Whatever happened to payola? An empirical analysis of online music sharing
The popularity of online music-sharing networks has attracted interest from the music industry, artists, consumer advocacy groups, the popular press, and government legislative and regulatory entities. P2P networks have become lightning rods for debates on intellectual property rights and music mark...
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Veröffentlicht in: | Decision Support Systems 2006-10, Vol.42 (1), p.104-120 |
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creator | Bhattacharjee, Sudip Gopal, Ram Lertwachara, Kaveepan Marsden, James R. |
description | The popularity of online music-sharing networks has attracted interest from the music industry, artists, consumer advocacy groups, the popular press, and government legislative and regulatory entities. P2P networks have become lightning rods for debates on intellectual property rights and music market fates. Yet, to date, little has been based on actual observed activity on online sharing networks. Here we report on an initial P2P network data gathering and analysis endeavor and relate it to market performance of music albums. The relative market performance of music albums is gauged using the list of top 100 albums on the weekly Billboard charts. The P2P sharing data gathered is longitudinal, spanning a period of 8 weeks. We also identify and track data for 47 upcoming album releases providing pre- and post-release comparisons of sharing activity. We offer four main findings:
(1)
significant piracy opportunity and activity were observed;
(2)
the level of sharing opportunities are related to albums' relative chart positions;
(3)
there is evidence of both “pre-purchase sampling” piracy and “lost-sales” piracy; and,
(4)
sharing activity levels provide leading indicators of direction of movement of albums on the Billboard charts.
Points (3) and (4) have particular implications for music marketing and promotion. |
doi_str_mv | 10.1016/j.dss.2004.11.001 |
format | Article |
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(1)
significant piracy opportunity and activity were observed;
(2)
the level of sharing opportunities are related to albums' relative chart positions;
(3)
there is evidence of both “pre-purchase sampling” piracy and “lost-sales” piracy; and,
(4)
sharing activity levels provide leading indicators of direction of movement of albums on the Billboard charts.
Points (3) and (4) have particular implications for music marketing and promotion.</description><identifier>ISSN: 0167-9236</identifier><identifier>EISSN: 1873-5797</identifier><identifier>DOI: 10.1016/j.dss.2004.11.001</identifier><identifier>CODEN: DSSYDK</identifier><language>eng</language><publisher>Amsterdam: Elsevier B.V</publisher><subject>Advertising ; Applied sciences ; Computer science; control theory; systems ; Computer systems and distributed systems. User interface ; Digital music ; Entertainment marketing ; Exact sciences and technology ; Firm modelling ; Intellectual property ; Internet marketing ; Music ; Music industry ; Online consumer behavior ; Online entertainment ; Operational research and scientific management ; Operational research. Management science ; Peer to peer computing ; Piracy ; Sampling ; Software ; Studies</subject><ispartof>Decision Support Systems, 2006-10, Vol.42 (1), p.104-120</ispartof><rights>2004 Elsevier B.V.</rights><rights>2007 INIST-CNRS</rights><rights>Copyright Elsevier Sequoia S.A. Oct 2006</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c428t-8196174e35962761097f3f92ff783623da2507d1012b01526351888f3ece04c93</citedby><cites>FETCH-LOGICAL-c428t-8196174e35962761097f3f92ff783623da2507d1012b01526351888f3ece04c93</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.dss.2004.11.001$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,780,784,3550,27924,27925,45995</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=18397267$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>Bhattacharjee, Sudip</creatorcontrib><creatorcontrib>Gopal, Ram</creatorcontrib><creatorcontrib>Lertwachara, Kaveepan</creatorcontrib><creatorcontrib>Marsden, James R.</creatorcontrib><title>Whatever happened to payola? An empirical analysis of online music sharing</title><title>Decision Support Systems</title><description>The popularity of online music-sharing networks has attracted interest from the music industry, artists, consumer advocacy groups, the popular press, and government legislative and regulatory entities. P2P networks have become lightning rods for debates on intellectual property rights and music market fates. Yet, to date, little has been based on actual observed activity on online sharing networks. Here we report on an initial P2P network data gathering and analysis endeavor and relate it to market performance of music albums. The relative market performance of music albums is gauged using the list of top 100 albums on the weekly Billboard charts. The P2P sharing data gathered is longitudinal, spanning a period of 8 weeks. We also identify and track data for 47 upcoming album releases providing pre- and post-release comparisons of sharing activity. We offer four main findings:
(1)
significant piracy opportunity and activity were observed;
(2)
the level of sharing opportunities are related to albums' relative chart positions;
(3)
there is evidence of both “pre-purchase sampling” piracy and “lost-sales” piracy; and,
(4)
sharing activity levels provide leading indicators of direction of movement of albums on the Billboard charts.
