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INDONESIA
International Journal of Supply Chain Management
Published by ExcelingTech
ISSN : 20513771     EISSN : 20507399     DOI : -
Core Subject : Science, Social, Engineering,
Decision Sciences, Operations Research & Management Engineering Environmental Science Industrial & Manufacturing Engineering Transportation
International Journal of Supply Chain Management (IJSCM) is a peer-reviewed indexed journal, ISSN: 2050-7399 (Online), 2051-3771 (Print), that publishes original, high quality, supply chain management empirical research that will have a significant impact on SCM theory and practice. Manuscripts accepted for publication in IJSCM must have clear implications for Supply chain managers based on one or more of a variety of rigorous research methodologies. IJSCM also publishes insightful meta-analyses of the SCM literature, conceptual/theoretical studies with clear implications for practice, comments on past articles, studies concerning the SCM field itself, and other such matters relevant to SCM.
Arjuna Subject : -
Articles 2,561 Documents
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Sustainability Beyond Compliance: Exploring Technology`s Role in Driving Sustainability Across Supply Chains Peesapati, Sri Rama Yashaswi
International Journal of Supply Chain Management Vol 13, No 2 (2024): International Journal of Supply Chain Management (IJSCM)
Publisher : ExcelingTech

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59160/ijscm.v13i2.6237

Abstract

This paper discusses the growing importance of adopting sustainability in supply chains beyond compliance. This paper is based on a comprehensive examination of over 30 literary works to provide a thorough analysis of the subject matter. The study sheds light on the imperative of sustainability in supply chains considering environmental, social, and business efficiency aspects, as well as the influence of conscious consumers and investors. The objective of this paper is to delve into how emerging technologies can be utilized to solve the challenges in adopting Sustainability in Supply Chains. The discussion focuses on sustainability beyond compliance, and the role of technology. The findings highlight that the emerging digital technologies such as big data analytics, the Internet of Things (IoT), Block chain technology Artificial Intelligence (AI) offer promising avenues for companies to achieve sustainability in supply chains.
Integrating Technology in Hospital Supply Chain: Pathway to a Sustainable Healthcare Ecosystem Islam, Shaiful; Habib, Md. Mamun
International Journal of Supply Chain Management Vol 13, No 1 (2024): International Journal of Supply Chain Management (IJSCM)
Publisher : ExcelingTech

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59160/ijscm.v13i1.6223

Abstract

The importance of sustainable practices within hospital supply chains has never been more pronounced than in the contemporary healthcare landscape, particularly in the wake of global health challenges. This research paper extends the discourse on sustainable hospital supply chain management (SHSCM) by examining the role of Technology Supply Chain Applications (TSCAs) as a catalyst for Sustainable Societal Advancement (SSA). Drawing from a substantial sample size of 401 respondents and employing factor analysis via structural equation modeling (SEM), the study upholds methodological integrity and rigor. The paper unveils a novel perspective on how TSCAs can revolutionize SHSCM by promoting efficiency, transparency, and collaboration, which are crucial for societal progression in the post-pandemic era. The findings affirm both hypotheses, with the data revealing a significant positive relationship between TSCAs and SHSCM, and between CIF-infused SHSCM and SSA. The implications of these relationships are manifold, indicating that the integration of technology within hospital supply chains is not merely a facilitator of internal process improvements but also a strategic contributor to societal well-being. The paper also navigates through the complexities of implementing TSCAs in SHSCM, presenting a balanced viewpoint by considering the limitations, such as the study's geographical and demographic specificity, which may affect the generalizability of the results. Beyond confirming the positive impact of TSCAs on SHSCM and SSA, the research offers actionable insights for healthcare practitioners and policymakers. It emphasizes the need for strategic investments in technology to enhance the resilience and sustainability of hospital supply chains. The study concludes by advocating for a concerted effort towards embedding technology at the core of hospital supply chains. This strategic pivot is crucial not only for the recovery of healthcare systems but also for laying the foundation for a more sustainable and socially responsible future. It highlights the need for a comprehensive and collaborative approach that leverages technology to overcome current challenges and drive forward the agenda of sustainable development within healthcare and beyond. Through this research, a compelling case is made for the strategic enhancement of technology within hospital supply chains as a means to foster societal advancement, providing a blueprint for future research endeavors aimed at bolstering the global healthcare landscape.
Integrating Forecasting & Planning Management for Sustainable Hospital Supply Chains and Societal Advancement Islam, Shaiful; Habib, Md. Mamun
International Journal of Supply Chain Management Vol 13, No 4 (2024): International Journal of Supply Chain Management (IJSCM)
Publisher : ExcelingTech

