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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
Digital Supply Chain Finance Model in Thailand Artaphon Chansamut
International Journal of Supply Chain Management Vol 12, No 1 (2023): International Journal of Supply Chain Management (IJSCM)
Publisher : ExcelingTech

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59160/ijscm.v12i1.6095

Abstract

The chapter aims to study  and to evaluate digital supply chain finance model in Thailand. The samples in the research study consisted of ten purposively selected experts consisted of three experts on supply chain, five experts on Digital Technology and three experts on the finance. Data were analysed by arithmetic mean and standard deviation. The research findings model seven elements namely main components, Buyer, supplier , Bank or Financial Institution. The ten experts agree that digital supply chain finance model in Thailand was high suitability and can be appropriately applied in actual work settings.
Information Model for Non-Formal Education Management in Thai Supply Chain Artaphon Chansamut
International Journal of Supply Chain Management Vol 12, No 1 (2023): International Journal of Supply Chain Management (IJSCM)
Publisher : ExcelingTech

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59160/ijscm.v12i1.6081

Abstract

The  study aim to develop and to evaluate information model for educational management in non-formal education in Thai supply chain. The sample groups were three experts in supply chain management, three experts in Information and technology and four experts in curriculum. The research tool was evaluation form to  evaluate information model for educational management in non-formal education in Thai supply chain comprises five main components, namely Raw materials, Supplier,   Manufacturer education  , Finished product and Customers. The data analysed by using arithmetic mean and standard deviation information model for educational management in non-formal education in Thai supply chain using Back-Box technique. The results from experts have evaluated the model and commented that the model is high level of appropriateness, suggesting that information model to support sustainable   information development.
Utilizing Data Analytics to Analyze Online Purchase Behavior David Marshall
International Journal of Supply Chain Management Vol 12, No 1 (2023): International Journal of Supply Chain Management (IJSCM)
Publisher : ExcelingTech

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59160/ijscm.v12i1.6164

Abstract

The emergence of data analytics has fundamentally transformed supply chain management strategies in the global marketplace during the past decade.  Classification is one of the most popular methods and receives a great deal of attention in the literature, but there are still some questions concerning the performance characteristics of different classification methods.  This paper analyzes three different classification methods:  classification trees, k-nearest neighbors, and artificial neural networks to determine if there are any performance gaps between the methods.  A series of experiments are conducted utilizing the Analytic Solver Data Mining (formerly XLMiner) add-in to Microsoft Excel in an effort to address these issues.  The analysis reveals that there may be minor performance gaps, but the methods all perform well in the context of this study.
Identifying Desirable Competencies for Supply Chain Management Professionals David Marshall; Wei-Cheng Milton Shen
International Journal of Supply Chain Management Vol 12, No 1 (2023): International Journal of Supply Chain Management (IJSCM)
Publisher : ExcelingTech

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59160/ijscm.v12i1.6165

Abstract

As the human dimension becomes increasingly critical to overall success of supply chain management (SCM), practitioners, researchers, and educators face the daunting task of identifying requisite competencies for SCM professionals.  By using a large, frequently-updated, publicly-available archive – O*NET, this research contrasts SCM and other business professionals to highlight the unique competencies that define the SCM profession. We find that SCM professionals need greater functional knowledge about operations (e.g., transportation, production), higher general knowledge in geography and foreign language, extensive interpersonal skills, and a person-oriented management style.   Furthermore, while limited differences exist between purchasing and logistic managers in the SCM profession, they exhibit certain competencies that distinguish them from operation managers.  Such results inform efforts at curriculum design, recruitment, career development, and corporate training by suggesting areas where it may well be advantageous to customize efforts toward ensuring that requisite competencies are addressed.
Supply Chain Finance Information Model in Thailand Artaphon Chansamut
International Journal of Supply Chain Management Vol 12, No 1 (2023): International Journal of Supply Chain Management (IJSCM)
Publisher : ExcelingTech

