Market Intelligence in Hypercompetitive Mobile Platform Ecosystems: A Pricing Strategy

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• 作者：Hoang D. Nguyen (16)
  Kajanan Sangaralingam (16)
  Danny Chiang Choon Poo (16)
  
• 关键词：mobile apps ; big data ; ranking ; pricing ; power law ; earning per download
• 刊名：Lecture Notes in Computer Science
• 出版年：2014
• 出版时间：2014
• 年：2014
• 卷：8527
• 期：1
• 页码：350-359
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• 作者单位：Hoang D. Nguyen (16)
  Kajanan Sangaralingam (16)
  Danny Chiang Choon Poo (16)
  
  16. Department of Information Systems, National University of Singapore, Singapore
  
• ISSN：1611-3349

文摘

The recent years have seen a spurt of mobile developers in hypercompetitive mobile platform ecosystems. Yet, this is an unfair game where platform owners such as Apple, Google or Microsoft fence the information of their app store as top secrets. Our study, therefore, takes an important step in investigating the structure of rankings and sales revenue through 2,761 paid applications with weekly aggregated 32,109 observations to unveil a new indicator of market intelligence, earning per download. With the consideration of category effects, time effects and endogenity issues, our empirical results show that top-ranked paid apps can earn up to $7.80 per download. Our findings generate a number of insights for app developers to take actions in designing highly-ranked apps as well as manipulating prices, promotions or in-app purchases in order to unlock the full potential of their app sales.