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

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dc.contributor.authorKalawilapathirage, Hansani
dc.contributor.authorOmisakin, Olufemi
dc.contributor.authorZeidan, Susan
dc.date.accessioned2020-02-05T16:39:20Z
dc.date.available2020-02-05T16:39:20Z
dc.date.copyright2019en_US
dc.date.issued2019
dc.descriptionThis 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.abstractIntense 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.identifier.citationKalawilapathirage, 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/S0219649219500035en_US
dc.identifier.issn02196492
dc.identifier.urihttp://dx.doi.org/10.1142/S0219649219500035
dc.identifier.urihttps://hdl.handle.net/20.500.12519/112
dc.language.isoenen_US
dc.publisherWorld Scientific Publishing Co. Pte Ltden_US
dc.relationAuthors 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.ispartofseriesJournal of Information and Knowledge Management;Vol. 18, no. 1
dc.rightsPermission to reuse abstract has been secured from World Scientific Publishing Co. Pte Ltd.
dc.rights.holderCopyright : 2019 World Scientific Publishing Co.
dc.subjectFinancial rewardsen_US
dc.subjectFinancial satisfactionen_US
dc.subjectJob satisfactionen_US
dc.subjectTraining and developmenten_US
dc.subjectWork environmenten_US
dc.subjectBudget controlen_US
dc.subjectEmploymenten_US
dc.subjectFinanceen_US
dc.subjectHuman engineeringen_US
dc.subjectHuman resource managementen_US
dc.subjectRegression analysisen_US
dc.subjectStatistical mechanicsen_US
dc.subjectSurveysen_US
dc.subjectCorrelation and regression analysisen_US
dc.subjectFinancial rewardsen_US
dc.subjectIndependent variablesen_US
dc.subjectInitial contact pointen_US
dc.subjectQuantitative approachen_US
dc.subjectWork environmentsen_US
dc.subjectAir transportationen_US
dc.titleA data analytic approach of job satisfaction : a case study on airline industryen_US
dc.typeArticleen_US
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