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59160/ijscm.v13i4.6263

Abstract

This research investigates the critical interplay between Forecasting Planning Management (FPM) and Sustainable Hospital Supply Chain Management (SHSCM), exploring their collective impact on Sustainable Societal Advancement (SSA). Anchored on a sample size of 401, the study employs IBM SPSS for factor analysis and IBM AMOS for structural equation modeling, ensuring the reliability and validity of the results. Two hypotheses form the backbone of this research: Firstly, the study hypothesizes a significant relationship between FPM and SHSCM. Secondly, it posits a consequential link between SHSCM, invigorated by Collaborative Information Flow (CIF), and SSA. Both hypotheses are substantiated with robust empirical evidence, indicating positive impacts. The research unravels the pivotal role of FPM in enhancing hospital supply chain sustainability, highlighting its significant influence on SHSCM. This relationship is vital for efficient resource allocation, cost efficiency, and overall sustainability in hospital operations. The study further delves into the transformative effect of SHSCM on broader societal well-being, emphasizing its substantial positive influence on SSA. The findings suggest that sustainable practices within hospital supply chains extend beyond immediate healthcare benefits to broader societal and environmental impacts, contributing to economic stability, environmental conservation, and enhanced public health. Methodologically, the study adopts a comprehensive approach, utilizing factor analysis to validate the reliability of survey responses and structural equation modeling to assess the interrelations among FPM, SHSCM, and SSA. The research's adherence to established validity and reliability criteria is evident in the satisfactory factor loading scores, the KMO measure, and Cronbach's alpha coefficients. While affirming the proposed hypotheses, the study also acknowledges its limitations, particularly its focus on the hospital sector in Bangladesh, which may affect the generalizability of the findings. Furthermore, the cross-sectional nature of data collection points to the potential for longitudinal studies to better comprehend the temporal dynamics of these relationships. The study concludes with a call for future research to broaden the geographic scope and incorporate diverse healthcare settings, thus enriching the global understanding of these dynamics. Additionally, it suggests exploring the integration of digital innovations in FPM and SHSCM to further optimize supply chain processes and enhance sustainability. Overall, this research contributes significantly to the field of sustainable healthcare management, offering empirical evidence on the importance of forecasting and planning in healthcare supply chains and their broader societal implications. It paves the way for healthcare practitioners, policymakers, and researchers to foster sustainable practices in hospital supply chains, ultimately aiming for societal well-being and global health advancements.
Rethinking Global Supply Chain Management in a Changing Environment to Develop an Integrated Freight Transportation System in Bangladesh Sabur, H M Abdus
International Journal of Supply Chain Management Vol 12, No 6 (2023): International Journal of Supply Chain Management (IJSCM)
Publisher : ExcelingTech

