A data analytic approach of job satisfaction : a case study on airline industry

Date
2019
Authors
Kalawilapathirage, Hansani
Omisakin, Olufemi
Zeidan, Susan
Journal Title
Journal ISSN
Volume Title
Publisher
World Scientific Publishing Co. Pte Ltd
Abstract
Intense competition has made it critical for airlines to retain its highly capable staff by ensuring the highest job satisfaction of its employees. This competition has resulted from the emergence of budget airlines focussed on a niche market. To provide a differentiated passenger experience whilst flying with airlines, the management should ensure that all the staff, including ground level and cabin crew, who are the initial contact point with customers are highly satisfied in terms of their job roles. The study evaluates human resource (HR) factors affecting job satisfaction with a given (anonymous) airline. A detailed study and analysis of major factors contributing to job satisfaction in the said airline was carried out. In analysing the relationship and current level of job satisfaction, the study uses a quantitative approach, with primary data obtained from questionnaires completed by employees in one of the airlines. Further, the study has identified independent variables as being financial rewards and recognition, training and development, and work environment. Statistical tools, such as correlation and regression analysis, are used to evaluate the responses from questionnaires and to provide significance of the independent variables contributing to job satisfaction. © 2019 World Scientific Publishing Co.
Description
This article is not available at CUD collection. The version of scholarly record of this article is published in Journal of Information and Knowledge Management (2019), available online at: https://doi.org/10.1142/S0219649219500035.
Keywords
Financial rewards, Financial satisfaction, Job satisfaction, Training and development, Work environment, Budget control, Employment, Finance, Human engineering, Human resource management, Regression analysis, Statistical mechanics, Surveys, Correlation and regression analysis, Financial rewards, Independent variables, Initial contact point, Quantitative approach, Work environments, Air transportation
Citation
Kalawilapathirage, H., Omisakin, O., & Zeidan, S. (2019). A data analytic approach of job satisfaction: A case study on airline industry. Journal of Information and Knowledge Management, 18(1). https://doi.org/10.1142/S0219649219500035