Exportar Publicação

A publicação pode ser exportada nos seguintes formatos: referência da APA (American Psychological Association), referência do IEEE (Institute of Electrical and Electronics Engineers), BibTeX e RIS.

Exportar Referência (APA) 
Leandro, C., Ramos, R. & Moro, S. (2019). Anticipating the duration of public administration employees' future absences. Public Administration Issues. 6, 23-40
Exportar Referência (IEEE) 
L. Costa et al.,  "Anticipating the duration of public administration employees' future absences", in Public Administration Issues, vol. 6, pp. 23-40, 2019
Exportar BibTeX 
@article{costa2019_1732211257165,
	author = "Leandro, C. and Ramos, R. and Moro, S.",
	title = "Anticipating the duration of public administration employees' future absences",
	journal = "Public Administration Issues",
	year = "2019",
	volume = "6",
	number = "",
	pages = "23-40",
	url = "https://vgmu.hse.ru/en/"
}
Exportar RIS 
TY  - JOUR
TI  - Anticipating the duration of public administration employees' future absences
T2  - Public Administration Issues
VL  - 6
AU  - Leandro, C.
AU  - Ramos, R.
AU  - Moro, S.
PY  - 2019
SP  - 23-40
SN  - 1999-5431
UR  - https://vgmu.hse.ru/en/
AB  - Absenteeism aff ects state-owned companies who are obliged to undertake strategies
to prevent it, be efficient and conduct eff ective human resource (HR) management. This
paper aims to understand the reasons for Public Administration Employees’ (PAE) absenteeism and predict future employee absences. Data from 17,600 PAE from seven public databases regarding their 2016 absences was collected, and the Recency, Frequency and Monetary (RFM) and Support Vector Machine (SVM) algorithm was used for modeling the absence duration, backed up with a 10-fold cross-validation scheme. Results revealed that the worker profi le is less relevant than the absence characteristics. The most concerning employee profi le was uncovered, and a set of scenarios is provided regarding the expected days of absence in the future for each scenario. The veracity of the absence motives could not be proven and thus are totally reliable. In addition, the number of records of  one absence day was disproportionate to  the other records. The findings are of value to the Human Capital Management department in order to support their decisions regarding the allocation of workers and productivity management and use these valuable insights in the recruitment process. Until now, little has been known concerning the characteristics that aff ect PAE absenteeism, therefore enriching the necessity for further understanding of this matter in this particular.
ER  -