A Data Analytic Approach of Job Satisfaction: A Case Study on Airline Industry

Hansani Kalawilapathirage (), Olufemi Omisakin () and Susan Zeidan ()
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Hansani Kalawilapathirage: Business Management Department, Auckland, Nelson Marlborough Institute Technology, Campus, New Zealand
Olufemi Omisakin: Business Management Department, Auckland, Nelson Marlborough Institute Technology, Campus, New Zealand
Susan Zeidan: #x2020;Canadian University Dubai, Dubai

Journal of Information & Knowledge Management (JIKM), 2019, vol. 18, issue 01, 1-15

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.

Keywords: Job satisfaction; financial rewards; financial satisfaction; work environment; training and development (search for similar items in EconPapers)
Date: 2019
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Citations: View citations in EconPapers (2)

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DOI: 10.1142/S0219649219500035

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