Dynamic Supply Chain Research Articles

Working Capital Management in Different Sector

Effective working capital management is crucial for the financial health and sustainability of businesses across industries. This research paper aims to investigate and compare the working capital management practices adopted by companies in different sectors. The study employs a mixed-methods approach, combining quantitative analysis of financial data with qualitative insights gathered through interviews with industry experts. The research analyzes the working capital management performance of companies operating in various sectors, including manufacturing, retail, technology, and services. Key metrics such as liquidity ratios, inventory turnover, receivables collection period, and payables deferral period are evaluated to assess the efficiency and effectiveness of working capital management strategies employed by firms in each industry. Furthermore, the paper examines the impact of industry-specific factors such as demand volatility, supply chain dynamics, technological advancements, and regulatory environments on working capital management practices. By comparing and contrasting the findings across different industries, this study provides valuable insights into the factors influencing working capital management decisions and identifies best practices that can be adapted by companies to optimize their working capital efficiency and enhance overall financial performance. The research contributes to the existing literature by offering a comprehensive analysis of working capital management practices across diverse industries, highlighting industry-specific challenges and opportunities. The findings of this study have practical implications for managers, investors, and policymakers seeking to improve working capital management strategies and enhance the competitiveness and resilience of businesses in today's dynamic economic landscape.

Optimising Inventory Management Strategies for Cost Reduction in Supply Chains: A Systematic Review

This systematic review investigates and synthesises the complexities of optimising inventory management strategies for cost reduction in supply chains. The research utilised a systematic review methodology to comprehensively analyse inventory management strategies for cost reduction in supply chains, employing key search terms across databases such as PubMed, Scopus, and IEEE Xplore. A total of 50 journals were initially identified, followed by a rigorous screening process based on pre-defined criteria, including 23 relevant published articles written in English. Examining global supply chain dynamics and sector-specific challenges in local inventory management, the review proposes three key strategies: Just-in-Time (JIT) and lean inventory practices, advanced analytics and predictive modelling, and collaborative supply chain partnerships. Drawing on empirical evidence and sector-specific examples, the review demonstrates the effectiveness of these strategies in mitigating costs and enhancing overall supply chain efficiency. The policy implications underscore aligning business practices with proposed strategies, offering policymakers insights for formulating guidelines and incentives. Contributions to knowledge include a comprehensive framework for businesses to navigate contemporary supply chain challenges. At the same time, suggestions for further studies advocate for deeper explorations into emerging technologies and regional variations to refine and expand inventory management strategies.

The use of AI to uncover the supply chain dynamics of the primary sector: Building resilience in the food supply chain

Despite the fact that artificial intelligence (AI) techniques are increasingly influencing economic and societal dynamics, certain aspects of AI's role in structural change, such as enhancing the resilience of supply chains, have not been thoroughly explored in academic research. Thus, we first identify thirteen variables that are influential in shaping the structural transformation of food supply chains. These variables are chosen based on the financial, technological, social, and organizational challenges to building resilience within the food supply chain. Then, we generate an interval-valued T-spherical fuzzy Combined Compromise Solution (CoCoSo)'B model to uncover the role of AI in the supply chain dynamics and structural change of the food sector. After that, we explore the role of AI in alleviating the factors in building resilience within the food supply chain through the generated decision model and expert interview. The result also reveals that the AI advantageAd2“Enhancing information sharing among nodes” (1.983) has the most potential to influence organizational adoption behavior. The outcomes of the present study can provide a new decision-support technique for uncovering the effects of AI on supply chain dynamics and structural change in the food sector.

SmartDED: A Blockchain- and Smart Contract-Based Digital Electronic Detonator Safety Supervision System

Digital electronic detonators, as a civil explosive, are of prime importance for people’s life and property safety in the process of production and operation. Therefore, the Ministry of Industry and Information Technology and the Ministry of Public Security of the People’s Republic of China have extremely high requirements for their essential safety. Existing schemes are vulnerable to tampering and single points of failure, which makes tracing unqualified digital electronic detonators difficult and identifying the responsibility for digital electronic detonator accidents hard. This paper presents a digital electronic detonator safety supervision system based on a consortium blockchain. To achieve dynamic supply chain supervision, we propose a novel digital electronic detonator supervision model together with three codes in one. We also propose a blockchain-based system that employs smart contracts to achieve efficient traceability and ensure security. We implemented the proposed model using a consortium blockchain platform and provide the cost. The evaluation results validate that the proposed system is efficient.

