ARTIFICIAL INTELLIGENCE ADOPTION AND HIRING EFFICIENCY OF COMMERCIAL BANKS IN RIVERS STATE, NIGERIA
Abstract
This study investigated the impact of Artificial Intelligence Adoption (AI) and Hiring Efficiency of commercial banks in Rivers state in commercial banks, Nigeria. This study adopts a correlational survey research design to examine the relationships between the use of Artificial Intelligence Adoption (specifically resume screening AI and chatbots/virtual assistants) and Hiring Efficiency outcomes Quality-of-Hire Efficiency and Retention Rate Efficiency in commercial banks in Rivers State, Nigeria. The population consists of all Human Resource (HR) management personnel in commercial banks operating within Rivers State. Specifically, it includes one recruitment officer, HR manager and her assistant. According to industry reports, there are approximately 23 commercial banks with an estimated total of 69 human resource management personnel. Utilizing a quantitative correlational research design, data were collected from 60 respondents across selected banks and analyzed using Pearson correlation. Findings revealed a statistically significant and moderately strong positive relationship between Resume Screening AI and Retention Rate Efficiency (r = 0.607,
p < 0.01). Furthermore, Chatbots/Virtual Assistants AI showed a strong positive correlation with both Quality-of-Hire Efficiency (r = 0.812, p < 0.01) and Retention Rate Efficiency (r = 0.727, p <0.01). These results indicate that AI technologies are becoming critical tools in enhancing HR functions and operational efficiency in the banking sector. The study concludes that Artificial Intelligence Adoption applications, particularly Resume Screening tools and Chatbots/Virtual Assistants, have a significant and positive impact on HR efficiency in commercial banks in Rivers State. The study recommended among others that Commercial banks should invest in and
implement AI-driven resume screening systems to enhance the efficiency and objectivity of the recruitment process, thereby improving employee retention outcomes.
