How the DOJ’s Attempt to Block the AT&T-Time Warner Merger Could Backfire
By Rahul Telang & Michael D. Smith, Carnegie Mellon University
Why one of the biggest anti-trust cases in years is going after the wrong target.
Disciplines:
BusinessMichael D. Smith is a Professor of Information Systems and Marketing and the Co-Director of IDEA, the Initiative for Digital Entertainment Analytics, at Carnegie Mellon University’s Heinz College. He received a B.S. in Electrical Engineering and an M.S. in Telecommunications Science from the University of Maryland, and received a Ph.D. in Management Science from the Sloan School of Management at MIT.
Professor Smith’s research uses economic and statistical techniques to analyze firm and consumer behavior in online markets — specifically markets for digital information and digital media products. His research in this area has been published in leading management science, economics, and marketing journals; published in top professional journals including The Harvard Business Review and The Sloan Management Review; and covered by press outlets including The Economist, The Wall Street Journal, The New York Times, Wired and Business Week. He is the coauthor of the book Streaming, Sharing, Stealing: Big Data and the Future of Entertainment (MIT Press, 2016).
By Rahul Telang & Michael D. Smith, Carnegie Mellon University
Why one of the biggest anti-trust cases in years is going after the wrong target.
By Michael D. Smith & Rahul Telang, Carnegie Mellon University
Are data-driven entertainment platforms turning art into a numbers game or giving high-quality entertainment a place to shine? It all comes down to how companies like Netflix use their data.
A secure, centralized workspace where faculty upload notes, papers, and lecture materials—and instantly receive clear, accurate, publication-ready drafts across formats: op-eds, research briefs, executive summaries, pitches, public commentary, and more.
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