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Assessing the economic effects of server launches in free-to-play MMO games

Author

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  • Sebastian Voigt

    (Technische Universität Darmstadt)

  • Oliver Hinz

    (Technische Universität Darmstadt)

Abstract

In MMO (massively multi-player online) games, the interaction among thousands of players can produce both positive and negative network effects. It is therefore crucial for a company managing MMO games to establish how the entire user base should be distributed across different game instances (‘servers’) in order to optimize the players’ game experience and, ultimately, the company’s revenues. While splitting the user base onto different game servers is a common measure in the industry, there is a conspicuous lack of clear guidelines as to when launching new game servers would be advisable. Our work notably fills this gap: for a popular MMO real-time strategy game, our counterfactual simulation shows that a division of the user base across different game servers can lead to additional revenues if implemented at the right time. For the game in focus, our results indicate that launching multiple new game servers would be beneficial in terms of revenue when the game was new, and additional servers every 90–120 days when it was in decline.

Suggested Citation

  • Sebastian Voigt & Oliver Hinz, 2017. "Assessing the economic effects of server launches in free-to-play MMO games," Journal of Business Economics, Springer, vol. 87(4), pages 421-464, May.
  • Handle: RePEc:spr:jbecon:v:87:y:2017:i:4:d:10.1007_s11573-016-0825-5
    DOI: 10.1007/s11573-016-0825-5
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    More about this item

    Keywords

    Free-to-play MMO gaming; Network effects; Server launch strategy; Counterfactual simulation; Revenue forecasting;
    All these keywords.

    JEL classification:

    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • C55 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Large Data Sets: Modeling and Analysis

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