Sustainable Technology Analysis of Blockchain Using Generalized Additive Modeling

Sangsung Park and Sunghae Jun
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Sangsung Park: Department of Big Data and Statistics, Cheongju University, Chungbuk 28503, Korea
Sunghae Jun: Department of Big Data and Statistics, Cheongju University, Chungbuk 28503, Korea

Sustainability, 2020, vol. 12, issue 24, 1-15

Abstract: Blockchain is a secure distributed management technology for data. Until now, blockchain technology has been intensively developed in financial fields such as Bitcoin. As the blockchain technology develops, the application fields of blockchain are expected to further expand. We proposed a technology analysis method for sustainability of blockchain technology. We analyzed the patent documents related to blockchain for sustainable technology analysis. To carry out the technology analysis, we preprocessed the patent documents and built a structure data, document-term matrix. In general, most elements of this matrix are zeros, so it is very skewed. Due to the skewness, technology analysis by traditional methods of statistics has analytical difficulty. To overcome this problem, we proposed a technology analysis method based on generalized additive modeling. To show how our proposed method can be applied to practical fields, we collected and analyzed the patent documents of blockchain technology.

Keywords: blockchain technology; sustainable technology; generalized additive modeling; patent big data analysis; sparsity and skewness (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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