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Integrating SNA and DM Technology into HR
Practice and Research: Layoff Prediction Model
Hui-Ju Wu, I-Hsien Ting, and Huo-Tsan Chang
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Abstract.
Recent developments in social network analysis (SNA) and data mining
(DM) technology have opened up new frontiers for human resource management
(HRM). SNA appears to be an effective tool for mapping relationships in an or-
ganization. The increased use of information technology provides useful new data
about the user behavior automatically stored in database or web log files. Data
mining methods were applied in practice to explore information from this huge
amount of data. Data mining can be used to gain insight into the usage behavior
based on objective data in contrast to subjective data. In this chapter we suggest
ways in which combine SNA and DM be analyzed using network software and
DM tool. We propose an example used exploratory research design conducting a
single case study in Taiwan. This research aims at introducing the importance of
the application of DM and SNA to predict layoff through an empirical study.
1 Introduction
The rapid development of information technology has also boosted the implemen-
tation of Human Resource Management. Information technology is driver to some
present and upcoming changes in HRM. Data mining methods were applied in
practice to explore information from this huge amount of data. Data mining can be
used to gain insight into the usage behavior based on objective data in contrast to
subjective data.SNA appears to be an effective tool for mapping relationships in
an organization. We propose an example used exploratory research design con-
ducting a single case study in Taiwan. This research aims at introducing the