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59160/ijscm.v12i6.6217

Abstract

Global supply chain management has been a critical aspect of the international business community for decades. With the rapid growth of globalization, companies have been expanding their businesses to different parts of the world, establishing cross-border partnerships and operations, and relying on global trade for their success. In recent years, the environment in which these supply chains operate has undergone significant changes. The COVID-19 pandemic, changes in government policies, and fluctuations in global trade and investment have created a more complex and challenging landscape for companies to manage their supply chains effectively. This has resulted in a need for companies to rethink their supply chain strategies, especially in developing countries such as Bangladesh. The study employs qualitative research methodology to develop an integrated freight transportation system in Bangladesh just after the changing environment of supply chain management due to COVID-19, geopolitics, and other negative impacts that brought supply chain risks/disruptions in the global freight movement from/to Bangladesh through Bangladeshi seaports. The findings of the research brought the transportation disruptions that lead to problems like operation shutdown, lost sales, late deliveries, and reputation loss remarkably. River transport emerges as the overwhelmingly preferred mode, presenting a substantial 60% of the respondents' choices whereas rail mode is only 30% but rail offers advantages in terms of efficiency and cost-effectiveness to make it a strong candidate for transporting goods Furthermore, 41.58% of respondents expressed the view that COVID-19 has significantly disrupted various activities, including the global supply chain and shipping trade. The purpose of this research is to provide a comprehensive analysis of the current state of global supply chain management in Bangladesh and to identify ways to enhance the country's integrated freight transportation system. This research will examine the existing infrastructure, policies, and practices, and suggest mechanisms for improving the efficiency and competitiveness of the supply chain in Bangladesh.
Impact of Geopolitical Risk on the Maritime Supply Chain: A Regional Analysis of the Effects on Global Trade Dawar, Ashraf; Bai, Yang
International Journal of Supply Chain Management Vol 13, No 3 (2024): International Journal of Supply Chain Management (IJSCM)
Publisher : ExcelingTech

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59160/ijscm.v13i3.6245

Abstract

Geopolitical risks have a substantial impact on the disruption of maritime supply chains, leading to economic, logistical, and security challenges. This study scrutinizes the multifaceted relationship between geopolitical risks and disruptions in maritime supply chains, with a concentration key influences and their consequences. The research syndicates case studies, data analysis, and current affairs, to provide a comprehensive examination of the matter. The findings highlight that geopolitical risks, such as political instability, conflicts, terrorism, and trade disputes, can disrupt maritime supply chains in numerous ways. These disruptions can be apparent as port closures, commotions like shipping routes, increased insurance expenses, and heightened security dealings. Such disruptions have extensive significance including amplified costs, abridged reliability, supply chain blockages, and a negative influence on international trade streams. The novelty of the study is that it takes a regional approach, inspecting how geopolitical risk influences the maritime supply chain in different geographical areas. This provides a more nuanced and universal understanding of the matter, beyond just a state perspective.
Evaluating Supply Chain Performance through Financial Metrics: A Study in a Manufacturing Industry Saleheen, Ferdoush; Habib, Md. Mamun
International Journal of Supply Chain Management Vol 13, No 2 (2024): International Journal of Supply Chain Management (IJSCM)
Publisher : ExcelingTech

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59160/ijscm.v13i2.6240

Abstract

This empirical study is based on primary data emphasizing the importance of evaluating supply chain performance through financial metrics, each activity within the supply chain directly impacts both the top line and bottom line of a business. In today's challenging business environment, organizations must prioritize monitoring their financial performance to ensure enduring resilience. The economy of Bangladesh has encountered turbulence due to disruptions such as the aftermath of the COVID-19 pandemic and the ongoing global political unrest. These occurrences have significantly impacted the business landscape, resulting in uncertainties in both demand and supply, shifts in consumer purchasing patterns, and notable increases in the prices of essential commodities and raw materials, therefore, the overall cost of business has risen. This study investigates the consequences of various disruptions, both internal and external, on the economy, adversely affecting organizations. The ability of an organization to withstand such challenges depends on maintaining robust financial and operational performance. Given the persistent global upheaval, there is a compelling need for an innovative approach to enhance supply chain optimizations, overall operational efficiency, and meticulous budget control and variance analysis aligned with financial planning. This is crucial at a substantial level to ensure positive entries in the profit and loss account and maintain a healthy cash flow statement. This study is done based on twenty-four (24) manufacturing sectors of Bangladesh. To address these challenges, the study advocates an Integrated Supply Chain Performance Measurement (ISCPM) model. This model contributes to academia through a novel approach, demonstrating its effectiveness by employing ten attributes to evaluate supply chain performance, with a specific focus on the financial performance termed Financial Health (FH), an attribute to measure supply chain performance in an organization. The study further elaborates Financial Health attributes into five key Performance Measurement Index (PMI) which are Economic Performance, Cost, Budget Variance, Inventory, and Planning Variance —within the context of manufacturing operations, providing insights into various facets of their impact. The study significantly contributes to the industry for practitioners by bringing synergy into the framework and performance measurement attributes, ultimately adding value to the manufacturing industry.
Using Dynamic Stability Strategy to Counteract Rapid Changing Demand Considering Deterioration and Partial Backordering Yu, J.C.P.; Lin, X. B.; Chen, J.M.
International Journal of Supply Chain Management Vol 13, No 4 (2024): International Journal of Supply Chain Management (IJSCM)
Publisher : ExcelingTech

