Application of Artificial Neural Networks to assess the effects of incivility on job satisfaction through emotional exhaustion

Abstract

Purpose: This study articulates contribution to understand effect of workplace incivility experience sourced from supervisor and co-worker through emotional exhaustion on job satisfaction based on COR theory at practical and academic junction.

Methods: Linear regression through structural equation modelling and non-linear techniques through artificial neural networks were applied for reliable predictability between relationships in survey sample from healthcare nurses in Pakistan.

Findings: The obtained results from the SEM as well as ANN indicated that supervisor and co-worker incivility exhaust the employee emotions that has an overall  acts as a negative effect, adding to the detriment of the job satisfaction of nurses in public healthcare hospitals.

Originality: Supervisor and co-worker incivility are negative features that reduce the satisfaction in profession nurses through emotional exhaustion. This study develops understanding regarding the effect of incivility on job satisfaction in Asian public work settings context. This paper discusses the implications of urgency to make work settings a better place for workforce at all levels.