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    Please use this identifier to cite or link to this item: https://ir.lib.ncu.edu.tw/handle/987654321/100074


    Title: Determining and classifying factors of employees' expatriation willingness using rough set theory
    Authors: 陳介豪;Chen, Jieh-Haur;Lin, Jia-Zheng;Hsu, Shu-Chien
    Contributors: 工學院土木工程學系
    Keywords: Categories;Classification;Consulting;Demographic variables;Literature reviews;Management;Set theory;Statistical analysis
    Date: 2014-09-01
    Issue Date: 2026-04-21 13:48:18 (UTC+8)
    Publisher: American Society of Civil Engineers (ASCE)
    Abstract: 摘要: The objective of this research is to identify and classify the factors affecting the expatriation willingness (EW) of engineering consulting company employees. Thirteen EW impact factors are summarized from the literature review and divided into four categories. From the collected factors and expert interviews, 22 impact factors are obtained and divided into eight categories, with the exception of demographic variables. A survey aiming at the top five engineering consulting companies is carried out. Out of a total of 1,000 questionnaires sent out, 41.3% valid responses are returned. The statistical analysis shows that the survey is reliable and one of the 22 factors is removed. The rough set theory (RST) is utilized to classify these factors into three classes based on the impact level. The conclusions provide practitioners with six core impact factors on employees' EW. The findings can be of benefit to employers, helping them to save recourse and to target the most appropriate employees for expatriation.
    出版日期: 2013-04-30
    出處: Journal of management in engineering, 2013-04
    資源來源: Business Source Premier - EBSCO
    識別號: ISSN: 0742-597X
    識別號: DOI: 10.1061/(ASCE)ME.1943-5479.0000206
    Appears in Collections:[Department of Civil Engineering] journal & Dissertation

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