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59160/ijscm.v13i4.6257

Abstract

In a real business world, the production plan must respond to quick changing market and keep production line stable. An optimal stepwise production strategy is derived with stable production rate for some period, and then changing to another stable production rate to response market change for the next period. The cost factors we considered in the model include the production setup cost, the production-variation cost, the carrying cost, the deteriorating cost, the backordering and the lost sale shortage cost. For demand that changes linearly or exponentially with time, an inventory model with partial backordering is developed. Finally, sensitivity analysis is carried out to investigate how changing parameters affect this system.
Implementing A Scorecard Scale in a Service Company: Case of a Moroccan Service Company Farissi, Aicha; Jordan, Yeno Wora Lee
International Journal of Supply Chain Management Vol 13, No 1 (2024): International Journal of Supply Chain Management (IJSCM)
Publisher : ExcelingTech

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59160/ijscm.v13i1.6224

Abstract

This article focuses on the implementation of a Balanced Scorecard in a service company, examining its potential impact on performance improvement. Delving into the theoretical foundations of business performance management and the Balanced Scorecard, the first part of the work provides a comprehensive understanding of its implementation approach. The practical section offers insights into the company's situation through a post- implementation SWOT analysis, shedding light on the tangible outcomes of adopting a Prospective Dashboard. This exploration contributes valuable perspectives to the ongoing discourse on management practices in the face of dynamic global challenges.
Enhancing Road-Based Supply Chain Efficiency in the US: Integrating AI/ML-Based C3I Systems with IoT-Enabled Trucks Singh, Sukhdeep
International Journal of Supply Chain Management Vol 13, No 4 (2024): International Journal of Supply Chain Management (IJSCM)
Publisher : ExcelingTech

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59160/ijscm.v13i4.6253

Abstract

This paper explores the integration of AI/ML- based C3I systems with IoT-enabled trucks to enhance the efficiency of road-based supply chains in the US. By examining the components and benefits of these technologies, as well as their implementation strategies and real-world applications, this paper provides a comprehensive overview of how these advancements can transform supply chain logistics. The author has been at the forefront of crafting an IoT sensor-based Fleet and Transportation Management System for one of the top 10 telematics companies. It utilizes AI and ML to provide strategic and operational insights within a logistics environment for the complete paradigm ranging from SMB to enterprise level companies. The discussion covers operational benefits such as reduced downtime and optimized routing, and strategic advantages including improved decision-making and increased resilience against disruptions. Ultimately, the goal is to highlight how these innovations can drive significant improvements in the performance and reliability of road-based supply chains, leading to lower costs and better profits.
Digital Transformation in Supply Chain Management: Artificial Intelligence (AI) and Machine Learning (ML) as Catalysts for Value Creation Singh, Pratyush Kumar
International Journal of Supply Chain Management Vol 12, No 6 (2023): International Journal of Supply Chain Management (IJSCM)
Publisher : ExcelingTech

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59160/ijscm.v12i6.6216

Abstract

In the rapidly evolving landscape of supply chain management (SCM), digital transformation has become a cornerstone for achieving competitive advantage. This paper explores the pivotal role of Artificial Intelligence (AI) and Machine Learning (ML) as catalysts in this transformation, driving significant value creation across various facets of SCM. Through a comprehensive literature review, including an analysis of 12 key papers, this study examines the integration of AI and ML in enhancing supply chain operations, from predictive analytics in demand forecasting to real-time decision-making in logistics and inventory management. The findings highlight the transformative impact of these technologies in optimizing efficiency, reducing costs, and improving overall supply chain resilience. The paper also addresses the challenges and ethical considerations inherent in implementing AI and ML, such as data privacy and workforce implications. Concluding with a look towards the future, this study underscores the growing importance of AI and ML in shaping the next generation of SCM practices. This research not only contributes to the academic discourse on digital supply chain transformation but also offers practical insights for industry professionals navigating this digital shift.

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