Analyzing consumer behavior and interventions to reduce fashion waste based on the comprehensive action determine model
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Date
2025Author
Kuo, Tsai Chi
Oseasky, Alda Bella
Pan, Shu-Yuan
Chang, Ching-Hsun
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This study investigates consumer behaviour regarding fashion products, specifically within the context of
frugal living, to promote environmental sustainability and substantially reduce fashion waste. Using the Comprehensive
Action Decision Making Model (CADM) based on Inference Theory, the research employs rigorous statistical
analyses, including repeated measures ANOVA, the Scheffé test, and Pearson correlation. We systematically assessed
three intervention strategies: basic environmental knowledge, cost considerations, and benchmarking information. The
results indicated that the mean scores for the first intervention were statistically similar to those of the second intervention.
However, the difference between the second and the third intervention was significantly notable, with the third
strategy yielding a lower mean score. Moreover, the repeated measures ANOVA revealed substantial differences among
the three interventions, strongly supporting our hypothesis with relevant p-values. Ultimately, this study convincingly
demonstrated that the third intervention, which focused on benchmarking information, was the most effective in influencing
consumers’ behaviour towards sustainable fashion choices. This also highlights the nudge strategy of fashion
waste reduction promotion is significant for the Indonesia people.
Issue date (year)
2025Author
Kuo, Tsai ChiThe following license files are associated with this item: