Supply Chain Risk Management Research Papers (original) (raw)

2025, International Journal of Supply Chain Management

The prime objective of the currents study is to examine the role of the risk management committee in managing the supply chain risk and enhancing the supply chain performance. The three risk measures namely supply chain technology risk, supply chain integration risk and supply chain integration risk are used to conceptualize the firm supply chain risk. The risk management committee is one of a feature of the code of corporate governance which during the last couple of years have widely discussed in the literature in the reference of financial risk management. However, little or no attention has been given to explore the issue with the reference of operational risk management, especially in supply chain risk management. This is among the few pioneering studies being carried out to explore the direct role of risk management committee on firm supply performance and its moderating role on firm supply chain risk and firm supply performance. The SEM-PLS is used to achieve the research obj...

2025, International Journal of Supply Chain Management

The prime objective of the current study is to explore the relationship between supply chain operational performance and firm supply chain management in the reference of agency theory. To further explain the role of agency theory, in the supply chain management we have examined the direct and indirect impact of supply chain operational performance on firm supply chain management. The SMART-PLS is used to achieve the objective of the current stud. The data is collected from the operation managers, production managers and finance managers of manufacturing firms listed in Indonesian Stock Exchange. The results of the study have shown a great deal of agreement with our proposed hypothesis. The corporate governance index comprising of board characteristics appears as a moderator in the relationship between supply chain operational performance and firm supply chain management. The results of the current study are also providing support to agency theory and resource base theory. The study ...

2025

Purpose: This paper examines how supplier-firm relationship and firm-customer relationship affect the performances of the firm's working capital management of purchasing channels and marketing channels respectively. Design/Methodology/ Approach: The article selects data of listed companies in manufacturing industry from 2016 to 2017 as a sample, and empirically analyzes the mechanism of supply chain management of manufacturing enterprises that affects the performance of operational working capital management. Findings: Our results reveals that working capital turnover in purchasing channels is adversely related to the timeliness of payments (receivables), which shows that overdue loan (undue credit) decreases the efficiency of working capital management in purchasing channels. Our results also describe that the association between working capital conversion cycle in purchasing channels and the supplier concentration is “U-shaped”, which demonstrate that both centralize and diver...

2025

Companies today face the challenge of improving product development performance and ensuring supply chain resilience in the highly competitive business environment. Innovation, efficiency, and risk mitigation opportunities can be uncovered using a conceptual framework that maximizes supplier involvement. Organizations can identify crucial points in the product development process and cultivate strong relationships with suppliers based on trust, transparency, and mutual benefit by establishing clear objectives and goals for supplier involvement. The primary objective of this research is to create a comprehensive conceptual model that seamlessly combines supplier involvement, collaborative product development efficiency, an operational collaboration between suppliers and manufacturers, product development performance, and supply chain resilience. Through the collaborative development of products and operational collaboration, both initiated by supplier involvement, organizations can utilize this model to improve their performance in product development and strengthen the resilience of their supply chains. Organizations looking to boost supply chain resilience and product development performance can use this comprehensive conceptual model as a guide. Organizations have the potential to open up new avenues for innovation, efficiency, and risk mitigation by emphasizing supplier involvement, collaborative product development competence, and operational collaboration. Organizations can optimize resource allocation, reduce development cycles, enhance product quality, and increase customer satisfaction by integrating supplier involvement, collaborative product development competence, and operational collaboration.

2025

As the competition among manufacturing organizations is getting tough the only choice left to manufacturers is to have an integration between the customer and the manufacturer at various stages of the product i.e. design, manufacturing, sales and marketing etc. The information which results in this integration can be used to set up modular production facilities. This well informed system which is a smart system right from the design stage to the customer service stage overcomes all limitations which was not possible before and thus helps in the success of agile manufacturing whereas the concept of Industry 4.0 refers to the notion of smart manufacturing works where live data sharing among intelligent machines ends up providing an intelligent manufacturing system. Researchers in this paper examine the similarity of 4 industrial revolution and agile manufacturing concepts. This paper indicates that Small and Medium Enterprises can positively commit into the new concept of industry 4.0...

2025, The European Proceedings of Social and Behavioural Sciences

As the competition among manufacturing organizations is getting tough the only choice left to manufacturers is to have an integration between the customer and the manufacturer at various stages of the product i.e. design, manufacturing, sales and marketing etc. The information which results in this integration can be used to set up modular production facilities. This well informed system which is a smart system right from the design stage to the customer service stage overcomes all limitations which was not possible before and thus helps in the success of agile manufacturing whereas the concept of Industry 4.0 refers to the notion of smart manufacturing works where live data sharing among intelligent machines ends up providing an intelligent manufacturing system. Researchers in this paper examine the similarity of 4 th industrial revolution and agile manufacturing concepts. This paper indicates that Small and Medium Enterprises can positively commit into the new concept of industry 4.0 with the perception that they can become more flexible and responsive. However, there is an increasing need for future research to include and emphasize the importance of flexible manufacturing and mass customization.

2025, JUJBR

This paper aims to analyze how the information of the US ban on Huawei Technologies and the ensuing trade war between the US and China have influenced e-commerce and international business in the UK. The global digital economy is interdependent, and e-commerce-related policies play a significant role in shaping its influence and direction globally. Telecommunication with smartphones and other technologies are driving this change with an impact on international business, specifically the ibusiness platforms in the UK market. This study combines both secondary and primary research. Secondary research data were collected from published academic journals, books, government websites, newspaper articles, and interviews with industry experts on different YouTube channels. Additionally, primary research data were collected through six in-depth interviews with industry experts and academics from the US, China, and the UK, which added value to gaining a profound level of insight into the subject matter and its associated policy implications. Aspects of e-commerce, trade flows, the global value chain, and international business in general are critically evaluated in the review, based on the empirical findings that indicate areas of multi-level impact. Ecommerce-related policy analysis is undertaken in this process to make recommendations with the limitations and further scope of the study.

