دورية أكاديمية
Standardising job descriptions in the humanitarian supply chain: A text mining approach for recruitment process.
| العنوان: | Standardising job descriptions in the humanitarian supply chain: A text mining approach for recruitment process. |
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| المؤلفون: | Spada I; Department of Energy, Systems, Land and Construction Engineering, School of Engineering, University of Pisa, Pisa, Italy.; Business Engineering for Data Science (B4DS) Research Lab, School of Engineering, University of Pisa, Pisa, Italy., Fabbroni V; Department of Civilisations and Forms of Knowledge, University of Pisa, Pisa, Italy.; SDCC Department, Asian Development Bank, Fragile Countries, Manila, Philippines., Chiarello F; Department of Energy, Systems, Land and Construction Engineering, School of Engineering, University of Pisa, Pisa, Italy.; Business Engineering for Data Science (B4DS) Research Lab, School of Engineering, University of Pisa, Pisa, Italy., Fantoni G; Business Engineering for Data Science (B4DS) Research Lab, School of Engineering, University of Pisa, Pisa, Italy.; Department of Industrial and Civil Engineering, School of Engineering, Università di Pisa, Pisa, Italy. |
| المصدر: | PloS one [PLoS One] 2024 Jul 10; Vol. 19 (7), pp. e0305961. Date of Electronic Publication: 2024 Jul 10 (Print Publication: 2024). |
| نوع المنشور: | Journal Article |
| اللغة: | English |
| بيانات الدورية: | Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE |
| أسماء مطبوعة: | Original Publication: San Francisco, CA : Public Library of Science |
| مواضيع طبية MeSH: | Data Mining*, Humans ; Job Description ; Altruism ; Personnel Selection ; Relief Work/economics |
| مستخلص: | Purpose: Uncertainty and complexity have increased in recent decades, posing new challenges to humanitarian organisations. This study investigates whether using standard terminology in Human Resource Management processes can support the Humanitarian supply chain in attracting and maintaining highly skilled operators. Methodology: We exploit text mining to compare job vacancies on ReliefWeb, the reference platform for humanitarian job seekers, and ESCO, the European Classification of Skills, Competencies, and Occupations. We measure the level of alignment in these two resources, providing quantitative evidence about terminology standardisation in job descriptions for supporting HR operators in the Humanitarian field. Findings: The most in-demand skills, besides languages, relate to resource management and economics and finance for capital management. Our results show that job vacancies for managerial and financial profiles are relatively more in line with the European database than those for technical profiles. However, the peculiarities of the humanitarian sector and the lack of standardisation are still a barrier to achieving the desired level of coherence with humanitarian policies. Competing Interests: The authors have declared that no competing interests exist. (Copyright: © 2024 Spada et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.) |
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| تواريخ الأحداث: | Date Created: 20240710 Date Completed: 20240710 Latest Revision: 20240712 |
| رمز التحديث: | 20240712 |
| مُعرف محوري في PubMed: | PMC11236101 |
| DOI: | 10.1371/journal.pone.0305961 |
| PMID: | 38985717 |
| قاعدة البيانات: | MEDLINE |
Full Text Finder | تدمد: | 1932-6203 |
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| DOI: | 10.1371/journal.pone.0305961 |