使用LDA和基于技术新闻框架的文献计量学映射元宇宙工业架构

IF 5.5 Q1 MANAGEMENT

Asia Pacific Management Review Pub Date : 2024-12-01 DOI:10.1016/j.apmrv.2024.09.001

Ai-Che Chang, Xinwen Zhang

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引用次数: 0

摘要

使公众能够掌握新兴技术的现状和趋势，有助于技术采用、社会经济投资和业务增长。科学新闻在将科学界与公众联系起来方面至关重要。由于元宇宙的快速膨胀，本研究的重点是元宇宙。为了验证知识提取的有效性，我们分析了TechCrunch.com上涵盖2020年至2023年的相关元宇宙新闻，构建了领域知识模式。本文提出了一种新的方法，将潜在狄利克雷分配（Latent Dirichlet Allocation， LDA）主题建模与文献计量学相结合，作为一种基于技术新闻框架的主题发现和知识构建的计算智能方法。LDA用于识别元宇宙新闻中的主题，而文献计量学方法，即共词网络分析，澄清术语关联强度并将结果可视化。该研究概述了科技新闻中突出的七个关键因素，这些因素影响了公众对新技术的看法和期望。这些要素提供了对影响新技术发展、扩散和采用的因素的见解。从八个主题中提取的代表性术语和企业有助于绘制领域的知识体系结构图。该研究有助于帮助利益相关者系统地理解元宇宙技术主题，并展示企业之间的协作伙伴关系。

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Mapping metaverse industrial architecture using LDA and bibliometrics based on technology news framing

Enabling the public to grasp the state and trends of emerging technologies facilitates technology adoption, socioeconomic investment, and business growth. Science journalism is crucial in connecting the scientific community with the public. This study focuses on the metaverse due to its rapid expansion. To validate knowledge extraction, we analyze relevant metaverse news from TechCrunch.com, covering 2020 to 2023, to build the domain knowledge schema. This study introduces a novel approach that combines Latent Dirichlet Allocation (LDA) topic modeling with bibliometrics as a computational intelligent method to discover topics and construct knowledge based on technology news framing. LDA is used to identify the topics in metaverse news, while a bibliometrics method, i.e., co-word networks analysis, clarifies term association strength and visualizes the findings. The study outlines the seven key elements highlighted in technology journalism, which shape public perception and expectations of new technologies. These elements offer insights into the factors influencing the development, diffusion, and adoption of new technologies. The extracted representative terms and enterprises from eight topics help map the knowledge architecture diagram for the domain. The research contributes to helping stakeholders systematically understand metaverse technology topics and demonstrate collaborative partnerships between enterprises.

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来源期刊

Asia Pacific Management Review MANAGEMENT-

CiteScore

8.00

自引率

4.50%

发文量

期刊介绍： Asia Pacific Management Review (APMR), peer-reviewed and published quarterly, pursues to publish original and high quality research articles and notes that contribute to build empirical and theoretical understanding for concerning strategy and management aspects in business and activities. Meanwhile, we also seek to publish short communications and opinions addressing issues of current concern to managers in regards to within and between the Asia-Pacific region. The covered domains but not limited to, such as accounting, finance, marketing, decision analysis and operation management, human resource management, information management, international business management, logistic and supply chain management, quantitative and research methods, strategic and business management, and tourism management, are suitable for publication in the APMR.