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Supply Chain Management Research Methodology Using Quantitative Models Based on Empirical Data

In: Research Methodologies in Supply Chain Management

Author

Listed:
  • Gerald Reiner

    (Vienna University of Economics and Business Administration)

Abstract

Summary Various papers have been published that define requirements for theory development in operations management or try to connect the knowledge generated along the different research lines. Here, we define the scope of supply chain management research and its relationship with operations management research. We show how quantitative model-driven research - especially under consideration of empirical data and simulation models - can be conducted in supply chain management research because this research type holds great potential for advancing theory. Furthermore, we illustrate our ideas via some selected research examples.

Suggested Citation

  • Gerald Reiner, 2005. "Supply Chain Management Research Methodology Using Quantitative Models Based on Empirical Data," Springer Books, in: Herbert Kotzab & Stefan Seuring & Martin Müller & Gerald Reiner (ed.), Research Methodologies in Supply Chain Management, pages 431-444, Springer.
    • Handle: RePEc:spr:sprchp:978-3-7908-1636-5_28
    DOI: 10.1007/3-7908-1636-1_28
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    Cited by:

    1. Arens, Ludwig & Plumeyer, Cord-Herwig & Theuvsen, Ludwig, 2012. "Determinants of the Use of Information: An Empirical Study of German Pig Farmers," International Food and Agribusiness Management Review, International Food and Agribusiness Management Association, vol. 15(1), pages 1-22, February.

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