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Improved BIRCH Clustering Algorithm and Human Resource Management Efficiency : An Organizational Learning Perspective

원문정보

초록

영어

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

저자정보

  • Yingjun Han North China University of Science and Technology, Tangshan 063009, Hebei, China

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