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eISSN: 2581-9615 || CODEN (USA): WJARAI || Impact Factor: 8.2 || ISSN Approved Journal

Assessing the Impact of Artificial Intelligence on Organizational Performance: A Comparative Study of Public and Private Enterprises

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Abdullahi Umar Nasiru 1, *, Olalekan Olawale 2, Kingsley Senior Sarpong Abeyie 3, Isiaka Oshobugie Ibrahim 4, Ismail Abiodun Jamiu 5 and Mariam Abdullahi 6

1 Department of Economics, Faculty of Social and Management Science, Yobe State University, Damaturu, Yobe State, Nigeria.

2 Department of Public Administration, Faculty of Administration, Obafemi Awolowo University, Ile-Ife, Osun State, Nigeria.

3 Department of Accounting and Finance, KNUST School of Business, Kwame Nkrumah University of Science and Technology, Ghana.

4 Department of Engineering Management, Faculty of Science and Engineering Technology, University of Houston Clear Lake, USA.

5 Department of Science Education (Mathematics), Faculty of Education, Ekiti State University, Ado-Ekiti, Ekiti State, Nigeria.

6 Department of Human Resource Automation / process Improvement, Banking / Oil and Gas / Fintech.

Research Article

World Journal of Advanced Research and Reviews, 2025, 28(02), 990-1002

Article DOI: 10.30574/wjarr.2025.28.2.3802

DOI url: https://doi.org/10.30574/wjarr.2025.28.2.3802

Received on 01 October 2025; revised on 08 November 2025; accepted on 10 November 2025

This study investigates the impact of Artificial Intelligence (AI) on organizational performance, comparing public and private enterprises. The research aims to assess how AI adoption influences key performance indicators such as operational efficiency, decision-making, innovation, employee productivity, and customer satisfaction. Using a descriptive and comparative research design, data were collected from 120 respondents 60 from public enterprises and 60 from private enterprises through structured questionnaires. Descriptive and inferential statistical analyses, including correlation and regression, were employed to evaluate relationships between AI adoption and performance outcomes.

The findings reveal that private enterprises demonstrate a significantly higher AI adoption rate (65%) compared to public enterprises (30%). Mean performance scores indicate that private enterprises (4.4) outperform public enterprises (3.5) across all performance dimensions. Correlation analysis shows a strong positive relationship between AI adoption and organizational performance in both sectors (r = 0.81 for private enterprises; r = 0.62 for public enterprises). Regression results further confirm that AI adoption explains 65% of performance variations in private enterprises and 48% in public enterprises.

The study concludes that AI serves as a strategic catalyst for enhancing efficiency, innovation, and decision-making, with private enterprises reaping greater benefits due to their flexible structures and innovation-oriented management culture. It recommends increased investment in digital infrastructure, employee training, and supportive policy frameworks to strengthen AI readiness, particularly in public enterprises.

Artificial Intelligence; Organizational Performance; Public Enterprises; Private Enterprises; Innovation; Efficiency

https://journalwjarr.com/sites/default/files/fulltext_pdf/WJARR-2025-3802.pdf

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Abdullahi Umar Nasiru, Olalekan Olawale, Kingsley Senior Sarpong Abeyie, Isiaka Oshobugie Ibrahim, Ismail Abiodun Jamiu and Mariam Abdullahi. Assessing the Impact of Artificial Intelligence on Organizational Performance: A Comparative Study of Public and Private Enterprises. World Journal of Advanced Research and Reviews, 2025, 28(02), 990-1002. Article DOI: https://doi.org/10.30574/wjarr.2025.28.2.3802.

Copyright © 2025 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0

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