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

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dc.contributor.author Kalawilapathirage, Hansani
dc.contributor.author Omisakin, Olufemi
dc.contributor.author Zeidan, Susan
dc.date.accessioned 2020-02-05T16:39:20Z
dc.date.available 2020-02-05T16:39:20Z
dc.date.copyright 2019 en_US
dc.date.issued 2019
dc.identifier.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 en_US
dc.identifier.issn 02196492
dc.identifier.uri http://dx.doi.org/10.1142/S0219649219500035
dc.identifier.uri https://hdl.handle.net/20.500.12519/112
dc.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. en_US
dc.description.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. en_US
dc.language.iso en en_US
dc.publisher World Scientific Publishing Co. Pte Ltd en_US
dc.relation Authors affiliations: Kalawilapathirage, H., Business Management Department, Nelson Marlborough Institute Technology, Auckland Campus, New Zealand; Omisakin, O., Business Management Department, Nelson Marlborough Institute Technology, Auckland Campus, New Zealand; Zeidan, S., Canadian University Dubai, Dubai, United Arab Emirates
dc.relation.ispartofseries Journal of Information and Knowledge Management;Vol. 18, no. 1
dc.rights Permission to reuse abstract has been secured from World Scientific Publishing Co. Pte Ltd.
dc.subject Financial rewards en_US
dc.subject Financial satisfaction en_US
dc.subject Job satisfaction en_US
dc.subject Training and development en_US
dc.subject Work environment en_US
dc.subject Budget control en_US
dc.subject Employment en_US
dc.subject Finance en_US
dc.subject Human engineering en_US
dc.subject Human resource management en_US
dc.subject Regression analysis en_US
dc.subject Statistical mechanics en_US
dc.subject Surveys en_US
dc.subject Correlation and regression analysis en_US
dc.subject Financial rewards en_US
dc.subject Independent variables en_US
dc.subject Initial contact point en_US
dc.subject Quantitative approach en_US
dc.subject Work environments en_US
dc.subject Air transportation en_US
dc.title A data analytic approach of job satisfaction : a case study on airline industry en_US
dc.type Article en_US
dc.rights.holder Copyright : 2019 World Scientific Publishing Co.


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