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SCM Research Methodologies: Employing Structural Equation Modeling

In: Research Methodologies in Supply Chain Management

Author

Listed:
  • Cristina Gimenez

    (Universitat Pompeu Fabra)

  • Rudolf Large

    (HTW Saarland — University of Applied Sciences)

  • Eva Ventura

    (Universitat Pompeu Fabra)

Abstract

Summary Supply Chain Management research very often involves an analysis of relationships among abstract concepts. For this type of analysis, Structural Equation Modeling (SEM) is a very powerful technique because it combines measurement models (confirmatory factor analysis) and structural models (regression analysis) into a simultaneous statistical test. The objective of this paper is to show how SEM can be employed in theory testing. We will also describe a process regarding its implementation and show an example of a research paper based on this methodology.

Suggested Citation

  • Cristina Gimenez & Rudolf Large & Eva Ventura, 2005. "SCM Research Methodologies: Employing Structural Equation Modeling," Springer Books, in: Herbert Kotzab & Stefan Seuring & Martin Müller & Gerald Reiner (ed.), Research Methodologies in Supply Chain Management, pages 155-170, Springer.
    • Handle: RePEc:spr:sprchp:978-3-7908-1636-5_11
    DOI: 10.1007/3-7908-1636-1_11
    as

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