Quantifying Forced Citizenship Behaviors among Healthcare Professionals: Data-Driven Insights into Nurse Destructive Leadership Effects

Authors

  • Najma Parveen College of nursing DHQ Hafizabad, Pakistan.
  • Fakhra Irshad College of nursing DHQ Hafizabad, Pakistan.
  • Shazia Jabbar College of nursing DHQ Hafizabad, Pakistan.
  • Aqsa Ahsan College of nursing DHQ Hafizabad, Pakistan.

DOI:

https://doi.org/10.62019/abbdm.v4i1.99

Keywords:

Nurse leadership, Nurse behaviors, nurse emotional exhaustion, compulsory citizenship behaviors, nurse stress

Abstract

Destructive leadership and its outcomes have emerged recently. It has gained much attention in recent decade as it challenges the organizations. Purpose of present study is to explore the destructive leadership as an antecedent for compulsory citizenship behavior and emotional exhaustion in presence of hindrance stress as a mediator. Its quantitative study combined with survey method for data collection. Questionnaires have been adopted and data were collected from healthcare employees (Nurses) working in public sector hospitals in Lahore about the leadership of head nurses. 250 questionnaires were distributed and received 170 valid responses. SPSS has been used for data analysis. Frequency, correlation, descriptive, regression and mediation analysis have been performed to obtain the results. Results highlighted that there is significant positive impact of destructive leadership on compulsory citizenship behavior and emotional exhaustion of employees. Further results also reported that hindrance stress is significant positive mediation between relationship of destructive leadership, compulsory citizenship behaviors and emotional exhaustion of employees. Conclusion, limitations and future directions are provided in later sections of study.

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Published

2024-03-29

How to Cite

Parveen, N., Irshad, F., Jabbar, S., & Ahsan, A. (2024). Quantifying Forced Citizenship Behaviors among Healthcare Professionals: Data-Driven Insights into Nurse Destructive Leadership Effects. The Asian Bulletin of Big Data Management, 4(1), 121–131. https://doi.org/10.62019/abbdm.v4i1.99