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An exploratory analysis of observed and latent variables affecting intercity train service quality in developing countries
D. M. Ghius Malik - Personal Name
Sanjana Hossain1 • - Personal Name
Nahid Parvez Farazi1 - Personal Name
Service quality (SQ) and customer satisfaction as perceived by 1037 passengers
on intercity train services in Bangladesh were examined using structural equation modeling
to explain the overall SQ of intercity train service. This study presents two structural
equation models to reveal the influence of the observed variables on the SQ of intercity
train service in the context of a developing country. Out of the two models, the best one is
selected based on statistical parameters and resemblance with real life expectations. The
framework of the models is based on eighteen observed variables; among them five were
considered as endogenous and rest of the thirteen as exogenous variables. The number of
latent variables used in the models is one, which is confirmed by the factor analysis. Out of
the eighteen observed variables, ‘Overall security’, ‘Female harassment’, ‘Fitness of
compartment’ and ‘Waiting place condition’ are found to be the variables which predominantly
influence SQ. Moreover, the effect of heterogeneity among users on the performance
of the best model is investigated. All the study findings match the real life
scenario of a developing country. Acknowledging limited resources of a developing
country, the present study provides a guideline to the railway operator for making the
intercity train service more attractive for both prospective and existing users.
on intercity train services in Bangladesh were examined using structural equation modeling
to explain the overall SQ of intercity train service. This study presents two structural
equation models to reveal the influence of the observed variables on the SQ of intercity
train service in the context of a developing country. Out of the two models, the best one is
selected based on statistical parameters and resemblance with real life expectations. The
framework of the models is based on eighteen observed variables; among them five were
considered as endogenous and rest of the thirteen as exogenous variables. The number of
latent variables used in the models is one, which is confirmed by the factor analysis. Out of
the eighteen observed variables, ‘Overall security’, ‘Female harassment’, ‘Fitness of
compartment’ and ‘Waiting place condition’ are found to be the variables which predominantly
influence SQ. Moreover, the effect of heterogeneity among users on the performance
of the best model is investigated. All the study findings match the real life
scenario of a developing country. Acknowledging limited resources of a developing
country, the present study provides a guideline to the railway operator for making the
intercity train service more attractive for both prospective and existing users.
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