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 organization. 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.
| Original language | English |
|---|---|
| Title of host publication | Mining and Analyzing Social Networks |
| Editors | I-Hsien Ting, Hui-Ju Wu, Tien-Hwa Ho |
| Pages | 53-66 |
| Number of pages | 14 |
| DOIs | |
| Publication status | Published - 2010 May 31 |
Publication series
| Name | Studies in Computational Intelligence |
|---|---|
| Volume | 288 |
| ISSN (Print) | 1860-949X |
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All Science Journal Classification (ASJC) codes
- Artificial Intelligence
Cite this
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Integrating SNA and DM technology into HR practice and research : Layoff prediction model. / Wu, Hui Ju; Ting, I. Hsien; Chang, Huo-Tsan.
Mining and Analyzing Social Networks. ed. / I-Hsien Ting; Hui-Ju Wu; Tien-Hwa Ho. 2010. p. 53-66 (Studies in Computational Intelligence; Vol. 288).Research output: Chapter in Book/Report/Conference proceeding › Chapter
TY - CHAP
T1 - Integrating SNA and DM technology into HR practice and research
T2 - Layoff prediction model
AU - Wu, Hui Ju
AU - Ting, I. Hsien
AU - Chang, Huo-Tsan
PY - 2010/5/31
Y1 - 2010/5/31
N2 - 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 organization. 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.
AB - 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 organization. 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.
UR - http://www.scopus.com/inward/record.url?scp=77952716493&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=77952716493&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-13422-7_4
DO - 10.1007/978-3-642-13422-7_4
M3 - Chapter
AN - SCOPUS:77952716493
SN - 9783642134210
T3 - Studies in Computational Intelligence
SP - 53
EP - 66
BT - Mining and Analyzing Social Networks
A2 - Ting, I-Hsien
A2 - Wu, Hui-Ju
A2 - Ho, Tien-Hwa
ER -