An artist life cycle model for digital media content: Strategies for the Light Web and the Dark Web

  • Authors:

  • Tobias Regner;Javier A. Barria;Jeremy V. Pitt;Brendan Neville

  • Affiliations:

  • Max Planck Institute of Economics, Kahlaische Str. 10, 07745 Jena, Germany;Intelligent Systems and Networks Group, Department of Electrical and Electronic Engineering, Imperial College London, Exhibition Road, SW7 2BT London, United Kingdom;Intelligent Systems and Networks Group, Department of Electrical and Electronic Engineering, Imperial College London, Exhibition Road, SW7 2BT London, United Kingdom;Intelligent Systems and Networks Group, Department of Electrical and Electronic Engineering, Imperial College London, Exhibition Road, SW7 2BT London, United Kingdom

  • Venue:
  • Electronic Commerce Research and Applications
  • Year:
  • 2009

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Abstract

This paper surveys and categorizes emerging digital media business models. We apply the customer activity cycle of Vandermerwe (2000) to the consumption of digital media, taking three phases into account: pre-consumption, consumption and post-consumption. Our analysis of the business models focuses on their social costs and benefits. We derive the parameters as follows: convenience of use, exposure, ease of compliance and administration. We distinguish two polar environments for digital media: the Dark Web with content created by the masses, and the Light Web with content created by big media. We develop an artist life cycle model in which different business models appear to be optimal at different stages of an artist's career. Voluntary payment-based models seem to be ideal for newcomers in the Dark Web, while digital rights management-based and complementary product and service-basedmodels are the likely choice of established artists in the Light Web. Established artists might change their approach again, using voluntary payment-based or complementary product and service-based models when they retire.