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All Journal Jurnal Ekonomi KIAT International Journal of Business Sustainability
Adeyemi, Oluwatoyin Damilola
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Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Law, Crime, Criminology & Criminal Justice

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Data governance maturity and employee perception of business intelligence in selected fintech firms in Nigeria: The mediating role of data quality Adeyemi, Omolade Sunday; Olarewaju, Samuel Oluwakayode; Adeyemi, Oluwatoyin Damilola
Jurnal Ekonomi KIAT Vol. 37 No. 1 (2026): June
Publisher : UIR Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25299/kiat.2026.28163

Abstract

Purpose: This study examined whether data governance maturity (DGM) predicts employee perception of business intelligence performance (EPBI) in selected fintech firms in Nigeria, the mediating role of data quality (DQ). Design/methodology/approach: A survey of 342 employees from Nigerian fintech firms across data/analytics, IT, compliance, and management was conducted. SEM in AMOS tested hypothesised paths using maximum likelihood and 5,000 bootstrap samples. Findings: DGM positively predicted DQ and DQ positively predicted EPBI. The indirect effect of DGM on EPBI through DQ was statistically significant and consistent with full mediation. DGM explained forty-eight percent of the variance in DQ, whilst DQ accounted for thirty-eight percent of the variance in EPBI. Limitations and Research implications: The cross-sectional research design constrains causal inference, and restricting the sample to Nigerian fintech organisations limits broad generalisability. Future work should deploy longitudinal designs and multi-country samples across other African fintech markets. Practical Implications: Fintech organisations aiming to improve how employees perceive and utilise BI systems must treat data governance as a strategic capability rather than a regulatory formality. Governing data well is the antecedent through which data quality, and eventually employee BI performance perception, is achieved. Originality/value: This study is among the first to empirically model the DGM-DQ-EPBI pathway in the Nigerian fintech sector, extending information quality theory and the resource-based view to a high-growth, data-intensive, African financial services context.
Data modelling for business intelligence solutions: Investigation into Edtech and Fintech businesses in Nigeria Adeyemi, Omolade Sunday; Adeyemi, Oluwatoyin Damilola; Adensunloro, Babalola Raphael; Jayeoba, Oluwatoyin Alice
International Journal of Business Sustainability Vol. 1 No. 3 (2026): Mar
Publisher : UIR PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25299/ijbs.2026.24557

Abstract

The study examined how distinct stages of data modelling, business Modelling logical modelling dimensional modelling and physical modelling influence business performance in the Edtech and Fintech businesses in Nigeria. The study adopted quantitative approach and survey data were obtained from 495 Nigerian Edtech and Fintech practitioner. Structural Equation Modelling was used by the way of SMART PLS4. Findings reveal that integrated business model considerably enhance decision making speed, which mediates the relationship between data modelling and business performance.
Co-Authors Adensunloro, Babalola Raphael Adeyemi, Omolade Sunday Jayeoba, Oluwatoyin Alice Olarewaju, Samuel Oluwakayode