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Business Intelligence Challenges for Independent Game Publishing
University of Skövde, School of Informatics. University of Skövde, Informatics Research Environment. (Interaction Lab)ORCID iD: 0000-0001-6534-024X
University of Skövde, School of Informatics. University of Skövde, Informatics Research Environment. (Interaction Lab)ORCID iD: 0000-0001-9287-9507
University of Skövde, School of Informatics. University of Skövde, Informatics Research Environment. (Interaction Lab)ORCID iD: 0000-0002-9972-4716
2020 (English)In: International Journal of Computer Games Technology, ISSN 1687-7047, E-ISSN 1687-7055, Vol. 2020, p. 1-8, article id 5395187Article in journal (Refereed) Published
Abstract [en]

With the continuous development of the game industry, research in the game field is also deepening. Many interdisciplinary areas of knowledge and theory have been used to promote the development of the game industry. Business intelligence technologies have been applied to game development for game design and game optimization. However, few systematic research efforts have focused on the field of game publishing, particularly with regard to independent (indie) game publishing. In this paper, we analyse data collected from a set of interviews with small indie game developers. The results indicate that most of the indie game developers have already used business intelligence for game self-publishing, although three main challenges have been identified: first, how to conduct marketing promotion and improve the return on investment (ROI); second, how to collect game publishing data; and third, how to analyse the data in order to guide game self-publishing. Our interviews also reveal that the business model applied to a game significantly impacts the role of game analytics. The study expands and advances the research on how game analytics can be used for game publishing, particularly for indie game self-publishing.

Place, publisher, year, edition, pages
Hindawi Publishing Corporation, 2020. Vol. 2020, p. 1-8, article id 5395187
National Category
Computer Systems
Research subject
Interaction Lab (ILAB)
Identifiers
URN: urn:nbn:se:his:diva-18185DOI: 10.1155/2020/5395187ISI: 000510887600001Scopus ID: 2-s2.0-85079138803OAI: oai:DiVA.org:his-18185DiVA, id: diva2:1391436
Available from: 2020-02-04 Created: 2020-02-04 Last updated: 2020-02-20Bibliographically approved

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Su, YanhuiBacklund, PerEngström, Henrik

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