This study explored the growing adoption of the Metaverse in the supply chain field, primarily focusing on topics discussed in news media and identifying the benefits of effective implementations. It further investigated whether disparities in these topics exist across various industries. Over 2,000 news articles, published in reputable global newspapers were collected using the LexisNexis online database to examine the applications of the Metaverse in supply chains. The study employed Latent Dirichlet Allocation (LDA) and BERTopic topic-modeling methodologies to identify prevalent topics within these articles. The results show that the BERTopic approach yields more coherent topics than the LDA approach. The most prominent topic identified was "global supply chain growth amplified by digital technologies", highlighting the potential of the Metaverse to enhance financial growth across supply chains. The analysis also revealed that the Metaverse is being utilized across diverse sectors, including manufacturing, warehousing, logistics, retail, media, and mining. This study provided multi-faceted implications, extending beyond academic insights to offer tangible guidance for policymakers and industry leaders on the advantages and challenges of Metaverse implementation. This research contributed a fresh perspective to the existing literature by identifying key topics and successful implementations.

中文翻译：

---

元宇宙应用程序和供应链创新：来自文本挖掘的见解


本研究探讨了元宇宙在供应链领域的日益普及，主要关注新闻媒体中讨论的话题，并确定有效实施的好处。它进一步调查了各个行业是否存在这些主题的差异。使用 LexisNexis 在线数据库收集了在全球知名报纸上发表的 2,000 多篇新闻文章，以研究元宇宙在供应链中的应用。该研究采用潜在狄利克雷分配 （LDA） 和 BERTopic 主题建模方法来确定这些文章中的流行主题。结果表明，BERTopic 方法比 LDA 方法产生更连贯的主题。确定的最突出的话题是“数字技术放大了全球供应链增长”，强调了元宇宙促进供应链财务增长的潜力。分析还显示，元宇宙正被用于不同领域，包括制造、仓储、物流、零售、媒体和采矿。这项研究提供了多方面的影响，超越了学术见解，为政策制定者和行业领导者提供了关于 Metaverse 实施的优势和挑战的切实指导。这项研究通过确定关键主题和成功实施，为现有文献提供了新的视角。