Bibliometric approach for innovations analysis on Disaster Risk Reduction
Abstract
Introduction. This study demonstrates a bibliometric method for innovation analysis of Disaster Risk Reduction (DRR) in Indonesia. The paper explores the ability of the bibliometric method, particularly co-occurrence analysis in mapping research innovation. In addition, the paper explains advantages and disadvantages of the bibliometric method.
Data Collection Method. DRR journal articles published between 2008-2020 were retrieved from the Scopus database using the keyword of “Disaster Risk Reduction” and “Indonesia”.
Data Analysis. Co-occurrence analysis, using keywords and authors, was conducted to show the emerging innovation and authors involved in DRR innovations development in Indonesia.
Results and Discussion. The results reveal that the number of DRR publications has increased over time, particularly between 2017 and 2020. Fifty innovations were identified with several innovative products became a trend, such as remote sensing, evacuation modelling, and GIS. The most prolific authors were identified with 3-5 articles produced.
Conclusion. Bibliometrics is a powerful method for analyzing emerging innovations in DRR field. Although it requires a complete dataset and computational system support, this method enables analyzing big data, identifying the types of innovations and the emerging period, and predicting future innovations.
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