文章基本信息

标题：Identification of Technology Diffusion by Citation and Main Paths Analysis: The Possibility of Measuring Open Innovation
本地全文：下载
作者：Su, Wei-Hao ; Chen, Kai-Ying ; Lu, Louis Y. Y. 等
期刊名称：Journal of Open Innovation: Technology, Market, and Complexity
电子版ISSN：2199-8531
出版年度：2021
卷号：7
期号：1
页码：1-22
DOI：10.3390/joitmc7010104
语种：English
出版社：Springer
摘要：This study collected literature on augmented reality (AR) from academic and patent databases to plot the historic development trajectory of AR and forecast its future research and development trends. A total of 3193 and 13,629 papers were collected from academic and patent databases, respectively. First, a network was established using references from the academic literature; main path analysis was conducted on this reference network to plot the overall development trajectory. Subsequent cluster and word cloud analyses revealed the following five major groups of AR research topics: AR surgical navigation applications, AR education applications, AR applications in manufacturing, AR applications in architecture, and AR applications in visual tracking. Subsequently, the relationships between the overall development trajectory and the five AR research topics were compared. Next, the title and abstract of AR-related academic and patent papers were subjected to text mining to identify keywords with a high frequency of occurrence. The results can provide a reference for industry, government, and academia when planning future development strategies for the AR field. This research adopted an integrated analysis procedure to plot the trajectory of AR technology development and applications successfully and effectively, predict future patent research and development directions and produce technological forecasts.
关键词：augmented reality; citation network analysis; main path analysis; open innovation; development trajectory; literature review