Background: The components of information systems (ISCs) have become a critical factor in the adoption of enterprise application architecture (EAA) for supply chain management (SCM) within small and medium enterprises (SMEs) when used reciprocally with competent capital formation, mainframe and personal computers, application software systems, and information technology expert. The current study examined information systems components (ISCs) as they were used in the adoption of EAA in SMEs, scrutinised the Theory of Planned Behavior, and systematic literature review.Objective: This paper seeks to contribute to the fundamental aspects of ISCs that influence the adoption of EAA for SCM in small and medium enterprises (SMSs) in South Africa, located in Limpopo Province of Capricorn District Municipality.Methodology: A quantitative survey presented both diagnostic tests and data analysis as that of the methodological modus operandi. Descriptive data analysis generated Pearson’s correlation and coefficient, along with analysis of variance (ANOVA) and linear regression. Data was collected through stratified random sampling of SME owners and managers.Results: The most substantial results indicate that ISCs should be integrated with transactional support systems (TSSs), management information systems (MISs), information systems governance (ISG), decision support systems (DSSs), executive support systems (ESSs), knowledge management systems (KMSs), and web application architecture (WAA) to predict EAA acceptance.Conclusion: This article described the greatest possible direction for considering ISCs when planning to integrate EAA adoption. Furthermore, the research results provide a preliminary overview and analysis of the results that support the alternative hypothesis that ISCs influence SCM adoption and implementation of EAA in SMEs.
{"title":"Moulding information systems components and agitations for the adoption of enterprise application architecture for supply chain management","authors":"Kingston Xerxes Theophilus Lamola Lamola","doi":"10.4102/jtscm.v16i0.707","DOIUrl":"https://doi.org/10.4102/jtscm.v16i0.707","url":null,"abstract":"Background: The components of information systems (ISCs) have become a critical factor in the adoption of enterprise application architecture (EAA) for supply chain management (SCM) within small and medium enterprises (SMEs) when used reciprocally with competent capital formation, mainframe and personal computers, application software systems, and information technology expert. The current study examined information systems components (ISCs) as they were used in the adoption of EAA in SMEs, scrutinised the Theory of Planned Behavior, and systematic literature review.Objective: This paper seeks to contribute to the fundamental aspects of ISCs that influence the adoption of EAA for SCM in small and medium enterprises (SMSs) in South Africa, located in Limpopo Province of Capricorn District Municipality.Methodology: A quantitative survey presented both diagnostic tests and data analysis as that of the methodological modus operandi. Descriptive data analysis generated Pearson’s correlation and coefficient, along with analysis of variance (ANOVA) and linear regression. Data was collected through stratified random sampling of SME owners and managers.Results: The most substantial results indicate that ISCs should be integrated with transactional support systems (TSSs), management information systems (MISs), information systems governance (ISG), decision support systems (DSSs), executive support systems (ESSs), knowledge management systems (KMSs), and web application architecture (WAA) to predict EAA acceptance.Conclusion: This article described the greatest possible direction for considering ISCs when planning to integrate EAA adoption. Furthermore, the research results provide a preliminary overview and analysis of the results that support the alternative hypothesis that ISCs influence SCM adoption and implementation of EAA in SMEs.","PeriodicalId":43985,"journal":{"name":"Journal of Transport and Supply Chain Management","volume":"118 1","pages":""},"PeriodicalIF":1.5,"publicationDate":"2022-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80291066","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}
Background: The adoption of supply chain management (SCM) strategy in the last four decades has transformed enterprises, prompting them to take a more customer-centric approach in their operations. Addressing the customer’s needs through coordinated SC networks is a competitive advantage for enterprises. The purpose of this study was to explore SCM as a competitive advantage for small and medium-sized enterprises (SMEs), specifically grocery stores in Mahikeng, South Africa.Research objectives: The investigation sought to explore the role of supply chain collaboration in enhancing constant flow of products for business continuity and cost-saving for SMEs from third-party logistics (3PL) transport optimisation, and it was discovered that the practice of reverse logistics by SMEs recovered value and reduced waste.Research methodology: A qualitative research method with descriptive design and a nonprobability sampling strategy was followed to conduct the study. The recorded interviews were transcribed, translated, coded and analysed via thematic data analysis to determine the outcome of the study.Results: The study established that SCM improved cost-effectiveness through cost-saving on shared (3PL) transportation between SMEs and improved efficiency through enhanced supplier–customer relationships by maintaining continuous flow of products and services. The optimisation of transportation, continuous flow of products and services and recovery of value through reverse logistics reduced waste and increased efficiency, which enhanced competitiveness and sustainability of the retailers.Conclusion: It is apparent that enterprises that streamlined operations through SCM also reduced waste, thereby enhancing competitiveness and sustainability. The findings indicated that owners and managers will understand the benefits of adopting SCM strategies.
