This paper uses modified economic growth theory to compare and contrast two currently available ways of digital content distribution: the client-server model and the peer-to-peer (P2P) model. We describe a monopolistic pricing scheme for distributing digital content over P2P networks that rewards peer users who actively participate in the distribution process. Our results show that digital distribution through a P2P network is more profitable and more efficient than in the corresponding client-server setting, if the pricing mechanism used provides strong incentives to users to share content. The basic results hold when the model is extended to include time-variant preferences across generations of consumers, and when the monopolist performs price discrimination based on generations. Some practical implications from the theoretical analysis are also discussed.
We describe the emerging competition between music companies and their star acts and the role of online distribution in this industry. We then contrast this with the lack of competition newspapers will face from their reporters, writers, and photographers, but identify other possible competitors for newspaper publishers. We examine what resources have previously enabled record companies to lock in their star acts and ways in which technology has altered artists' abilities to reach the market independently and thus their dependency upon record companies. We examine which resources have seen their value eroded in the newspaper industry and the remaining value that the newspaper company still creates, other than building stories, adding advertising, and printing and selling the papers. We consider what part of the newspaper business is vulnerable, if any, and where threats may arise. We combine the resource-based view of competitive advantage to examine which industry may have become newly easy to enter, and the theory of newly vulnerable markets to assess which industry may actually have become vulnerable as a result. Our analyses are then used to create a computer simulation model to make the implications more explicit under a range of assumptions.