{"id":3867,"date":"2026-08-16T17:17:51","date_gmt":"2026-08-16T17:17:51","guid":{"rendered":"https:\/\/birpub.org\/ijois\/?post_type=journal_article&#038;p=3867"},"modified":"2026-08-16T17:17:52","modified_gmt":"2026-08-16T17:17:52","slug":"effect-of-artificial-intelligence-on-human-resource-management-practices-in-the-public-sector-of-anambra-state-ministry-of-health","status":"publish","type":"journal_article","link":"https:\/\/birpub.org\/ijois\/journal_article\/effect-of-artificial-intelligence-on-human-resource-management-practices-in-the-public-sector-of-anambra-state-ministry-of-health\/","title":{"rendered":"Effect of Artificial Intelligence on Human Resource Management Practices in the Public Sector of Anambra State Ministry of Health"},"content":{"rendered":"\n<p class=\"wp-block-paragraph\"><strong>Ezike, Chinemerem Echezona<sup>1<\/sup>, Prof. Fred O. Eze<sup>2<\/sup>, Mbah, Paulinus Chigozie, Ph.D.<sup>3<\/sup><\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Abstract<\/strong>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;<\/p>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><tbody><tr><td><em>The study examined the Effect of Artificial Intelligence on Human Resource Management Practices in the Public Sector of Anambra State Ministry of Health. The specific objectives are to: Examine the effect of Artificial Intelligence (AI)-based recruitment systems on employee selection efficiency and determine the influence of Artificial Intelligence-driven performance appraisal systems on staff performance evaluation in the Anambra State Ministry of Health. The study used the descriptive survey design approach. The primary source of data was the administration of questionnaire. The population of the study consisted of two hundred and sixty-seven (267) staff. Two hundred and fourteen (214) staff returned the questionnaire and accurately filled. The validity of the instrument was tested using content analysis and the result was good. The reliability was tested using the Pearson correlation coefficient (r). It gave a reliability co-efficient of 0.830 which was also good. Data was presented and analyzed by mean score and standard deviation. The hypotheses were analyzed using Z &#8211; test statistic tool. The findings indicated that Artificial Intelligence (AI)-based recruitment systems had a significant positive effect on employee selection efficiency, Z = 7.827, p &lt;. 05, andArtificial Intelligence-driven performance appraisal systems had a significant positive influence on staff performance evaluation in the Anambra State Ministry of Health = 7.485, p &lt;. 05.&nbsp; The study concluded thatArtificial Intelligence (AI)-based recruitment and driven performance appraisal systems had a significant positive effect on employee selection efficiency and staff performance evaluation in the Anambra State Ministry of Health. The study recommended among others thatthe Anambra State Ministry of Health should strengthen the adoption and continuous upgrading of AI-based recruitment systems and provide regular training for HR personnel to ensure efficient, transparent, and merit-based employee selection.<\/em><\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<p class=\"wp-block-paragraph\"><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong><em>Keywords:\u00a0 <\/em><\/strong><em>Artificial Intelligence, AI-Based Recruitment Systems, Employee Selection Efficiency, AI-Driven Performance Appraisal Systems, Staff Performance Evaluation.<\/em><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong><em>Cite<\/em><\/strong><em>: <\/em>Ezike, C. E., Fred O. E., &amp; Mbah, P. C. (2026). Effect of Artificial Intelligence on Human Resource Management Practices in the Public Sector of Anambra State Ministry of Health.<em> International Journal of Organizational Intelligence and Systems,4 <\/em>(3), 183-201.\u00a0 <a href=\"https:\/\/doi.org\/10.5281\/zenodo.21968442\">https:\/\/doi.org\/10.5281\/zenodo.21968442<\/a><\/p>\n\n\n\n<div data-wp-interactive=\"core\/file\" class=\"wp-block-file\"><object data-wp-bind--hidden=\"!state.hasPdfPreview\" hidden class=\"wp-block-file__embed\" data=\"https:\/\/birpub.org\/ijois\/wp-content\/uploads\/sites\/6\/2026\/08\/IJOIS_43183-201.pdf\" type=\"application\/pdf\" style=\"width:100%;height:600px\" aria-label=\"Embed of IJOIS_43,183-201.