Earticle

초록

영어

This study aims to reveal the popular features of blockchain games in the market and to identify which group of games perform better in terms of capitalization ability using a textmining based approach. We collected the information of over 2000 blockchain games including game descriptions and market performances from a popular blockchain game hub and employed topic modeling techniques to comprehensively explore the features. In total 38 topics were extracted from the game descriptions using BERTopic model and grouped into 4 themes: “blockchain games”, “game content”, “game format” and “others”. We further examined the relationships between these themes and market performances for the active 223 games. Preliminary results indicate that diverse market performances exist within each theme, Web3-focused and community-driven nature games exhibit a stronger performance. These findings provide insights for future research and help stakeholders understand key factors driving financial success in blockchain gaming.

목차

Abstract
Introduction
Overview of Blockchain Games Research
Topic Analysis
Blockchain Game Descriptions
BERTopic Model
Market Analysis
Conclusion
Acknowledgments
References

키워드

저자

• Yimiao Zhang [ School of Business, Singapore University of Social Sciences ]
• Jing Ren [ School of Business, Singapore University of Social Sciences ]
• Wenting Liu [ School of Business, Singapore University of Social Sciences ]
• Ding Ding [ School of Business, Singapore University of Social Sciences ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  한국경영정보학회 정기 학술대회 [KMIS Conference]

• 간기

  반년간

• 수록기간

  1990~2025

• 십진분류

  KDC 325 DDC 658