ABSTRACT
The Internet of Things (IoT) is one of the major technologies to support human resource practices for effective people analytics.It is a convenient method for information collation and supporting effective decision-making for human resource professionals. The convergence of machine learning and IoT paves the way for a prospective advancement in efficiency,accuracy. and productivity and overall cost-savings for resource-constrained IoT devices. Using a combination of machine learning algorithms and IoT, we can achieve improved performance for communication and computation, better controllability, and improved decision-making. Therefore, employees are the most important resource for an organization, hence companies must make the right people-oriented decisions.Therefore initiatives usingmachine learning and the IoT with people analytics could bridge the gap between the existing judgment-based approaches with a data-driven approach for human resource management. This chapter focuses on the effect of IoT and machine learning in managing people analytics in anorganization.
