淡江大學機構典藏:Item 987654321/113011
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    Please use this identifier to cite or link to this item: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/113011


    Title: Examining competencies of entry-level HR professionals: Implications for higher education in HR
    Authors: Angnakoon, Putthachat;Chung, Chih-Hung;Evangelopoulos, Nicholas;Pasquini, Laura A.
    Keywords: Text mining;LSA;HR professional;entry-level
    Date: 2017-11-09
    Issue Date: 2018-03-29 12:10:35 (UTC+8)
    Publisher: Science and Engineering Institute
    Abstract: With the rapid advances in technology and globalization, people are faced with many challenges in the HR professions. Competencies of entry-level HR professionals also need to be surveyed, so that the gap could be decreased between higher education and practice. Therefore, the purpose of this study is to use the text mining technique to explore the competencies of entry-level human resource professionals through the use of Latent Semantic Analysis (LSA). Text mining-LSA is used to uncover and help understand the hidden trends and patterns from a mass dataset. Based on the results of this study, we found four major competencies (communication, skills, ability, and education) and thirteen sub factors (educational degree, communication, experience, leadership, office-software operation, teamwork relative education field, project management, presentation skills, analytical ability, certification, accepting traveling, and labor law knowledge) were proposed. The results could assist HR curriculum developers and HR educators in designing and tailoring their current curriculum to address the up-to-date competencies required for effective HR professionals. Hence, HR graduates are then best prepared for their jobs.
    Relation: WCSE 2017 : 7th International Workshop on Computer Science and Engineering
    DOI: 10.18178/wcse.2017.06.087
    Appears in Collections:[Graduate Institute & Department of Educational Technology ] Journal Article

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