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Keeping Governance Alive: A Longitudinal Assessment of Data Governance Adoption and Executive Risk Reporting in Fintech Firms in Lagos
Subject area: Science,Engineering and Technology · Area of research: Data Governance Adoption and Executive Risk
DOI: 10.64388/ire1724137
Abstract
Lagos fintech companies have responded to the pressure from the regulators with data governance but the adoption has been considered as a one-off event. Policies are drafted, a data protection officer is appointed, and an audit is registered but the processes that are involved in creating these artifacts tend to become weak when the products increase, staff rotate, and attention turns to other matters. This decay will reduce the quality of the data that the executives and boards will see in executive risk reporting. The literature on data governance (Abraham et al., 2019; Khatri & Brown, 2010) describes the design of governance and how it is being adopted. It does not detail how governance lasts and no model is found between sustainment and executive risk reporting of Lagos fintechs. This conceptual review aims to fill this gap. Based on the institutional theory, organisational learning, dynamic capabilities and the three lines model, it will build the Governance Sustainment and Risk Reporting Framework (GSRRF). The four stepping stones of the framework are adoption, embedding, drift detection and renewal. There are governance activities in each stage, an executive reporting output for each stage and a review trigger for each stage. A feedback loop is illustrated to demonstrate how governance drift can be identified through risk reports, and how it can trigger renewal. The paper proposes a time-based model of governance sustainment, five propositions that can be tested in future multi-wave studies, and useful recommendations for firms, boards and regulators like Nigerian Data Protection Commission (NDPC) and Central Bank of Nigeria (CBN).
Keywords
Data Governance; Fintech; governance sustainment; executive risk reporting; institutional theory; dynamic capabilities; regulatory compliance
References
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How to cite this paper
@article{1724137,
author = {Onyinye Lydia Abuo},
title = {Keeping Governance Alive: A Longitudinal Assessment of Data Governance Adoption and Executive Risk Reporting in Fintech Firms in Lagos},
journal = {Iconic Research And Engineering Journals},
year = {2026},
volume = {10},
number = {4},
pages = {5133-5140},
issn = {2456-8880},
url = {https://www.irejournals.com/formatedpaper/1724137.pdf},
abstract = {Lagos fintech companies have responded to the pressure from the regulators with data governance but the adoption has been considered as a one-off event. Policies are drafted, a data protection officer is appointed, and an audit is registered but the processes that are involved in creating these artifacts tend to become weak when the products increase, staff rotate, and attention turns to other matters. This decay will reduce the quality of the data that the executives and boards will see in executive risk reporting. The literature on data governance (Abraham et al., 2019; Khatri & Brown, 2010) describes the design of governance and how it is being adopted. It does not detail how governance lasts and no model is found between sustainment and executive risk reporting of Lagos fintechs. This conceptual review aims to fill this gap. Based on the institutional theory, organisational learning, dynamic capabilities and the three lines model, it will build the Governance Sustainment and Risk Reporting Framework (GSRRF). The four stepping stones of the framework are adoption, embedding, drift detection and renewal. There are governance activities in each stage, an executive reporting output for each stage and a review trigger for each stage. A feedback loop is illustrated to demonstrate how governance drift can be identified through risk reports, and how it can trigger renewal. The paper proposes a time-based model of governance sustainment, five propositions that can be tested in future multi-wave studies, and useful recommendations for firms, boards and regulators like Nigerian Data Protection Commission (NDPC) and Central Bank of Nigeria (CBN).},
keywords = {Data Governance; Fintech; governance sustainment; executive risk reporting; institutional theory; dynamic capabilities; regulatory compliance},
month = {October},
doi = {https://doi.org/10.64388/ire1724137}
}