• Home
  • Browse
    • Current Issue
    • By Issue
    • By Author
    • By Subject
    • Author Index
    • Keyword Index
  • Journal Info
    • About Journal
    • Aims and Scope
    • Editorial Board
    • Publication Ethics
    • Peer Review Process
  • Guide for Authors
  • Submit Manuscript
  • Contact Us
 
  • Login
  • Register
Home Articles List Article Information
  • Save Records
  • |
  • Printable Version
  • |
  • Recommend
  • |
  • How to cite Export to
    RIS EndNote BibTeX APA MLA Harvard Vancouver
  • |
  • Share Share
    CiteULike Mendeley Facebook Google LinkedIn Twitter
Helwan International Journal for Nursing Research and Practice
arrow Articles in Press
arrow Current Issue
Journal Archive
Volume Volume 4 (2025)
Volume Volume 3 (2024)
Issue Issue 8
Issue Issue 7
Issue Issue 6
Issue Issue 5
Volume Volume 2 (2023)
Volume Volume 1 (2022)
Abo shama, S. (2024). The Relation between Toxic Leadership and Counterproductive Work Behavior among Nursing Personnel. Helwan International Journal for Nursing Research and Practice, 3(8), 383-397. doi: 10.21608/hijnrp.2025.325254.1233
Shaimaa Salah Abo shama. "The Relation between Toxic Leadership and Counterproductive Work Behavior among Nursing Personnel". Helwan International Journal for Nursing Research and Practice, 3, 8, 2024, 383-397. doi: 10.21608/hijnrp.2025.325254.1233
Abo shama, S. (2024). 'The Relation between Toxic Leadership and Counterproductive Work Behavior among Nursing Personnel', Helwan International Journal for Nursing Research and Practice, 3(8), pp. 383-397. doi: 10.21608/hijnrp.2025.325254.1233
Abo shama, S. The Relation between Toxic Leadership and Counterproductive Work Behavior among Nursing Personnel. Helwan International Journal for Nursing Research and Practice, 2024; 3(8): 383-397. doi: 10.21608/hijnrp.2025.325254.1233

The Relation between Toxic Leadership and Counterproductive Work Behavior among Nursing Personnel

Article 1, Volume 3, Issue 8, December 2024, Page 383-397  XML PDF (1016.95 K)
Document Type: Scientific Research Periodical
DOI: 10.21608/hijnrp.2025.325254.1233
View on SCiNiTO View on SCiNiTO
Author
Shaimaa Salah Abo shama email
Nursing Administration, Faculty of Nursing Helwan University, Cairo, Egypt
Abstract
Background: Toxic leadership is a combination of self-centered attitudes and behaviors that negatively affect employees and lead them to engage in counterproductive work behaviors which also affect patients’ outcomes. Aim: This study aimed to exploring the relation between Toxic Leadership and Counterproductive Work Behavior among Nursing Personnel. Setting: The study was conducted at all available department at Badr university hospital which is affiliated to Helwan university hospitals. Research design: A descriptive, correlational design was used. Subjects: The subjects of this study included all nursing personnel who are working at the time of data collection. The study sample was (n=107) of nursing personnel. Data collection tools: The data were collected by using two tools namely; Toxic leadership scale and Counterproductive Work Behavior Questionnaire. Results: The study revealed that total high mean score of toxic leadership was 66.26±21.3 as perceived by the studied nursing personnel while; total high mean score of counterproductive work behavior was 86.49±20.4 among the studied nursing personnel. Conclusion: There was a highly strong statistically significant positive correlation between toxic leadership and counterproductive work behavior among the studied nursing personnel. Recommendations: establish clear policies regarding acceptable behavior and workplace standards. Inspiration ethical leadership within the organization. Leaders should demonstrate integrity, fairness, and professionalism, and positively affected on nursing personnel.
Keywords
Counterproductive Work Behavior; Nursing Personnel; Toxic Leadership
Main Subjects
Nursing Administration.
Statistics
Article View: 116
PDF Download: 141
Home | Glossary | News | Aims and Scope | Sitemap
Top Top

Journal Management System. Designed by NotionWave.