인적자원개발 연구동향(2006-2015): AHRD 학술지 논문의 주제어 연결망 분석
Research trends in HRD(2006-2015): A keyword network analysis of articles in AHRD journals
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참고문헌
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초록
이 연구의 목적은 학술논문에 수록된 주제어(keyword)에 대한 연결망 분석(network analysis)을 활용하여 인적자원개발(이하 HRD) 분야의 연구동향을 살펴보는 것이다. 이를 위해 북미의 대표적 국제 HRD학회(Academy of Human Resource Development)에서 발간하는 4개의 학술지를 대상으로, 최근 10년 간(2006-2015) 발간된 1,082개 연구논문(research article)만의 주제어 2,119개를 최종 분석하였다. 분석을 통해 파악된 주제어의 전체 연결망 구조는 좁은 세상(small-world)과 척도 없는(scale-free) 연결망의 특성을 지녔다. 또한 연결중심도와 빈도를 모두를 고려하여 27개의 주요 주제어 중 6개의 핵심 주제어(리더십, 직무만족, 학습, 성과, 훈련, 조직몰입)를 선정하였다. 이후 핵심 주제어의 자아(ego) 연결망 분석을 실시한 결과, 각 핵심 주제어는 다양한 주요 주제어들과의 관계맺음을 통해 특징적 군집(주제어군)을 형성하고 있었다. 이 연구의 분석결과는 해외 HRD 분야의 연구동향에 대한 새로운 지식을 제공함과 동시에 주제어 연결망 분석을 통해 연구동향에 대한 포괄적, 구체적 파악이 가능함을 보여준다. 이상의 결과를 토대로 국내외 HRD 연구에 대한 결론과 시사점을 논의하였다.
Abstract
The purpose of this study is to examine research trends in the field of Human Resource Development using a keyword network analysis of the peer-reviewed research articles published in the four major AHRD journals. For the analysis, we collected 2,119 keywords from 1,082 articles published in the four journals from 2006 to 2015. Our finding suggested that a keyword network of AHRD research for 10 years has a small-world and scale-free characteristic. By conducting analyses of degree centralization and frequency, we also found 27 major keywords. We then identified six core keywords(i.e., leadership, job satisfaction, learning, performance, training, organizational commitment). The results of further ego-centric network analyses of the core keywords showed that each keyword forms unique components(groups of keywords) in connection with a variety of neighbor(major) keywords. The findings of this study not only provide new knowledge to the field of HRD, but an implementation of the network analysis that enables us to investigate comprehensive and specific research trends. Based on the findings, conclusions and implications were discussed.
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