A Quantitative research on customer satisfaction within online second hand shopping

Abstract: Technology is moving forward, as well as the problem with the fast fashion industry. Hence, second hand online shopping is growing because of this. Therefore, the purpose of this thesis is to explain the impacts of perceived quality, customer expectations and trust on customer satisfaction in online second hand shopping? To be able to conduct this research, the theoretical framework includes the dependent variable Customer satisfaction and the three independent variables, perceived quality, customer expectations and trust. These variables led to three hypotheses created by the authors. Through a deductive approach and within quantitative research a questionnaire was made to gather data that was published on social media platforms. The data was collected through convenience sampling within the population chosen. However, both ethical and societal issues have been taken into account while doing the questionnaire and conducting the data. The collected data was runned through SPSS to create statistical models and test the three hypotheses created. Thereafter it could be seen that hypothesis 1 was accepted and hypotheses 2 and 3 were rejected. This concluded that only perceived quality has a positive effect on customer satisfaction in a second hand online shopping context.