![[Review] Streaming, Sharing, Stealing: Big Data and the Future of Entertainment (Michael D. Smith) Summarized.](https://episodes.castos.com/660078c6833215-59505987/images/2685689/c1a-085k3-0vv7j808ijn5-avkblb.jpg)
Show Notes
Streaming, Sharing, Stealing: Big Data and the Future of Entertainment (Michael D. Smith)
- Amazon USA Store: https://www.amazon.com/dp/0262034794?tag=9natree-20
- Amazon Worldwide Store: https://global.buys.trade/Streaming%2C-Sharing%2C-Stealing%3A-Big-Data-and-the-Future-of-Entertainment-Michael-D-Smith.html
- Apple Books: https://books.apple.com/us/audiobook/streaming-sharing-stealing-big-data-and-the/id1172549222?itsct=books_box_link&itscg=30200&ls=1&at=1001l3bAw&ct=9natree
- eBay: https://www.ebay.com/sch/i.html?_nkw=Streaming+Sharing+Stealing+Big+Data+and+the+Future+of+Entertainment+Michael+D+Smith+&mkcid=1&mkrid=711-53200-19255-0&siteid=0&campid=5339060787&customid=9natree&toolid=10001&mkevt=1
- Read more: https://english.9natree.com/read/0262034794/
#Entertainmentanalytics #Streamingplatforms #Longtaildemand #Digitalpricediscrimination #Onlinepiracy #StreamingSharingStealing
Streaming, Sharing, Stealing: Big Data and the Future of Entertainment is a 2016 nonfiction analysis by Michael D. Smith and Rahul Telang, scholars of information systems, marketing, and entertainment economics. The book examines how internet distribution, digital platforms, and consumer data altered the economics of television, film, music, and publishing. Its purpose is not simply to celebrate streaming services or condemn piracy. Instead, it assesses how established creative businesses made decisions under technological change, often relying on inherited assumptions rather than evidence about actual customer behavior. Smith and Telang use research, industry examples, and economic reasoning to explain why firms such as Netflix, Amazon, Apple, and Spotify gained strategic influence. They address content discovery, the long tail, differentiated products, pricing, platform competition, and unauthorized copying. A central claim is that abundant behavioral data can improve decisions about what to produce, how to distribute it, and what customers may pay. The book consequently treats entertainment as both a cultural sector and a data-intensive market, where adaptation depends on testing assumptions rather than defending older distribution systems.
- Amazon USA Store: https://www.amazon.com/dp/0262034794?tag=9natree-20
- Amazon Worldwide Store: https://global.buys.trade/Streaming%2C-Sharing%2C-Stealing%3A-Big-Data-and-the-Future-of-Entertainment-Michael-D-Smith.html
- Apple Books: https://books.apple.com/us/audiobook/streaming-sharing-stealing-big-data-and-the/id1172549222?itsct=books_box_link&itscg=30200&ls=1&at=1001l3bAw&ct=9natree
- eBay: https://www.ebay.com/sch/i.html?_nkw=Streaming+Sharing+Stealing+Big+Data+and+the+Future+of+Entertainment+Michael+D+Smith+&mkcid=1&mkrid=711-53200-19255-0&siteid=0&campid=5339060787&customid=9natree&toolid=10001&mkevt=1
- Read more: https://english.9natree.com/read/0262034794/
#Entertainmentanalytics #Streamingplatforms #Longtaildemand #Digitalpricediscrimination #Onlinepiracy #StreamingSharingStealing
Streaming, Sharing, Stealing: Big Data and the Future of Entertainment is a 2016 nonfiction analysis by Michael D. Smith and Rahul Telang, scholars of information systems, marketing, and entertainment economics. The book examines how internet distribution, digital platforms, and consumer data altered the economics of television, film, music, and publishing. Its purpose is not simply to celebrate streaming services or condemn piracy. Instead, it assesses how established creative businesses made decisions under technological change, often relying on inherited assumptions rather than evidence about actual customer behavior. Smith and Telang use research, industry examples, and economic reasoning to explain why firms such as Netflix, Amazon, Apple, and Spotify gained strategic influence. They address content discovery, the long tail, differentiated products, pricing, platform competition, and unauthorized copying. A central claim is that abundant behavioral data can improve decisions about what to produce, how to distribute it, and what customers may pay. The book consequently treats entertainment as both a cultural sector and a data-intensive market, where adaptation depends on testing assumptions rather than defending older distribution systems.