\"><\/object><a id=\"wp-block-file--media-d76f8dd8-f2ac-4861-b0d4-333445a726c6\" href=\"https:\/\/birpub.org\/ijois\/wp-content\/uploads\/sites\/6\/2026\/08\/IJOIS_43183-201.pdf\">IJOIS_43,183-201<\/a><a href=\"https:\/\/birpub.org\/ijois\/wp-content\/uploads\/sites\/6\/2026\/08\/IJOIS_43183-201.pdf\" class=\"wp-block-file__button wp-element-button\" download aria-describedby=\"wp-block-file--media-d76f8dd8-f2ac-4861-b0d4-333445a726c6\">Download<\/a><\/div>\n\n\n\n<p class=\"wp-block-paragraph\"><\/p>\n","protected":false},"author":1,"template":"","journal_article_cats":[237],"class_list":["post-3867","journal_article","type-journal_article","status-publish","hentry","journal_article_cat-vol-4-no-3"],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v26.1 (Yoast SEO v28.1) - https:\/\/yoast.com\/product\/yoast-seo-premium-wordpress\/ -->\n<title>Effect of Artificial Intelligence on Human Resource Management Practices in the Public Sector of Anambra State Ministry of Health - International Journal of Organizational Intelligence and Systems (IJOIS)<\/title>\n<meta name=\"description\" content=\"The study examined the Effect of Artificial Intelligence on Human Resource Management Practices in the Public Sector of Anambra State Ministry of Health. The specific objectives are to: Examine the effect of Artificial Intelligence (AI)-based recruitment systems on employee selection efficiency and determine the influence of Artificial Intelligence-driven performance appraisal systems on staff performance evaluation in the Anambra State Ministry of Health. The study used the descriptive survey design approach. The primary source of data was the administration of questionnaire. The population of the study consisted of two hundred and sixty-seven (267) staff. Two hundred and fourteen (214) staff returned the questionnaire and accurately filled. The validity of the instrument was tested using content analysis and the result was good. The reliability was tested using the Pearson correlation coefficient (r). It gave a reliability co-efficient of 0.830 which was also good. Data was presented and analyzed by mean score and standard deviation. The hypotheses were analyzed using Z - test statistic tool. The findings indicated that Artificial Intelligence (AI)-based recruitment systems had a significant positive effect on employee selection efficiency, Z = 7.827, p &lt;. 05, and Artificial Intelligence-driven performance appraisal systems had a significant positive influence on staff performance evaluation in the Anambra State Ministry of Health = 7.485, p &lt;. 05. The study concluded that Artificial Intelligence (AI)-based recruitment and driven performance appraisal systems had a significant positive effect on employee selection efficiency and staff performance evaluation in the Anambra State Ministry of Health. The study recommended among others that the Anambra State Ministry of Health should strengthen the adoption and continuous upgrading of AI-based recruitment systems and provide regular training for HR personnel to ensure efficient, transparent, and merit-based employee selection.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/birpub.org\/ijois\/journal_article\/effect-of-artificial-intelligence-on-human-resource-management-practices-in-the-public-sector-of-anambra-state-ministry-of-health\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Effect of Artificial Intelligence on Human Resource Management Practices in the Public Sector of Anambra State Ministry of Health\" \/>\n<meta property=\"og:description\" content=\"The study examined the Effect of Artificial Intelligence on Human Resource Management Practices in the Public Sector of Anambra State Ministry of Health. The specific objectives are to: Examine the effect of Artificial Intelligence (AI)-based recruitment systems on employee selection efficiency and determine the influence of Artificial Intelligence-driven performance appraisal systems on staff performance evaluation in the Anambra State Ministry of Health. The study used the descriptive survey design approach. The primary source of data was the administration of questionnaire. The population of the study consisted of two hundred and sixty-seven (267) staff. Two hundred and fourteen (214) staff returned the questionnaire and accurately filled. The validity of the instrument was tested using content analysis and the result was good. The reliability was tested using the Pearson correlation coefficient (r). It gave a reliability co-efficient of 0.830 which was also good. Data was presented and analyzed by mean score and standard deviation. The hypotheses were analyzed using Z - test statistic tool. The findings indicated that Artificial Intelligence (AI)-based recruitment systems had a significant positive effect on employee selection efficiency, Z = 7.827, p &lt;. 05, and Artificial Intelligence-driven performance appraisal systems had a significant positive influence on staff performance evaluation in the Anambra State Ministry of Health = 7.485, p &lt;. 05. The study concluded that Artificial Intelligence (AI)-based recruitment and driven performance appraisal systems had a significant positive effect on employee selection efficiency and staff performance evaluation in the Anambra State Ministry of Health. The study recommended among others that the Anambra State Ministry of Health should strengthen the adoption and continuous upgrading of AI-based recruitment systems and provide regular training for HR personnel to ensure efficient, transparent, and merit-based employee selection.