2025, Advances in Consumer Research

The increasing complexity and vulnerability of modern supply chains, exacerbated by geopolitical tensions, climate variability, and fraudulent activities, highlights the need for robust AI-driven risk management solutions. This research presents a unified, data-driven framework that utilizes machine learning (ML), deep learning (DL), and reinforcement learning (RL) to enhance supplier risk resilience and optimize logistics under disruptive conditions. We use a comprehensive dataset of 1,000 supplier transactions, enriched with historical demand, weather indices, geopolitical risk scores, shipment anomalies, and financial health indicators. We apply various regression models, including Linear Regression, Random Forest Regressor, XGBoost Regressor, and Multi-Layer Perceptron, to forecast future demand and quantify supplier risk, assessing performance with metrics such as Mean Absolute Error (MAE), Mean Squared Error (MSE), and R². Next, we employ Isolation Forests for real-time disruption detection, analysing features like price spike percentages, delivery delays, and sentiment scores to enable the early identification of anomalous events. To optimize dynamic routing in the face of stochastic disruptions, we design a custom Open-AI Gym environment and train a Deep Q-Network (DQN) agent that balances fuel costs, delays, and penalties for anomalies, evaluating the strategy's effectiveness through cumulative reward analyses. Finally, we built a deep neural network using a synthetic fraud dataset for transactional fraud detection, applying SMOTE for class balancing. This results in near-perfect accuracy (>99.9%), as validated by train/validation loss curves and classification reports. The integrated framework provides end-to-end supplier risk analytics, combining predictive forecasting, anomaly detection, route optimization, and fraud identification to support resilient decision-making in supply chain operations. Key evaluation metrics include MAE, MSE, and R² for forecasting; contamination rates for anomaly detection; cumulative rewards for reinforcement learning performance; and accuracy, precision, recall, and AUC for fraud classification.

2025

Supply chains of staple crops, in developed and developing regions, are vulnerable to an array of disturbances and disruptions. These include biotic, abiotic and institutional risk factors. Artificial intelligence (AI) systems have the potential to mitigate some of these vulnerabilities across supply chains, and thereby improve the state of global food security. However, the particular properties of each supply chain phase, from "the farm to the fork," might suggest that some phases are more vulnerable to risks than others. Furthermore, the social circumstances and technological environment of each phase may indicate that several phases of the supply chains will be more receptive to AI adoption and deployment than others. This research paper seeks to test these assumptions to inform the integration of AI in agricultural supply chains. It employs a supply chain risk management approach (SCRM) and draws on a mix-methods research design. In the qualitative component of the research, interviews are conducted with agricultural supply chain and food security experts from the Food and Agricultural Organization of the UN (FAO), the World Bank, CGIAR, the World Food Program (WFP) and the University of Cambridge. In the quantitative component of the paper, seventy-two scientists and researchers in the domains of digital agriculture, big data in agriculture and agricultural supply chains are surveyed. The survey is used to generate assessments of the vulnerability of different phases of supply chains to biotic, abiotic and institutional risks, and the ease of AI adoption and deployment in these phases. The findings show that respondents expect the vulnerability to risks of all but one supply chain phases to increase over the next ten years. Importantly, where the integration of AI systems will be most desirable, in highly vulnerable supply chain phases in developing countries, the potential for AI integration is likely to be limited. To the best of our knowledge, the methodical examination of AI through the prism of agricultural SCRM, drawing on expert insights, has never been conducted. This paper carries out a first assessment of this kind and provides preliminary prioritizations to benefit agricultural SCRM as well as to guide further research on AI for global food security.

2025, Satyanarayana Ballamudi

Through algorithms, scenario-based planning, and integration with SAP S/4HANA, the solution helps businesses make data-driven decisions while ensuring seamless communication between carriers, suppliers, and customers. Additionally, integration with external systems via Electronic Data Interchange (EDI) and APIs has improved visibility across the supply chain, allowing for proactive exception management and automated notifications. By implementing key enhancements, companies have achieved significant cost reductions, improved shipment visibility, and strengthened overall supply chain management. Research significance: Implementing SAP Transportation Management (SAP TM) is critical to modernizing logistics operations by improving transportation efficiency, optimizing freight costs, and ensuring regulatory compliance. The research highlights the need to create actions to initiate shipments, adjust transportation requests, and manage the lifecycle of merchandise, ensuring data integrity, and process automation. These advancements significantly contribute to reducing administrative workload, improving real-time tracking, and reducing transportation costs through optimal route planning and carrier selection.

2025

To reduce the lead-time, modern logistics seeks to respond faster by accelerating physical and information flows. However, what are the impacts on logistics workers of an ever-faster logic? The purpose of this paper is to examine the relationship between process acceleration and the autonomy of order pickers. The method is to use exploratory qualitative research, based on fifteen visits to different regional distribution centers (RDCs) in the retail supermarket sector. The contribution of this paper is to apply Rosa's (2013) social acceleration theory to the specific context of logistics warehousing and to demonstrate how speeding up order picking systems is a key driver of change that has an impact on worker autonomy.

