Scientific journal paper Q2
Validation of a job satisfaction scale for predicting employee churn in commercial airlines in Portugal
António Pimenta de Brito (Brito, A. P. de.); Ana Palma-Moreira (Palma-Moreira, A.); Maria José Sousa (Sousa, M. J.);
Journal Title
Industrial and Commercial Training
Year (definitive publication)
N/A
Language
English
Country
United Kingdom
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Abstract
Purpose The purpose of this study is to validate a job satisfaction scale that can predict employee churn for Portuguese commercial airline companies. Design/methodology/approach A total of 369 subjects voluntarily participated in this study, all of whom worked for commercial air transport companies. An exploratory and confirmatory factor analysis was carried out to test the instrument. Findings The results of the psychometric qualities of this instrument indicate that it can be used in future empirical studies. This instrument assesses various dimensions of job satisfaction: leadership, safety, work/life balance, career and pay. Research limitations/implications One of the limitations of this study is the small sample size and the data collection process. Another limitation is that the questionnaire is self-administered and consists of closed questions. Practical implications This turnover, satisfaction and performance assessment can be critical, especially when companies struggle with high employee turnover like aviation companies. Aviation professionals are a very skilled profession, with high qualification costs. Social implications By providing a reliable tool to measure and improve job satisfaction, the research can help reduce employee turnover, leading to more stable employment in the airline industry in Portugal and other countries. Originality/value By presenting a validated job satisfaction scale tailored for predicting employee churn specifically within Portuguese commercial aviation companies. This concern benefits employees’ mental health, job security and enhances service quality for passengers.
Acknowledgements
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Keywords
Airlines,Employee churn,HR analytics,Job satisfaction,Quantitative study,Scale
  • Economics and Business - Social Sciences
  • Educational Sciences - Social Sciences