연관규칙 기반 동시출현단어 분석을 활용한 기술경영연구 주제 네트워크 분석
Exploring the Research Topic Networks in the Technology Management Field Using Association Rule-based Co-word Analysis
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초록
본 연구는 동시출현단어(co-word) 분석을 이용하여 기술경영 분야의 연구 주제 네트워크를 구축하고, 핵심 연구 주제 및 연구 주제 간 상호연관관계를 도출한다. 동시출현 빈도수의 정규화를 통해 키워드 간 유사성을 도출하여 무방향 네트워크를 분석하는 기존연구들과는 달리 본 연구는 연관규칙분석(association rule)을 통해 키워드 간 신뢰도(confidence)를 도출하여 유방향 네트워크 분석을 수행한다. 2011~2014년 기술경영 분야 9 개 국제 학술지에 게재된 2,456개의 논문의 저자키워드를 대상으로 빈도수 상위 200개 키워드를 추출하고, 주제(THEME), 방법(METHOD), 분야(FIELD)의 세 가지 유형으로 키워드를 분류한다. 각 유형별 일원(one-mode) 네트워크를 구축하여, 함께 많이 연구가 이루어진키워드들을 찾아내고, 핵심 키워드를 도출한다. 또한 두 가지 유형의 키워드 간의 이원(two-mode) 네트워크를 구축하여, 연구 주제별로 함께 많이 활용된 방법 및 대상 분야를 탐색한다. 본 연구 결과는 최근 성숙기에 접어든 기술경영 분야의 연구 흐름 및 지식 구조를 키워드 수준에서 구체적으로 제시함으로써, 기술경영 분야 연구자들의 연구 주제 탐색 및 연구방향 설계에 활용될 수 있을 것으로 기대된다.
Abstract
This paper identifies core research topics and their relationships by deriving the research topic networks in the technology management field using co-word analysis. Contrary to the conventional approach in which undirected networks are constructed based on normalized co-occurrence frequency, this study analyzes directed networks of keywords by employing the confidence index of association rule mining for pairs of keywords. Author keywords included in 2,456 articles published in nine international journals of technology management in 2011~2014 are extracted and categorized into three types: THEME, METHOD, and FIELD. One-mode networks for each type of keywords are constructed to identify core research keywords and their interrelationships with each type. We then derive the two-mode networks composed of different two types of keywords, THEME-METHOD and THEME-FIELD, to explore which methods or fields are frequently employed or studied for each theme. The findings of this study are expected to be fruitfully referred for researchers in the field of technology management to grasp research trends and set the future research directions
참고문헌 (42)
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