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Economic Benefits of Renting Software

Authors: Vidyanand Choudhary; Kerem Tomak; Alok R. Chaturvedi;

Economic Benefits of Renting Software

Abstract

In this article, we analyze the economics of a monopoly firm selling and renting a packaged software product by employing an intertemporal monopoly pricing game to model the firm's pricing strategy. The game models the software product as two versions; the first version is available in the first period and the second, a revised version, is available in the second period. The second version benefits from consumer reports of bugs and requests for additional features. This is modeled using delayed network externalities that take effect only in the second period. We observe that the introduction of the rental product in the first period leads to an increase in profits. We also find that the firm's profits are monotonically increasing with the intensity of the network effect. As the intensity of the network effect becomes stronger, the firm chooses to reduce its prices in the first period to expand the size of its network and later increases prices in the second period. Because many of the customers who choose...

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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
39
Top 10%
Top 10%
Average
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