2025, RePEc: Research Papers in Economics

Logistics is traditionally driven by operational demands. Therefore innovations are mainly based on direct customer requests. However, logistics service providers (LSPs) have started to realize the importance of proactive innovation to improve competitiveness. As they often lack internal competences and capacities, the open innovation paradigm (e.g. innovation contests) constitutes a promising way to improve their innovativeness. The aim of this paper is to evaluate the use of innovation contests as an open innovation initiative for LSPs. Opportunities and challenges for LSPs to conduct an innovation contest are analyzed. An in-depth case-study of the company Hermes, a German parcel distribution service provider that has successfully run an innovation contest, is used to derive success factors. Results indicate that LSPs can benefit from innovation contests, if they consider certain success factors. This study expands the discussion of open innovation to the logistics sector and supports LSPs in evaluating the potential of innovation contests for their business context.

2025

As attention around environmental sustainability themes is increasing, a multiple attribute environmental sustainability philosophy called Cradle to Cradle (C2C) has recently been developed and presented. The C2C concept provides a new vision of environmental sustainability to companies, to do "more good" to the environment rather than "less bad". An important and central aspect is to eliminate the concept of waste by closing technical as well as biological cycles. The aim of this paper is to analyze which factors from closed-loop supply chain management can facilitate the realization of the technical cycle of C2C certified products. Based on six case studies of different companies, we investigate which factors of existing closed-loop supply chain concepts are critical for the C2C technical cycle. Altogether this research links the theory of closed-loop supply chains to the concept of C2C and provides new insights concerning successful implementation of the technical cycle.

2025

2025, The International Journal of Advanced Manufacturing Technology

Supply chains today are exposed to a lot of turbulence with outsized unforeseen penalties of seemingly contained events. It is significant for practitioners to identify and classify risks into various categories for the ease of monitoring. After the risks are classified, drivers for the particular risk need to be identified and addressed. A distinctive risk driver can be the instigating cause for many auxiliary drivers of risks; alternatively, a risk driver can be a secondary driver initiated as the effect of one or more primary drivers. This study contributes to ascertain and construct a causal effect diagram on predominant risk drivers archetypally seen in electronic supply chains. A combination of grey theory and DEMATEL methodologies has been employed in this study and a case evaluation was also done. The combined methodology is to deal with judgmental decisions and to transmute them to interpretable cause-effect diagraphs. It is evident from the results of proposed model that the risk drivers are interconnected and one risk driver can be the cause/effect of one or more risk drivers. Fluctuating exchange rates is found to be the principal causal driver initiating the effects of other risk drivers too, trailed by loss of information system and supply failure. Risk arising from the cost of capacity is the effect driver for most of the risk drivers, followed by bull whip effects and capacity inflexibility. In conclusion, the benefits of the research are of twofold, first to recognize and categorize the drivers of major supply chain risks and the other is to effectively identify the chief risk drivers, where the managers and practitioners could really concentrate on. A significant managerial implication of this research is that steps taken for curtailing the causal risk drivers can sequentially lead to dwindled effect risk drivers, leading to enhanced management of supply chain vulnerability.

2025, International Journal of Production Research

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2025, International Journal of Logistics Management

Purpose-The study identifies nine important research areas and critically maps the structural relationships among supply chain resilience (SCRES) dimensions, namely, vulnerabilities, capabilities, strategies and performance metrics. The analysis also revealed various influential authors, journals, institutions and trending articles, across SCRES literature. Design/methodology/approach-This study performs a bibliometric analysis of 771 articles published over the 32 years from 1988 to 2020, and network analysis in combination with content analysis of 90 most cited articles published in research fronts of SCRES. Findings-The results demonstrate the underlying research areas within the SCRES, which are clustered into nine research themes: (1) conceptual development of SCRES, (2) recent developments of designing resilient supply chain (SC) networks, (3) focus on identifying drivers of SC vulnerability and risks, (4) impact of risks on network resilience, (5) risk assessment to avoid breakdowns/disruptions, (6) measuring resilience approaches/ drivers to improve SC performance, (7) building resilient capabilities by integrating other SC dimensions, (8) quantification of SC network and (9) emphasis on developing robustness in SC networks. Practical implications-This research offers implications for classifying the works in literature based on bibliometric information and network analysis techniques. This can help researchers and practitioners to understand the prominent areas in SCRES and provide guidelines for future research in this area. Originality/value-This study provides an overview of the evolution of SCRES over time in the domain of supply chain management and also outlines a future research agenda claimed by the trending articles to encourage further investigations in the field of SCRES.

2025, International Journal of Social Science and Economics Invention

The purpose of this study is to examine the influence of environment management practices towards supply chain risk management. This study is conducted to find the relationship between environment variables and relate factors that influence supply chain risk management. The research will explore the dimension environment management practices that are technological, organizational and environmental aspect of environment management towards the supply chain risk management model. The paper theoretically develops logic for that environmental management practices is an important factor towards supply chain risk management in order to remain competitive in the challenging and competitive business environment.

