{"title":"An Office Management Model for Higher Education Institutions in Thai Service Supply Chains","authors":"Artaphon Chansamut","doi":"10.59160/ijscm.v12i1.6091","DOIUrl":"https://doi.org/10.59160/ijscm.v12i1.6091","url":null,"abstract":"This research aim to design and evaluate an office management model for higher education institutions in Thai service supply chains Then, developed a survey research, which used the sample group consisted of five in supply chain, five experts in Management. All totalling ten experts. Data analysis was the average mean and standard deviation. The research was found that an office management model for higher education institutions in Thai service supply chains six comprises namely main components, Supplier, Manufacturer, Material handling and packaging, Service provider ,Customers and results from ten experts agreement of an office management model for higher education institutions in Thai service supply that mean an office management model for higher education institutions in Thai service supply chain to may be appropriately applied in actual work settings.","PeriodicalId":37872,"journal":{"name":"International Journal of Construction Supply Chain Management","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135996585","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Digital Pattern for Worker Welfare Management for an Organization in Thai Supply Chain","authors":"Artaphon Chansamut","doi":"10.59160/ijscm.v12.i01.6106","DOIUrl":"https://doi.org/10.59160/ijscm.v12.i01.6106","url":null,"abstract":"The objective of research study were to study pattern of digital for worker welfare management for organization in Thai supply chain and evaluation of the model . The sample group in this study consisted of ten experts using purposive sampling. Data were analysed by arithmetic mean and standard deviation. The research findings model six elements namely main components, Supplier, organization , Satisfaction and service, Customers satisfaction and feedback. The ten experts agree that pattern of digital for worker welfare management for organization in Thai supply chain was high suitability which mean that pattern of digital for worker welfare management for organization in Thai supply chain may be applied in worker welfare to support the tasks.. ","PeriodicalId":37872,"journal":{"name":"International Journal of Construction Supply Chain Management","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88794908","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Digital Supply Chain Finance Model in Thailand","authors":"Artaphon Chansamut","doi":"10.59160/ijscm.v12.i01.6095","DOIUrl":"https://doi.org/10.59160/ijscm.v12.i01.6095","url":null,"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.","PeriodicalId":37872,"journal":{"name":"International Journal of Construction Supply Chain Management","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84312467","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A Digital System Model for Online Driver's License for Department of Land Transport in Thai Supply Chain","authors":"Artaphon Chansamut","doi":"10.59160/ijscm.v12i1.6104","DOIUrl":"https://doi.org/10.59160/ijscm.v12i1.6104","url":null,"abstract":"The purpose of paper study were to study a digital system model for online driver’s license department of land transport in Thai supply chain and evaluation of the model . The sample group in this study consisted of ten experts using purposive sampling. Data were analysed by arithmetic mean and standard deviation. The research findings model six elements namely main components, Supplier, Department of land transport, Finished person ,Customers satisfaction and Return. The ten experts agree that a digital system model for online driver’s license department of land transport in Thai supply chain was high suitability which mean that The model may be appropriately applied in actual work settings.","PeriodicalId":37872,"journal":{"name":"International Journal of Construction Supply Chain Management","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135996584","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Utilizing Data Analytics to Analyze Online Purchase Behavior","authors":"David Marshall","doi":"10.59160/ijscm.v12.i01.6164","DOIUrl":"https://doi.org/10.59160/ijscm.v12.i01.6164","url":null,"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.","PeriodicalId":37872,"journal":{"name":"International Journal of Construction Supply Chain Management","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89877485","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Information System Model for Worker Welfare Management for the Firm in Thai Supply Chain","authors":"Artaphon Chansamut","doi":"10.59160/ijscm.v12.i01.6105","DOIUrl":"https://doi.org/10.59160/ijscm.v12.i01.6105","url":null,"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.","PeriodicalId":37872,"journal":{"name":"International Journal of Construction Supply Chain Management","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74107598","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Identifying Desirable Competencies for Supply Chain Management Professionals","authors":"D. Marshall, Wei-Cheng Shen","doi":"10.59160/ijscm.v12.i01.6165","DOIUrl":"https://doi.org/10.59160/ijscm.v12.i01.6165","url":null,"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.","PeriodicalId":37872,"journal":{"name":"International Journal of Construction Supply Chain Management","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90441934","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Digital Supply Chain Model for Revenue Collection Management for the Excise Department in Thailand","authors":"Artaphon Chansamut","doi":"10.59160/ijscm.v12.i01.6099","DOIUrl":"https://doi.org/10.59160/ijscm.v12.i01.6099","url":null,"abstract":"The objective of this research were to study and to evaluate digital supply chain model for Revenue Collection of the Excise Department in Thailand. The samples in the research study consisted of ten purposively selected experts consisted of five experts on supply chain management, five experts on Digital Technology, Data were analysed by arithmetic mean and standard deviation. The research findings model five elements namely main components, Supplier, the excise department, and Customers and Return. The ten experts agree that digital supply chain model for Revenue Collection of the Excise Department in Thailand was high suitability that show the model is appropriate and can be appropriately applied in actual work settings.","PeriodicalId":37872,"journal":{"name":"International Journal of Construction Supply Chain Management","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89849471","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Digital Supply Chain Finance Model in Thailand","authors":"Artaphon Chansamut","doi":"10.59160/ijscm.v12i1.6095","DOIUrl":"https://doi.org/10.59160/ijscm.v12i1.6095","url":null,"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.","PeriodicalId":37872,"journal":{"name":"International Journal of Construction Supply Chain Management","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135996581","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Digital Supply Chain Model for Revenue Collection Management for the Excise Department in Thailand","authors":"Artaphon Chansamut","doi":"10.59160/ijscm.v12i1.6099","DOIUrl":"https://doi.org/10.59160/ijscm.v12i1.6099","url":null,"abstract":"The objective of this research were to study and to evaluate digital supply chain model for Revenue Collection of the Excise Department in Thailand. The samples in the research study consisted of ten purposively selected experts consisted of five experts on supply chain management, five experts on Digital Technology, Data were analysed by arithmetic mean and standard deviation. The research findings model five elements namely main components, Supplier, the excise department, and Customers and Return. The ten experts agree that digital supply chain model for Revenue Collection of the Excise Department in Thailand was high suitability that show the model is appropriate and can be appropriately applied in actual work settings.","PeriodicalId":37872,"journal":{"name":"International Journal of Construction Supply Chain Management","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135996586","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}