Article ID: | iaor2017752 |
Volume: | 48 |
Issue: | 1 |
Start Page Number: | 150 |
End Page Number: | 175 |
Publication Date: | Feb 2017 |
Journal: | Decision Sciences |
Authors: | Nilakanta Sree, Jiang Zhengrui, Scheibe Kevin P, Qu Xinxue (Shawn) |
Keywords: | marketing, decision, economics, testing |
A growing number of software firms now rely on public beta testing to improve the quality of their products before commercial release. While the benefits resulting from improved software reliability are well recognized, some important market‐related benefits have not been studied. Through word‐of‐mouth, public beta testers can accelerate the diffusion of a software product after its release. Additionally, because of network effects, public beta testers can increase users’ valuation of a product. In this study, we consider both reliability‐related and market‐related benefits, and develop models to determine the optimal number of public beta testers and the optimal duration of testing. Our analyses show that public beta testing can be profitable even if word‐of‐mouth and network effects are the only benefits. Furthermore, when both benefits are considered, there is significant ‘economies of scope’–the net profit increases at a faster rate when both word‐of‐mouth and network effects are significant than when only one benefit is present. Finally, our sensitivity analyses demonstrate that public beta testing remains highly valuable to software firms over a wide range of testing and market conditions. In particular, firms will realize greater profits when recruiting public beta testers who are interested in the software but unable to afford it.