2025, Strategic Data Management and Innovation

The increasing reliance on engineering databases for storing, managing, and processing sensitive industrial and operational data has heightened their susceptibility to evolving cybersecurity threats. To ensure data confidentiality, integrity, and availability, structured cybersecurity risk assessment frameworks are essential for identifying vulnerabilities, mitigating cyber risks, and enhancing database security. This study presents a systematic review of 125 high-quality articles following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, offering a comprehensive analysis of risk assessment methodologies, regulatory frameworks, and cybersecurity governance models applicable to engineering database environments. The findings highlight that risk quantification models such as CVSS, FAIR, and CRAMM are widely utilized for evaluating cybersecurity threats, with CVSS being the most frequently applied due to its standardized vulnerability scoring approach. Additionally, supply chain vulnerabilities, insider threats, and ransomware attacks emerged as the most significant cybersecurity risks, requiring multilayered security controls, zero-trust frameworks, and continuous monitoring for effective mitigation. Regulatory compliance frameworks such as GDPR, NIST SP 800-53, and CMMC were found to be instrumental in enhancing cybersecurity resilience, ensuring adherence to standardized security policies and legal requirements. Furthermore, the study underscores the increasing adoption of AI-driven risk assessment models, predictive analytics, and security automation as critical components of modern cybersecurity strategies. The results confirm that engineering database security must evolve beyond traditional risk assessment models by integrating advanced AI-driven analytics, proactive risk governance, and compliance-driven cybersecurity frameworks to safeguard against emerging cyber threats in high-risk industrial environments. The findings contribute to the growing body of research on cybersecurity risk assessment and provide practical insights for database administrators, cybersecurity professionals, and regulatory bodies working to fortify engineering databases against sophisticated cyberattacks.

2025, Artificial Intelligence Review

Quantitative causal modelling techniques assumes great prominence in any manufacturing or supply chain environments. A novel causal modelling technique, the Grey Causal Modelling (GCM) is proposed in this research that can model complex causal relationships in a system. The GCM technique, as illustrated in this study can consider four features in a complex causal modelling situation, which are characterised as; the events, the outcomes, the objectives, and the effects. The implementation of the proposed methodology involves a two-phase approach and the same needs evaluation data from experts in two stages. We also propose the idea of magnitude plots to quantify and represent the cause-consequence (event-outcome) relations in GCM. The application of GCM technique is demonstrated with two numerical examples in manufacturing environment. Also, a practical problem for achieving resilience and sustainability objectives in a case supply chain is solved. The methodology is implemented following a seven step procedure for the case, which briefly include; identification of key factors, obtain the influence ratings, separate the events and outcomes, rank the event-outcome pairs for each objectives, calculate the effects for situation sets, obtain the magnitude of effects and make the magnitude plots, and build the causal magnitude table and prioritise the causal factors. From the analysis of results of the case, it is seen that redundancy and adaptability emerge as the critical causal factors for the supply chain in consideration of resilience and sustainability objectives, together. The GCM technique, as proposed in this research will be useful for practitioners in manufacturing, supply chains, and in other areas such as; management, social sciences, and natural sciences, as they can analyze complex cause-consequence relationships among factors in a system.

2025, Data & Knowledge Engineering

We observe and analyze the causal relations among risk factors in a system, considering the manufacturing supply chains. Seven major categories of risks were identified and scrutinized and the detailed analysis of causal relations using the grey influence analysis (GINA) methodology is outlined. With expert response based survey, we conduct an initial analysis of the risks using risk matrix analysis (RMA) and the risks under high priority are identified. Later, the GINA is implemented to understand the causal relations among various categories of risks, which is particularly useful in group decision-making environments. The results from RMA concludes that the capacity risks (CR) and delays (DL) are in the category of very high priority risks. GINA results also ratify the conclusions from RMA and observes that managers need to control and manage capacity risks (CR) and delays (DL) with high priorities. Additionally from the results of GINA, the causal factors disruptions (DS) and forecast risks (FR) appear to be primary importance and if unattended can lead to the initiation of several other risks in supply chains. Managers are recommended to identify disruptions at an early stage in supply chains and reduce the forecast errors to avoid bullwhips in supply chains.

2025, IEEE Transactions on Computational Social Systems

Social dimensions of sustainability are far less discussed in the spectrum of sustainability. As suppliers are able to influence decisions across a supply network, we argue that the considerations for the social aspects of sustainability should begin from the process of supplier selection. Integrating social sustainability into the supplier selection process can ensure that firms can focus on the wider aspects of sustainability. We use a sustainability framework for social sustainability to identify the social sustainability factors for supplier selection. Based on this and the related literature, we identify and classify the factors into six categories of human rights and equity, health and safety, wages and benefits, education and training, child and bonded labor, and, finally, philanthropy and ethics. Furthermore, we propose a two-layered grey stratified decision-making (GSDM) model for identifying the best suppliers, by considering the attributes of social sustainability, along with the primary performance attributes of supplier selection, subject to a set of diverse objectives. A case evaluation and implementation of the proposed methodology has been conducted in the context of an electronics manufacturing industry in India. Here, we address the specific problem of social sustainability-based supplier selection, and the methodology is novel, as it can address the problems with compensatory aggregation in multicriteria decision-making situations. This research helps in increasing the awareness among firms regarding social sustainability and the related factors, and their prominence for a supplier selection problem, focusing on the sustainability theory extended to firms. Considering the practical implications of the study, managers and practitioners can ascertain the importance of social sustainability and the related factors in any strategic decision-making situation, including supplier selection.

