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International Journal of Supply Chain Management
Published by ExcelingTech
ISSN : 20513771     EISSN : 20507399     DOI : -
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
An Information Operational Model for Procurement Management in the Thai Supply Chain Artaphon Chansamut
International Journal of Supply Chain Management Vol 12, No 4 (2023): International Journal of Supply Chain Management (IJSCM)
Publisher : ExcelingTech

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59160/ijscm.v12i4.6139

Abstract

Research aimed to design and to assess an information operational model for procurement management in Thai supply chain. A samples are ten experts in the field of information. and supply chain. The data is analysed by means and standardized deviations. The research about an information operational model for procurement management in Thai supply chain consists of six elements namely main elements Suppliers , Producer, Finished goods and Customers. The assessment about an information operational model for procurement management in Thai supply chain using Black-Box technique. The research findings revealed that an information operational model for procurement management in Thai supply chain is appropriate at the high level which mean that This model can be develop information system.
A Study on Sustainable Hospital Supply Chain Management towards Societal Advancement in the Post-Pandemic Era Shaiful Islam; Md. Mamun Habib; Gazi Md Nurul Islam
International Journal of Supply Chain Management Vol 12, No 4 (2023): International Journal of Supply Chain Management (IJSCM)
Publisher : ExcelingTech

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59160/ijscm.v12i4.6201

Abstract

Abstract— This study delves into the intricate relationships between Hospital Infrastructure Development (HID), Collaboration Information Flow (CIF), Forecasting and Planning Management (FPM), Technology Supply Chain Application (TSCA), Sustainable Hospital Supply Chain Management (SHSCM), and Sustainable Societal Advancement (SSA) within the healthcare sector of Bangladesh. Utilizing a structured questionnaire, data was collected from a diverse group of 22 respondents, including doctors, administrators, and patients. Frequencies Analysis, conducted using IBM SPSS, provided a comprehensive demographic overview, while the Alpha Cronbach test affirmed the reliability of the research instrument with a high value. The fitness index analysis, performed using IBM AMOS software, subsequent modifications based on the Modification Index (MI) results led to a model that closely met the criteria of CMIN, degrees of freedom (df), CMIN/df, incremental fit CFI IFI, and absolute fit RMSEA, underscoring the pivotal role of the aforementioned variables in enhancing SHSCM and contributing to SSA. The findings emphasize the significance of a robust healthcare supply chain in ensuring optimal healthcare delivery and broader societal benefits. This research offers valuable insights for healthcare administrators, policymakers, and stakeholders, providing a roadmap for building resilient, efficient, and sustainable healthcare systems in the post-pandemic era.Keywords—Sustainable Hospital Supply Chain Management (SHSCM), Sustainable Societal Advancement (SSA), IBM SPSS, IBM AMOS.
Classification and Regression Tree Model to Predict the Probability of a Product being Backordered in Supply Chain Gazi Md Daud Iqbal; Matthew Rosenberger; Lidan Ha; Sadie Gregory; Emmanuel Anoruo
International Journal of Supply Chain Management Vol 12, No 4 (2023): International Journal of Supply Chain Management (IJSCM)
Publisher : ExcelingTech

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59160/ijscm.v12i4.6199

Abstract

Supply chain uncertainties pose a massive and ever-present challenge for modern companies. These uncertainties can manifest in two contrasting scenarios: supply surplus, where companies have excess items, and supply shortages, where there is an insufficient quantity of goods. Each situation demands a different approach from businesses to adapt to the varying outcomes and maintain a competitive edge in the market. Product backordering is one of the important things that companies need to deal with in an uncertain supply chain. A backorder occurs when a customer-ordered product or service is not in stock or cannot be supplied immediately, and the customer has to wait. Companies striving for a balance in managing backorders. Machine learning models can help to determine the probability of a product being backordered. In this research, we develop Classification and Regression Tree (CART) model that uses previously known parameters to predict the likelihood of a product being backordered. We also use different model parameters to evaluate the accuracy of the model.
An Information Operational Model for the Goods Maritime Transport Management in Thai Supply Chain Artaphon Chansamut
International Journal of Supply Chain Management Vol 12, No 4 (2023): International Journal of Supply Chain Management (IJSCM)
Publisher : ExcelingTech

