Text Mining for Human Resources Competencies: Taiwan Example

Autor/inn/en	Chung, Chih-Hung; Chen, Lu-Jia
Titel	Text Mining for Human Resources Competencies: Taiwan Example
Quelle	In: European Journal of Training and Development, 45 (2021) 6-7, S.588-602 (15 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	2046-9012
DOI	10.1108/EJTD-07-2018-0060
Schlagwörter	Human Resources; Educational Attainment; Job Skills; Employment; Classification; Professional Personnel; Job Applicants; Advertising; Web Sites; Foreign Countries; Data Analysis; Programming Languages; Trend Analysis; Curriculum Development; Professional Education; Labor Market; Work Experience; Higher Education; Employment Qualifications; Taiwan + Suchen Sie Ihr Suchwort? Humankapital; Bildungsabschluss; Bildungsgut; Produktive Fertigkeit; Dienstverhältnis; Classification system; Klassifikation; Klassifikationssystem; Personalbestand; Bewerber; Werbung; Web-Design; Ausland; Auswertung; Trendanalyse; Curriculum; Development; Curriculumentwicklung; Lehrplan; Entwicklung; Berufsausbildung; Labour market; Arbeitsmarkt; Employment experience; Job experience; Occupational experience; Berufserfahrung; Hochschulbildung; Hochschulsystem; Hochschulwesen; Employment qualification; Vocational qualification; Vocational qualifications; Berufliche Qualifikation
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 professional course design, such that students' competitiveness is enhanced and professional capabilities improved. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01