Mining the Generation Xers' job attitudes by artificial neural network and decision tree-empirical evidence in Taiwan

Authors:
Kuan-Yeh Tung;Ing-Chung Huang;Shu-Ling Chen;Chih-Ting Shih
Affiliations:
Department of Information Management, Southern Taiwan University of Technology, 1 Nan-Tai St., Yung-kang City, Tainan County 710, Taiwan, ROC;Institute of Human Resource Management, National Sun Yat-Sen University, 70 Lien-Hai Rd, Kaohsiung 804, Taiwan, ROC;Institute of Human Resource Management, National Sun Yat-Sen University, 70 Lien-Hai Rd, Kaohsiung 804, Taiwan, ROC and Department of Technology Management, Aletheia University, 70-11 Pei-Shih Lia ...;Department of Leisure, Recreation and Tourism Management, Shu-Te University, 59 Hun Shan Rd., Yen Chau, Kaohsiung County, Taiwan, ROC
Venue:
Expert Systems with Applications: An International Journal
Year:
2005

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Abstract

This paper employs artificial neural network and decision tree to derive knowledge about the job attitudes of Generation Xers. The sample frame consisted of 1000 large Manufacturing Industries and 500 large Service Industries, randomly selected from the Common Wealth Magazine 1000 index of Taiwan Manufacturing Industries and Service Firms. Then, we exploited the ART2 neural model to take the collected data as inputs and form performance classes according to their similarities. Finally, the decision tree was employed to determine definitions for each class, resulting in 52 rules associated with certainty factors. The results could be used to develop an intelligent decision support system for the recruitment and management of Generation Xers.