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59160/ijscm.v12i4.6137

Abstract

The research aimed to develop and to assess an information operational model for the goods maritime transport management in Thai supply chain A samples are ten experts in the field of information. and supply chain. The data is analysed by means and standardized deviations. The research about an information operational model for the goods maritime transport management in Thai supply chain consists of six elements namely main elements Carriers , Port operator, Freight forwarders Suppliers and Customers. The assessment about an information operational model for the goods maritime transport management in Thai supply chain using Black-Box technique. The research findings revealed that an information operational model for the goods maritime transport management in Thai supply chain is appropriate at the high level which mean that This model can be develop information system.
The Robust Framework for Inventory Handling in Warehouses: Equipment Operations Walid Abdulelah H. Hadidi
International Journal of Supply Chain Management Vol 12, No 4 (2023): International Journal of Supply Chain Management (IJSCM)
Publisher : ExcelingTech

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59160/ijscm.v12i4.6198

Abstract

Abstract- This paper describes and discusses inventory handling within warehouses via equipment and its safe framework for operations. This paper includes a review of common equipment utilized to move inventory received from suppliers or issued to customers, and a review of technical equipment inspection along with preventive maintenance. The paper, also, expands on the common unsafe equipment operating practices and reveals its deficiencies. Finally, the paper showcases the optimal framework and best practices to operate equipment and move inventory safely and efficiently.
A Systematic Literature Review on Agri-Food Supply Chain Transparency Ikram Hasan; Md. Mamun Habib; Zulkifflee Mohamed
International Journal of Supply Chain Management Vol 12, No 4 (2023): International Journal of Supply Chain Management (IJSCM)
Publisher : ExcelingTech

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59160/ijscm.v12i4.6200

Abstract

The agri-food supply chain (ASC), integral to global sustenance, faces pressing challenges related to transparency and traceability. This systematic literature review (SLR) delves into the transformative potential of emerging digital technologies, namely Blockchain, IoT, and Digital Financial Solutions, in addressing these challenges. Through a rigorous selection process, 88 papers were meticulously reviewed, revealing a growing academic interest in the domain. The review underscores the individual and combined potentials of these technologies in enhancing transparency, fostering trust, and ensuring efficiency in the ASC. The study further highlights the synergistic benefits of integrating these technologies, emphasizing their role in real-time monitoring, secure transactions, and collaborative operations. The findings illuminate a promising future for the ASC, advocating for continued research and innovation in harnessing these technologies to meet the evolving demands of consumers and stakeholders.
Digital Supply Chain Model for the Cargos Maritime Transport Management in Thailand Chansamut, Artaphon
International Journal of Supply Chain Management Vol 12, No 4 (2023): International Journal of Supply Chain Management (IJSCM)
Publisher : ExcelingTech

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59160/ijscm.v12i4.6138

Abstract

The aim of this paper is to study and to assess digital supply chain model for the cargos maritime transport management in Thailand. A samples are ten experts in the field of information and supply chain. The data is analysed by means and standardized deviations. The paper consists of seven elements namely main elements Shipper, Port Operator, Freight forwarders , Suppliers ,Customers and Satisfaction. The assessment about digital model in supply chain for the cargos maritime transport management in Thailand using Black-Box technique. The research findings revealed that digital model in supply chain for the cargos maritime transport management in Thailand is appropriate at the high level , the ten experts agreed.
A Facility-Based Study of the Impact of COVID-19 on Supply Chain Performance of HIV/AIDS Commodities in Anambra State, Nigeria Johnson Okwudili Nweke; Chana Chapchet Robert; Sunday Odunke Nduka
International Journal of Supply Chain Management Vol 12, No 5 (2023): International Journal of Supply Chain Management (IJSCM)
Publisher : ExcelingTech

