Abstract
This doctoral research study investigates the impact of digital technologies on Production Operator
Performance within South Africa’s Food and Beverage Industry. The study explores how digital
technologies, including collaborative tools, cyber security, big data analytics, and automation,
influence production operator performance. The research is framed within the context of the
Fourth Industrial Revolution (4IR) and the implications for the manufacturing sector.
The research design for the study took the form of a mixed-methodology approach, using
interviews and questionnaires as the research instruments. Cluster sampling was used to identify
and administer the research questionnaire, whilst the standard open-ended interview methodology
was employed for the interviews of industry leaders in the field. The validity and reliability of the
research instrument were validated using Cronbach’s Alpha Coefficient and Composite
Reliability. The questionnaire results were analysed using PLS-SEM analysis and the interview
results were coded to highlight themes that emerged.
Key findings reveal that while digital technologies can enhance production efficiency and
operational performance, challenges such as skills gaps and change management need to be
addressed. The study proposes a human-centric approach to technology adoption, advocating for
the integration of socio-technical systems that support operator well-being and performance. The
results of the literature review and the research findings support the Operator 4.0 Manufacturing
Model.
The research concludes with recommendations for developing a sustainable digital technology
adoption strategy that aligns with the unique socio-economic context of South Africa. It
underscores the importance of continuous skills development and the need for a collaborative
effort between industry stakeholders to ensure the successful implementation of 4IR technologies.