Knowledge Sharing in Platform Ecosystems through Sponsored Online Communities: The Influence of User Roles and Media Richness

Platform ecosystems are characterized by knowledge boundaries that arise between the platform owner and third-party developers. Although major platform owners such as Microsoft and SAP nurture sponsored online communities to overcome knowledge boundaries in their ecosystem, the peculiarities of such communities are yet to be examined. Drawing upon the lead user and media richness theory, we investigate how different user roles and media types influence the value of a knowledge contribution in such communities. Analyzing one million answers from the SAP Community, we uncovered that both lead users and sponsor representatives are more likely to provide valuable knowledge contributions compared to normal users. Moreover, we show that attachments, code snippets, and links significantly enhance the value of a knowledge contribution. Surprisingly, we find a strong negative moderation effect of code snippets on the contributions of sponsor representatives, but a strong positive moderation effect on the contributions of lead users

Wettbewerbssituation im Schweizer Automobilgewerbe (Berichtsjahre 2008 – 2011): Rechtliche und ökonomische Analyse der Kfz-Bekanntmachung (2008-2011) – Voraussichtliche Marktauswirkungen bei Wegfall der Kfz-Bekanntmachung sowie bei Übernahme des EU-Wettbewerbsrecht (ab 2013)

Gutachte

Transformation-Dependent Performance-Enhancement of Digital Annealer for 3-SAT

Quadratic Unconstrained Binary Optimization (QUBO) problems are NP-hard problems and many real-world problems can be formulated as QUBO. Currently there are no algorithms known that can solve arbitrary instances of NP-hard problems efficiently. Therefore special-purpose hardware such as Digital Annealer, other Ising machines, as well as quantum annealers might lead to benefits in solving such problems. We study a particularly hard class of problems which can be formulated as QUBOs, namely Boolean satisfiability (SAT) problems, and specifically 3-SAT. One intriguing aspect about 3-SAT problems is that there are different transformations from 3-SAT to QUBO. We study the transformations' influence on the problem solution, using Digital Annealer as a special-purpose solver. Besides well-known transformations we investigate a novel in this context not yet discussed transformation, using less auxiliary variables and leading to very good performance. Using exact diagonalization, we explain the differences in performance originating from the different transformations. We envision that this knowledge allows for specifically engineering transformations that improve a solvers capacity to find high quality solutions. Furthermore, we show that the Digital Annealer outperforms a quantum annealer in solving hard 3-SAT instances.Comment: 10 pages, 4 figure