Effects of Training and Development and Compensation on Employee Engagement among Flight Attendants in a Commercial Airline in the Philippines

Mba Mr. Mark Ian C. Abrias
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Mba Mr. Mark Ian C. Abrias: Student, Doctor in Business Administration (DBA), San Beda University, Manila, Philippines

International Journal of Research and Scientific Innovation, 2024, vol. 11, issue 11, 470-481

Abstract: It has been established that training and development as well as compensation could greatly influence job satisfaction. However, only a few studies have explored its influence on employee engagement most especially in growing airline industries. The goal of this study is to uncover the level and interplay between training and development, compensation, and employee engagement through correlational design. A valid and reliable researcher-made instrument was utilized, covering the entire population in a Commercial Airline. This approach allows for the generalizability of the findings to the broader context of the organization. Weighted mean, standard deviation, and regression analysis were used to interpret the results. The significant findings are respondents have high positive perception towards training and development mainly, followed by employee engagement then compensation. The strengths of the company involve having trainings relevant to the respondents’ jobs as it is also highly rated that they seek for learning, growth, and development in their current role. The areas for enrichment includes training sessions that are convenient in terms of time, and location, having competitive salaries, feeling proud to be part of the organization, and the need to offer flexible working arrangements. Both training and development and compensation can predict employee engagement but training and development have a large significant impact leading to the recommendation that it has to be prioritized. Other recommendations include targeting identified areas for enrichment, and addressing the limitations of the study such as being cross-sectional, based on single data, and confiding in just one industry hence, confirmatory studies should be implemented before adhering to recommendations.

Date: 2024
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