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Game Analytics Research: Status and Trends
University of Skövde, School of Informatics. University of Skövde, Informatics Research Environment. Interaction Lab. (Interaction Lab (ILAB))ORCID iD: 0000-0002-7242-4318
2019 (English)In: Advances in E-Business Engineering for Ubiquitous Computing: Proceedings of the 16th International Conference on e-Business Engineering (ICEBE 2019) / [ed] Kuo-Ming Chao, Lihong Jiang, Omar Khadeer Hussain, Shang-Pin Ma, Xiang Fei, Cham: Springer, 2019, Vol. 41, p. 572-589Conference paper, Published paper (Refereed)
Abstract [en]

This paper aims to perform a systematic literature review of the business intelligence used in the game industry which mainly focuses on the game analytics side. First, according to the game industry value chain, a review identifying and classifying the relevant papers which had been published, exploring them systematically to extract similarities and status. Results show how game analytics can be used in the game industry, with player analytics, game development analytics, game publishing analytics and also channel analytics. Second, considering the business intelligence problems or potential challenges in the game industry, how game analytics can help to solve that also be discussed. Third, as recent game analytics research is highly fragmented and the underexplored areas, especially for the potential research gaps and trends are also explored. The main contribution of this paper includes giving a clear and reasonable classification based on the game industry value chain about game analytics and making a detailed overview of current research status and also discussing the potential trends as the baseline for future research.

Place, publisher, year, edition, pages
Cham: Springer, 2019. Vol. 41, p. 572-589
Series
Lecture Notes on Data Engineering and Communications Technologies, ISSN 2367-4512, E-ISSN 2367-4520 ; 41
Keywords [en]
Business Intelligence, Game Analytics, Game Value Chain, Game Metrics, Retention, Prediction
National Category
Computer and Information Sciences
Research subject
Interaction Lab (ILAB)
Identifiers
URN: urn:nbn:se:his:diva-18141DOI: 10.1007/978-3-030-34986-8_40ISI: 000613107200040Scopus ID: 2-s2.0-85083460708ISBN: 978-3-030-34985-1 (print)ISBN: 978-3-030-34986-8 (electronic)OAI: oai:DiVA.org:his-18141DiVA, id: diva2:1386620
Conference
16th International Conference on e-Business Engineering (ICEBE 2019), Shanghai, China, 11–13 October, 2019
Available from: 2020-01-18 Created: 2020-01-18 Last updated: 2023-06-02Bibliographically approved

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Su, Yanhui

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