Quantitative models for value-based supply chain management

  • Marcus Brandenburg
Part of the Advanced Studies in Supply Management book series (ASSM)

Abstract

It is taken for granted and substantiated by conceptual frameworks, qualitative arguments and empirical research that supply chain management (SCM) influences the value of a firm. However, value-based metrics and quantitative models to measure and compare this influence are found rather seldom in scientific research. Most often, quantitative research approaches are focused on measuring and evaluating the supply chain efficiency or limited to the assessment of selected SCM-related drivers of company value. The paper at hand takes up this research gap. Developments and directions of related scientific research are identified in a literature review, out of which a conceptual framework for value-based SCM is derived. Grounded on this framework, two quantitative models are developed which comprise financial and non-financial SCM-related factors of company value and allow for measuring and financially comparing their value impacts. These models are empirically tested in a secondary data analysis and a case study from the fast moving consumer goods industry.

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© Springer Fachmedien Wiesbaden 2013

Authors and Affiliations

  • Marcus Brandenburg

There are no affiliations available

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