Abstract

MAMOGOBO, Masehlabane J.; PRETORIUS, Agnieta B.  and  MAMOROBELA, Stevens P.. A model for using knowledge management systems to improve decision-making within the South African energy sector. SAJIM (Online) [online]. 2026, vol.28, n.1, pp.1-12. ISSN 1560-683X.  https://doi.org/10.4102/sajim.v28i1.2073.

BACKGROUND: Organisations in the energy sector play a vital role in ensuring the stability of the national energy supply. Effective knowledge-driven decision-making is of paramount importance to deliver stable energy in the sector. However, many organisations in the energy sector continue to experience low uptake and limited integration of Knowledge Management Systems (KMSs) into operational processes, despite their recognised benefits in supporting evidence-based decision-making and preserving organisational knowledge. OBJECTIVES: This research aimed to develop a model for the use of KMSs to improve decision-making within the South African energy sector. METHOD: This study employed a quantitative research approach, utilising closed-ended questionnaires, to collect data from 150 respondents within an organisation in the South African energy sector, aiming to determine the technological, organisational and environmental factors that influence the use of KMSs. The collected data were then analysed using IBM Statistical Package for Social Sciences (SPSS). RESULTS: The results indicate that self-efficacy, usefulness, motivational culture, performance expectancy and policies and standards are the strongest predictors of behavioural intention to use the KMSs within the South African energy sector. The correlation results further confirmed significant positive associations between perceived usefulness, organisational support and the intention to adopt the system. CONCLUSION: The developed model highlights the importance of addressing individual confidence, organisational culture and clear governance models to promote effective KMS usage. The model serves as a guide for the implementation and integration of KMSs to improve knowledge-enabled decision-making in the operational processes of organisations in the South African energy sector. CONTRIBUTION: This study contributes an empirically validated model for supporting KMS usage in the energy sector. The model can inform policy development, training programmes and system design to strengthen knowledge management practices in similar organisational contexts.

Keywords : Knowledge Management Systems; decision-making; UTAUT; TOE; energy sector.

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