AI-adoption attitudes in Southern Africa’s higher education sector: A pilot survey using the capability, opportunity, motivation and behaviour (COM-B) model

Artificial intelligence (AI) drives innovation but faces numerous potential challenges to adoption. This pilot survey applied the capability, opportunity, motivation and behaviour (COM-B) model to examine AI adoption attitudes in the Southern African higher education sector. The study sought to evaluate the extent to which the COM-B framework, rooted in behavioural science, can generate AI-adoption insights that would be complementary to insights generated by established information systems (IS) adoption models, such as the technology acceptance model (TAM) and the unified theory of acceptance and use of technology (UTAUT). Potential facilitators and barriers with respect to adoption of AI tools adoption were mapped against COM-B domains to develop a 10-point Likert-type scale survey that was piloted with 33 individuals working in the Southern African higher education sector. The findings identified key facilitators of AI as adequate technological infrastructure, readiness to address clients’ ethical concerns, and beliefs that AI tools benefit clients. The dominant barrier identified was clients’ potential ethical concerns regarding AI use in decision-making.

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Publication Details

Journal
The African Journal of Information and Communication (AJIC)
Published
2025-08-01
DOI
https://doi.org/10.23962/ajic.i35.21607
Primary Topic
Big Data and Business Intelligence
Type
article
Field-Weighted Citation Impact
0.00

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article

AI-adoption attitudes in Southern Africa’s higher education sector: A pilot survey using the capability, opportunity, motivation and behaviour (COM-B) model

Mark E. Patterson, Johan Breytenbach, Ian Coffman
The African Journal of Information and Communication (AJIC)
Big Data and Business Intelligence
article

AI-adoption attitudes in Southern Africa’s higher education sector: A pilot survey using the capability, opportunity, motivation and behaviour (COM-B) model

Mark E. Patterson, Johan Breytenbach, Ian Coffman
article en

Abstract

Artificial intelligence (AI) drives innovation but faces numerous potential challenges to adoption. This pilot survey applied the capability, opportunity, motivation and behaviour (COM-B) model to examine AI adoption attitudes in the Southern African higher education sector. The study sought to evaluate the extent to which the COM-B framework, rooted in behavioural science, can generate AI-adoption insights that would be complementary to insights generated by established information systems (IS) adoption models, such as the technology acceptance model (TAM) and the unified theory of acceptance and use of technology (UTAUT). Potential facilitators and barriers with respect to adoption of AI tools adoption were mapped against COM-B domains to develop a 10-point Likert-type scale survey that was piloted with 33 individuals working in the Southern African higher education sector. The findings identified key facilitators of AI as adequate technological infrastructure, readiness to address clients’ ethical concerns, and beliefs that AI tools benefit clients. The dominant barrier identified was clients’ potential ethical concerns regarding AI use in decision-making.

The African Journal of Information and Communication (AJIC)(35)
University of Cape Town (ZA), University of Missouri–Kansas City (US), University of the Western Cape (ZA)
University of Missouri, University of the Western Cape
Openalex Percentile: Top 66%
Big Data and Business Intelligence
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