With the popularity of large data network, data mining technology can be used in human resource management and provide strong decision support. In this paper, the author put forward the application of BIRCH clustering algorithm in HRM database, and analyze the associated reasoning methods. Based on the multiple regression analysis, the result shows that strategic human resource management effectiveness has significant positive correlation with organizational innovation (p<0.01). At the same time, the model M6 show that the nature of the enterprise has a significant negative impact on organizational learning, and the industry has positive impact on organizational learning. The conclusion shows that organizational learning plays a complete intermediary role between strategic human resource management and management innovation.
목차
Abstract 1. Introduction 2. Data Mining and BIRCH Algorithm 2.1. BIRCH Algorithm 2.2. Associated Reasoning Methods 3. Research Hypothesis 3.1. Strategic Human Resource Management and Organizational Innovation 3.2. Organizational Learning and Organizational Innovation 4. Empirical Analysis 4.1. Variables Measurement 4.2. Multiple Regression Analysis 4.3. The Mediating Effect of Organizational Learning 5. Conclusion References
보안공학연구지원센터(IJSIA) [Science & Engineering Research Support Center, Republic of Korea(IJSIA)]
설립연도
2006
분야
공학>컴퓨터학
소개
1. 보안공학에 대한 각종 조사 및 연구
2. 보안공학에 대한 응용기술 연구 및 발표
3. 보안공학에 관한 각종 학술 발표회 및 전시회 개최
4. 보안공학 기술의 상호 협조 및 정보교환
5. 보안공학에 관한 표준화 사업 및 규격의 제정
6. 보안공학에 관한 산학연 협동의 증진
7. 국제적 학술 교류 및 기술 협력
8. 보안공학에 관한 논문지 발간
9. 기타 본 회 목적 달성에 필요한 사업
간행물
간행물명
International Journal of Security and Its Applications
간기
격월간
pISSN
1738-9976
수록기간
2008~2016
등재여부
SCOPUS
십진분류
KDC 505DDC 605
이 권호 내 다른 논문 / International Journal of Security and Its Applications Vol.10 No.8