Description: Meisam Hejazi Nia is Doctoral Candidate in Big Data Analytics in Management Science.
Meisam Hejazi Nia is Doctoral Candidate in Big Data Analytics in Management Science at university of Texas at Dallas. His research interest includes studying digital and online markets. In particular he is interested in modeling dynamics of decision making and diffusion of innovation in open platforms and app-stores. To study these marketing phenomena, he uses Bayesian econometrics, structural modeling and Kalman Filtering methods.
Platform-mediated networks are ubiquitous in markets for digital goods such as PC operating systems, web browsers, mobile phones, video games, and search advertising, among others. Here platform owners (e.g., Apple, Google, Mozilla.org) may grant access to platforms, or open platforms (i.e. entrust the control of them) to third-party developers (e.g., content and application developers), who in turn build complementary products upon the platforms. Unlike regular markets, platform-based markets are often mul
View details for Presentation in Marketing Science Conferance 2014