Immersive Technology in Business Education: A Bibliometric Analysis

This dataset supports the analysis conducted for a bibliometric study exploring the intersection of immersive technology, business, and education. The dataset consists of two components:
Primary Data: A collection of 1,040 scientific publications retrieved from Scopus databases. These publications broadly focus on the themes of immersive technology and business. The primary dataset was analyzed using bibliometric methods to identify research trends, authors, country, relationship between keyword, and citation patterns. This allows for a comprehensive understanding of how immersive technologies are being researched and applied in the business domain globally.
Secondary Data: This data consist of 20 publications specifically related to immersive technology in Indonesian education. This smaller dataset complements the specific dataset by offering a more localized perspective. Bibliometric analysis of this secondary data set was used to explore how immersive technologies are being implemented and discussed within Indonesian educational.
Analysis was conducted using the R Biblioshiny analysis tool ensuring transparency and reproducibility of results. This dataset can be used by other researchers for replication, extended analysis, or comparative studies in the domains of immersive technology.

本数据集支撑一项针对沉浸式技术（immersive technology）、商业与教育交叉领域的文献计量学研究（bibliometric study）的分析工作。该数据集包含两个组成部分：
一、主要数据集（Primary Data）：包含从Scopus数据库（Scopus）中检索得到的1040篇科学出版物，这些文献广泛围绕沉浸式技术与商业两大主题展开。研究采用文献计量学方法对该主要数据集展开分析，以识别研究趋势、作者群体、国家分布、关键词关联关系及引用模式，由此可全面洞悉沉浸式技术在全球商业领域的研究与应用现状。
二、辅助数据集（Secondary Data）：包含20篇专门针对印尼教育领域沉浸式技术的出版物，该规模较小的数据集可作为专项研究的补充，提供更具本地化视角的分析。通过对该辅助数据集开展文献计量学分析，可探究沉浸式技术在印尼教育领域的落地应用与讨论情况。
本研究采用R语言（R）的Biblioshiny分析工具（Biblioshiny）开展数据分析，确保研究结果的透明度与可复现性。该数据集可供其他研究人员用于沉浸式技术领域的复现研究、拓展分析或比较研究。