EFFECT OF ARTIFICIAL INTELLIGENCE ON GREEN HUMAN RESOURCE MANAGEMENT OF PHARMACEUTICAL FIRMS IN ENUGU STATE

This study evaluated the Effect of artificial intelligence on green human resource management of pharmaceutical firms in Enugu state. The broad objective of this study is to determine the effect of artificial intelligence on green human resource management of pharmaceutical firms in Enugu state, specifically, the study sort to determine the effect of machine learning on green talent management of pharmaceutical firms and ascertain the effect of expert systems on green workplace safety of pharmaceutical firms. A total population of one thousand five hundred and forty-two (1542), staff was used. The sample size of 308, using Freund and William's statistic formula at 5 percent margin of error. Regression statistical tools was used to test the hypotheses with the aid of SPSS Version 26. The results of the study revealed that Machine learning has significant positive effect on green talent management of pharmaceutical firms in Enugu state and that Expert systems have significant positive effect on green workplace safety of pharmaceutical firms in Enugu state. The study concluded that the integration of machine learning into green talent management has emerged as a pivotal factor in shaping the industry's approach to nurturing environmentally conscious talent, application of expert systems in this context has evidently contributed to the establishment of robust safety protocols and risk management procedures that align with environmentally sustainable principles. The study among other things recommended that pharmaceutical firms should implement expert systems that can assess workplace safety risks in real-time based on a combination of environmental factors, equipment usage, and employee behavior.