Predicting nurse's work engagement based on innovative organizational climate, perceived organizational support and servant leadership

Article Type:
Research/Original Article (بدون رتبه معتبر)
Abstract:
Introduction

Nursing is a stressful profession and repeated stress reduces their work engagement. Therefore, identification of variables related to work engagement is necessary to improve quality of nurse's work .
Aim: This study aimed to predicting nurse's engagement based on innovative organizational climate, perceived organizational support and servant leadership.
Material &

Methods

This study was a descriptive-analytical and cross sectional study. The research population were public sector nurses who working in the hospitals of the Varamin city in 2017. They were selected randomly that by Cochran formula (n=190) estimated. Data were collected by questionnaires of work engagement (Salanova & Schaufeli, 2008), innovative organizational climate (Cigel & Kaumer, 1978), perceived organizational support (Eisenberger & et al, 2001) and servant leadership (Gholipour & Hazrati, 2009), that their reliabilities by Cronbach's alpha were 0/81, 0/77, 0/86 & 0/93. Data were analyzed by Pearson correlation and multiple regression with enter model methods and with SPSS-19 software.

Results

The results showed innovative organizational climate (r=0/315), perceived organizational support (r=0/497) and servant leadership (r=0/382) had a positive and significant relationship with work engagement of nurses. Also the predicted variables significantly could predict 52/9 percent of variance of nurse's work engagement that the share of perceived organizational support was higher than other variables (p≤0/01).

Conclusion

In order to findings, it is suggested that all nurse managers and also other health care administrator make supportive atmosphere by applying servant leadership. If programs planned in regard to these objectives would be improved nurse's work engagement.

Language:
Persian
Published:
Quarterly Journal of Nursing Management, Volume:7 Issue: 1, 2018
Pages:
51 to 60
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