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International Journal of Human-Computer Studies
Volume 65, Issue 1, January 2007, Pages 85-93
Information security in the knowledge economy
 
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doi:10.1016/j.ijhcs.2006.08.004    How to Cite or Link Using DOI (Opens New Window)
Copyright © 2006 Elsevier Ltd All rights reserved.

Stochastic dynamics of music album lifecycle: An analysis of the new market landscape

Sudip Bhattacharjeea, Corresponding Author Contact Information, E-mail The Corresponding Author, Ram D. Gopala, E-mail The Corresponding Author, Kaveepan Lertwacharab, E-mail The Corresponding Author and James R. Marsdena, E-mail The Corresponding Author

aDepartment of Operations and Information Management, School of Business, University of Connecticut, 2100 Hillside Road, Unit 1041 IM, Storrs, CT 06269-1041, USA bOrfalea College of Business, California Polytechnic State University, San Luis Obispo, CA 93407, USA

Available online 6 October 2006.

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Abstract

The rapid emergence of file sharing networks has enabled easier information dissemination and product access to potential consumers. At the same time, copyright protection technologies for securing digital products have been compromised repeatedly. To analyze the ensuing impacts on the market landscape for music products (a digital good), we develop a stochastic model of distribution of music album longevity on the Billboard Chart. We find that since the advent of file sharing networks and other market forces (such as legal changes in copyright laws, introduction of digital rights management systems and legitimate online music download offerings), the lifecycle of music albums has shortened with lowered probabilities of survival for each week. While the probability of survival past the first week is markedly lower, the future portends well for albums that do survive on the charts beyond the first week. This is consistent with the rapid diffusion of information on music albums in the changed market landscape. Integrating this insight with user activity on online computer networks, we estimate the continued success of albums on the charts. This analysis helps to create a more dynamic decision process on resource allocation to promote and market music products. Using the robust stochastic model parameters as a benchmark, we estimate a logistic regression model which helps us make quality decisions in an uncertain environment through early monitoring of the success of music albums.

Keywords: Lifecycle; Intellectual property rights; Ranking chart

Article Outline

1. Introduction
2. The landscape—rankings and survival longevity
3. The stochastic model of survival
4. Data and stochastic model estimation
5. Decision making incorporating online user behavior
6. Summary and conclusion
Acknowledgements
Appendix A. Steady-state characterization of the stochastic process
References


International Journal of Human-Computer Studies
Volume 65, Issue 1, January 2007, Pages 85-93
Information security in the knowledge economy
 
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