Prediction rules of the employees' expatriation willingness for engineering consulting companies

NCUIR > Engineering College > Department of Civil Engineering > journal & Dissertation > Item 987654321/99975

Please use this identifier to cite or link to this item: https://ir.lib.ncu.edu.tw/handle/987654321/99975

Title:	Prediction rules of the employees' expatriation willingness for engineering consulting companies
Authors:	陳介豪;Chen, Jieh-haur;Lin, Jia-zheng
Contributors:	工學院土木工程學系
Keywords:	decison tree;EI;expatriation willingness;prediction rule;rough set;SCIE;Scopus;TSCI
Date:	2014-01-01
Issue Date:	2026-04-21 13:43:34 (UTC+8)
Publisher:	National Taiwan Ocean University;台灣: 國立臺灣海洋大學
Abstract:	摘要： To assure efficient expatriate assignments, the objective of this study is to establish prediction rules of employees’ expatriation willingness using the rough set theory and decision tree. We summarized 22 impact factors from literature regarding expatriation willingness and used them to develop a questionnaire. A total of over 413 questionnaires were returned and effective for data analysis. The adoption of the rough set theory classified these factors into three categories. Among them 18 out of 21 factors were set as the inputs for the decision-making model to construct the prediction rules of employees’ expatriation willingness. Six rules regarding the refusal of expatriation assignments and three rules regarding the acceptance of expatriation assignments were found. The rules can be valuable to employers in making decisions of international expatriation. 出版者：台灣: 國立臺灣海洋大學出版日期： 2014-04 出處： Journal of Marine Science and Technology, 2014-04, Vol.22 (2), p.116-124 資源來源： Chinese Electronic Periodical Services (CEPS) 識別號： ISSN: 1023-2796
Appears in Collections:	[Department of Civil Engineering] journal & Dissertation

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