Tracing Strategic Evolution in the Online Gaming Industry Using BERTopic

초록

This study investigates the strategic evolution of the online gaming industry by applying BERTopic, a transformer-based topic modeling technique capable of capturing semantic nuances and temporal dynamics. A longitudinal dataset comprising annual reports, press releases, and strategic documents from leading global gaming companies between 2018 and 2023 was analyzed. Through BERTopic, the study identifies core thematic clusters and traces how strategic priorities such as cross-platform integration, esports expansion, metaverse adoption, and regulatory adaptation have shifted over time. Compared to traditional models like LDA, BERTopic provides superior interpretability and allows for the visualization of topic trajectories across time slices. The findings highlight a gradual convergence in industry discourse around digital ecosystems and immersive user engagement, reflecting broader technological and market transformations. This paper contributes to the literature by demonstrating the utility of advanced topic modeling in strategic management studies, while offering actionable insights into the narrative strategies of digital platform firms.

키워드

BERTopicOnline gaming industryStrategic evolutionInnovation orchestration
제목
Tracing Strategic Evolution in the Online Gaming Industry Using BERTopic
저자
한주희박민정
DOI
10.29056/jdmct.2025.06.03
발행일
2025-06
저널명
Journal of Digital Media & Culture Technology
5
1
페이지
31 ~ 42