Who recommended Streaming, Sharing, Stealing?

2 people have recommended Streaming, Sharing, Stealing in the interviews, articles and reading lists we track, including Erik Brynjolfsson. Each name links to their full reading list.

Is Streaming, Sharing, Stealing worth reading?

2 people we track recommend it. It is best for: a product manager at a streaming startup trying to justify a binge-release vs episodic rollout — offers concrete arguments about viewer behavior and platform incentives to ground that case to leadership; a media-studies graduate student drafting a paper on industrial change in television — supplies industry examples and economic reasoning you can cite when contrasting old commissioning with approaches informed by platform metrics; a programming executive at a legacy cable network arguing budget priorities — lays out the economic logic behind hits, long-tail economics, and how platform data shifts commissioning risk. It may not suit: you'll likely put it down when the prose shifts into pricing models, piracy numbers, and economic mechanics — those middle sections are where attention often drops; annoying if you prefer lively profiles of creators or on-set storytelling rather than industry economics and platform strategy; lose interest if you want hands-on advice or practical how-to steps — the book explains incentives and outcomes but lacks step-by-step implementation guidance.

What books are like Streaming, Sharing, Stealing?

Readers of Streaming, Sharing, Stealing also turn to Accidental Presidents, Scale and Genome, based on the lists and recommenders these books share.

Streaming, Sharing, Stealing: Recommended by 2 People

Name: Streaming, Sharing, Stealing
Author: Michael D. Smith

Traditional network television Programming, has always followed the same script: executives approve a pilot, order a trial number of episodes, and broadcast them, expecting viewers to watch a given show on their television sets at the same time every week. But then came Netflix's "House of Cards." Netflix gauged the show's potential from data it had...