With the consolidation of online shopping, there is a need to gain insight into consumer decision-making within the digital sphere. The purpose of this study was to investigate factors that influence online shopping intention of fashion products, among female Millennials. By means of a proposed conceptual model, seven hypotheses were tested and data was collected from three hundred young females in South Africa. The data analysis was conducted using SEM in SPSS 23 and AMOS 23, and the results indicated that four of the seven hypotheses were supported. The results from this study provide online fashion retailers with insight into how they can utilise online shopping platforms to reap the financial results from this concept.

Unlike slow fashion that takes workers, consumers and environmental welfare into consideration, fast fashion is criticized for neglecting these. This study investigates attitudes and adoption intention of the slow fashion concept among young adults in South Africa, a highly socio-economically unequal emerging market. An extended information adoption model will be adapted and tested through a self-administered survey of 300 respondents. The results will provide marketing professionals, environmental and consumer interest groups and policy makers with valuable insight into barriers and motivators of slow fashion idea adoption among young adults who are a large, influential and profitable consumer segment.