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of the global supply chain. Most ways to model the stochasticity involve introducing nonlinear terms in the mathematical formulation. It is your goal to investigate how well machine learning methodology can be
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design of multi-armed bandits and reinforcement learning models with applications to recommendation systems and clinical trials (Gui Liberali), privacy (Gilian Ponte), causal inference (Jason Roos
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innovation management involves all actions needed to generate creative ideas and to turn these into attractive new products, services, and business models. The Innovation Management group at RSM is a team
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-of-the-art models in marketing science, economics, psychology, and computer science literatures relevant to understanding the phenomena. Identifying the fundamental variables, trade-offs and relationships
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reasoning to integrate data and theory. Methods include regression analysis, experiments, Bayesian modeling, and abductive reasoning. Our work in this area also covers how firms learn and protect knowledge
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the phenomena Identifying the fundamental variables and relationships that are most important to studying the phenomena and formalizing them in a measurement model or set of experimental hypotheses Gathering
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. Furthermore, traditional business models are starting to alienate parts of the general public by losing track of their interests and concerns. Overall, these issues are complex, because society changes in ways