Title: Medical tourists perception towards various destination choice factors as a Gujarat state for medical tourism
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Title: |
Medical tourists perception towards various destination choice factors as a Gujarat state for medical tourism |
Author Name: |
Prof. Nirav R. Joshi, Dr. Jaydeep Badiyani |
Abstract: |
Aim/Purpose: To study the perception of medical travelers towards various destination choice factors as a Gujarat state for medical tourism, to study the perception of the medical traveler or tourists towards Gujarat state as a destination choice of medical tourism and to study the scope for medical tourism in Gujarat state.
Research Design: Nature of research is problem identification. The type of research will be exploratory and conclusive descriptive research, i.e. data analysis was quantitative and tests the specific hypothesis. Single cross sectional research design means one sample of respondent has been drawn from the target population and information has been obtained from this sample once. Survey method with a structured questionnaire using likert scale given to the sample of population and designed to elicit specific information from the respondents. Data was collected from existing traveler in the various private hospitals of the Gujarat state.
Sample Design: Target populations were samples, subgroups of a population selected for the study. Sample element would be medical travelers who come in Gujarat for taking a medical treatment, i.e. NRIs, Domestic and foreign travelers. For medical travelers, who are in private or civil hospital, non probability with convenience sampling has been used.
Methods and Materials: Descriptive analysis, One way Anova, Chi Square and Multiple regression model with the help of SPSS software.
Research Outcome: To identify the important variables for destination choice and perception of the medical tourists towards destination choice. Significance P value of F test is 0.000, which is less than 0.05 so, the regression model is significant. Multiple Correlation coefficients between Destination Choice and all predictors simultaneously is 0.955; it indicates strong relationship between the independent and dependent variables. The value of adjusted R Square is 0.911; this means that regression model is explains 91.1% of variance in Destination Choice.
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