Controlling the unpredictable: bifurcation and backstepping strategies in supply chain dynamics

Controlling the unpredictable: bifurcation and backstepping strategies in supply chain dynamics

Synergy Flow: Nexus of Supply Chain Dynamics

Abstract: In this case, Synergy Flow revolutionizes the way supply chains are managed by fusing collaboration with innovation. Essentially, it aims at questioning traditional ways of doing things in order to lead a new era of perfection through optimized operations and unmatched efficiency. Rather, this move is more than just a project but one that is actually changing industry landscapes and taking Supply Chain Management into the unknown. See directly the impact that Synergy Flow can have by following the progression of excellence with each step forward. This initiative however goes beyond re-imagining supply chain dynamics to represent a commitment to setting new industry benchmarks in every improvement towards unmatchable efficiency. Therefore, Synergy Flow sets revolutionary standards that will define future for collaborative excellence in supply chain management.

The Path from Green Innovation to Supply Chain Resilience: Do Structural and Dynamic Supply Chain Complexity Matter?

At the heart of supply chain innovation lies the challenge of complexity, a pivotal force shaping the pathways to resilience and sustainable success in today’s business environment. Drawing from the resource-based view, dynamic capabilities, and contingency theories, this study examines the impact of green innovation strategies on supply chain resilience through the mediation role of green logistics management practices and the moderation effects of dynamic and structural supply chain complexity. Leveraging a quantitative approach, this study surveyed 404 managers from manufacturing firms in Turkey using a combination of physical and electronic questionnaires. Our analysis robustly supports the interconnected roles of green innovation strategy and logistics management practices in bolstering supply chain resilience. A green innovation strategy significantly enhances green logistics management practices and supply chain resilience. Further, green logistics practices contribute positively to supply chain resilience, acting as a crucial mediator in translating green innovation strategies into heightened supply chain resilience. Additionally, the effectiveness of green innovation strategies in improving green logistics management practices is amplified in less structurally complex supply chains. In contrast, the impact of green logistics practices on supply chain resilience becomes more pronounced in environments with lower dynamic complexity, highlighting the nuanced influence of supply chain complexity on sustainability efforts. The study’s findings contribute a novel perspective to the sustainability discourse, emphasizing complexity’s nuanced role as a determinant of supply chain resilience.

Optimizing Bio-energy Supply Chain to Achieve Alternative Energy Targets

In response to global warming and the dwindling reservoirs of fossil fuels, Thailand has increasingly embraced alternative energy sources. Central to its energy development strategy is the Alternative Energy Development Plan (AEDP), which aims to reduce energy intensity, capitalize on residual resources, and mitigate greenhouse gas emissions. While significant strides have been made in meeting various consumption targets set forth by the AEDP, notable challenges persist, particularly in the realms of bio-mass-derived electricity generation, bio-gas utilization, and bio-ethanol production from bio-mass. Therefore, this study delves into the factors contributing to the shortfall in achieving AEDP targets and proposes strategies to enhance the efficiency of the bio-energy supply chain. Leveraging mathematical and linear programming techniques, our research optimizes the supply chain dynamics, accounting for monthly supplier profiles spanning 77 provinces, 17 distinct biomasses, and 427 bio-energy plants equipped with diverse energy conversion technologies. Our findings indicate that Thailand currently boasts adequate bio-mass resources to fulfill the electricity and bio-ethanol targets outlined in the AEDP—provided enhancements are made to supply chain efficiency. To fully realize the objectives of the AEDP, we recommend augmenting bio-mass cultivation efforts and implementing new power plant installations. Additionally, we advocate for the consideration of high-methane content fuels, such as solid waste, as a means to alleviate bio-mass demand. This study underscores the paramount importance of strategic planning and optimization in propelling Thailand towards its alternative energy ambitions while surmounting supply chain impediments.