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/birpub.org\/ijois\/journal_article\/effect-of-artificial-intelligence-on-human-resource-management-practices-in-the-public-sector-of-anambra-state-ministry-of-health\/\" \/>\n<meta property=\"og:site_name\" content=\"International Journal of Organizational Intelligence and Systems (IJOIS)\" \/>\n<meta property=\"article:modified_time\" content=\"2026-08-16T17:17:52+00:00\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data1\" content=\"2 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\\\/\\\/birpub.org\\\/ijois\\\/journal_article\\\/effect-of-artificial-intelligence-on-human-resource-management-practices-in-the-public-sector-of-anambra-state-ministry-of-health\\\/\",\"url\":\"https:\\\/\\\/birpub.org\\\/ijois\\\/journal_article\\\/effect-of-artificial-intelligence-on-human-resource-management-practices-in-the-public-sector-of-anambra-state-ministry-of-health\\\/\",\"name\":\"Effect of Artificial Intelligence on Human Resource Management Practices in the Public Sector of Anambra State Ministry of Health - International Journal of Organizational Intelligence and Systems (IJOIS)\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/birpub.org\\\/ijois\\\/#website\"},\"datePublished\":\"2026-08-16T17:17:51+00:00\",\"dateModified\":\"2026-08-16T17:17:52+00:00\",\"description\":\"The study examined the Effect of Artificial Intelligence on Human Resource Management Practices in the Public Sector of Anambra State Ministry of Health. The specific objectives are to: Examine the effect of Artificial Intelligence (AI)-based recruitment systems on employee selection efficiency and determine the influence of Artificial Intelligence-driven performance appraisal systems on staff performance evaluation in the Anambra State Ministry of Health. The study used the descriptive survey design approach. The primary source of data was the administration of questionnaire. The population of the study consisted of two hundred and sixty-seven (267) staff. Two hundred and fourteen (214) staff returned the questionnaire and accurately filled. The validity of the instrument was tested using content analysis and the result was good. The reliability was tested using the Pearson correlation coefficient (r). It gave a reliability co-efficient of 0.830 which was also good. Data was presented and analyzed by mean score and standard deviation. The hypotheses were analyzed using Z - test statistic tool. The findings indicated that Artificial Intelligence (AI)-based recruitment systems had a significant positive effect on employee selection efficiency, Z = 7.827, p &lt;. 05, and Artificial Intelligence-driven performance appraisal systems had a significant positive influence on staff performance evaluation in the Anambra State Ministry of Health = 7.485, p &lt;. 05. The study concluded that Artificial Intelligence (AI)-based recruitment and driven performance appraisal systems had a significant positive effect on employee selection efficiency and staff performance evaluation in the Anambra State Ministry of Health. 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The findings indicated that Artificial Intelligence (AI)-based recruitment systems had a significant positive effect on employee selection efficiency, Z = 7.827, p &lt;. 05, and Artificial Intelligence-driven performance appraisal systems had a significant positive influence on staff performance evaluation in the Anambra State Ministry of Health = 7.485, p &lt;. 05. The study concluded that Artificial Intelligence (AI)-based recruitment and driven performance appraisal systems had a significant positive effect on employee selection efficiency and staff performance evaluation in the Anambra State Ministry of Health. 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The specific objectives are to: Examine the effect of Artificial Intelligence (AI)-based recruitment systems on employee selection efficiency and determine the influence of Artificial Intelligence-driven performance appraisal systems on staff performance evaluation in the Anambra State Ministry of Health. The study used the descriptive survey design approach. The primary source of data was the administration of questionnaire. The population of the study consisted of two hundred and sixty-seven (267) staff. Two hundred and fourteen (214) staff returned the questionnaire and accurately filled. The validity of the instrument was tested using content analysis and the result was good. The reliability was tested using the Pearson correlation coefficient (r). It gave a reliability co-efficient of 0.830 which was also good. Data was presented and analyzed by mean score and standard deviation. The hypotheses were analyzed using Z - test statistic tool. 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