Resumo

RAMBAU, Thifhindulwi Maxwell; MUNYOKA, Willard  e  MASHAU, Nkhangweni Lawrence. Identifying factors affecting the adoption of big data analytics in South African rural-based hospitals to improve service delivery. SACJ [online]. 2025, vol.37, n.1, pp.1-13. ISSN 2313-7835.  https://doi.org/10.18489/sacj.v37i1.17830.

The healthcare sector is progressively recognising the potential of big data analytics to revolutionise patient care, operational efficiency and decision-making processes. However, rural-based hospitals face challenges in embracing big data analytical tools to improve their service delivery to their patients. The adoption of big data analytics will assist rural-based hospitals in predicting and making informed decisions to manage the limited resources that they have and allocate them appropriately. However, there is a lack of literature that explores and identifies the factors that affect the adoption of big data analytics in rural-based hospitals to improve service delivery. This research employs a quantitative research methodology using surveys to identify the factors that affect the adoption of big data analytics in rural-based hospitals. This study found that rural-based hospitals prefer a hybrid method to collect data and it impedes the adoption of big data analytics in rural-based hospitals. Therefore, there is a need to implement modern infrastructure to integrate various data collection methods to promote the adoption of big data analytics in rural-based hospitals. Categories ● Information systems ~ big data, data analytics

Palavras-chave : big data analytics; rural-based hospitals; healthcare; decision-making; service delivery.

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