Integrating SNA and DM technology into HR practice and research: Layoff prediction model

Hui Ju Wu, I. Hsien Ting, Huo-Tsan Chang

Research output: Chapter in Book/Report/Conference proceedingChapter

2 Citations (Scopus)

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 languageEnglish
Title of host publicationMining and Analyzing Social Networks
EditorsI-Hsien Ting, Hui-Ju Wu, Tien-Hwa Ho
Pages53-66
Number of pages14
DOIs
Publication statusPublished - 2010 May 31

Publication series

NameStudies in Computational Intelligence
Volume288
ISSN (Print)1860-949X

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All Science Journal Classification (ASJC) codes

  • Artificial Intelligence

Cite this

Wu, H. J., Ting, I. H., & Chang, H-T. (2010). Integrating SNA and DM technology into HR practice and research: Layoff prediction model. In I-H. Ting, H-J. Wu, & T-H. Ho (Eds.), Mining and Analyzing Social Networks (pp. 53-66). (Studies in Computational Intelligence; Vol. 288). https://doi.org/10.1007/978-3-642-13422-7_4