Linking SCOR planning practices to supply chain performance

Author:

Lockamy Archie,McCormack Kevin

Abstract

As supply chains continue to replace individual firms as the economic engine for creating value during the twenty‐first century, understanding the relationship between supply‐chain management practices and supply chain performance becomes increasingly important. The Supply‐Chain Operations Reference (SCOR) model developed by the Supply Chain Council provides a framework for characterizing supply‐chain management practices and processes that result in best‐in‐class performance. However, which of these practices have the most influence on supply chain performance? This exploratory study investigates the relationship between supply‐chain management planning practices 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 management experts and practitioners. 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, process integration, and information technology 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 avenues for future research.

Publisher

Emerald

Subject

Management of Technology and Innovation,Strategy and Management,General Decision Sciences

Reference60 articles.

1. Abell, D.F. (1999), “Competing today while preparing for tomorrow”, Sloan Management Review, Vol. 40 No. 3, pp. 73‐81.

2. Ansari, A., Lockwood, D.L. and Modarress, B. (1999), “Supplier product integration: a new competitive approach”, Production and Inventory Management Journal, Vol. 40 No. 3, pp. 57‐61.

3. Boddy, D., Macbeth, D. and Wagner, B. (2000), “Implementing collaboration between organizations: an empirical study of supply chain partnering”, The Journal of Management Studies, Vol. 37 No. 7, pp. 1003‐17.

4. Brewton, T. and Kingseed, K. (2001), “Getting the most from your B2B‐enabled supply chain”, The Journal of Business Strategy, Vol. 22 No. 1, pp. 28‐31.

5. Cauthen, R. (1999), “APS technology: powering supply chain management”, Enterprise Systems Journal, Vol. 14 No. 9, pp. 41‐8.

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