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http://dx.doi.org/10.20522/APJBR.2017.1.2.63

Cross-national Analysis of Robot Research Using Non-Structured Text Analytics for R&D Policy  

Kim, Jeong Hun (School of Management, Kyung Hee University)
Seo, Han Sol (School of Management, Kyung Hee University)
Lee, Jae Woong (School of Management, Kyung Hee University)
Lee, Jung Won (School of Management, Kyung Hee University)
Kwon, Oh Byung (School of Management, Kyung Hee University)
Publication Information
Asia Pacific Journal of Business Review / v.1, no.2, 2017 , pp. 63-88 More about this Journal
Abstract
With the advent of new frontiers in robotics, the spectrum of robot research area has widened in many fields and applications. Other than conventional robot research, many technologies such as smart devices, drones, healthcare robots, and soft robots are emerging as promising applications. Due to the research complexity of this topic, this research requires international collaboration and should be fertilized by R&D policies. This paper aims to propose a method to perform a cross-national analysis of robot research with unstructured data such as papers in the proceedings of an international conference. Text analytics are applied to extract research issues and applications in an automatic manner.
Keywords
Cross-national analysis; Robotics; Text analytics; TF-IDF; R&D policy;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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