2025, Safety and Security Engineering VII

Competitiveness based on the efficient operation of global supply chains requires a reduction of total logistic costs while maintaining them flexible to market changes and unforeseen events. Therefore, the focus on safety remains a key issue within the study of supply chains. Safety (or lack thereof) has an impact on operating costs, delivery time, inventory volume and the value of insurance rates, which can lead to a decrease of international competitiveness. This makes supply chain safety a competitive advantage, source of added value. The present study aims to expose risk factors assessment using an adaptation of the Fine-Kinney method, in which risks are analysed based on their risk exposure, likelihood and impact severity. This adaptation includes an adjustment on the occurrence scale to consider the general degree of incidence, as well as on the severity scale to consider the number of impacts that each risk involves. A risk map for the processes associated with the chain using the scales considered is also proposed. Risks associated to the supply chain of a chemical company located in Mexico are assessed using this methodology, in order to establish the degree of vulnerability of each process involved, as well as to document the existing processes in the mitigation of risks. In the scope of the analysis, a total of 118 risks were found and classified, spotting 14 with a high-risk level. 18.6% of documented risk mitigation plans were detected, as well as 38.98% of undocumented plans. This is a first effort on identifying the sources of risk and thus, can be useful to prioritize the mitigation approach towards each one, in order to develop over the long term a risk management process at a corporative level.

2025, International Journal of Supply Chain Management

This paper proposes a fair and balanced risk and value-added distribution as a novel approach for collaborative supply chain. The objective of this article is to analyze the existing methods and approaches for risk management, value-adding, risk and revenue sharing to develop a new framework for balancing risk and value-adding in collaborative supply chains. The authors reviewed and synthesized 162 scientific articles which were published between 2001 and 2017 and. The reviewed articles were categorized into supply chain management and performance, risk management, value-added, fair risk and value-added distribution and supply chain negotiation. The potentials identified for future research were the importance of decision-making and sustainability for effectiveness of supply chain risk management. Most previous authors have applied an approach of revenue –and risk-- sharing with both decentralized and centralized supply chains to achieve the fair risk and value-added distribution. T...

2025, Jurnal Manajemen dan Organisasi

To meet the needs of the national corn on the feed industry that requires a continuous supply of raw materials with a definite quantity throughout the year, in the national maize production conditions that is not continuous and fluctuating, it is necessary supply planning and storage methods to avoid the risk of maize corn supply crisis form of food shortages or rising feed prices. One method is to apply the concept of supply chain risk management. The high level of dependence and complexity of networks makes supply chain of agricultural products supply chain is becoming more vulnerable to interference. The risk of supply chain disturbance can occur internally (the relation between the organization with a network of suppliers) and external (between network suppliers with the environment). Therefore it is necessary to identify and evaluate supply chain risks in order to avoid continuing problems that can occur at any point in the supply chain network. The objective of this study is to describe the model of identification and evaluation for maize supply chain risk. This model can be used to identify the dominant risk factors and variables at each level of supply chain so that it will be obtained appropriate recommendations action to anticipate them. Risk identification will be conducted with fuzzy AHP approach and risk evaluation would be done by using fuzzy logic with data input form the opinion of several experts maize supply chain.

2025, Journal of Computer-Mediated Communication

Generally, it is found that farmers have no bargaining power in price determination. Thus, they have to bear all the risks compared to the others. In addition, price exchanging at farmer level tends to fluctuate significantly. Therefore, it is required to develop a mechanism for price negotiation, which distributes the risks fairly for each stakeholder in the supply chain. The objective of this study is to describe the model of identification and evaluation for corn supply chain risks, to formulate a fair pricing mechanism for corn supply chain using risk balancing model, and to develop intelligent decision support system for supply chain risk management. Risk identification was conducted using fuzzy AHP approach and risk evaluation was done by using fuzzy logic with data input derived from the opinion of several experts of maize supply chain. A fairly pricing model at farmer level was developed by using stakeholder dialogue approach based on a balanced fuzzy risk utility preference...

2025, Think Tank Journal

In his incisive article, "WTI Oil Slides as Analysts Eye Hormuz Threat", Rayyan Ahmed dissects the recent downturn in West Texas Intermediate (WTI) crude prices amid escalating tensions in the Strait of Hormuz—a critical chokepoint for... more

2025

My sincerest appreciation and gratitude extends to my committee chair, Dr. Jennifer Blackhurst for her relentless support and assistance throughout my graduate education. Despite obstacles and challenges she has continued to inspire, serve as mentor and friend, without whom, this achievement would not be possible. I would also like to thank Dr. Frank Montabon for graciously serving as co-chair in the middle of my program. His quick transition and guidance enabled the timely accomplishment of my goals.

2025, Journal on Systemics, Cybernetics and Informatics

2025

Use of any trademarks in this report is not intended in any way to infringe on the rights of the trademark holder. Internal use. Permission to reproduce this document and to prepare derivative works from this document for internal use is granted, provided the copyright and "No Warranty" statements are included with all reproductions and derivative works.

2025

How can mission survivability be maintained as interoperability of systems increases? Research sponsored by the Office of the Under Secretary of Defense for Acquisition, Technology and Logistics (OUSD [AT&L]) How can operational impacts (such as information security) be tied to technology changes in operational mission execution? U.S. Air Force's Electronic systems Center (ESC) Cryptologic Systems Group (CPSG)

2025

Expanded use of commercial components has increased the complexity of system assurance verification. Modelbased engineering (MBE) offers a means to design, develop, analyze, and maintain a complex system architecture. Architecture Analysis & Design Language (AADL), which has tools for modeling and compliance verification, provides an effective capability to model and describe all component units in a sourced product and implement practical measures for their management and assurance throughout the acquisition life cycle. Supply Chain Context The manner in which we develop complex software and systems has changed considerably since the dawn of the Internet age [1, 2]. Much of that change has occurred because software has become big business. The most recent estimate of the size of the industry is $407.3 billion per annum, with a 4.8% annual growth [3]. As a result of the vast increase in the scope of the marketplace, commercial components are ubiquitous in our infrastructure [4]. Thi...

