Dr. Daniel Kaimann holds a postdoctoral position at the Faculty of Business Administration and Economics at the Paderborn University, Germany. His research focuses mainly on empirical studies and the analysis of signaling effects such as word-of-mouth, professional critic ratings, brand extension strategies, and consumer behavior studies in multiplayer online games. He is a member of the collaborative research center "On-The-Fly Computing" and winner and project manager of the 2014 Wharton Customer Analystics Initiative (WCAI) research opportunity "Measuring Skill Level and Optimizing Player-Matching Algorithms in Online Games". This research has been presented at several international academic conferences and research seminars (e.g. NBER, Marketing Science Conference or International Conference of the Association for Cultural Economics International (ACEI)) and published in leading academic journals (e.g. Journal of Consumer Behaviour and Applied Economics Letters).