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

Jieh Haur Chen, Jia Zheng Lin

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

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.

Original languageEnglish
Pages (from-to)116-124
Number of pages9
JournalJournal of Marine Science and Technology (Taiwan)
Volume22
Issue number2
DOIs
StatePublished - 2014

Keywords

  • Decision tree
  • Expatriation willingness
  • Prediction rule
  • Rough set

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