"Customer Revenue Sharing and User Reward Programs in Online Social Med" by Fouad H. Mirzaei, Fredrik Odegaard et al.
 

Business Publications

Document Type

Article

Publication Date

1-2012

Volume

57

Issue

b

Journal

Omega

First Page

123

URL with Digital Object Identifier

https://doi.org/10.1016/j.omega.2015.02.007

Last Page

144

Abstract

Online social media (OSMs) have become a popular and growing phenomenon on the Internet, as exemplified by the millions of followers of websites like YouTube, Twitter and Facebook. Given the ease of access and high competition over the Internet to attract users, a question that arises is whether OSMs should develop revenue sharing programs and reward their contributing users. Aiming to expand market share and boost revenue, some OSMs recently have realized the influence of these programs in changing the outcome of their online competition. We model this competition by a duopoly game where users are either active or passive with respect to each OSM. We assume the OSMs are generally asymmetric, in that online users have a general preference for one. The game includes two steps: first, the OSMs simultaneously announce their rewards for active users, and second, users choose their level of contribution with respect to each OSM based on their preference. We show this game has a unique Nash equilibrium in pure strategies and specify how OSMs can derive the optimal reward payments. Our results include that, at equilibrium, no user will choose to contribute content exclusively to the less attractive OSM. In addition, we find that the more favourable OSM always receives a higher profit, even when it shares a lower reward. Based on numerical analysis, in most cases, the more favourable OSM shares a higher (lower) reward than the less favourable one, when the impact of active users’ contribution on OSMs revenue is small (high). Furthermore, we identify the conditions under which symmetric equilibrium exists despite the asymmetry between the OSMs.

Notes

This the authors' version of the paper published at https://doi.org/10.1016/j.omega.2015.02.007

Creative Commons License

Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.

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