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http://dx.doi.org/10.14400/JDC.2020.18.8.037

Research Trend Analysis on Living Lab Using Text Mining  

Kim, SeongMook (Graduate School of Management of Technology, Korea University)
Kim, YoungJun (Graduate School of Management of Technology, Korea University)
Publication Information
Journal of Digital Convergence / v.18, no.8, 2020 , pp. 37-48 More about this Journal
Abstract
This study aimed at understanding trends of living lab studies and deriving implications for directions of the studies by utilizing text mining. The study included network analysis and topic modelling based on keywords and abstracts from total 166 thesis published between 2011 and November 2019. Centrality analysis showed that living lab studies had been conducted focusing on keywords like innovation, society, technology, development, user and so on. From the topic modelling, 5 topics such as "regional innovation and user support", "social policy program of government", "smart city platform building", "technology innovation model of company" and "participation in system transformation" were extracted. Since the foundation of KNoLL in 2017, the diversification of living lab study subjects has been made. Quantitative analysis using text mining provides useful results for development of living lab studies.
Keywords
Living lab; Key word; Network analysis; Topic modelling; Research trend; Text mining;
Citations & Related Records
Times Cited By KSCI : 9  (Citation Analysis)
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