ANALYSING THE IMPACT OF MACHINE LEARNING AND INTERNET OF THINGS ON EMPLOYEE PERFORMANCE IMPROVEMENT

Abstract

Each business is now transforming into a technology-oriented firm in the fast changingbusiness climate in order to successfully manage the overall operation of the company and allow inincreasing the performance of their personnel. The competitive environment has compelled staff toimprove their performance and aid in achieving the objectives of the organisation, thus managers urgepersonnel to utilize new technologies that will allow effective management of human resources. TheIoT is regarded as the most important component of the organisation because it makes it possible toattract workers with potential, promote productivity increases, and carry out more activities in lesstime utilising automation and robotics processes that use ML and other modelling. The speedy flow ofdata and information required by today's business dynamics puts a greater reliance on technology. Themost crucial elements are to comprehend how these technologies help people reach their full potentialand help them perform better across diverse industries.The organization's senior management and human resource specialists are analysing various ways tointroduce these tools so that workers may perform better, which will ultimately help the companyachieve its goals and objectives. This study is more concerned with analysing how ML and IoT mightimprove worker performance in the manufacturing sectors. In order to understand from theparticipants the significance of these tools in improving their quality performance in their currentposition, the researchers plan to use both primary and secondary data. Primary data will consist ofclosed-ended questions, and secondary data will come from published journals, business articles,magazines, and other sources.