Abstract

PurposeThere are many factors that determine consumers’ satisfaction. Specifically, the current study examines how political-economic views affect the perception of public services. This study also aims to extend the relationship between public service satisfaction and political-economic opinion from an empirical perspective.Design/methodology/approachThe analysis process is carried out with the Microdataset of the Life Satisfaction Survey. Independent sample t-test which compares individual public service satisfaction ratings and ordinal probit regression models assesses the impacts of political-economic attitude on public service satisfaction.FindingsAccording to the findings, household size and gender impact public service satisfaction. Again, service satisfaction diminishes as the education level rises. Moreover, a person’s political-economic view affects their public service satisfaction. The study has the potential to literature in terms of determining society’s political-economic view on public services with these empirical results.Research limitations/implicationsThe study’s use of the state as a point of reference and quantitative and qualitative evaluation of the service exchange between the citizen and the state is a significant difference in the literature. Also, unlike the other studies, this one used microdata to test the relationship between the political-economic type and the level of satisfaction with public services at different levels. It is thought that future studies on the determinants of public service satisfaction, to be carried out in different country samples, will contribute to the field.Practical implicationsThis study has implications on whether the perception of public service varies according to partisanship status.Social implicationsThis study has implications on whether the perception of public service varies according to partisanship status.Originality/valueThis study determines the interaction between the political-economic typology derived from microdata and the satisfaction level variables related to public services offered at different levels. It also evaluates how public service satisfaction differs regarding personality traits and political-economic attitudes.

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