Gekidō no jidai no kontentsu bijinesu sabaibaru gaido :: purattofōmā kara kaizoku kōi made oshiyoseru aranami o norikonasu tame ni /
激動の時代のコンテンツビジネス・サバイバルガイド : プラットフォーマーから海賊行為まで押し寄せる荒波を乗りこなすために /
"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...
Gespeichert in:
Hauptverfasser: | , |
---|---|
Weitere Verfasser: | |
Format: | Elektronisch E-Book |
Sprache: | Japanese English |
Veröffentlicht: |
Tōkyō :
Hakutō Shobō,
2019.
|
Schlagworte: | |
Online-Zugang: | Volltext |
Zusammenfassung: | "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 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."--Publisher's description |
Beschreibung: | 1 online resource (x, 265 pages) |
Bibliographie: | Includes bibliographical references and index. |
ISBN: | 9784561287292 4561287299 |
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adam_text | |
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author | Smith, Michael D., 1968- Telang, Rahul |
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illustrated | Illustrated |
indexdate | 2024-11-27T13:29:48Z |
institution | BVB |
isbn | 9784561287292 4561287299 |
language | Japanese English |
oclc_num | 1144496979 |
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publisher | Hakutō Shobō, |
record_format | marc |
spelling | Smith, Michael D., 1968- author. https://id.oclc.org/worldcat/entity/E39PCjMyKm3tH9rT6rVj3h4W9P http://id.loc.gov/authorities/names/n2016020174 Streaming, sharing, stealing. Japanese 880-01 Gekidō no jidai no kontentsu bijinesu sabaibaru gaido : purattofōmā kara kaizoku kōi made oshiyoseru aranami o norikonasu tame ni / Maikeru D. Sumisu & Rafuru Terangu cho ; Kobayashi Akihito yaku ; Yamamoto Ichirō kaisetsu. 880-02 Kontentsu bijinesu sabaibaru gaido 880-03 Tōkyō : Hakutō Shobō, 2019. ©2019 1 online resource (x, 265 pages) text txt rdacontent computer c rdamedia online resource cr rdacarrier Online resource; title from PDF title page (EBSCO, viewed March 18, 2020). Includes bibliographical references and index. 880-04 "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 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."--Publisher's description Streaming technology (Telecommunications) http://id.loc.gov/authorities/subjects/sh99000996 Data transmission systems. http://id.loc.gov/authorities/subjects/sh85035869 Big data. http://id.loc.gov/authorities/subjects/sh2012003227 Motion pictures. http://id.loc.gov/authorities/subjects/sh85088084 Webcasts as Topic https://id.nlm.nih.gov/mesh/D057211 Motion Pictures. En continu (Télécommunications) Données volumineuses. Cinéma. Big data fast Data transmission systems fast Motion pictures fast Streaming technology (Telecommunications) fast 880-05 Kontentsu bijinesu. jlabsh/4 Telang, Rahul, author. http://id.loc.gov/authorities/names/n2016013434 880-06 Kobayashi, Akihito, translator. Translation of: Smith, Michael D., 1968- Streaming, sharing, stealing. Cambridge, Massachusetts : MIT Press, [2016] 9780262034791 (DLC) 2015045807 (OCoLC)946160284 FWS01 ZDB-4-EBA FWS_PDA_EBA https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=2230315 Volltext 245-01/$1 激動の時代のコンテンツビジネス・サバイバルガイド : プラットフォーマーから海賊行為まで押し寄せる荒波を乗りこなすために / マイケル D. スミス & ラフル テラング著 ; 小林啓倫訳 ; 山本一郎解説. 246-02/$1 コンテンツビジネス・サバイバルガイド 264-03/$1 東京 : 白桃書房, 2019. 520-04/$1 "これまでのコンテンツビジネスの業界秩序を, 経済学的な視点で紐解き, プラットフォーマーがなぜ強い力を持てるのかを解説. エビデンスベースドで説得力がありつつ, 興味深い事例を豊富に取り上げる構成が洗練され, 一般の方にも読みやすい仕上がり."-- Provided by publisher 650-05/$1 コンテンツビジネス. jlabsh/4 758-00 has work: 激動の時代のコンテンツビジネス・サバイバルガイド (Text) https://id.oclc.org/worldcat/entity/E39PCFHcfGDhYjbf86gm8HpCHC https://id.oclc.org/worldcat/ontology/hasWork 700-06/$1 小林啓倫, translator. |
