Artikel

Examining the moderating role of workload in the relationship between emotional intelligence and caring behavior in healthcare organizations

Caring behavior is fundamental in the healthcare setting. This study examined the moderation role of workload in predicting the relationship between emotional intelligence and caring behavior in healthcare organizations. This study is a quantitative, cross-sectional survey, and data was collected through a self-administered questionnaire. The sample comprises 121 healthcare professionals, including medical doctors, nurses, pharmacists, laboratory scientists, and medical records officers in publicly-owned hospitals. The sample size consists of 30% males and 70% of females with a mean age of 41.32 years (SD = 10.25). Results revealed that emotional intelligence has a positive and significant predictive relationship with caring behavior, and that workload has a negative but non-significant interaction effect in the relationship. The findings suggest that emotional intelligence and the volume of work tasks employees are engaged in could have an impact on work outcomes. This knowledge has practical implications for human resource management in terms of recruitment, selection, job assignment, and further training of employees.

Sprache
Englisch

Erschienen in
Journal: International Journal of Business Science & Applied Management (IJBSAM) ; ISSN: 1753-0296 ; Volume: 15 ; Year: 2020 ; Issue: 1 ; Pages: 17-29 ; s.l.: International Journal of Business Science & Applied Management

Klassifikation
Management
Thema
emotional intelligence
cross-sectional design
workload
affective event theory
healthcare organizations

Ereignis
Geistige Schöpfung
(wer)
Nwanzu, Chiyem Lucky
Babalola, Sunday Samson
Ereignis
Veröffentlichung
(wer)
International Journal of Business Science & Applied Management
(wo)
s.l.
(wann)
2020

Handle
Letzte Aktualisierung
10.03.2025, 11:45 MEZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Artikel

Beteiligte

  • Nwanzu, Chiyem Lucky
  • Babalola, Sunday Samson
  • International Journal of Business Science & Applied Management

Entstanden

  • 2020

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