Please use this identifier to cite or link to this item: https://rda.sliit.lk/handle/123456789/2023
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dc.contributor.authorDias, N-
dc.contributor.authorCooray, T. M. J. A-
dc.contributor.authorRajapakse, W-
dc.date.accessioned2022-04-22T10:01:27Z-
dc.date.available2022-04-22T10:01:27Z-
dc.date.issued2018-12-13-
dc.identifier.issn0975-4172-
dc.identifier.urihttp://rda.sliit.lk/handle/123456789/2023-
dc.description.abstractThis study has mainly focused on the use of multinomial logistic regression in predicting employee satisfaction of the academics in Sri Lankan universities. A questionnaire was used to gather data from acdemics and it is prepared to collect demographic data and eight main factors. Demographic factors were analyzed with multinomial logistic regression, and it resulted in three elements namely, sector, salary, and gender. Before examining the main factors in the questionnaire, a reliability analysis was done. Factors were analyzed with multinomial logistic regression and resulted in different models and the best model out of all is presented inthis paper. By comparing the models with R-squared values, goodness-of-fit statistics and residuals, the best model was obtained. This study revealed thatfitting of the abilities and knowledge with the job, ability to use the full potential in work, superior behavior and freedom are significant factors in predicting employee satisfaction of academics in Sri Lankan universities.en_US
dc.language.isoenen_US
dc.publisherGlobal Journalsen_US
dc.relation.ispartofseriesGlobal Journal of Computer Science and Technology;Vol 18, No 3-D (2018)-
dc.subjectemployee satisfactionen_US
dc.subjectmultinomial logistic regressionen_US
dc.subjectdemographic dataen_US
dc.subjectacademicsen_US
dc.titleEmployee Satisfaction of Academics in Sri Lanka: A Logistic Regression Approachen_US
dc.typeArticleen_US
Appears in Collections:Research Papers
Research Papers - Dept of Business
Research Papers - Open Access Research
Research Papers - SLIIT Staff Publications

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