific analyzed variety, and studies the revenue distribution pattern of each subject in the supply chain. The purpose of this paper is to explore the optimization strategy of the revenue distribution of an agricultural e-commerce supply chain, and the results show that the agricultural e-commerce supply chain effectively promotes the matching of supply and demand of medium- and high-end agricultural products, realizes the quality premium of medium- and high-end agricultural products, and significantly improves the overall revenue level of the supply chain. The field survey found that under the supply chain model of "farmers + cooperatives + e-commerce platform", farmers, cooperatives, and e-commerce platforms gained $2865, $3098, and $1111, respectively, for operating one mu of tomatoes in a year. According to the traditional Shapley value method, from the point of view of the contribution to the cooperative income, part of the income of the farmers and cooperatives should be compensated to the e-commerce platform, and the specific results are as follows: the income of the farmers should be reduced from $2865 to $2729, the income of the cooperatives should be reduced from $3099 to $2955, and the income of the e-commerce platform should be increased from $1111 to $1390. According to the Shapley value method based on the risk coefficient correction, from the perspective of risk compensation, part of the earnings of the e-commerce platform should be compensated to farmers and cooperatives, so as to establish a more equitable and reasonable pattern of earnings distribution, with the specific results: the earnings of farmers should be increased to $3205, the earnings of cooperatives should be increased to $3148, and the earnings of the e-commerce platform should be reduced to $722. [ABSTRACT FROM AUTHOR]

This article presents the results of a study focused on collaboratively developing an Innovation Management Model (MGI) for the leather agro-industrial chain in Colombia. This study integrates the participation of interested parties, the prioritization of variables, the literature review, and the validation of the model, emphasizing sustainability considerations throughout the process. The methodology involved a literature review, using Scopus and Google Scholar, focusing on innovation management models, open innovation, and sustainability of the leather sector. In addition, three surveys were conducted to prioritize the established variables, using Likert scale questions, to assess relevance and congruence. Key findings included 26 critical variables covering aspects such as agricultural and technological innovation in platforms and projects, capacity development, R&D activities, supply chain dynamics, innovation management processes, knowledge and technology integration, business model adaptation for sustainable development, and environmental impact assessment. The prioritized innovation model aims to guide stakeholders to define open innovation strategies, sustainable and regenerative innovation generation, and improvement of strategic and technological capabilities. [ABSTRACT FROM AUTHOR]

Copyright of Shipin Kexue/ Food Science is the property of Food Science Editorial Department and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

We draw on complementarity and performance landscape perspectives to reason why and how supply chains should shift from a rugged to a smooth performance landscape. We analysed the organisation of supply chain-oriented firms by conceptualising them as a set of interdependent elements whose complementarity interaction generates desirable performance outcomes. We collected perceptual data from 139 firms. After establishing the psychometric properties of the measures, we employed two econometric methods that enabled us to examine the complementary interaction using performance differences among five SCM practices. Overall, we find empirical evidence for complementarity among the SCM practices. We also find interesting results from the two econometric approaches allowing us to articulate the distinction between practice contextuality and interaction contextuality. Our study offers empirical evidence for supply chain managers to find a promising position in the rugged supply chain performance landscape. In addition, we offer noteworthy managerial insights on managing the supply chain towards a smoother supply chain performance landscape. [ABSTRACT FROM AUTHOR]

With the rise and development of the new retail concept, the integration of agricultural product logistics has become one of the important paths to promote agricultural modernization. Xianning, as a major agricultural city in China, possesses abundant characteristic agricultural resources. However, it still faces some challenges in terms of logistics integration. This essay aims to study the path of Xianning’s characteristic agricultural product logistics integration development under the background of new retail, which is of great significance in promoting Xianning’s agricultural modernization and enhancing the market competitiveness of characteristic agricultural products. [ABSTRACT FROM AUTHOR]

Microelectronics integrity is a critical issue for many industries including the Department of Defense (DoD). The military systems the DoD operates are particularly vulnerable to counterfeiting, with potentially costly or even catastrophic consequences. Counterfeits, regardless of production intent (malign or ersatz), raise significant concerns for industry and the DoD because they often demonstrate operational performance shortcomings, have lower reliability, or make components or organizations more vulnerable to attack. This article uses a systems dynamics modeling approach to explore the economics of counterfeiting for a sample system, the interactions between counterfeiters and the US Navy supply chain, and the impacts of counterfeit surveillance and detection to address the question: Is it more effective to target detection efforts at the component level or at the Line Replaceable Units level? A case study of an engine control module for the LM2500 propulsion turbine used on US Navy Arleigh Burke class guided missile destroyer (DDG‐51) platforms is provided to demonstrate the approach. [ABSTRACT FROM AUTHOR]

