International Journal of Business, Management and Commerce (IJBMC)

ISSN 2519-9056 (Online) , ISSN 2519-9048 (Print)

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Abstract

The SCOR Model is one of the most applied reference models to support the description of supply chains and understanding the relationship between supply-chain management practices and supply chain performance becomes increasingly important. The Supply Chain Operations Reference (SCOR) model owes its wide dissemination particularly the activities of the Supply chain council provides a framework for characterizing supply chain management practices and processes that result in best in class performance. This paper investigates potentials for future extensions of the model. An explorative survey of 15 companies in SMESs for extension potentials population. By an exhaustive analysis of 80 samples to be evaluate for this study. This exploratory study investigates the relationship between supply chain business management planning and supply chain performance based on the four decision areas provided in SCOR Model Version 4.0 (PLAN, SOURCE, MAKE, DELIVER) and nine key supply chain management planning practices derived from supply chain business management experts. The questionnaire tool by Supply chain council is used to analyze requirements on modeling tools to support the application of a respective extended SCOR Model. A concept of a tool support which accomplishes most of the requirements is described and realized as a prototype which is introduced in this paper. The results show that planning processes are important in all SCOR supply chain planning decision areas. Collaboration was found to be most important in the Plan, Source and Make planning decision areas, while teaming was most important in supporting the Plan and Source planning decision areas. Process measures, process credibility and process integration were found to be most critical in supporting the Deliver planning decision area. Using these results, the study discusses the implications of the findings and suggests several a venues for future research.