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    Please use this identifier to cite or link to this item: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/115948


    Title: Text Mining for Human Resources Competencies: Taiwan example
    Authors: Chih-Hung Chung;Lu-Jia Chen
    Keywords: Cluster analysis;Classification;Human resource;Text mining;Job advertisement, Professional competence
    Date: 2019-02-07
    Issue Date: 2019-03-13 12:10:13 (UTC+8)
    Abstract: Purpose – The purpose of this study is to explore the capabilities required by entry-level human resources
    (HR) professionals based on job advertisements by using text mining (TM) technique.
    Design/methodology/approach – This study used TM techniques to explore the capabilities required
    by entry-level HR professionals based on job advertisements on HR agency 104’s website in Taiwan. Python
    was used to crawl the advertisements on the website, and 841 posts were collected. Next, the author used TM
    to explore and understand hidden trends and patterns in numerous data sets.
    Findings – The results of this study revealed four critical success factors (specific skills, educational level,
    experience and specific capabilities), five clusters and ten classifications.
    Practical implications – The results can aid HR curriculum developers and educators in customizing
    and improving HR education curricula, such that HR students can develop capabilities required to secure
    employment in the current HR job market.
    Originality/value – Our results may facilitate the understanding of the current trends in the HR job
    market and provide useful suggestions to HR curriculum developers for improving training and profess
    Relation: European Journal of Training and Development
    DOI: 10.1108/EJTD-07-2018-0060
    Appears in Collections:[教育科技學系暨研究所] 期刊論文

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