The selection of suppliers represents a pivotal aspect of supply chain management and has a considerable impact on the success and competitiveness of the organization in question. The selection of a suitable supplier is a multi-criteria decision making (MCDM) problem based on a number of qualitative, quantitative, and even conflicting criteria. The aim of this paper is to propose a novel MCDM approach dedicated to the supplier evaluation problem using an ordered fuzzy decision making system. This study uses a fuzzy inference system based on IF–THEN rules with ordered fuzzy numbers (OFNs). The approach employs the concept of OFNs to account for potential uncertainty and subjectivity in the decision making process, and it also takes into account the trends of changes in assessment values and entropy in the final supplier evaluation. This paper's principal contribution is the development of a knowledge base and the demonstration of its application in an ordered fuzzy expert system for multi-criteria supplier evaluation in a dynamic and uncertain environment. The proposed system takes into account the dynamic changes in the value of assessment parameters in the overall supplier assessment, allowing for the differentiation of suppliers based on current and historical data. The utilization of OFNs in a fuzzy model then allows for a reduction in the complexity of the knowledge base in comparison to a classical fuzzy system and makes it more accessible to users, as it requires only basic arithmetic operations in the inference process. This paper presents a comprehensive framework for the assessment of suppliers against a range of criteria, including local hiring, completeness, and defect factors. Furthermore, the potential to integrate sustainability and ESG (environmental, social, and corporate governance) criteria in the assessment process adds value to the decision making framework by adapting to current trends in supply chain management. [ABSTRACT FROM AUTHOR]

This study investigated non-instantaneous deteriorating items because not all products deteriorate immediately. In the high-tech product life cycle, the product demand increases linearly substantially in the growth stage and maintains a near-constant level in the maturity stage. This is a ramp-type demand rate. To satisfy the demand as shortages occur, partial backlogging is necessary. The advance-cash-credit payment scheme, comprising advance, cash, and credit payments, has gained popularity in business transactions to improve cash flow flexibility among supply chain participants. This study explored a partial backlogging inventory model with ramp-type demand for non-instantaneous deteriorating items under generalized payment. The proposed model also incorporated discounted cash flow analysis to account for the time value of the profit function. This study attempted to determine the optimal replenishment strategy to maximize the present value of the total profit. Finally, we conducted a sensitivity analysis to examine the efficacy of the proposed model and gain managerial insights. The optimal total profit rises with an increase in the permissible delay period and sale price but decreases with an increase in ordering and purchase costs. Then, the decision-maker can refer to the managerial insights to choose the appropriate parameter value for the operation. [ABSTRACT FROM AUTHOR]

The automotive industry, known for its dynamism and innovation, relies on effectiveness of product and process requirements management. Effective collaboration with OEM (Original Equipment Manufacturers) is essential for success. The article analyses how product and process requirements evolve during different project phases, following the APQP (Advanced Product Quality Planning) approach, depending on OEM type. The study focuses on Tier 1 organizations, direct suppliers to the automotive industry, and their diverse approaches to product development. It underscores the need for Tier 1 organizations to maintain flexibility in their operations and to be prepared for changes in OEM demands. The study emphasizes the role of effective communication and coordination among all the levels of the supply chain to ensure the successful implementation of the APQP approach. [ABSTRACT FROM AUTHOR]

The supply chain forms the backbone of the modern consumer economy, weaving an intricate network of stakeholders across geographical and socioeconomic divides. While new technologies have enhanced supply chain management, the market dynamism and network complexities continue to challenge decision-makers. This study employs social network analysis and text mining to unravel technological patterns within the patent landscape of supply chain management. The analysis draws on a dataset of over 32,000 supply chain patents from Lens.org spanning 2000–2022. Network analysis reveals cooperation patterns and key players, while text mining and clustering identify five technology clusters: secure access control, manufacturing, logistics, data management, and RFID. Technology life cycle analysis indicates that secure access control, data management, and RFID have reached maturity, while logistics is still growing and manufacturing faces saturation. The findings highlight that despite maturity, these technologies warrant continued investment to resolve persistent challenges. The technology trends and maturity insights uncovered can help enterprises make informed strategic decisions by aligning R&D initiatives with technology lifecycles. This pioneering study bridges innovation research and technology management, offering a nuanced understanding of supply chain technologies. The framework presented can be extended to analyze other domains, opening avenues for further research. Overall, this study decodes the patent landscape to decode the future. [ABSTRACT FROM AUTHOR]

Modular construction (MC) is an innovative approach to enhancing productivity and sustainability, but its complex and dynamic supply chain is challenging. This paper develops and validates a dialectical system framework for understanding and enhancing the MC supply chain, through the combination of a literature review, interviews with 59 professionals and a case study of modular integrated construction development in Hong Kong, China. The developed framework encompasses seven key components of the MC supply chain technical system – namely, pre-approval, building plan pre-submission, detailed design, module production, logistics, module installation, and quality assurance and quality control – considering various stakeholders embedded in broader contexts. The case study validates the framework as a theoretical lens to comprehend the complex MC supply chain and as a novel analytical model to enhance the MC supply chain from different stakeholder and contextual perspectives. Future research directions are suggested regarding strategy establishment, performance measurement and policy road map development to achieve a mature and sustainable supply chain. [ABSTRACT FROM AUTHOR]