{"title":"Supply chain management as a competitive advantage for grocery small and medium-sized enterprises in Mahikeng, South Africa","authors":"Kgosietsile F. Monnagaaratwe, Kenneth Mathu","doi":"10.4102/jtscm.v16i0.791","DOIUrl":"https://doi.org/10.4102/jtscm.v16i0.791","url":null,"abstract":"Background: The adoption of supply chain management (SCM) strategy in the last four decades has transformed enterprises, prompting them to take a more customer-centric approach in their operations. Addressing the customer’s needs through coordinated SC networks is a competitive advantage for enterprises. The purpose of this study was to explore SCM as a competitive advantage for small and medium-sized enterprises (SMEs), specifically grocery stores in Mahikeng, South Africa.Research objectives: The investigation sought to explore the role of supply chain collaboration in enhancing constant flow of products for business continuity and cost-saving for SMEs from third-party logistics (3PL) transport optimisation, and it was discovered that the practice of reverse logistics by SMEs recovered value and reduced waste.Research methodology: A qualitative research method with descriptive design and a nonprobability sampling strategy was followed to conduct the study. The recorded interviews were transcribed, translated, coded and analysed via thematic data analysis to determine the outcome of the study.Results: The study established that SCM improved cost-effectiveness through cost-saving on shared (3PL) transportation between SMEs and improved efficiency through enhanced supplier–customer relationships by maintaining continuous flow of products and services. The optimisation of transportation, continuous flow of products and services and recovery of value through reverse logistics reduced waste and increased efficiency, which enhanced competitiveness and sustainability of the retailers.Conclusion: It is apparent that enterprises that streamlined operations through SCM also reduced waste, thereby enhancing competitiveness and sustainability. The findings indicated that owners and managers will understand the benefits of adopting SCM strategies.","PeriodicalId":43985,"journal":{"name":"Journal of Transport and Supply Chain Management","volume":"70 1","pages":""},"PeriodicalIF":1.5,"publicationDate":"2022-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84123669","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":"The geography of logistics facilities relative to airports: Taxonomy of literature and research agenda","authors":"Masilonyane Mokhele","doi":"10.4102/jtscm.v16i0.770","DOIUrl":"https://doi.org/10.4102/jtscm.v16i0.770","url":null,"abstract":"","PeriodicalId":43985,"journal":{"name":"Journal of Transport and Supply Chain Management","volume":"31 1","pages":""},"PeriodicalIF":1.5,"publicationDate":"2022-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81758970","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}
Background: Order allocation planning and inventory management are two important problems in manufacturing industries that must be solved optimally to gain maximal profit. Commonly, there are several unknown parameters in those problems such as future price, future demand, etc., and this means decision-making support that can handle this uncertainty is needed to calculate an optimal decision.Objectives: This study aimed to propose a newly developed joint decision-making support to solve order allocation planning and inventory optimisation of raw materials in a production system comprising multiple suppliers, products and review times with fuzzy parameters.Method: The model was formulated as a fuzzy expectation-based quadratic programming with the uncertain parameters approached as fuzzy numbers. This was used to handle the fuzzy parameters involved in the problem. A classical optimisation algorithm, the generalised reduced gradient combined with branch-and-bound embedded in LINGO 18.0 was applied to calculate the optimal decision. Numerical experiments were conducted using some randomly generated data with four suppliers, four raw materials and six review times.Results: Results provided the optimal decision for the given problem, that is, the number of raw materials to be ordered from each supplier at each review time, as well as the corresponding number to be stored in the warehouse.Conclusion: The proposed model successfully solved the given problems and thus can be used by decision-makers to solve their order allocation planning and inventory problems.
{"title":"Using fuzzy expectation-based programming for inventory management","authors":"W. Widowati, S. Sutrisno, R. H. Tjahjana","doi":"10.4102/jtscm.v16i0.782","DOIUrl":"https://doi.org/10.4102/jtscm.v16i0.782","url":null,"abstract":"Background: Order allocation planning and inventory management are two important problems in manufacturing industries that must be solved optimally to gain maximal profit. Commonly, there are several unknown parameters in those problems such as future price, future demand, etc., and this means decision-making support that can handle this uncertainty is needed to calculate an optimal decision.Objectives: This study aimed to propose a newly developed joint decision-making support to solve order allocation planning and inventory optimisation of raw materials in a production system comprising multiple suppliers, products and review times with fuzzy parameters.Method: The model was formulated as a fuzzy expectation-based quadratic programming with the uncertain parameters approached as fuzzy numbers. This was used to handle the fuzzy parameters involved in the problem. A classical optimisation algorithm, the generalised reduced gradient combined with branch-and-bound embedded in LINGO 18.0 was applied to calculate the optimal decision. Numerical experiments were conducted using some randomly generated data with four suppliers, four raw materials and six review times.Results: Results provided the optimal decision for the given problem, that is, the number of raw materials to be ordered from each supplier at each review time, as well as the corresponding number to be stored in the warehouse.Conclusion: The proposed model successfully solved the given problems and thus can be used by decision-makers to solve their order allocation planning and inventory problems.","PeriodicalId":43985,"journal":{"name":"Journal of Transport and Supply Chain Management","volume":"97 1","pages":""},"PeriodicalIF":1.5,"publicationDate":"2022-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75011161","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":"Employees’ aptitudes and trepidations for the adoption of enterprise application architecture for supply chain management in small and medium enterprises: A case of Capricorn District Municipality","authors":"Kingston Xerxes Theophilus Lamola Lamola","doi":"10.4102/jtscm.v16i0.708","DOIUrl":"https://doi.org/10.4102/jtscm.v16i0.708","url":null,"abstract":"","PeriodicalId":43985,"journal":{"name":"Journal of Transport and Supply Chain Management","volume":"28 1","pages":""},"PeriodicalIF":1.5,"publicationDate":"2022-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78959703","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":"Exploring the factors affecting the adoption of blockchain technology in the supply chain and logistic industry","authors":"Ayanda Mthimkhulu, Osden Jokonya","doi":"10.4102/jtscm.v16i0.750","DOIUrl":"https://doi.org/10.4102/jtscm.v16i0.750","url":null,"abstract":"","PeriodicalId":43985,"journal":{"name":"Journal of Transport and Supply Chain Management","volume":"35 1","pages":""},"PeriodicalIF":1.5,"publicationDate":"2022-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75264148","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}
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