A logistic regression model of customer satisfaction of airline

dc.contributor.authorPeter, Josephat
dc.contributor.authorAbbas, Ismail
dc.date.accessioned2020-03-19T11:22:57Z
dc.date.available2020-03-19T11:22:57Z
dc.date.issued2012
dc.descriptionFull Text Article Also available at: http://dx.doi.org/10.5296/ijhrs.v2i4.2868en_US
dc.description.abstractEvaluation of customer satisfaction differs from one study to another. Studies have been differing with their focus and coverage. Most of studies focused on evaluating factors influencing customer satisfaction or associate customer satisfaction and quality of services. This paper used logistic regression to develop customer satisfaction model for Precision Air. Five dimensions or variables have been considered: on time performance; aircraft safety; schedule integrity; on board services; and customer service. Data used in this paper were collected from four major regions with many flights. These include Dar es Salaam, Mwanza, Arusha and Kilimanjaro. A sample size of 272 passengers was selected. Convenience sampling was used to select the respondents. Primary data were collected in the field through questionnaire. Findings showed that out of the five independent variables only one variable is negatively related with satisfaction of airline passengers (customer services). In contrast, on time performance was satisfactory variable by most of passengers compared to the rest of explanatory variables. Airline safety, schedule integrity and on board services are positively related with passengers satisfaction. Relationship between customer services and satisfaction are negatively related which implies that, there is a need of finding strategies to improve customer services to customers. The paper recommends that the airline should maintain and improve on time performance as this is crucial variable for passenger’s satisfaction but other variables need more improvement.en_US
dc.identifier.citationJosephat, P., & Ismail, A. (2012). A logistic regression model of customer satisfaction of airline. International Journal of Human Resource Studies, 2(4), 197.en_US
dc.identifier.urihttp://hdl.handle.net/20.500.12661/2212
dc.language.isoenen_US
dc.publisherMacrothink Instituteen_US
dc.subjectLogisticen_US
dc.subjectLogiten_US
dc.subjectDimensionen_US
dc.subjectAircraft safetyen_US
dc.subjectSchedule integrityen_US
dc.subjectOn Board Servicesen_US
dc.subjectCustomer serviceen_US
dc.subjectAirline operationsen_US
dc.subjectCustomer satisfactionen_US
dc.subjectPrecision airen_US
dc.titleA logistic regression model of customer satisfaction of airlineen_US
dc.typeArticleen_US
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