This paper presents a thorough assessment and classification of different uncertain environments used by researchers to analyze inventory management(IM) systems across various sectors, such as ABC analysis, Last In, First Out (LIFO), and batch tracking. Moreover, it introduces the concepts of the neutrosophic principle and fuzzy principle in inventory management. it also investigates the difficulties associated with the traditional inventory model. The primary focus of the study lies in inventory management under the Neutrosophic principle, specifically addressing uncertain demand and imprecise data. By shedding light on the potential of neutrosophic principle, this manuscript contributes valuable insights into overcoming the challenges posed by fuzzy models and enhancing decision-making in the realm of inventory control system. [ABSTRACT FROM AUTHOR]

The primary objective of this research is to design a sustainable supply chain agility model in the oil and gas industry of Bushehr Province. This study employs a mixed-method approach (qualitative-quantitative), content analysis, the fuzzy DEMATEL technique, and the Analytic Network Process (ANP). The statistical population consists of managers, officials, and mid- to senior-level experts from companies operating in the oil and gas industry of Bushehr Province. A sample size of 10 managers, experts, and industry specialists was selected for each stage. The qualitative findings revealed that sustainable supply chain agility indicators are comprised of environmental factors (green purchasing, eco-friendly and economic design and packaging, environmental preservation), economic factors (adoption of information technology, responsiveness, speed, competence, flexibility), and social factors (customer collaboration, ethical purchasing, social responsibility, compliance with laws, integration of relationships, and supplier collaboration). In the quantitative section, the first stage using the fuzzy DEMATEL approach showed that environmental factors fall under the category of effect criteria, while economic and social factors fall under the category of cause variables. ANP findings indicated that among the environmental factors, the green purchasing indicator holds the highest weight (0.33), followed by the environmental preservation indicator (0.087) and eco-friendly and economic design and packaging (0.086). Among the economic factors, the speed indicator has the highest weight (0.0524), followed by flexibility (0.0513) and competence (0.0505). Among the social factors, the customer collaboration indicator (0.0439) and compliance with laws (0.0438) have the highest weight. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Animal Production & Processing Technology / JurnalIlmu Produksi dan Teknologi Hasil Peternakan is the property of IPB University and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

This study explores the distribution of agrowellness products and services from a sustainability perspective, focusing on consumer perceptions in Slovenia's Eastern Cohesion Region. Utilizing an empirical approach through an online survey, the research assesses how sustainable lifestyle practices influence the frequency of agrowellness goods consumption and their perceived availability. The study employs structural equation modeling (SEM) to test four hypotheses, revealing that sustainable lifestyle practices positively affect the frequency of agrowellness product usage, enhancing the perception of product availability. A critical novel contribution of the research is identifying sociodemographic factors as significant moderators of these relationships, offering more profound insights into consumer behavior. Additionally, the frequency of use mediates the link between a sustainable lifestyle and perceived availability, with gender, age, education, and the place of residence as essential moderators. The findings contribute to theory and practice, offering actionable recommendations for marketing and distribution strategies to enhance the accessibility and appeal of agrowellness products. These insights provide valuable guidance for stakeholders in agriculture, rural development, and wellness tourism, with broader implications for policy development aimed at promoting sustainable lifestyles and supporting rural economies. [ABSTRACT FROM AUTHOR]

Sustainability in business processes is a buzz in the business world. This research aims to focus on the supply chain process of the business. Not only for securing their future but also for considering it as a responsibility towards society. There are a lot of innovations happening in strategies adopted for ensuring sustainable applications in the supply chain process. This study has tried to identify some breakthrough strategies in the supply chain management processes which are sustainable in nature. Some of these strategies are reducing wastage, green shipping, sustainable packaging, reuse and recycle and adopting e-commerce platforms to sell the merchandise. Secondly, to ensure that sustainability is achieved, the study has taken the TBL (triple bottom line) as the metrics to measure sustainability. The TBL has been also considered as the mediating variable between supply chain strategies and the organization growth factors. Structured Equation Modelling was performed to study the model fit. It was observed that sustainable supply chain management directly has a significant influence on Organizational Growth and on TBL. But TBL has no significant influence on Organizational Growth. Also, sustainable supply chain management indirectly has no significant influence on organizational Growth through the triple bottom line as a mediating variable. The result of One-Way ANOVA says that there is a significant impact of different sectors like electronics manufacturing companies, apparel companies, and FMCG companies on organization growth. [ABSTRACT FROM AUTHOR]

Using data from 34 Chinese industries from January 2007 to February 2024, we examine risk spillover in the economic system and the channels through which geopolitical risk (GPR) influences contagion effects. Risk spillover measurements are calculated for both the short and long term by combining variational mode decomposition with the variance decomposition of vector autoregression. Our findings provide evidence of significant and time‐varying spillovers among industries over time. The results on densities and assortativity coefficients indicate the presence of structural changes in the risk network during geopolitical crises. Furthermore, we find that the real linkage (input–output nexus) is an important determinant of long‐term spillovers during periods of high GPR, and the information channel (market sentiment) is associated with risk contagion caused by GPR in both the short and long term. Overall, this paper offers valuable insights to prevent and mitigate the negative consequences triggered by geopolitical events on the stability of the economic system. [ABSTRACT FROM AUTHOR]