Novel AI-Powered Dynamic Inventory Management Algorithm in the USA: Machine Learning Dimension

Dynamic inventory management revolves around the practice of progressively modifying inventory degrees to adapt to fluctuations in client demand, production, and supply chain dynamics. At the center, inventory management focuses on upholding enhanced levels of stock to balance consumer service via availability with the costs related to holding excess inventory. This research paper aimed to explore the dynamic inventory management activities employed by organizations in the USA, shedding light on the machine learning strategies that can be deployed and their implications. The performance of the algorithms was empirically evaluated in a Python program experiment utilizing real-world data. To facilitate the data for input into the Neural Network, feature engineering, and selection were imposed to affirm its suitability. This study proposes the Sequence-to-Sequence (Seq2Quant) algorithm, a neural network-powered technique for demand prediction in inventory management. The current experiment compared and contrasted the performance of the Neural Networks against the following baselines, most notably, Naïve Seasonal Forecast, Moving Average Forecast, ARIMA, Naïve Seasonal Forecast with Averaging over four periods, SARIMAX. From the experiment, it was evident that the Seq2Seq had the lowest MAE (17.44) and the lowest SMAPE (66.91), suggesting that it was the best-performing algorithm overall. Besides, SARIMAX and ARIMAX also performed well, with MAE values of 18.33 and 18.09, respectively.

ECONOMIC THEORY AND PRACTICAL IMPACTS OF DIGITAL TRANSFORMATION IN SUPPLY CHAIN OPTIMIZATION

Digital transformation has emerged as a critical driver of innovation and efficiency in supply chain management, reshaping traditional economic paradigms and yielding profound practical implications. This paper delves into the economic theory underpinning digital transformation in supply chain optimization and explores its practical impacts on businesses and industries. In terms of economic theory, we examine the evolution from traditional supply chain models to digitally-enabled ecosystems. The integration of digital technologies such as big data analytics, artificial intelligence, and blockchain revolutionizes supply chain dynamics, enhancing efficiency, reducing costs, and mitigating risks. Drawing on game theory applications, we elucidate strategic interactions among supply chain stakeholders and the implications of digital transformation on their decision-making processes. Turning to practical impacts, we investigate how digital transformation enables enhanced visibility, real-time tracking, and predictive analytics, fostering agility and responsiveness in supply chain operations. Automation and AI-driven insights empower decision-makers to optimize resource allocation and mitigate disruptions effectively. Through case studies, we illustrate the tangible benefits and strategic advantages accrued by organizations embracing digital transformation. However, this transformation is not devoid of challenges. Cybersecurity threats, data privacy concerns, and the integration complexities of legacy systems pose significant hurdles. Addressing these challenges necessitates a holistic approach encompassing technological innovation, regulatory frameworks, and workforce development. Looking ahead, future trends such as blockchain integration, IoT applications, and sustainability initiatives promise further advancements in supply chain optimization. This paper underscores the imperative for ongoing research and adaptation to harness the full potential of digital transformation in reshaping the future of supply chain management. Keywords: Economic Theory, Practical Impacts, Digital Transformation, Supply Chain Optimization.

Administration of Drugs for Pharmacotherapy of Tuberculosis According to GSP Requirements

This research paper outlines the findings from a comprehensive investigation focused on the dispensation and management of antituberculosis medications in pharmaceutical practices. The examination of antituberculosis medications was conducted using various classification systems, including ATC codes, clinical and pharmacological, classification and legal, nomenclature and legal groups. The study provides a detailed analysis of the harmonization process for GxP standards within Ukraine, offering a thorough understanding of the current practices. Additionally, the research looks into the supply chain dynamics of antituberculosis medication distribution. Developed within the study are strategic guidelines for the proper storage of these medications, essential for maintaining their efficacy and safety. A systematic proposal for the spatial organization of storage facilities in the wholesale sector is presented, ensuring compliance with GSP. The study’s goal was to refine the methodologies involved in the storage and management of antituberculosis drugs, with the ultimate aim of enhancing the efficiency of tuberculosis treatment protocols. This, in turn, is expected to elevate the caliber of healthcare delivery and pharmaceutical care available to patients afflicted with tuberculosis. Expanding on the study's contributions, the paper highlights the implications of these findings for public health policy and the potential to streamline pharmaceutical organization. By drawing attention to the criticality of adherence to rigorous storage protocols, the research underscores the necessity of meticulous oversight in the pharmaceutical supply chain. The insights gained from the study are not only pivotal for healthcare providers but also for policymakers tasked with the mandate of curbing the tuberculosis epidemic. The proposed recommendations provide a scaffold for future enhancements in drug management practices.

Obstetric Emergency Supply Chain Dynamics and Information Flow Among Obstetric Emergency Supply Chain Employees: Key Informant Interview Study.

