Event Modelling for Policymakers & Valuation Analysts In Disruptive Innovation Markets

Burns, Alex (2008) Event Modelling for Policymakers & Valuation Analysts In Disruptive Innovation Markets. In: Communications Policy Research Forum 2008, 29-30 September 2008, University of Technology, Sydney.


Using a 'paired' study, this paper examines why the musicians Radiohead and Nine Inch Nails pursued digital download strategies for their albums In Rainbows (2007) and The Slip (2008). Three explanations at the time (Web 2.0, Chris Anderson's Freeconomics, Scott Anthony's Disruptive Innovation Theory) are evaluated. The paper sketches Disruptive Innovation Markets as a conceptual framework and Disruptive Information Revelation as a process of inductive logic for analysts. The 'paired' study finds other variables not discussed: career arcs, major label contracts, musician control over marketing and risk management, and digital media as a new option during negotiations for new recording deals. Significantly, the three earlier explanations overlooked the musicians' negative experiences after Terra Firma Capital Partners and Vivendi SA acquired their major labels EMI and UMG. Further research opportunities and implications for journalists, policymakers and valuation analysts are discussed.

Item type Conference or Workshop Item (Paper)
URI https://vuir.vu.edu.au/id/eprint/1948
Official URL http://networkinsight.org/verve/_resources/Record_...
ISBN 978-0-9804344-1-5
Subjects Historical > RFCD Classification > 410000 The Arts
Historical > RFCD Classification > 340000 Economics
Historical > RFCD Classification > 360000 Policy and Political Science
Historical > RFCD Classification > 220000 Social Sciences, Humanities and Arts-General
Historical > RFCD Classification > 400000 Journalism, Librarianship and Curatorial Studies
Keywords disruptive innovation, event modelling, information revelation, mergers & acquisitions, M&A, Radiohead, Nine Inch Nails, Web 2.0, Freeconomics, Chris Anderson, Scott Anthony
Download/View statistics View download statistics for this item

Search Google Scholar

Repository staff login