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    Determining and Classifying Factors of Employees’ Expatriation Willingness Using Rough Set Theory

    Source: Journal of Management in Engineering:;2014:;Volume ( 030 ):;issue: 005
    Author:
    Jieh-Haur Chen
    ,
    Jia-Zheng Lin
    ,
    Shu-Chien Hsu
    DOI: 10.1061/(ASCE)ME.1943-5479.0000206
    Publisher: American Society of Civil Engineers
    Abstract: The objective of this research is to identify and classify the factors affecting the expatriation willingness (EW) of engineering consulting company employees. A total of 13 EW impact factors are summarized from a review of the literature 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. Rough set theory (RST) is utilized to classify these factors into three classes based on 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.
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      Determining and Classifying Factors of Employees’ Expatriation Willingness Using Rough Set Theory

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    http://yetl.yabesh.ir/yetl1/handle/yetl/66261
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    contributor authorJieh-Haur Chen
    contributor authorJia-Zheng Lin
    contributor authorShu-Chien Hsu
    date accessioned2017-05-08T21:54:47Z
    date available2017-05-08T21:54:47Z
    date copyrightSeptember 2014
    date issued2014
    identifier other%28asce%29me%2E1943-5479%2E0000240.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/66261
    description abstractThe objective of this research is to identify and classify the factors affecting the expatriation willingness (EW) of engineering consulting company employees. A total of 13 EW impact factors are summarized from a review of the literature 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. Rough set theory (RST) is utilized to classify these factors into three classes based on 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.
    publisherAmerican Society of Civil Engineers
    titleDetermining and Classifying Factors of Employees’ Expatriation Willingness Using Rough Set Theory
    typeJournal Paper
    journal volume30
    journal issue5
    journal titleJournal of Management in Engineering
    identifier doi10.1061/(ASCE)ME.1943-5479.0000206
    treeJournal of Management in Engineering:;2014:;Volume ( 030 ):;issue: 005
    contenttypeFulltext
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