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The Fish Tank Model for Mobile Game Publishing Business Performance Evaluation
University of Skövde, School of Informatics. University of Skövde, The Informatics Research Centre. (Interaction Lab (ILAB))ORCID iD: 0000-0001-6534-024X
University of Skövde, School of Informatics. University of Skövde, The Informatics Research Centre. (Interaction Lab (ILAB))ORCID iD: 0000-0001-9287-9507
University of Skövde, School of Informatics. University of Skövde, The Informatics Research Centre. (Interaction Lab (ILAB))ORCID iD: 0000-0002-9972-4716
University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre. (Produktion och automatiseringsteknik, Production and Automation Engineering)
2019 (English)Conference paper, Published paper (Refereed)
Abstract [en]

Business intelligence has been applied in the area of game development research for many years. However, few systematic research efforts are focusing on the game publishing side, especially for the mobile game publishing business. We aim to identify and remedy the shortcomings of the existing ARM funnel model for free-to-play mobile game analytics by introducing a new model, the Fish Tank Model, which combines the analysis of players’ behavior with in-game system data to drive the whole process of mobile game publishing. Based on the new model, we also bring and create relevant metrics for effectively measuring the business performance of mobile game publishing. Our main contributions are a survey of business intelligence used in game research and an analysis to reveal the insufficiency of an existing model for game publishing. Finally, we discuss business requirements for mobile game publishing and propose a brand-new model which better suits the free-to-play mobile game publishing business performance evaluation.

Place, publisher, year, edition, pages
2019.
Keywords [en]
Business Intelligence, Game Analytics, Game Publishing, Game Metrics, Model-driven.
National Category
Other Computer and Information Science
Research subject
Interaction Lab (ILAB)
Identifiers
URN: urn:nbn:se:his:diva-17729OAI: oai:DiVA.org:his-17729DiVA, id: diva2:1355176
Conference
The 28th International Conference on Information Systems Development (ISD2019), Toulon, France, August 28-30, 2019
Available from: 2019-09-27 Created: 2019-09-27 Last updated: 2019-11-07

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Su, YanhuiBacklund, PerEngström, HenrikStrand, Mattias

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CiteExportLink to record
Permanent link

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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf