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  • 1.
    Su, Yanhui
    University of Skövde, School of Informatics. University of Skövde, The Informatics Research Centre.
    Data-driven Model for Mobile Game Self-publishing2019In: 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 (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.

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  • 2.
    Su, Yanhui
    University of Skövde, School of Informatics. University of Skövde, The Informatics Research Centre.
    Game Analytics for Indie Game Self-Publishing: A Data-Driven Model for Indie Mobile Game Self-Publishing2019Report (Other academic)
    Abstract [en]

    The main goal of my Ph.D. research is to create a new model for how game analytics effectively can guide indie game developers’ decision making. This new model mainly focuses on supporting indie mobile game self-publishing and covers the whole mobile game publishing process. As our model is based on game data collection and data analysis, it is termed a data-driven model for mobile game self-publishing.

    With the appearance of smart mobile devices, the traditional game value chain has evolved into the new mobile game value chain. The mobile game value chain refers to a new situation where a game developer can publish mobile games directly through distribution channels such as Google Play and App Store. It makes game developer self-publishing possible. In addition, as more and more mobile games appear, we also see an increasing number of independent (indie) game development studios. Many indie game studios are good at game development, but most lack experience in game self-publishing. They do not know how user acquisition works and how to transfer users into loyal and also paying players.

    My research will focus on the main points of mobile game self-publishing for indie game developers. Through interviews with indie game developers, I will find out their main challenges with self-publishing. Based on the identified needs, I will set up a new model. Our model will cover the whole process of game publishing including Soft launch, Global launch, and Online Services. This new model will be based on game analytics and will guide the decision-making of mobile game self-publishing.

    The main contribution of this research is based on the game industry value chain evolution and also the indie game interviews, to identify key issues for indie game developers mobile game self-publishing, then to propose a new model for guiding the whole indie mobile game self-publishing process.

  • 3.
    Su, Yanhui
    University of Skövde, School of Informatics. University of Skövde, Informatics Research Environment. Interaction Lab.
    Game Analytics Research: Status and Trends2019In: 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 (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.

  • 4.
    Su, Yanhui
    et al.
    University of Skövde, School of Informatics. University of Skövde, Informatics Research Environment.
    Backlund, Per
    University of Skövde, School of Informatics. University of Skövde, Informatics Research Environment.
    Engström, Henrik
    University of Skövde, School of Informatics. University of Skövde, Informatics Research Environment.
    Business Intelligence Challenges for Independent Game Publishing2020In: International Journal of Computer Games Technology, ISSN 1687-7047, E-ISSN 1687-7055, Vol. 2020, p. 1-8, article id 5395187Article in journal (Refereed)
    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.

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    fulltext
  • 5.
    Su, Yanhui
    et al.
    University of Skövde, School of Informatics. University of Skövde, The Informatics Research Centre.
    Backlund, Per
    University of Skövde, School of Informatics. University of Skövde, The Informatics Research Centre.
    Engström, Henrik
    University of Skövde, School of Informatics. University of Skövde, The Informatics Research Centre.
    Strand, Mattias
    University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre.
    The Fish Tank Model for Mobile Game Publishing Business Performance Evaluation2019In: Information Systems Development: Information Systems Beyond 2020: ISD2019 Proceedings / [ed] A Siarheyeva, C Barry, M Lang, H Linger, C Schneider, Toulon, France: ISEN Yncréa Méditerranée , 2019Conference 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.

1 - 5 of 5
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