spellingShingle | Smith, Michael D., 1968- Telang, Rahul Gekidō no jidai no kontentsu bijinesu sabaibaru gaido : purattofōmā kara kaizoku kōi made oshiyoseru aranami o norikonasu tame ni / Streaming technology (Telecommunications) http://id.loc.gov/authorities/subjects/sh99000996 Data transmission systems. http://id.loc.gov/authorities/subjects/sh85035869 Big data. http://id.loc.gov/authorities/subjects/sh2012003227 Motion pictures. http://id.loc.gov/authorities/subjects/sh85088084 Webcasts as Topic https://id.nlm.nih.gov/mesh/D057211 Motion Pictures. En continu (Télécommunications) Données volumineuses. Cinéma. Big data fast Data transmission systems fast Motion pictures fast Streaming technology (Telecommunications) fast 880-05 Kontentsu bijinesu. jlabsh/4 |
subject_GND | http://id.loc.gov/authorities/subjects/sh99000996 http://id.loc.gov/authorities/subjects/sh85035869 http://id.loc.gov/authorities/subjects/sh2012003227 http://id.loc.gov/authorities/subjects/sh85088084 https://id.nlm.nih.gov/mesh/D057211 |
title | Gekidō no jidai no kontentsu bijinesu sabaibaru gaido : purattofōmā kara kaizoku kōi made oshiyoseru aranami o norikonasu tame ni / |
title_alt | Streaming, sharing, stealing. Kontentsu bijinesu sabaibaru gaido |
title_auth | Gekidō no jidai no kontentsu bijinesu sabaibaru gaido : purattofōmā kara kaizoku kōi made oshiyoseru aranami o norikonasu tame ni / |
title_exact_search | Gekidō no jidai no kontentsu bijinesu sabaibaru gaido : purattofōmā kara kaizoku kōi made oshiyoseru aranami o norikonasu tame ni / |
title_full | Gekidō no jidai no kontentsu bijinesu sabaibaru gaido : purattofōmā kara kaizoku kōi made oshiyoseru aranami o norikonasu tame ni / Maikeru D. Sumisu & Rafuru Terangu cho ; Kobayashi Akihito yaku ; Yamamoto Ichirō kaisetsu. |
title_fullStr | Gekidō no jidai no kontentsu bijinesu sabaibaru gaido : purattofōmā kara kaizoku kōi made oshiyoseru aranami o norikonasu tame ni / Maikeru D. Sumisu & Rafuru Terangu cho ; Kobayashi Akihito yaku ; Yamamoto Ichirō kaisetsu. |
title_full_unstemmed | Gekidō no jidai no kontentsu bijinesu sabaibaru gaido : purattofōmā kara kaizoku kōi made oshiyoseru aranami o norikonasu tame ni / Maikeru D. Sumisu & Rafuru Terangu cho ; Kobayashi Akihito yaku ; Yamamoto Ichirō kaisetsu. |
title_short | Gekidō no jidai no kontentsu bijinesu sabaibaru gaido : |
title_sort | gekido no jidai no kontentsu bijinesu sabaibaru gaido purattofoma kara kaizoku koi made oshiyoseru aranami o norikonasu tame ni |
title_sub | purattofōmā kara kaizoku kōi made oshiyoseru aranami o norikonasu tame ni / |
topic | Streaming technology (Telecommunications) http://id.loc.gov/authorities/subjects/sh99000996 Data transmission systems. http://id.loc.gov/authorities/subjects/sh85035869 Big data. http://id.loc.gov/authorities/subjects/sh2012003227 Motion pictures. http://id.loc.gov/authorities/subjects/sh85088084 Webcasts as Topic https://id.nlm.nih.gov/mesh/D057211 Motion Pictures. En continu (Télécommunications) Données volumineuses. Cinéma. Big data fast Data transmission systems fast Motion pictures fast Streaming technology (Telecommunications) fast 880-05 Kontentsu bijinesu. jlabsh/4 |
topic_facet | Streaming technology (Telecommunications) Data transmission systems. Big data. Motion pictures. Webcasts as Topic Motion Pictures. En continu (Télécommunications) Données volumineuses. Cinéma. Big data Data transmission systems Motion pictures Kontentsu bijinesu. |
url | https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=2230315 |
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