Game Localization Marketing Strategy Model under the Perspective of Cultural Topology Reconstruction - An Empirical Study of Blizzard Game Chineseization Based on Hofstede's Cultural Dimension Theory

Lina Li

doi:10.62051/ijgem.v6n3.15

Authors

Lina Li

DOI:

https://doi.org/10.62051/ijgem.v6n3.15

Keywords:

Cultural topological reconstruction, Hofstede's cultural dimensions, Game localization, Blizzard games, Chinese market

Abstract

This study takes cultural topology reconstruction as a perspective, constructs a game localization marketing strategy model based on Hofstede's theory of cultural dimensions, and analyzes Blizzard's game Chineseization practice as a case study. It is found that effective game localization is a deep-level cultural reconstruction process, and the collectivism and power distance dimensions have a significant impact on the Chinese market. Cultural topology reconstruction strategies include four categories: retention, adaptation, innovation and substitution. The successful case of Blizzard shows that the ideal cultural reconstruction should balance originality and local adaptability, and adopt progressive adjustment strategies to make localization a dynamic evolutionary process.

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References

[1] Kim S K A. Reconstructing Reverse Innovation and Expansions[C]//2024 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM). IEEE, 2024: 142-146.

[2] Belyaev D A, Belyaeva U P. Historical Video Games in the Context of Public History: Strategies for Reconstruction, Deconstruction and Politization of History [J]. Galactica Media: Journal of Media Studies, 2022, 4(1): 51-70.

[3] Gong L, Jiang S, Liang X. Competing value framework-based culture transformation [J]. Journal of Business Research, 2022, 145: 853-863.

[4] Su Y, Zhou X, Funk D, et al. Cross-cultural comparison of satellite fanship: A consumer culture theory perspective [J]. Journal of Sport Management, 2024, 1(aop): 1-13.

[5] Tanushev C. Digital transformation: The impact on corporate strategy [J]. Economic Alternatives, 2022, 3: 383-404.

[6] Šisler V. Theoretical and Methodological Framework for Studying Video Games and Orientalism [J]. CyberOrient, 2023, 17(2): 4-56.

[7] Kanumuri V V. Crisis Marketing Strategies for Economic Downturns [J]. International Journal of Multidisciplinary Science Research Review, 2025, 3(1): 31-39.

[8] Maboudi M, Homaei M R, Song S, et al. A review on viewpoints and path planning for UAV-based 3-D reconstruction [J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023, 16: 5026-5048.

[9] Sarantakou E. Contemporary challenges in destination planning: A geographical typology approach [J]. Geographies, 2023, 3(4): 687-708.

[10] Arapakopoulos A, Liaskos O, Mitsigkola S, et al. 3D Reconstruction & modeling of the traditional Greek trechadiri: “aghia varvara” [J]. Heritage, 2022, 5(2): 1295-1309.

[11] Li K, Wang J, Wu X, et al. Optimizing automated picking systems in warehouse robots using machine learning [J]. arXiv preprint arXiv:2408.16633, 2024.

[12] Ma, K. (2024). Relationship Between Return to Experience and Initial Wage Level in United States. Frontiers in Business, Economics and Management, 16(2), 282-286.

[13] Yang C, Chen M, Yuan Y, et al. Reinforcement shrink-mask for text detection [J]. IEEE Transactions on Multimedia, 2022, 25: 6458-6470.

[14] Chen H, Varatharajah Y, Stewart de Ramirez S, Arnold P, Frankenberger C, Hota B, Iyer R. A Retrospective Longitudinal Study of COVID-19 as Seen by a Large Urban Hospital in Chicago [EB/OL]. medRxiv, 2020-11-29.

[15] Ru J, Tian J, Xiao C, et al. Imbalanced open set domain adaptation via moving-threshold estimation and gradual alignment[J]. IEEE Transactions on Multimedia, 2023, 26: 2504-2514.