Factors influencing Generation Y male students’ fashion leadership: A marketing case


Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License

Fashion leaders significantly contribute to an economy’s clothing segment, given their unique role in influencing fashion followers to purchase fashion clothing. Therefore, this study aimed to determine the factors that influence the sizeable and lucrative Generation Y male student cohort’s fashion leadership. The study conveniently sampled 400 Generation Y male students between 18 and 24 years old enrolled at two public South African higher education institutions. The study used a descriptive research design. A standardized self-administered questionnaire was used to collect the data. Data analysis included computing the descriptive statistics, the internal consistency reliability, the nomological validity, collinearity diagnostics, and multiple linear regression. The study results suggest that although product knowledge, fashion consciousness, mood enhancement, and brand switching behavior have a statistically significant favorable influence on Generation Y male students’ fashion leadership tendencies, decision-making confidence was not a statistically significant predictor. The study offers valuable insights that could assist marketing practitioners and fashion retail stores in understanding and better influencing the Generation Y male cohort’s fashion leadership. This, in turn, will aid them in rethinking and adapting their marketing endeavors to appeal to this market segment.

view full abstract hide full abstract
    • Table 1. Sample profile
    • Table 2. Descriptive statistics, reliability and validity measures, and correlation matrix
    • Table 3. Multi-collinearity diagnostics
    • Table 4. Summary of regression model and ANOVA results
    • Table 5. Contribution of independent variables to predicting male Generation Y students’ fashion leadership tendencies
    • Conceptualization
      Marko van Deventer, Tami Mangezi
    • Data curation
      Marko van Deventer, Tami Mangezi, Ayesha Bevan-Dye
    • Formal Analysis
      Marko van Deventer, Ayesha Bevan-Dye
    • Methodology
      Marko van Deventer, Ayesha Bevan-Dye
    • Project administration
      Marko van Deventer, Tami Mangezi
    • Supervision
      Marko van Deventer
    • Writing – original draft
      Marko van Deventer, Tami Mangezi
    • Writing – review & editing
      Marko van Deventer, Ayesha Bevan-Dye
    • Investigation
      Tami Mangezi
    • Software
      Ayesha Bevan-Dye
    • Validation
      Ayesha Bevan-Dye