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Function score-based technological trend analysis

Authors
Mun, ChangbaeYoon, SejunRaghavan, NagarajanHwang, DongwookBasnet, SubarnaPark, Hyunseok
Issue Date
Mar-2020
Publisher
ELSEVIER
Keywords
Semantic abstraction; Generic-technical function; Functional value; Natural language processing; Functional taxonomy; Functional trends
Citation
TECHNOVATION, v.101, pp.1 - 14
Indexed
SCIE
SSCI
SCOPUS
Journal Title
TECHNOVATION
Volume
101
Start Page
1
End Page
14
URI
https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/10570
DOI
10.1016/j.technovation.2020.102199
ISSN
0166-4972
Abstract
This paper proposes a new method to quantitatively evaluate the relative importance of a functionality in a technological domain at a specific time, called function score. Based on the function score and actual demand for each functionality, we developed a framework to analyze dynamic functional trends in a technological domain. To test the proposed method, this paper conducted an empirical study using Genome sequencing technology. The result shows that most of the important functionalities in different periods are well identified by the function score. The trend analysis framework effectively visualizes the dynamic changes of importance and demand for functionalities in Genome sequencing, and the results were also found to be qualitatively acceptable. Therefore, the proposed trend analysis based on the function score is being proposed here as a novel useful for understanding the fundamental developmental trends that occur within a technological domain.
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서울 공과대학 > 서울 정보시스템학과 > 1. Journal Articles

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