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Data-driven Model for Mobile Game Self-publishing
University of Skövde, School of Informatics. University of Skövde, The Informatics Research Centre. (Interaction Lab (ILAB))ORCID iD: 0000-0001-6534-024X
2019 (English)In: BIR-WS 2019, BIR 2019 Workshops and Doctoral Consortium: Joint Proceedings of the BIR 2019 Workshops and Doctoral Consortiumco-located with 18th International Conference on Perspectives in Business Informatics Research (BIR 2019) / [ed] Raimundas Matulevičius, Robert Buchmann, Václav Řepa, Marite Kirikova, Kurt Sandkuhl, Małgorzata Pańkowska, Rheinisch-Westfaelische Technische Hochschule Aachen * Lehrstuhl Informatik V , 2019, Vol. 2443, p. 189-199Conference paper, Published paper (Refereed)
Abstract [en]

The emergence of new game value chains makes game developer self-publishing possible, but how they conduct the game self-publishing business is unknown. Besides this, business intelligence has been applied in game development for game design and optimization, but few systematic research efforts are focusing on game publishing, especially on mobile game self-publishing. In this paper, a research proposal for adopting a data-driven model to conduct mobile game self-publishing is proposed. My Ph.D. research aims to identify and remedy the main problems faced by game developers during mobile game self-publishing then introduce a brand-new model to support the whole process of mobile game publishing which combines analysis of player's behavior with in-game system data. The main contribution is based on the survey of business intelligence used in the game area and also the interviews, to identify the key issues for self-publishing and then, to propose a research effort leading to a new data-driven model for mobile game self-publishing, primarily targeting independent (indie) game developers.

Place, publisher, year, edition, pages
Rheinisch-Westfaelische Technische Hochschule Aachen * Lehrstuhl Informatik V , 2019. Vol. 2443, p. 189-199
Series
CEUR Workshop Proceedings, E-ISSN 1613-0073 ; 2443
Keywords [en]
Business Intelligence, Data-driven, Game Analytics, Game Metrics, Inde-pendent Game Developer, Game Self-publishing
National Category
Other Computer and Information Science
Research subject
Interaction Lab (ILAB)
Identifiers
URN: urn:nbn:se:his:diva-17730OAI: oai:DiVA.org:his-17730DiVA, id: diva2:1355189
Conference
BIR 2019 Workshops and Doctoral Consortium co-located with 18th International Conference on Perspectives in Business Informatics Research (BIR 2019), Katowice, Poland, September 23-25, 2019
Note

BIR 2019 Doctoral Consortium

Available from: 2019-09-27 Created: 2019-09-27 Last updated: 2019-11-08Bibliographically approved

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Su, Yanhui

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Citation style
  • apa
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Output format
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