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Exploring artificial intelligence in marketing: A South African perspective of adoption, usage and motivational drivers

Thesis (MCom)--Stellenbosch University, 2026.

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Main Author: In-Albon, Livia Maria
Other Authors: Human-Van Eck, Debbie
Format: Thesis
Language:English
Published: Stellenbosch : Stellenbosch University 2026
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access_status_str Open Access
author In-Albon, Livia Maria
author2 Human-Van Eck, Debbie
author_browse Human-Van Eck, Debbie
In-Albon, Livia Maria
author_facet Human-Van Eck, Debbie
In-Albon, Livia Maria
author_sort In-Albon, Livia Maria
collection Thesis
dc_rights_str_mv Stellenbosch University
description Thesis (MCom)--Stellenbosch University, 2026.
format Thesis
id oai:scholar.sun.ac.za:10019.1/136071
institution Stellenbosch University (South Africa)
language English
last_indexed 2026-06-10T12:41:23.238Z
license_str Other — see source repository
provenance_str_mv Harvested via OAI-PMH from SUNScholar — Stellenbosch University Repository
publishDate 2026
publishDateRange 2026
publishDateSort 2026
publisher Stellenbosch : Stellenbosch University
publisherStr Stellenbosch : Stellenbosch University
record_format dspace
source_str SUNScholar — Stellenbosch University Repository
spelling oai:scholar.sun.ac.za:10019.1/136071 Exploring artificial intelligence in marketing: A South African perspective of adoption, usage and motivational drivers In-Albon, Livia Maria Human-Van Eck, Debbie Stellenbosch University. Faculty of Economic and Management Sciences. Dept. of Business Management. Thesis (MCom)--Stellenbosch University, 2026. In-Albon, L. M. 2026. Exploring artificial intelligence in marketing: A South African perspective of adoption, usage and motivational drivers. Unpublished masters thesis. Stellenbosch: Stellenbosch University [online]. Available: https://scholar.sun.ac.za/items/184e0de6-3ad1-49b5-9b27-f06c90689f42 In today's digital age, personalised marketing and marketing’s ability to adapt are becoming increasingly important. Against this background, this study explores artificial intelligence (AI) in marketing in South Africa. The focus of this research is on how and why brands and marketing agencies within the South African marketing context are adopting and using AI in their marketing. This focus is of central importance due to the immense potential that AI holds to influence marketing performance. It is further relevant due to the ability of new innovations to change the landscape (for instance, policies, legislation, accepted modes of operation) and hence requirements within which such performance takes place. Currently, there is a lack of empirical research that examines how and why firms in emerging markets such as South Africa adopt and use AI in marketing, particularly when integrating motivational, behavioural, individual and firm-level perspectives. To gain a deeper understanding of the adoption and usage of AI by brands and marketing agencies within the South African marketing context (how) and the motivational factors driving these processes (why), qualitative research is employed. More specifically, 21 semi-structured expert interviews are conducted with experienced professionals operating within the South African fast-moving consumer goods (FMCG) marketing sector. The sample includes brand-side professionals from multinational and large FMCG companies as well as experts from creative, digital, full-service, advertising, performance and communications marketing agencies that work with brands in the FMCG sector as clients. This sample allows for the exploration and understanding of complex mechanisms behind the adoption and usage of AI in marketing. The study’s inquiry is guided by theories such as the basic motivational model, the self-determination theory, the theory of planned behaviour, the technology acceptance model and the diffusion of innovation theory. The findings of this research reveal that AI adoption in South African FMCG marketing is driven by a mix of informal individual initiatives and formal firm-level drivers, with top-down processes appearing more often in practice than bottom-up initiatives. At its core, adoption and usage of AI commence with a sense of security, competence, autonomy and firm-level support. Marketing agencies are generally more advanced and experimental in their usage of AI, applying it across more areas of applications and using a greater variety of tools than brands. The findings from this research contribute to closing the existing research gap by deepening the understanding of how and why AI is adopted and used in marketing, in particular by including the motivational factors driving these processes within the South African FMCG marketing context. Based on the theoretical foundations and empirical findings of this study, the research proposes a conceptual framework that illustrates how factors at the individual level, brand level and marketing agency level, as well as motivation, acceptance, intention and inhibition mechanisms, interact and influence the adoption and usage of AI in South African FMCG marketing practice. Masters 2026-04-22T05:40:55Z 2026-04-22T05:40:55Z 2026-03 Thesis https://scholar.sun.ac.za/handle/10019.1/136071 en Stellenbosch University 649 pages application/pdf Stellenbosch : Stellenbosch University
spellingShingle In-Albon, Livia Maria
Exploring artificial intelligence in marketing: A South African perspective of adoption, usage and motivational drivers
title Exploring artificial intelligence in marketing: A South African perspective of adoption, usage and motivational drivers
title_full Exploring artificial intelligence in marketing: A South African perspective of adoption, usage and motivational drivers
title_fullStr Exploring artificial intelligence in marketing: A South African perspective of adoption, usage and motivational drivers
title_full_unstemmed Exploring artificial intelligence in marketing: A South African perspective of adoption, usage and motivational drivers
title_short Exploring artificial intelligence in marketing: A South African perspective of adoption, usage and motivational drivers
title_sort exploring artificial intelligence in marketing a south african perspective of adoption usage and motivational drivers
url https://scholar.sun.ac.za/handle/10019.1/136071
work_keys_str_mv AT inalbonliviamaria exploringartificialintelligenceinmarketingasouthafricanperspectiveofadoptionusageandmotivationaldrivers