2025

In today’s operational environments, multiple organizations often are required to work collaboratively in pursuit of a single mission, creating management complexity that is difficult to manage effectively. Successful execution of a multi-organizational mission demands management approaches that effectively coordinate task execution and risk management activities among all participating groups. Organizations across government and industry are beginning to implement mission assurance programs in an effort to coordinate mission execution and help ensure mission success.

2025

Artificial Intelligence (Al) is revolutionizing supply chain management (SCM) in the wood furniture sector, bringing numerous opportunities for greater efficiency, waste reduction, and sustainability. The paper reviews how Al technologies, including machine learning and predictive analytics, help overcome challenges like demand forecasting, inventory management, and logistics optimization. Although Al promises considerable potential for cost savings and operational efficiencies, there are challenges to adoption such as high costs, technical complexity, and labor shortages. This research underlines the importance of planning the integration of Al in a manner that establishes resilient and environmentally friendly supply chains. Leveraging Al can not only help businesses in the wooden furniture industry to keep up with consumer needs, meet environmental regulations, and remain competitive. This research offers actionable insights and implications for industry players eager to use Al to build smarter, more resilient supply chain solutions

2025, IJRAME PUBLICATIONS

The objective of this study is to enhance SCM through the collaborative networks approach for social change and collective impact. This is achieved by making use of the theory of social network and structural equation modeling while looking at competencies at various levels, which include individual, organizational, and inter-organizational levels.The research examines the importance of organizational awareness, supply network competence, and collaborative awareness concerning how these competencies influence strategic partnerships and overall firm performance. Social exchange theory (SET) is further utilized to understand the influence of trust, commitment, reciprocity, and power on information sharing and collaboration within supply chains. The study focuses on empirical analysis that uses a case study in the manufacturing sector, in order to argue that knowledge exchange and inter-organizational relationships produce competitive advantages. Findings and implications: In an effort to facilitate more sustainable, equitable, and efficient supply chains in the face of global challenges, the research develops a multi-level framework for SCM integrating human resource management practices, collaborative behaviors, and technological solutions.

2025, Metallurgical and Materials Engineering

Focusing on Indian warehouses, this paper looks at how Material Handling Equipment (MHE) affects warehouse performance. The study assesses the dependability and validity of the relevant constructs using structural equation modelling. The data was collected from 142 samples i.e., employees working in warehouse companies in Bangalore, Chennai and Hyderabad cities in India. The findings show that although both MHE and warehouse performance constructs show reasonable internal consistency, warehouse performance shows especially strong construct reliability and convergent validity, with Cronbach's Alpha (0.801), rho_A (0.808), Composite Reliability (0.909), and AVE (0.834) well above standard thresholds. By comparison, MHE shows average convergent validity with an AVE of 0.464. With a path coefficient of-0.824 and a pvalue of 0.000, structural model analysis shows a strong and statistically significant negative correlation between MHE and warehouse performance. Increased use or mismanagement of MHE could thereby harm warehouse efficiency, whether because of inadequate equipment choice, maintenance problems, or operational discrepancies. The results underline the need of a more calculated approach to MHE planning and management to maximize warehouse performance in the Indian logistics sector.

2025

The aim of this thesis is first to investigate the global supply chain design problem by deep analysis and classification of research papers by special focus on the topics of global supply chain configurations and affecting drivers and second to extract the global supply chain configurations of some global companies by means of case studies. Literature review is made by clustering the papers into three main categories which are qualitative, quantitative and integrated papers. The summary tables of the reviewed papers are showed in the Appendix part. After the general literature review, we focused our attention to the contemporary literature about existing global supply chain configurations and drivers affecting global supply chain design. In configurations part, possible configurations are discussed and a model which shows all these configurations on it is proposed in order to use it in case studies part of the thesis. In drivers' part, 32 drivers affecting the supply chain design decision is dealt and measurement method for each of them is given. For the case studies part, 47 leading companies in their industry sectors are investigated to extract the global supply chain configurations of them and place the configuration on the model that we developed. Also, with the practice of this study we aim to have a judgment on how companies decide to adopt the most suitable supply chain configuration for them considering their business areas, strategies, constraints and drivers. As a result, the findings related with supply chain practices of the companies are presented and general opinion based on the relation between industry and configuration selection is discussed.

2025

This study investigates how tech-driven integration (TDI), supply chain flexibility (SCF), and organizational ambidexterity (ORA) influence supply chain integration (SCI) and supply chain performance (SCP) in manufacturing firms. Supply chain uncertainty and agility are examined as moderating factors in the relationship between TDI, SCF, ORA, SCI, and supply chain performance. Based on insights from two experts and a comprehensive literature review, 35 measurement items were identified for the close-ended questionnaire design. Grounded in the resourcebased view, the study employs the partial least squares structural equation modeling (PLS-SEM) approach to analyze 409 valid responses from the manufacturing industry. Our findings reveal that TDI and ORA positively impact SCI, while SCF has no significant influence on SCI. SCI directly influences SCP. Supply chain uncertainty moderates the two impacts: TDI and SCI; ORA and SCI. Besides, supply chain agility moderates the relationship between SCI and SCP. Our findings contribute to the literature by introducing a novel perspective on the relational dynamics of supply chain management by TDI and emphasizing the importance of organizational ambidexterity. We provide practical recommendations for managers to improve firm performance by strengthening the connections between TDI, SCF, ORA, uncertainty, agility, SCI, and SCP.

