Vapnik Chervonenkis dimension is a basic combinatorial notion with applications in machine learning, stability theory, and statistics. We explore what effect model theoretic structure has on the VC dimension of formulas, considered as parameterized families of sets, with respect to long disjunctions and conjunctions.
Understanding Dynamic Capabilities at the Subunit Level: Operational Flexibility and the Crucial Role of Organization Design and Information Sharing
Organizations are currently facing increasingly dynamic environments that require fast action in high-velocity settings. Recent research on dynamic capabilities purports that organizations need to build these capabilities to successfully confront increasing uncertainty. Among these capabilities, authors suggest that flexibility may be a key ingredient needed to adapt to uncertainty and change. Yet, a review of [...]