John, P., Takagi, N., Noble, A., Björkroth, P., & Brooks, B. (2016). VTS-Bot: Analysis and Implementation of a Student-Centred Learning Approach by Using a ChatBot Computer Programme to Provide for Outcome-based Maritime Communication Training. IAMU Research Project (S. 68). Tokyo (Japan): International Association of Maritime Universities (IAMU) Secretariat. (Original work published August 2016)
Peña, A., Hasager, C. B., Badger, M., Barthelmie, R. J., Bingöl, F., Cariou, J.-P., … Wagner, R. (2015). Remote Sensing for Wind Energy. Denmark: DTU Wind Energy. Abgerufen von https://orbit.dtu.dk/en/publications/remote-sensing-for-wind-energy-4
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
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.