2025, Environmental Science and Pollution Research

This study develops a mathematical model to mitigate disruptions in a three-stage (i.e., supplier, manufacturer, retailer) supply chain network subject to a natural disaster like COVID-19 pandemic. This optimization model aims to manage supply chain disruptions for a pandemic situation where disruptions can occur to both the supplier and the retailer. This study proposes an inventory policy using the renewal reward theory for maximizing profit for the manufacturer under study. Tested using two heuristics algorithms, namely the genetic algorithm (GA) and pattern search (PS), the proposed inventory-based disruption risk mitigation model provides the manufacturer with an optimum decision to maximize profits in a production cycle. A sensitivity analysis was offered to ensure the applicability of the model in practical settings. Results reveal that the PS algorithm performed better for such model than a heuristic method like GA. The ordering quantity and reordering point were also lower in PS than GA. Overall, it was evident that PS is more suited for this problem. Supply chain managers need to employ appropriate inventory policies to deal with several uncertain conditions, for example, uncertainties arising due to the COVID-19 pandemic. This model can help managers establish and redesign an inventory policy to maximize the profit by considering probable disruptions in the supply chain network.

2025, Procedia Economics and Finance

The concept of supply chain management (SCM) is receiving greater attention among academicians and organizations and thus it is viewed as a potential source of bottom and top-line growth. Despite the potential for improving organizational performance through supply chain activities, little scholarly evidence exists in management literature to establish an association between organizational factors and SCM performance outcomes. Businesses that are seeking to achieve competitive advantage are forced to compete beyond the firm level to the supply chain level. As a supply chain competes with other supply chains, businesses would see that supply chains that are flexible will outperform those that are less agile in an increasingly uncertain environment. What it means is that, supply chain flexibility has emerged as an important management strategy to achieve competitive advantage and so businesses now have to look into improving their supply chain management practices to become flexible and responsive to an unpredictable environment and to cope with changing customers' requirements.

2025, Prabhakar Vagvala

An Outside of the healthcare industry, commercially available artificial intelligence (AI) algorithms have shown signs of racial, gender, and societal prejudice. The development of AI algorithms in the fields of radiologic sciences and healthcare is significantly impacted by these biases. The physician community should work with developers and regulators to create paths that guarantee algorithms sold for widespread clinical practice are secure, efficient, and free of unintended bias in order to prevent the introduction of bias in healthcare AI. Structured AI use cases with data elements have been developed by the ACR Data Science Institute to make it easier to create standardized datasets for AI testing and training at various universities. This project seeks to encourage the accessibility of a variety of data for algorithm development. Additionally, ACR Certify-AI and ACR Assess-AI, validation and monitoring services offered by the ACR Data Science Institute, integrate guidelines for minimizing algorithm bias and advancing health fairness. The ACR should support pricing methods for AI that guarantee access to AI technologies for all patients, regardless of their socioeconomic level or the resources available within their healthcare systems, in addition to promoting diversity. The ACR Data Science Institute conducted its first annual survey of ACR members to better understand how artificial intelligence (AI) is used in clinical practice and to create a baseline for tracking trends. Participants were asked to answer questions about their practice's demographics and to say whether or not they presently use AI in their clinical work, as well as in what capacity. AI has started to be used in mammography screening procedures. According to the report, larger practices were more likely to use AI than smaller ones. The majority of individuals who used AI in clinical practice did so to improve interpretation; the most frequent uses were for the early detection of cerebral hemorrhage, pulmonary emboli, and abnormalities in mammograms. According to the survey results, clinical practice has just recently begun to incorporate AI at a moderate rate. The data acquired from the poll will help researchers and business experts create AI solutions that can improve radiological practice, resulting in enhancements to the effectiveness and quality of patient care.

2025

Private and public organisations are increasingly using their purchasing power to mitigate societal issues and create social value. This is called social procurement. Due to problems such as segregation, unemployment, and social exclusion, social procurement in Sweden has focused on employment requirements. This is a type of criterion within social procurement that is used to create employment opportunities for marginalised long-term unemployed people, such as immigrants, youths and/or people with disabilities. These target groups often live in segregated neighbourhoods in run-down housing. This situation has led organisations in the Swedish construction and real estate sector to implement employment requirements in the procurement of their building and refurbishment projects and also in the facilities maintenance of the buildings, often hiring their own tenants. By hiring unemployed people to work with refurbishing their run-down housing, and supplying more labour to the constructi...

2025, Malindang. Draft Final …

With the participation of Subanens as local researchers, an assessment of plant diversity in two 1-ha semipermanent plots located in Mt. Ginanlajan and Palo 6, Malindang Range was conducted. The assessment revealed 301 species, 181 genera, and 113 families. The scientific identification of plants was enriched by local indigenous knowledge. A complete inventory of trees showed high species richness (63-67 species/ha) and high tree density (961-1,000 trees/ha). These figures are higher than those reported for lowland and montane forests in Mt. Kitanglad and other neotropical countries. Assessing floral resources also revealed 2 endangered species, 71 endemic species, 11 rare and 171 economically important species, and 10 species that are socioculturally important based on the indigenous knowledge of local researchers, and 79 species as surveyed from the communities. Endemism is high with 48 (57%) of the 85 tree species endemic. Three new species of mosses not yet found in the Philippines were discovered. When the number of species between primary and secondary forests was compared, more species were found in the primary forest than in the secondary forest, but there were more individuals of similar species in the secondary forest than in the primary forest. Moreover, an ethnobotanical survey based on the indigenous knowledge of local researchers has shown many economically important plants, of which 39 species are medicinal, 14 species are food plants, 18 species

