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The impact of user-generated content authorization on demand in the game industry

Author

Listed:
  • Hidetaka Oshima

    (International University of Japan)

  • Shinichi Yamaguchi

    (International University of Japan)

Abstract

The expansion of information exchanges via social media among consumers has dramatically changed the consumer purchasing process. We empirically analyze how user-generated content (UGC) authorization impacts the demand for Japanese video games. There are three important evolutionary points to consider. First, we focus on the gaming industry, under-researched yet seeing increased engagement with UGC, where gameplay authorization surged from 0.20 in 2017 to 0.55 in 2021. Second, we use a structural demand model that explicitly incorporates whether there is authorization or non-authorization of gameplay. Third, we estimate the heterogeneity of goods using BLP with a two-step nested logit model. As a result, the publishing and official authorization of gameplay guidelines are shown to have a significant positive impact on the sales of video game software, with a change in the demand structure for game software in 2021. Distinctively, genre classification (upper nest) and gameplay authorization status (lower nest) were significant, with the former outweighing the latter. This indicates a consumer’s propensity to select a game genre prior to seeking gameplay information, with gameplay authorization status subsequently impacting interest levels and final game choice.

Suggested Citation

  • Hidetaka Oshima & Shinichi Yamaguchi, 2023. "The impact of user-generated content authorization on demand in the game industry," SN Business & Economics, Springer, vol. 3(11), pages 1-26, November.
    • Handle: RePEc:spr:snbeco:v:3:y:2023:i:11:d:10.1007_s43546-023-00573-7
    DOI: 10.1007/s43546-023-00573-7
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    References listed on IDEAS

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    1. Hansen, Lars Peter, 1982. "Large Sample Properties of Generalized Method of Moments Estimators," Econometrica, Econometric Society, vol. 50(4), pages 1029-1054, July.
    2. Bourreau, Marc & Doğan, Pınar & Hong, Sounman, 2015. "Making money by giving it for free: Radiohead’s pre-release strategy for In Rainbows," Information Economics and Policy, Elsevier, vol. 32(C), pages 77-93.
    3. Aguiar, Luis & Waldfogel, Joel, 2018. "As streaming reaches flood stage, does it stimulate or depress music sales?," International Journal of Industrial Organization, Elsevier, vol. 57(C), pages 278-307.
    4. Godefroy Nguyen & Sylvain Dejean & François Moreau, 2014. "On the complementarity between online and offline music consumption: the case of free streaming," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 38(4), pages 315-330, November.
    5. Steven T. Berry, 1994. "Estimating Discrete-Choice Models of Product Differentiation," RAND Journal of Economics, The RAND Corporation, vol. 25(2), pages 242-262, Summer.
    6. Tobias Kretschmer & Christian Peukert, 2020. "Video Killed the Radio Star? Online Music Videos and Recorded Music Sales," Information Systems Research, INFORMS, vol. 31(3), pages 776-800, September.
    7. Aguiar, Luis & Martens, Bertin, 2016. "Digital music consumption on the Internet: Evidence from clickstream data," Information Economics and Policy, Elsevier, vol. 34(C), pages 27-43.
    8. Duch-Brown, Néstor & Grzybowski, Lukasz & Romahn, André & Verboven, Frank, 2017. "The impact of online sales on consumers and firms. Evidence from consumer electronics," International Journal of Industrial Organization, Elsevier, vol. 52(C), pages 30-62.
    9. Scott Hiller, R., 2016. "Sales displacement and streaming music: Evidence from YouTube," Information Economics and Policy, Elsevier, vol. 34(C), pages 16-26.
    10. Joseph Macey & Ville Tyrväinen & Henri Pirkkalainen & Juho Hamari, 2022. "Does esports spectating influence game consumption?," Behaviour and Information Technology, Taylor & Francis Journals, vol. 41(1), pages 181-197, January.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    Game industry; User-generated content; Gameplay; Social media; Copyright;
    All these keywords.

    JEL classification:

    • L22 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - Firm Organization and Market Structure
    • L82 - Industrial Organization - - Industry Studies: Services - - - Entertainment; Media
    • O34 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Intellectual Property and Intellectual Capital
    • M31 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Marketing and Advertising - - - Marketing

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