Artificial Intelligence and Human Resource Management in Nigerian Deposit Money Banks

Abstract

The current adoption of Artificial Intelligence (AI) is creating a paradigm shift in HRM with focus on recruitment and selection processes. In as much as there has been a global increase in the discourse of AI in HRM, there appears to be inadequate empirical studies particularly from emerging economies, most especially in the Nigerian banking sector. In this study, we investigate the impact of AI enabled recruitment and hiring technologies (Applicant Tracking Systems, Chatbots and Predictive Analytics) on recruitment and hiring performance of some deposit money banks in Nigeria. This study employed a descriptive survey design, with a sample size of 60 management employees in three banks in Ogun State. Regression and correlation techniques were utilized to test the hypotheses and the finding is that while ATS was positively related to recruitment and hiring, chatbots and predictive analytics were negatively related and statistically non-significant. In addition, there was no statistically significant positive prediction of AI application on the effectiveness of recruitment and hiring performance. This indicates a lack of meaningful use and integration of AI enabled HR systems in the selected Nigerian banks. This study adds to the new area of AI in HRM literature in developing economy and recommends proper integration of the technology, training of users and improvement in data input and analysis and also ethical frameworks for usage.