Points (3) and (4) have particular implications for music marketing and promotion.</description><subject>Advertising</subject><subject>Applied sciences</subject><subject>Computer science; control theory; systems</subject><subject>Computer systems and distributed systems. User interface</subject><subject>Digital music</subject><subject>Entertainment marketing</subject><subject>Exact sciences and technology</subject><subject>Firm modelling</subject><subject>Intellectual property</subject><subject>Internet marketing</subject><subject>Music</subject><subject>Music industry</subject><subject>Online consumer behavior</subject><subject>Online entertainment</subject><subject>Operational research and scientific management</subject><subject>Operational research. 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User interface</topic><topic>Digital music</topic><topic>Entertainment marketing</topic><topic>Exact sciences and technology</topic><topic>Firm modelling</topic><topic>Intellectual property</topic><topic>Internet marketing</topic><topic>Music</topic><topic>Music industry</topic><topic>Online consumer behavior</topic><topic>Online entertainment</topic><topic>Operational research and scientific management</topic><topic>Operational research. Management science</topic><topic>Peer to peer computing</topic><topic>Piracy</topic><topic>Sampling</topic><topic>Software</topic><topic>Studies</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Bhattacharjee, Sudip</creatorcontrib><creatorcontrib>Gopal, Ram</creatorcontrib><creatorcontrib>Lertwachara, Kaveepan</creatorcontrib><creatorcontrib>Marsden, James R.</creatorcontrib><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Technology Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><jtitle>Decision Support Systems</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Bhattacharjee, Sudip</au><au>Gopal, Ram</au><au>Lertwachara, Kaveepan</au><au>Marsden, James R.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Whatever happened to payola? An empirical analysis of online music sharing</atitle><jtitle>Decision Support Systems</jtitle><date>2006-10-01</date><risdate>2006</risdate><volume>42</volume><issue>1</issue><spage>104</spage><epage>120</epage><pages>104-120</pages><issn>0167-9236</issn><eissn>1873-5797</eissn><coden>DSSYDK</coden><abstract>The popularity of online music-sharing networks has attracted interest from the music industry, artists, consumer advocacy groups, the popular press, and government legislative and regulatory entities. P2P networks have become lightning rods for debates on intellectual property rights and music market fates. Yet, to date, little has been based on actual observed activity on online sharing networks. Here we report on an initial P2P network data gathering and analysis endeavor and relate it to market performance of music albums. The relative market performance of music albums is gauged using the list of top 100 albums on the weekly Billboard charts. The P2P sharing data gathered is longitudinal, spanning a period of 8 weeks. We also identify and track data for 47 upcoming album releases providing pre- and post-release comparisons of sharing activity. We offer four main findings:
(1)
significant piracy opportunity and activity were observed;
(2)
the level of sharing opportunities are related to albums' relative chart positions;
(3)
there is evidence of both “pre-purchase sampling” piracy and “lost-sales” piracy; and,
(4)
sharing activity levels provide leading indicators of direction of movement of albums on the Billboard charts.
Points (3) and (4) have particular implications for music marketing and promotion.</abstract><cop>Amsterdam</cop><pub>Elsevier B.V</pub><doi>10.1016/j.dss.2004.11.001</doi><tpages>17</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Advertising Applied sciences Computer science control theory systems Computer systems and distributed systems. User interface Digital music Entertainment marketing Exact sciences and technology Firm modelling Intellectual property Internet marketing Music Music industry Online consumer behavior Online entertainment Operational research and scientific management Operational research. Management science Peer to peer computing Piracy Sampling Software Studies |
title | Whatever happened to payola? An empirical analysis of online music sharing |
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