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59160/ijscm.v12i5.6203

Abstract

The COVID-19 pandemic and its induced lockdown resulted in huge disruptions that affected access to and availability of healthcare commodities at different levels of the supply chain system. An understanding of the pandemic impact in different areas will help in designing strategies to mitigate future disruptions. This study was designed to evaluate the supply chain performance of HIV/AIDS commodities through the review of key performance indicators in health facilities in Anambra State, Nigeria, during the COVID-19 pandemic lockdown. A facility-based cross- sectional study was conducted across 27 selected health facilities in the state. Facilities were selected using a stratified random sampling technique. Data was collected using a combination of a semi-structured questionnaire and observational checklists adapted from a previous study and the Logistics Indicators Assessment Tool (LIAT). Data obtained were analyzed using SPSS software (version 23). A total number of 44 focal personnel managing the HIV/AIDS supply chain in 17 secondary health centres (SHCs) and 10 primary health centres (PHCs) participated in the study. Tenofovir/Lamivudine/Dolutegravir (300/300/50mg) and Nevirapine 10mg/ml oral suspension were the two most available drugs at 85.19% and 78% respectively whereas Determine and Uni-Gold were the most available non- drug commodities at 92.59%, and 81.48% respectively during the lockdown period. The Stat-Pak test kit was stocked out in 30% of the facilities during the lockdown with emergency orders of at least one HIV commodity recorded in 37% of the facilities during this period. Expired products were recorded in 48% of the health facilities and this amounted to a loss of USD 4,027.25. The COVID-19 crisis exposed vulnerabilities in Anambra State's HIV/AIDS commodity supply chain. Instances of emergency orders, stock-outs, and wastage highlight the need for a more resilient system. Investing in an agile supply chain is crucial for ensuring uninterrupted access to essential healthcare commodities during disruptions.
Influence of Dynamics of Actors and Information on the Organic Supply Chain Md. Hasan Maksud Chowdhury; Md. Mamun Habib; Samsinar Md. Sidin
International Journal of Supply Chain Management Vol 12, No 5 (2023): International Journal of Supply Chain Management (IJSCM)
Publisher : ExcelingTech

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59160/ijscm.v12i5.6208

Abstract

The agricultural sector throughout the world has seen shifting significantly by suitably using e-technology. A good number of studies have been conducted on agriculture and food security. The growth rate of world organic farming or business increases to more than the growth rate of traditional agriculture. In Bangladesh the pace of growth of organic agriculture is insignificant. The organic agriculture or organic supply chain in Bangladesh was scarcely studied. Hence, an intensive study is needed for the organic agriculture industry to pursue the organic supply chain that leads to a promising growth of organic business.  A great deal of research has been conducted to explore the factors that may influence the organic supply chain and growth of the organic business. Several theories such as the diffusion of innovation theory, theory of planned behavior, marketing system and price of organic products, and quality function deployment have been studied and proposed to enhance the understanding of the issue. The integration of all these literature and theories has attracted the researcher’s attention. Thus, this study aims to explore the influence of information systems, e-technology, and the dynamics of the actors (consumer, retailer, intermediaries, transporter, farmer, and basic suppliers) on the organic supply chain enhancing the growth of the organic business. By adopting secondary data with collected data (primary data) using self-administrated questionnaires the research work was evaluated. A total of 389 responses from the organic agriculture industrial actors, consumers, and transporters were collected using stratified random sampling methods. To inspect and analyze data, Path Analysis and Structural Equation Modeling (SEM) techniques were used with AMOS. The results of the study indicated that the proposed model provided a good understanding of the factors influencing the organic supply chain.  From the result, it was also revealed that the organic supply chain has a significant impact on the growth of organic farming and organic consumers and the performance of organic businesses. The research objectives of this study were accomplished and all research hypotheses were supported. This study theoretically offers useful information and collected data might help to further research relevant to the organic supply chain. In addition, the study finds a way to foster a better understanding and knowledge of the organic supply chain. It is encouraged to do future research to study the factors and information and impact of the organic supply chain from various aspects.Keywords: organic supply chain, e-technology, organic agriculture, growth of organic business, SEM, AMOS
Digital Model for Procurement Management in Thai Supply Chain Chansamut, Artaphon
International Journal of Supply Chain Management Vol 12, No 5 (2023): International Journal of Supply Chain Management (IJSCM)
Publisher : ExcelingTech

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59160/ijscm.v12i5.6140

Abstract

An aim of the paper is to study and to assess digital model for procurement management in Thai supply chain. A samples are ten experts in the field of information and supply chain. The data is analysed by means and standardized deviations. The paper consists of seven elements namely main elements Suppliers , Producer, Finished goods and Customers and Satisfaction. The assessment about digital model in supply chain for the cargo maritime transport management in Thailand using Black-Box technique. The research findings revealed that digital model for procurement management in Thai supply chain is appropriate at the high level , the ten experts agreed.

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