2025, International Journal of Managing Value and Supply Chains

Triple Bottom Line (3 BL) Sustainability has been expressed as a tool in the hands of policy makers to achieve competitive advantage. Closed-Loop Supply Chain (CLSC) conceptualizes the design, control, and operation of the supply chain systems to recover the value from the product even after their useful life through the processes of reuse and recycle. Efficient management of CLSC operations in metal recycling industry will enhance 3BL sustainability. The present study investigates and shortlists critical sustainability factors in metal recycling CLSC operations. The study applies Analytic Hierarchy Process (AHP) to identify the most important factors and Principal Component Analysis (PCA) techniques to check the reliability and validity of these factors through statistical analysis. The study identifies five most important factors to achieve sustainability in metal recycling CLSC. Although the article is focused on the Indian metal recycling industry but factors can be relevant for researchers in other developing countries, where similar economic, social and environmental conditions exist.

2025, The Journal of Contemporary Issues in Business and Government

Globalization affects the changes in business in an area. China's regulation in forbidding the import of recycled paper affects many paper manufacturers almost in the whole of South-East Asia. Paper manufacturer overgrew in East Java in 2017. As the demand grew fast, the Indonesian government revised an old regulation that limits the usage of woods in the paper industry. Because of the disruption, the government take policy the risk that the paper manufacturer's owner must face just got bigger. This research aimed to identify how big supply chain risk management can affect supply chain performance through supply chain integration and information quality. The data was gathered from the paper manufacturing industry using a questionnaire. Thirty questionnaires were received from 40 questionnaires that were sent (response rate of 75 %.). Only a few samples were used because there were only 46 paper manufacturers categorized as the middle and large industry with a total worker of...

2025, Organization Development Journal

The paper investigates how perseverance, innovativeness, and retrenchment crisis response strategies influence supply chain disruptions among manufacturing firms in Ghana during outbreak of pandemics, with emphasis on the COVID-19 pandemic. The study adopts the Partial Least Squares Structural Equation Modeling (PLS-SEM) to analyse 324 manufacturing firms and test the hypothesized relationships. Using the resilience and contingency theories, the study provides strong and significant understanding of the constructs. The findings revealed that while innovation strategies significantly reduce disruptions during pandemics, perseverance strategies show no statistically significant effect on pandemic reduction. Regarding retrenchment strategies, the study found that it reduces disruptions indirectly through existing contingency plans. The study reinforces the argument that resilience is not built on perseverance alone but through adaptive capabilities that enable firms to respond dynamically to emerging threats. The paper underscores the critical role of innovation in cushioning firms from external shocks, particularly in resource-constrained environments like Ghana. It further establishes that retrenchment must be embedded within a broader strategic planning framework to be effective, cautioning against the indiscriminate use of cost-reduction strategies. Based on the findings, it is recommended that manufacturing firms in Ghana and similar contexts prioritize investment in innovation and develop flexible operational models that can be adjusted swiftly in times of crisis. Firms should move away from reliance on static resilience strategies and build systems that support continuous learning, experimentation, and agility. These findings contribute to the growing body of knowledge on pandemic resilience by offering context-specific insights from an emerging economy's perspective.

2025, International Journal of Sciences: Basic and Applied Research

Since the issuance of the Law on the Warehouse Receipt System (WRS) in 2009, the application of WRS has not been optimally successful. Several obstacles and constraints have been identified in the implementation of WRS in Indonesia. This research was conducted through a desk study and survey approach about analysis information of several constrains on the application of WRS for seaweed commodity. Constraints on the application of WRS for seaweed commodity became the focus of this study. The constraints faced by farmers are the lack of access to information about the seaweed WRS, financing constraints due to the financial attachment to middlemen, and the quality that does not meet Indonesian National Standard (SNI) of seaweed. While the constraints faced by the warehouse manager are the time to conduct quality testing and the time for disbursing funds from bank or non-bank financial institutions. Implementation of WRS can be increased by expanding WRS information and communication to...

2025, Suresh Pandipati

Business intelligence (BI) reporting is essential for organizations that want to make data-driven decisions by collecting, processing, and visualizing critical business metrics. At one of the Manufacturing Company, BI reporting has been implemented to improve operational efficiency, strengthen customer relationship management (CRM), and assist in strategic planning. By using BI tools, the company can gain valuable insights into customer behavior, operational patterns, and financial performance, and implement informed and proactive business strategies. The research is of importance to Manufacturing Company in improving business intelligence (BI) reporting. As organizations continue to generate ever-increasing amounts of data, BI tools are essential for transforming raw data into meaningful insights. This study provides a comprehensive assessment of BI reporting systems that help organizations improve decision-making, increase operational efficiency, and maintain competitive advantage. By analyzing various BI tools and their performance indicators, this research emphasizes the importance of data accuracy, report generation speed, cost efficiency, and implementation efficiency in selecting the best solution. In addition, it examines how integrating BI with customer relationship management (CRM) systems can strengthen customer engagement and support business expansion. Alternative: SAP Business Objects, Microsoft Power BI, IBM Cognos Analytics, Tableau, Oracle BI. Evaluation Preference: Annual Maintenance Cost, Data Accuracy, Report Generation Speed, Implementation Time. The results indicate that SAP Business Objects achieved the highest rank, while Tableau had the lowest rank being attained. The value of the dataset for BI Reporting for Manufacturing Company, according to the VIKOR Method, SAP Business Objects achieves the highest ranking.