Streaming, sharing, stealing : (Record no. 73483)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 03452nam a2200421 i 4500 |
| 001 - CONTROL NUMBER | |
| control field | 7862438 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20220712204901.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 170308s2016 mau ob 001 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 9780262335881 |
| -- | electronic |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| -- | electronic bk. |
| 082 04 - CLASSIFICATION NUMBER | |
| Call Number | 384.3/8 |
| 100 1# - AUTHOR NAME | |
| Author | Smith, Michael D., |
| 245 10 - TITLE STATEMENT | |
| Title | Streaming, sharing, stealing : |
| Sub Title | big data and the future of entertainment / |
| 300 ## - PHYSICAL DESCRIPTION | |
| Number of Pages | 1 PDF (232 pages). |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc | "[The authors explain] gently yet firmly exactly how the internet threatens established ways and what can and cannot be done about it. Their book should be required for anyone who wishes to believe that nothing much has changed." -- The Wall Street Journal"Packed with examples, from the nimble-footed who reacted quickly to adapt their businesses, to laggards who lost empires." -- Financial TimesTraditional 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 gathered about subscribers' preferences, ordered two seasons without seeing a pilot, and uploaded the first thirteen episodes all at once for viewers to watch whenever they wanted on the devices of their choice. In this book, Michael Smith and Rahul Telang, experts on entertainment analytics, show how the success of House of Cards upended the film and TV industries -- and how companies like Amazon and Apple are changing the rules in other entertainment industries, notably publishing and music. We're living through a period of unprecedented technological disruption in the entertainment industries. Just about everything is affected: pricing, production, distribution, piracy. Smith and Telang discuss niche products and the long tail, product differentiation, price discrimination, and incentives for users not to steal content. To survive and succeed, businesses have to adapt rapidly and creatively. Smith and Telang explain how.How can companies discover who their customers are, what they want, and how much they are willing to pay for it? Data. The entertainment industries, must learn to play a little "moneyball." The bottom line: follow the data. |
| 700 1# - AUTHOR 2 | |
| Author 2 | Telang, Rahul, |
| 856 42 - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | https://ieeexplore.ieee.org/xpl/bkabstractplus.jsp?bkn=7862438 |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | eBooks |
| 264 #1 - | |
| -- | Cambridge, Massachusetts : |
| -- | MIT Press, |
| -- | [2016] |
| 264 #2 - | |
| -- | [Piscataqay, New Jersey] : |
| -- | IEEE Xplore, |
| -- | [2016] |
| 336 ## - | |
| -- | text |
| -- | rdacontent |
| 337 ## - | |
| -- | electronic |
| -- | isbdmedia |
| 338 ## - | |
| -- | online resource |
| -- | rdacarrier |
| 588 ## - | |
| -- | Description based on PDF viewed 03/08/2017. |
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