For the past several decades, the Ethiopian Ministry of Health has worked to decrease the maternal mortality ratio (MMR)-the number of pregnant women dying per 100,000 live births. However, with the most recently reported MMR of 267, Ethiopia still ranks high in the MMR globally and needs additional interventions to lower the MMR to achieve the sustainable development goal of 70. One factor contributing to the current MMR is the frequent stockouts of critical medications and supplies needed to treat obstetric emergencies. This study describes the obstetric emergency supply chain (OESC) dynamics and information flow in Amhara, Ethiopia, as a crucial first step in closing stockouts and gaps in supply availability. Applying qualitative descriptive methodology, the research team performed 17 semistructured interviews with employees of the OESC at the federal, regional, and facility level to describe and gain an understanding of the system in the region, communication flow, and current barriers and facilitators to consistent emergency supply availability. The team performed inductive and deductive analysis and used the "Sociotechnical Model for Studying Health Information Technology in Complex Adaptive Healthcare Systems" to guide the deductive portion. The interviews identified several locations within the OESC where barriers could be addressed to improve overall facility-level readiness, such as gaps in communication about supply needs and availability in health care facilities and regional supply hubs and a lack of data transparency at the facility level. Ordering supplies through the integrated pharmaceutical logistics system was a well-established process and a frequently noted strength. Furthermore, having inventory data in one place was a benefit to pharmacists and supply managers who would need to use the data to determine their historic consumption. The greatest concern related to the workflow and communication of the OESC was an inability to accurately forecast future supply needs. This is a critical issue because inaccurate forecasting can lead to undersupplying and stockouts or oversupplying and waste of medication due to expiration. As a result of these interviews, we gained a nuanced understanding of the information needs for various levels of the health system to maintain a consistent supply of obstetric emergency resources and ultimately increase maternal survival. This study's findings will inform future work to create customized strategies that increase supply availability in facilities and the region overall, specifically the development of electronic dashboards to increase data availability at the regional and facility levels. Without comprehensive and timely data about the OESC, facilities will continue to remain in the dark about their true readiness to manage basic obstetric emergencies, and the central Ethiopian Pharmaceutical Supply Service and regional hubs will not have the necessary information to provide essential emergency supplies prospectively before stockouts and maternal deaths occur.

Circular Economy and Contributions to Sustainable Development in the Organizational Context

Objective: To analyze the contributions of the circular economy to sustainable development in the organizational context. Methodology: The research used an integrative literature review to investigate the relationship between circular economy and sustainable development in organizations. The studies were selected based on relevant keywords in academic databases, focusing on Brazilian articles published between 2023 and 2024. After the selection, a qualitative analysis of the data was conducted to identify patterns and trends, contributing to a deeper understanding of the topic. Results and data analysis: The analysis of the studies highlights the importance of the circular economy in the contemporary organizational context, highlighting its relevance to promote sustainable development and mitigate negative impacts on the environment and society. The transition from the traditional linear model to the circular one redefines not only supply chain dynamics, but also challenges the culture of consumption and unrestricted disposal by promoting resource reuse, recycling and remanufacturing. However, its implementation requires operational changes and the support of organizational leaders, tax and legislative incentives, as well as greater awareness and dissemination of information about its practices and benefits. The need for more in-depth studies, especially in the Brazilian context, is highlighted, as is the importance of consumer education on sustainable packaging and the integration of reverse logistics practices. Such an approach not only promotes environmental sustainability, but can also generate significant economic benefits for businesses. The studies also highlight the adaptation of circular economy concepts to different sectors, such as textiles and clothing, highlighting their tangible benefits, such as reducing waste and creating sustainable business opportunities. However, the journey towards the circular economy faces challenges such as effective waste management and stakeholder awareness. Conclusion: Thus, the conclusions emphasize the need for continued engagement of businesses, governments and consumers to promote a successful transition. By adopting this approach, organizations contribute not only to the preservation of the environment and social well-being, but also to a more sustainable and economically prosperous future.

Evaluating carbon cap and trade policy effects on a multi-period bi-objective closed-loop supply chain in retail management under mixed uncertainty: Towards greener horizons

In response to the growing imperative of addressing environmental concerns and aligning with governmental regulations in supply chain management, this study navigates the optimization landscape of closed-loop supply chains through the lens of carbon cap and trade policy. The optimization model aims to account for the impact of consumer demands, distribution networks, and retail operations on the overall closed-loop supply chain dynamics. The innovative approach introduces an optimization model designed to grapple with the challenges posed by imprecise information within an intuitionistic type-2 fuzzy framework. The bi-objective mixed-integer model integrates pivotal objectives, including carbon emissions reduction, total cost minimization, and trade policy compliance. For a nuanced comprehension of the proposed model, we present three numerical examples, offering clarity on its complexities. Following this, a sensitivity analysis visually depicts the impact of fluctuations in demand and capacity on the defined objective functions. Furthermore, these conclusions unveil promising avenues for future research and exploration within the ambit of this study.

