Labes, A. . (2013). Early drug discovery: Models for Entering Pharmaceutical Pipelines. In 2. Deutsch-Russisches Forum Biotechnologie. Abgerufen von http://oceanrep.geomar.de/23001/
Gencel, C. ., Petersen, K. ., Mughal, A. A., & Iqbal, M. I. (2013). A decision support framework for metrics selection in goal-based measurement programs: GQM-DSFMS. Journal of Systems and Software, 86, 3091–3108.
Penzenstadler, B. ., Khurum, M. ., & Petersen, K. . (2013). Towards Incorporating Sustainability while Taking Software Product Management Decisions. In 7th International Workshop on Software Product Management (S. 71–58).
Labes, A. . (2013). Genome based methods for the exploration of natural products from marine fungi for the treatment of cancer. In Tagung der Vereinigung für allgemeine und angewandte Mikrobiologie. Abgerufen von http://oceanrep.geomar.de/23000/
Uzunkol, O. . (2013). Generalized class invariants with "Thetanullwerte". Turkish Journal of Mathematics, 37, 165–181. http://doi.org/10.3906/mat-1106-4
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.
Mäntylä, M. . , V, Khomh, F. ., Adams, B. ., Engström, E. ., & Petersen, K. . (2013). On rapid releases and software testing. In 2013 IEEE International Conference on Software Maintenance (S. 20–29).
Oesterwalbesloh, J. ., Wiese, J. ., Labes, A. ., & Imhoff, J. F. (2013). Habitat specific provocation of secondary metabolite production by marine bacteria ? microbial communication and pharmaceutical use. In VAAM Jahrestagung 2013. Abgerufen von http://oceanrep.geomar.de/20913/