Abstract
The study of user download behavior and its influencing factors will contribute to a deep understanding of the application stores and provide some practical guide to the operation of application stores. Based the classic RFM model and the actual situation of the application stores, this paper develops the TDRFM model to describe the application stores’ user download behavior. We use the K-means clustering and Group Decision Making method based the behavioral indicators and obtains four user types: the high-value uses, general-value users, loss user. Then, we study the impact of the system upgrade and the product attributes to users’ download behavior by using the statistical analysis. The results show that the application store upgrade has no significant impact on the high-value users while have a significant effect on the general-value and potential-value users download behavior. The impact of application type, development type price, review and application size on users has been verified. This paper provides a method of studying user behavior in application stores.
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© 2014 Springer-Verlag Berlin Heidelberg
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He, C., Shu, W., Du, D. (2014). The Study of User Download Behavior in Application Stores and Its Influencing Factors. In: Xu, J., Fry, J., Lev, B., Hajiyev, A. (eds) Proceedings of the Seventh International Conference on Management Science and Engineering Management. Lecture Notes in Electrical Engineering, vol 241. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-40078-0_14
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DOI: https://doi.org/10.1007/978-3-642-40078-0_14
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