An agent-based model to study the market dynamics of perpetual and subscription licensing
This paper examines the market dynamics between two competing pricing strategies through an agent-based simulation model. Specifically, this study is inspired by the rising popularity of the subscription licensing strategy in software industry, which offers many advantages over the traditional fixed-fee perpetual licensing strategy. However, it remains unclear under what conditions a firm implementing the subscription licensing strategy will win the market over its competitors practising the fixed-fee perpetual licensing strategy. Using an agent-based model, we simulate two types of firms that are developing and selling two similar products or services to a fixed number of heterogeneous customers with the aforementioned two different pricing strategies. An individual customer chooses a product or service based on his or her own preference as well as the product’s price and performance. Firms spend a percentage of the accumulated revenue on research and development to improve the product or service’s performance. Simulation results suggest that there is a narrow window for the subscription licensing strategy to beat the traditional perpetual licensing strategy, especially when a large customer base is already established with the perpetual licensing strategy.
Year of publication: |
2015
|
---|---|
Authors: | Song, Zhe ; Zhang, Ziyuan ; Xu, Xiaolin ; Liu, Chunlin |
Published in: |
Journal of the Operational Research Society. - Palgrave Macmillan, ISSN 0160-5682. - Vol. 66.2015, 5, p. 845-857
|
Publisher: |
Palgrave Macmillan |
Saved in:
Online Resource
Saved in favorites
Similar items by person
-
An agent-based model to study the market dynamics of perpetual and subscription licensing
Song, Zhe, (2015)
-
A theoretical and empirical research on the mediating effect of internal entrepreneurial environment
Li, Qianwen, (2010)
-
A theoretical and empirical research on the mediating effect of internal entrepreneurial environment
Li, Qianwen, (2010)
- More ...