Abstract
Supply chain management (SCM) strives for creating competitive advantage and value for customers by integrating business processes from end users through original suppliers. However, the question of how SCM influences the value of a firm is not fully answered. Various conceptual frameworks that explain the coherence of SCM and company value, comprehended as value-based SCM, are well accepted in scientific research, but quantitative approaches to value-based SCM are found rather seldom. The book contributes to this research gap by proposing quantitative models that allow for assessing influences of SCM on the value of a firm. Opposed to existing models that limit the observation to chosen facets of SCM or selected value drivers, this holistic approach is adequate to • reflect configurational and operational aspects of SCM, • cover all phases of the product life cycle, • financially compare value impacts of profitability-related and asset-related value drivers, and • assess influences of dynamics and uncertainties on company value.
Zitieren
1.
Brandenburg M. Quantitative Models for Value-Based Supply Chain Management. Berlin, Heidelberg: Springer; 2013:219. doi:10.1007/978-3-642-31304-2.
Brandenburg, M. . (2013). Quantitative Models for Value-Based Supply Chain Management. Lecture Notes in Economics and Mathematical Systems (S. 219). Berlin, Heidelberg: Springer. http://doi.org/10.1007/978-3-642-31304-2
Brandenburg, Marcus. 2013. Quantitative Models for Value-Based Supply Chain Management. Lecture Notes in Economics and Mathematical Systems. Berlin, Heidelberg: Springer. doi:10.1007/978-3-642-31304-2.
Brandenburg, Marcus. Quantitative Models for Value-Based Supply Chain Management. Berlin, Heidelberg: Springer, 2013.
Brandenburg, Marcus. „Quantitative Models for Value-Based Supply Chain Management“. Lecture Notes in Economics and Mathematical Systems, Springer, 2013, S. 219, doi:10.1007/978-3-642-31304-2.
Details
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Number of Pages
219 -
Publisher
Springer -
City
Berlin, Heidelberg -
ISBN Number
978-3-642-31303-5 -
Other Numbers
978-3-642-31304-2 -
URL
https://www.springer.com/gp/book/9783642313035