Pandemic pains to Instagram gains! COVID-19 perceptions effects on behaviours towards fashion brands on Instagram in Sub-Saharan Africa: tech-native vs non-native generations

Ali B. Mahmoud, Joan Ball, Daniel Rubin, Leonora Fuxman, Iris Mohr, Dieu Hack-Polay, Nicholas Grigoriou, Aziz Wakibi

Research output: Contribution to journalArticleResearchpeer-review

Abstract

This study represents a novel attempt to investigate the cascading effects of COVID-19 perceptions onto behavioural patterns towards fashion brands on Instagram and across two generations tech-native vs tech non-native) in a Sub-Saharan African context. We drew our study on a sample of 338 Instagram users that experienced fashion brands on Instagram in two Sub-Saharan African countries: Uganda and Nigeria. We used partial least square structural equation modelling (PLS-SEM) to test the hypothetical model. We found that COVID-19 perception positively predicted enjoyment and usefulness, leading to more satisfaction with fashion brand accounts on Instagram and hence greater intention to follow and recommend those accounts. Finally, running a multigroup analysis (MGA), we found the effects of COVID-19 perceptions pronounced into both intentions to follow and intention to recommend via the sequence of mediators: enjoyment and satisfaction were only valid amongst the tech-native generational cohort. Our research suggested a new generational categorisation based on technology nativity–offering a new direction of generational studies in digital marketing communications.

Original languageEnglish
Pages (from-to)864-888
Number of pages25
JournalJournal of Marketing Communications
Volume28
Issue number8
DOIs
Publication statusPublished - 2022

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 12 - Responsible Consumption and Production
    SDG 12 Responsible Consumption and Production

Keywords

  • attitudes
  • branding
  • consumer behaviour
  • fashion
  • Instagram
  • Social media marketing
  • Sub-Saharan Africa
  • technology-based generational differences

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