Purpose: This study investigates the hedonic shopping values of Generation Z in the context of online second-hand fashion shopping, focusing on how environmental concerns, ethical reverence, and cost considerations influence their behaviors. This study delves into the existing research gaps by examining the complex interplay between hedonic values and pro-environmental behaviors, especially among younger consumers. Theoretical background: Background and theory highlight the increasing consumer awareness regarding the environmental impacts of fast fashion, leading to a shift towards sustainable alternatives such as second-hand shopping with low costs as a priority. The sections note that this trend is particularly pronounced among Generation Z, a demographic known for their digital nativity and strong ethical consciousness. Theoretical foundations address the high consumption of textiles and the corresponding environmental impact, underscoring the importance of promoting a circular economy in Sweden. Method: The quantitative data was collected through online surveys, which yielded 388 responses and was analyzed using SPSS. The results of all four hypotheses were accepted through Cronbach’s Alpha and Pearson Correlation Coefficient, and further analyzed through a regressionanalysis. Result & Conclusion: The results showed that all four hypotheses were accepted, with Hypothesis 3 having the weakest connection regarding the hedonic shopping value in the context of online second-hand purchases. Generation Z demonstrates an ability to prioritize ethical reasons over personal reasons and pleasure in their purchases, creating a complex paradox that influenced the conclusion and led to an updated conceptual framework where ethical reverence is no longer linked to Hypothesis 1, despite the general presence of hedonic shopping value among Generation Z. Future research is recommended to compare Generation Z with other demographic groups and conduct in-depth studies to observe how behavior changes over time within the same context.