Big Data Analytics and Healthcare Sector Sustainability in Nigeria: The moderating Role of Organisational Size

The paper investigated how organisational size moderates the effect of big data analytics (BDA) on healthcare sustainability in Nigeria using a survey research design. The target population included 3,931 employees from approved healthcare facilities in Lagos State, Nigeria with a sample size of 676 employees determined using a formula developed by Cochran (1977). Hierarchical linear regression (HLR) was utilised to analyse the data. Findings revealed that BDA has a high and significant positive effect on the sustainability of small healthcare service firms, while its impact is weaker in large healthcare institutions. The negative coefficients of the interaction term may be attributed to the variations in organisational size among the healthcare facilities studied. Based on the results (ΔR<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup> = 0.000, β = −0.025, Sig. F Change = 7.777), the study concludes that organisational size significantly negatively moderates the relationship between big data analytics and healthcare service firm sustainability in Nigeria.

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Published
2024-11-26
DOI
https://doi.org/10.1109/nigercon62786.2024.10927112
Primary Topic
Big Data and Business Intelligence
Type
article
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article

Big Data Analytics and Healthcare Sector Sustainability in Nigeria: The moderating Role of Organisational Size

Yekini Olawaiye Lawal, Peter O. Alase, Ademola Ibidun, B. H. Akinlabi et al.
Big Data and Business Intelligence
article

Big Data Analytics and Healthcare Sector Sustainability in Nigeria: The moderating Role of Organisational Size

Yekini Olawaiye Lawal, Peter O. Alase, Ademola Ibidun, B. H. Akinlabi, Kamil A. Olajuwon
article en

Abstract

The paper investigated how organisational size moderates the effect of big data analytics (BDA) on healthcare sustainability in Nigeria using a survey research design. The target population included 3,931 employees from approved healthcare facilities in Lagos State, Nigeria with a sample size of 676 employees determined using a formula developed by Cochran (1977). Hierarchical linear regression (HLR) was utilised to analyse the data. Findings revealed that BDA has a high and significant positive effect on the sustainability of small healthcare service firms, while its impact is weaker in large healthcare institutions. The negative coefficients of the interaction term may be attributed to the variations in organisational size among the healthcare facilities studied. Based on the results (ΔR<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup> = 0.000, β = −0.025, Sig. F Change = 7.777), the study concludes that organisational size significantly negatively moderates the relationship between big data analytics and healthcare service firm sustainability in Nigeria.

Edinburgh Napier University (GB), Afe Babalola University (NG), Babcock University (NG), The Federal Polytechnic, Ado-Ekiti (NG)
Industry, innovation and infrastructure
Openalex Percentile: Top 55%
Big Data and Business Intelligence
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