Manufacturers' vertical integration strategies in competing three‐tier supply chains with asymmetric customer loyalty

AbstractThis study investigates manufacturers' vertical integration strategies within two competing three‐tier supply chains, focusing on the dynamics of asymmetric supply chains. This asymmetry stems from varying customer loyalties toward two products engaged in pricing and quality competition. By characterizing the equilibrium operational decisions and integration choices, we provide insights into how asymmetric customer loyalty compares and price–quality competition collectively influence the equilibrium channel structure. Our findings highlight that the option for backward integration can lead to an asymmetric equilibrium channel structure, driven by disparities in customer loyalty. In cases marked by significant differences in customer loyalty and a high market demand for product quality, the manufacturer with weaker customer loyalty might unilaterally implement decentralization. This analysis illuminates scenarios where manufacturers diverge from conventional integration norms and offers valuable insights into evolving supply chain dynamics.

The Relationship between Supply Chain Resilience and Digital Supply Chain and the Impact on Sustainability: Supply Chain Dynamism as a Moderator

This research aims to explore the complex interplay between supply chain resilience (SCR), digital supply chain (DSC), and sustainability, focusing on the moderating influence of supply chain dynamism. The goal is to understand how these elements interact within the framework of contemporary supply chain management and how they collectively contribute to enhancing sustainability outcomes. The sample size is 300 CEOs and managers. The study approach integrates quantitative research methods. Structural equation modeling (SEM) is utilized to quantitatively analyze the direct and indirect effects of SCR and DSC on sustainability. The numerous surveys we conduct among supply chain ecosystem stakeholders provide a rich picture of practical implications and contextual nuances. In sum, our early findings generally support a positive relationship between SCR and sustainability in and of itself, declaring the need for more resilient supply networks for sustainability. We further find the beneficial impact of digital technologies in promoting sustainability via enhancing environmental control and controlling for efficiency in supply chains. We also offer evidence to show that supply chain dynamism compounds the positive logic between SCR and DSC and sustainability. As a final word, it must be noted that our work speaks to the burgeoning literature on supply chain dynamism as a moderator by examining the direct and contingent effects of SCR and DSC not only on performance but sustainability. By shedding light on the moderating role of dynamism, the study provides fresh insights into the multifaceted nature of supply chain management and sustainability practices. The study’s findings enhance theoretical understanding by elucidating the synergistic effects of SCR, DSC, and sustainability in dynamic supply chain settings. The study augments the existing theoretical frameworks by integrating the concepts of resilience, digitalization, and sustainability into a comprehensive model. Practical and economical, the research offers actionable guidance for organizations aiming to improve sustainability performance through resilient and digitally advanced supply chains. By acknowledging the role of supply chain dynamism, managers can tailor strategies to manage disruptions effectively and leverage digital innovations. Economically, adopting sustainable practices can result in cost savings and competitive advantages. The research emphasizes the importance of aligning supply chain strategies with sustainability goals to drive long-term value and societal impact.

The Influence of Supply Chain Integration, Agility, and Innovation on Company Performance

This research aims to determine and investigate the role of supply chain integration, agility, and innovation in the performance of Micro, Small, and Medium Enterprises (MSMEs) operating in the food and beverage sector. By optimizing these factors, companies can enhance the value and profitability generated across the supply chain, encompassing value addition from suppliers to manufacturers, manufacturers to distributors, and ultimately to consumers. This value is created from the service value and price of a finished product, with the total costs borne by the entire supply chain system. The study focuses on MSMEs in the Yogyakarta region, employing random sampling techniques to gather data from various stakeholders, including owners, managers, and operational staff. Questionnaire-based data collection is followed by Structural Equation Model (SEM) analysis using AMOS software. The results of this research indicate that integration, agility, and innovation have a positive effect on company performance, both in terms of financial performance and operational performance. This study contributes to the supply chain literature, specifically in the food and beverage industry, by expanding the understanding of supply chain dynamics. To enhance supply chain integration, managers can implement broader strategies and utilize information technology for better collaboration. To improve supply chain agility, the focus should be on developing flexibility and partnering with agile businesses. Supply chain innovation can be promoted through investments in technology and prioritizing innovation in products, processes, and business models.

