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Identification of Technology Diffusion by Citation and Main Paths Analysis: The Possibility of Measuring Open Innovation

1
Department of Industrial Engineering and Management, National Taipei University of Technology, Taipei 10608, Taiwan
2
College of Management, Yuan Ze University, Chung-Li 32003, Taiwan
*
Author to whom correspondence should be addressed.
J. Open Innov. Technol. Mark. Complex. 2021, 7(1), 104; https://0-doi-org.brum.beds.ac.uk/10.3390/joitmc7010104
Received: 4 February 2021 / Revised: 8 March 2021 / Accepted: 15 March 2021 / Published: 20 March 2021
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. View Full-Text
Keywords: augmented reality; citation network analysis; main path analysis; open innovation; development trajectory; literature review augmented reality; citation network analysis; main path analysis; open innovation; development trajectory; literature review
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MDPI and ACS Style

Su, W.-H.; Chen, K.-Y.; Lu, L.Y.Y.; Huang, Y.-C. Identification of Technology Diffusion by Citation and Main Paths Analysis: The Possibility of Measuring Open Innovation. J. Open Innov. Technol. Mark. Complex. 2021, 7, 104. https://0-doi-org.brum.beds.ac.uk/10.3390/joitmc7010104

AMA Style

Su W-H, Chen K-Y, Lu LYY, Huang Y-C. Identification of Technology Diffusion by Citation and Main Paths Analysis: The Possibility of Measuring Open Innovation. Journal of Open Innovation: Technology, Market, and Complexity. 2021; 7(1):104. https://0-doi-org.brum.beds.ac.uk/10.3390/joitmc7010104

Chicago/Turabian Style

Su, Wei-Hao, Kai-Ying Chen, Louis Y.Y. Lu, and Ya-Chi Huang. 2021. "Identification of Technology Diffusion by Citation and Main Paths Analysis: The Possibility of Measuring Open Innovation" Journal of Open Innovation: Technology, Market, and Complexity 7, no. 1: 104. https://0-doi-org.brum.beds.ac.uk/10.3390/joitmc7010104

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