Digital Technologies and Collaborative Artificial Intelligence for Environment Ecosystem: Optimising Internet of Things adoption for Human Resource Management

Abstract

The introduction of new innovations is seen as a crucial lement in helping business firmsadapt to change in a competitive business condition. Artificial intelligence, the internet of things,
robotics, and transaction processing are just a few of the innovations that have accelerated development in the workplace. Improved communication technology enables businesses to maintain constant contact with their workers, distributors, buyers, and distributors, but it has also presented
numerous challenges for businesses looking to gain an advantage. The deployment of the Internet of Things and other technologies allows for more effective resource distribution, 24/7 connectivity, and improved service delivery. The IoT makes it possible to gather large amounts of data, store them, and handle them so that the participants may use them to make
better decisions. Additionally, businesses are utilising digital technologies to increase cooperation, manage work effectively, and create a better working environment to boost employee productivity. The advanced organisation considers improving the overall productivity of individual capital to be the primary responsibility of human resource division. As a result, through the use of IoT and other associated technology, HR executives and directors are searching for specific patterns on the overall
growth of skill set, competences, and other elements in order to effectively sustain having realized the mission of the company.
The primary goal of the study is to evaluate how collaborating AI technologies and digital innovations in general have impacted the development of a better organisational ecosystem. It also aims to comprehend how IoT adoption has improved the effectiveness of human capital inside the business.
The study is empirical in nature, and the writers will gather the information from the respondents to carry out a thorough analysis. A critical analysis is then done using “Descriptive Statistics, Correlation Analysis, and Regression Analysis”.