The Role of Artificial Intelligence (AI) in Enhancing Corporate Governance within Enterprises

The purpose of this paper is to examine the role of AI in enhancing corporate governance in Nigerian enterprises by combining the efficient market hypothesis (EMH) and diffusion of innovation (DOI) theory. The specific objective examined the effect of AI implementation on information asymmetry (IA) in publicly listed firms. A questionnaire-based survey was used to collect data from 81 respondents out of 83 initially distributed to individuals from the Lagos Chamber of Commerce and Industry (LCCI). The relevant hypothesis was tested using regression analysis. The findings revealed a significant effect of AI implementation on IA in publicly listed firms at 5%, respectively. The research was conducted from the perspective of business practitioners, which may limit the generalizability of the findings. The findings will make it easier for firms to navigate the AI adoption effect on IA in the Nigerian = context, which can inform policy and decision-making in organizations. This study contributes to the literature using the EMH and DOI frameworks to identify the implications of AI-based solutions on information asymmetry. Received: 9 May 2024 | Revised: 24 December 2024 | Accepted: 27 May 2025 Conflicts of Interest The authors declare that they have no conflicts of interest to this work. Data Availability Statement The data that support this work are available upon reasonable request to the corresponding author. Author Contribution Statement Ijeamaka Charity Mgbemena: Conceptualization, Validation, Investigation, Writing – original draft, Writing – review & editing, Project administration. Chike Kanayo Nwosu: Conceptualization, Validation, Writing – original draft, Project administration. Chinedu Francis Egbunike: Conceptualization, Methodology, Software, Formal analysis, Data curation, Writing – original draft, Writing – review & editing, Visualization, Supervision, Project administration. Daniel Izuchukwu Chude: Methodology, Writing – original draft, Project administration. Kenebechukwu Jane Okafor: Methodology, Investigation, Writing – original draft, Project administration.

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Publication Details

Journal
Journal of Comprehensive Business Administration Research
Published
2025-06-24
DOI
https://doi.org/10.47852/bonviewjcbar52023392
Citations
2
Primary Topic
Impact of AI and Big Data on Business and Society
Type
article
Field-Weighted Citation Impact
4.21
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article

The Role of Artificial Intelligence (AI) in Enhancing Corporate Governance within Enterprises

Ijeamaka Charity Mgbemena, Kenebechukwu Jane Okafor, Chinedu Francis Egbunike, Daniel Izuchukwu Chude et al.
2 citations
Journal of Comprehensive Business Administration Research
Impact of AI and Big Data on Business and Society
4.21
article

The Role of Artificial Intelligence (AI) in Enhancing Corporate Governance within Enterprises

Ijeamaka Charity Mgbemena, Kenebechukwu Jane Okafor, Chinedu Francis Egbunike, Daniel Izuchukwu Chude, Chike Kanayo Nwosu
article en
2 citations

Abstract

The purpose of this paper is to examine the role of AI in enhancing corporate governance in Nigerian enterprises by combining the efficient market hypothesis (EMH) and diffusion of innovation (DOI) theory. The specific objective examined the effect of AI implementation on information asymmetry (IA) in publicly listed firms. A questionnaire-based survey was used to collect data from 81 respondents out of 83 initially distributed to individuals from the Lagos Chamber of Commerce and Industry (LCCI). The relevant hypothesis was tested using regression analysis. The findings revealed a significant effect of AI implementation on IA in publicly listed firms at 5%, respectively. The research was conducted from the perspective of business practitioners, which may limit the generalizability of the findings. The findings will make it easier for firms to navigate the AI adoption effect on IA in the Nigerian = context, which can inform policy and decision-making in organizations. This study contributes to the literature using the EMH and DOI frameworks to identify the implications of AI-based solutions on information asymmetry. Received: 9 May 2024 | Revised: 24 December 2024 | Accepted: 27 May 2025 Conflicts of Interest The authors declare that they have no conflicts of interest to this work. Data Availability Statement The data that support this work are available upon reasonable request to the corresponding author. Author Contribution Statement Ijeamaka Charity Mgbemena: Conceptualization, Validation, Investigation, Writing – original draft, Writing – review & editing, Project administration. Chike Kanayo Nwosu: Conceptualization, Validation, Writing – original draft, Project administration. Chinedu Francis Egbunike: Conceptualization, Methodology, Software, Formal analysis, Data curation, Writing – original draft, Writing – review & editing, Visualization, Supervision, Project administration. Daniel Izuchukwu Chude: Methodology, Writing – original draft, Project administration. Kenebechukwu Jane Okafor: Methodology, Investigation, Writing – original draft, Project administration.

Journal of Comprehensive Business Administration Research
Chukwuemeka Odumegwu Ojukwu University (NG), Nnamdi Azikiwe University (NG)
Openalex Percentile: Top 6%
Impact of AI and Big Data on Business and Society
4.21
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