Information System guided Sustainable Digital Logistics and Supply Chains – Managing Integrated Business Operations

Large size logistics and supply chains can exhibit data heterogeneity and multidimensionality challenges complicating the Information System (IS) construct design, model development, even precluding the data integration process. IS designs and models may be ambiguous during implementation of supply chain business management scenarios, affecting the industry business operations. Unpredictable IS designs can disarrange the data systems and can be bottlenecks of logical mapping and modelling supply chain management systems. These barriers can deter the decision-making process, constraining the tolerance between supply chains and geographically controlled database systems. New IS designs, and models are needed to resolve the data complexity that can smoothen the logistics and supply chain operations in spatial-temporal dimensions. The current research aims to develop a holistic information system approach in which multidimensional logistics and supply chains and their data views are examined to analyze the connectivity through IS ontology descriptions. Multidimensional ontology and Big Data guided ecosystems, inevitable to depict new knowledge within a geographic area, where Big Data novelty interprets data sources of multiple ecosystems, are added motivations for assessing the connectable supply chain operations and their sustainability. Multidimensional IS constructs, in which several distinct but related dimensions are treated as a single concept within an integrated framework. Use and reuse of IS artefacts, including effectiveness, interoperability evaluable utility properties, have significance in the research. Sustainability is additional assessable indicator of logistics and supply chains with supportable domain models, resilient data, vital schema constructs and prototypes, and achievable, stable and reliable repository systems. The integrated framework articulations analysed with laws of geography can influence the operational costs, sure for better lead times and enhanced stock management. The research outcome relies on the tactical development of the proposed IS framework to examine the sustainability between geographically distributed multiple logistics and supply chains and assess new business opportunities