淡江大學機構典藏:Item 987654321/115948
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    題名: Text Mining for Human Resources Competencies: Taiwan example
    作者: Chih-Hung Chung;Lu-Jia Chen
    關鍵詞: Cluster analysis;Classification;Human resource;Text mining;Job advertisement, Professional competence
    日期: 2019-02-07
    上傳時間: 2019-03-13 12:10:13 (UTC+8)
    摘要: 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
    關聯: European Journal of Training and Development
    DOI: 10.1108/EJTD-07-2018-0060
    顯示於類別:[教育科技學系暨研究所] 期刊論文

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