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Deriving Value in Digital Media Networks
Miguel Morales-Arroyo, Ravi S Sharma
Pages - 126 - 137     |    Revised - 05-05-2009     |    Published - 18-05-2009
Volume - 3   Issue - 2    |    Publication Date - April 2009  Table of Contents
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KEYWORDS
digital economics, new media analysis, game theoretic modeling
ABSTRACT
This paper presents a framework for the analyzing revenue distribution in the delivery of digital content such as music, movies, games, books, and news. In such content delivery networks, there are various roles played by producers, consumers, syndicators, aggregators and distributors in the marketplace. We outline a framework for business modeling known as VISOR and adapt some ideas from game theory in order to investigate notions of efficiency and fairness in the digital media eco-system. This framework suggests that the revenue distribution within a business model is determined by the range between producers’ cost of production and consumers’ willingness to pay. The allocation of these revenues among the players is in turn determined by their value capacity which is a function of the interface for content, service platform, organizing model and revenue streams. The game-theoretic notions of fairness and efficiency are introduced as a strategy for stability in the workplace. The paper concludes that stability is the key to derivative value in a digital media network.
CITED BY (8)  
1 Stephanie, F. L., & Sharma, R. S. (2016). Health on a Cloud: Modeling Digital Flows in an E-health Ecosystem. Journal of Advances in Management Sciences & Information Systems, 2, 1-20.
2 McIntosh, H. (2015). Vevo and the Business of Online Music Video Distribution. Popular Music and Society, (ahead-of-print), 1-14.
3 Black, J. (2013). On the derivation of value from geospatial linked data (Doctoral dissertation, University of Southampton).
4 Tan, M., & Morales-Arroyo, M. (2013). Understanding distributional disruptions in the Interactive Digital Media eco-system. International Journal of Electronic Business, 11(1), 42-62.
5 Wong, R. K. (2013). Feasibility and a case study on content optimization services on cloud. Information Systems Frontiers, 15(4), 525-532.
6 Wong, R. K. (2012, June). The Economics of Content Optimization Services. In Services Economics (SE), 2012 IEEE First International Conference on (pp. 9-15). IEEE.
7 Sharma, R. (2011). Towards a Strategic Tool for the Business Modeling of IDM Startups-Implementing the Advisor Framework. International Journal of Applied Engineering and Technology (Online), 1(1).
8 Ravi S. Sharma, “Towards a Strategic Tool for the Business Modeling of IDM Startups - Implementing the Advisor Framework”, International Journal of Applied Engineering and Technology, 1 (1), pp.68-79, 2011.
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Dr. Miguel Morales-Arroyo
NTU - Singapore
Assistant Professor Ravi S Sharma
- Singapore
asrsharma@ntu.edu.sg