| Abstract |
In the present world of modern technologies, Artificial Intelligence (AI) is one topic
which has been researched in numerous literatures, however, it is evident that almost negligible
attention has been bestowed on the study of use of AI in Human Resource Management (HRM). AI
is systematically synchronised in HRM in several domain, including hiring, management
effectiveness, and compensation. A list of recommendations for implementing AI in HRM has been
made. The purpose of this study is to determine the adoption variables for six different AI in HRM
scenarios. These scenarios incorporateartificial neural network (ANN) for turnover expectation,
Search engine based on knowledge for finding suitable candidate, geneticcalculations for
preparation of the staff roster, mining of content for HR analysis of opinion, procurement of data
from resume for extraction of data, and interactive voice reaction for representative selfservice.
Thus, elements that influence the adoption of AI in HRM include vendor partnerships,
government participation, complexity, managerial support, compatibility, and relative advantage.
By analysingadoptiondecidingfactors, this researchaimsto providenewinsights for professionals
and researcherswhiledecreasing the dangersrelatedto AI selection in certain HRM domains. |