WOA: Wombat Optimization Algorithm for Solving Supply Chain Optimization Problems

Supply Chain (SC) Optimization is a key activity in today’s industry with the goal of increasing operational efficiency, reducing costs, and improving customer satisfaction. Traditional optimization methods often struggle to effectively use resources while handling complex and dynamic Supply chain networks. This paper introduces a novel biomimetic metaheuristic algorithm called the Wombat Optimization Algorithm (WOA) for supply chain optimization. This algorithm replicates the natural behaviors observed in wombats living in the wild, particularly focusing on their foraging tactics and evasive maneuvers towards predators. The theory of WOA is described and then mathematically modeled in two phases: (i) exploration based on the simulation of wombat movements during foraging and trying to find food and (ii) exploitation based on simulating wombat movements when diving towards nearby tunnels to defend against its predators. The effectiveness of WOA in addressing optimization challenges is assessed by handling the CEC 2017 test suite across various problem dimensions, including 10, 30, 50, and 100. The findings of the optimization indicate that WOA demonstrates a strong ability to effectively manage exploration and exploitation, and maintains a balance between them throughout the search phase to deliver optimal solutions for optimization problems. A total of twelve well-known metaheuristic algorithms are called upon to test their performance against WOA in the optimization process. The outcomes of the simulations reveal that WOA outperforms the other algorithms, achieving superior results across most benchmark functions and securing the top ranking as the most efficient optimizer. Using a Wilcoxon rank sum test statistical analysis, it has been proven that WOA outperforms other algorithms significantly. WOA is put to the test with twenty-two constrained optimization problems from the CEC 2011 test suite and four engineering design problems to showcase its ability to solve real-world optimization problems. The results of the simulations demonstrate that WOA excels in real-world applications by delivering superior solutions and outperforming its competitors.

Market Analysis and Entry Strategy for German Investors in the Specialty Coffee Segment of the Colombian Coffee Industry

The primary purpose of this paper is to provide a comprehensive market analysis and develop a strategic entry plan for German investors interested in the specialty coffee segment of the Colombian coffee industry. Utilizing a qualitative research methodology, this paper delves into various facets of the market, including an examination of consumer preferences, an analysis of the competitive landscape, an evaluation of supply chain dynamics, and a review of the legal and regulatory environment. The research reveals that German investors have a significant opportunity to capitalize on the growing demand for specialty coffee in Germany by leveraging Colombia’s renowned reputation for producing high-quality coffee beans. However, achieving success in this venture necessitates a meticulous approach, including a strong emphasis on sustainability practices, efficient supply chain management, and strict adherence to local regulations. The paper culminates with a set of strategic recommendations, providing German investors with a roadmap to successfully enter and navigate the complex landscape of the Colombian specialty coffee market. These recommendations are designed to help investors align their strategies with market trends, mitigate potential risks, and seize the opportunities presented by this dynamic and evolving industry.

Accelerating Digital Supply Chain Management Practices, Customer Development, and Firm Performance: Organizational Culture Matters

Firms and suppliers are now using new digital technologies to make decisions for successful strategies. Firms are struggling with the supply chain dynamics needed to increase revenue and mitigate risk, and improve resilience after COVID-19. With the setting of strong competition and firms' business models shifting to digital transformation, this study examines the link between organizational culture (OC) and digital supply chain management practices (DSCMP) in generating a positive impact on firm performance (FP), including both direct and indirect influences via customer development (CD). Smart PLS 3.3.3 was used to analyze data from 326 respondents who registered as business managers who operate their supply chains using digital technologies. The findings indicated that DSCMP, CD, and OC had a favorable impact on FP, while DSCMP and OC had a beneficial impact on CD. It was also determined that DSCMP and CD played a mediating role in both of the above-mentioned associations. DSCMP and OC are two essential enablers for developing a firm’s customer base and improving performance efficiency in digital supply chains. Based on the Resource Dependence Theory (RDT), this study found that digitalization-related capabilities in supply chain management practices must be developed inside the company to improve the firm’s efficiency. Firm culture, accompanied by dominant characteristics, organizational leaders, organizational glue, and strategic emphasis should become essential components of DSCMP in organizations.