Omnichannel shopper behaviour in the emerging South African Fourth Industrial Revolution environment
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Abstract
The Fourth Industrial Revolution (4IR) is transforming global retail through emerging
technologies such as artificial intelligence, mobile applications, and social media platforms. In
South Africa, where digital adoption is rising amid unique socio-economic challenges, the
omnichannel retail model has gained relevance. Yet, limited empirical research examines how
South African consumers navigate omnichannel environments, particularly across different
product types.
This study investigates omnichannel shopper behaviour in South Africa within the 4IR context,
comparing decision-making for high-involvement (smartphones) and low-involvement
(groceries) products. Using a quantitative, cross-sectional design, data were collected from
428 purposively sampled omni-shoppers within socio-economic measures (SEMs) 6–10. A
single questionnaire was administered to all respondents, with separate sections for each
product category, ensuring equal sample sizes (n = 428). Structural Equation Modelling (SEM)
tested a conceptual framework integrating behavioural theories and digital enablers.
Findings show that, for high-involvement purchases, extensive information search and
perceived risk significantly influenced purchase behaviour, with AI tools and social media
exerting strong effects during the pre-purchase stage. Low-involvement decisions were
shaped mainly by convenience and affordability, with AI and social media playing a supportive
role. Both models confirm and extend the Technology Acceptance Model (TAM), Theory of
Planned Behaviour (TPB), and Consumer Decision-Making Model (CDM) within an emerging
market. Recommendations include leveraging AI and social media for engagement,
integrating online–offline channels for convenience, reducing perceived risks, and adopting
mobile-first strategies to expand reach.
This research delivers a validated omnichannel shopper model tailored to South Africa’s 4IR
retail environment, advancing theoretical understanding and providing actionable insights for
retailers and policymakers seeking inclusive, technology-driven strategies.
Description
Submitted in fulfilment of the requirements of the degree of Doctor of Philosophy in Marketing, Durban University of Technology, Durban, South Africa, 2025.
Citation
DOI
https://doi.org/10.51415/10321/6271