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59160/ijscm.v12i1.6094

Abstract

The  paper aim to develop and to evaluate supply chain finance information model in Thailand. The sample  consisted of ten  experts who have more than six years’ experience in supply chain and Information  and were selected by purposive sampling. After analysing the data, it showed that supply chain finance information model in Thailand comprises four main components, namely buyer, supplier and lender. The data analysed by using arithmetic mean and standard supply chain finance information model in Thailand After analysing the data, it showed that supply chain finance information model in Thailand is high level of appropriateness, suggesting that supply chain finance information model in Thailand able  to  develop information .
Supply Chain Information System for Revenue Collection of the Revenue Department in Thailand Artaphon Chansamut
International Journal of Supply Chain Management Vol 12, No 1 (2023): International Journal of Supply Chain Management (IJSCM)
Publisher : ExcelingTech

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59160/ijscm.v12i1.6101

Abstract

The article about supply chain Information system for revenue collection of the Revenue Department in Thailand aim to present tax management through a supply chain applying for better effective tax management The tax management needs to be appropriate to changes of globalized economy and society. The processes consisted of Suppliers,  The revenue department , Finished tax, Customers ,All component connect with information communication technology in the Thailand with the supply chain. This truly added the revenue department in Thailand .The supply chain and information system may be applied in the tax to support the tasks.
Information System Model for Worker Welfare Management for the Firm in Thai Supply Chain Artaphon Chansamut
International Journal of Supply Chain Management Vol 12, No 1 (2023): International Journal of Supply Chain Management (IJSCM)
Publisher : ExcelingTech

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59160/ijscm.v12i1.6105

Abstract

The research aim study  information system model for worker welfare management for the firm in Thai supply chain and  an evaluation of the model . This research was purposive sampling method approach with a sampling of ten experts in the field of information system and supply chain. The obtained data are analysed using mean and standard deviation. The research result demonstrates the model consists of five elements namely main components, Supplier, The firm, Satisfaction and service, Customers . The results from ten experts have evaluated the model and commented that the developed model showed high suitability which mean  information system model for worker welfare management for the firm in Thai supply chain  can develop  information  system,
An Information Model for Asset Management in Higher Education Institutions in Thai Supply Chain Artaphon Chansamut
International Journal of Supply Chain Management Vol 12, No 1 (2023): International Journal of Supply Chain Management (IJSCM)
Publisher : ExcelingTech

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59160/ijscm.v12i1.6092

Abstract

The  research aim were to develop and to evaluate  an information system model for asset management for higher education institution in thai supply chain . The samples are ten experts in the field of information system and supply chain. The data is analysed by means and standardized deviations. The research result shows that the model consists of four elements namely main components, Suppliers, Manufacturer, Customers, The result shows the overall rating mean of 3.65 and standard deviation of 0.66, which means that an information system model for asset management for higher education institution in thai supply chain is appropriate at the high level.The model can  develop an information system .
Digital System Model for Asset Management in the Universities in Thai Supply Chain Artaphon Chansamut
International Journal of Supply Chain Management Vol 12, No 1 (2023): International Journal of Supply Chain Management (IJSCM)
Publisher : ExcelingTech

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59160/ijscm.v12i1.6093

Abstract

The  article   was conducted to develop and to evaluate digital system model  for asset management in the universities in thai supply chain. A samples group in the research study consisted of ten  experts consisted of five experts on supply chain management, five experts on digital, Data were analysed by arithmetic mean and standard deviation. The article findings model six elements namely main components, Suppliers , Universities , customers,  satisfaction, feedback . The assessment digital system model  for asset management in the universities in thai supply chain using Black-Box technique and The results from experts agreement digital system model  for asset management in the universities in thai supply chain was a high level. The model could be used to develop digital asset in the universities.
Digital Supply Chain for Revenue Collection of the Revenue Department in Thailand Artaphon Chansamut
International Journal of Supply Chain Management Vol 12, No 1 (2023): International Journal of Supply Chain Management (IJSCM)
Publisher : ExcelingTech

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59160/ijscm.v12i1.6102

Abstract

An academic article about digital supply chain  for Revenue Collection of the Revenue Department in Thailand aim to present tax management through a supply chain applying for better effective tax management The tax management needs to be appropriate to changes of globalized economy and society. The processes consisted of Suppliers,  The revenue department , Customers , consumers Satisfaction and feedback .All element connect with digital in the Thailand with the supply chain. This truly added the revenue department in Thailand .The supply chain will be applicable for Revenue Collection of the Revenue Department in Thailand.

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