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ROLE OF ARTIFICIAL INTELLIGENCE IN ENHANCING PRODUCTIVITY AND HUMAN-MACHINE INTEGRATION-INDUSTRY 5.0-AN EMPIRICAL ANALYSIS

📘 Volume 11 📄 Issue 7 📅 july 2024

👤 Authors

Kundurthi Venkata Satya Sri Kumar, Dr. V. Tulasi Das 1
1. Dept. of MBA (HRM), School of Comm & Mgt. Studies, -, Acharya Nagarjuna University, Guntur-522510, A.P.

📄 Abstract

Human Resources are considered the assets of any organization to reach the organizational goals, vision, and targets to improve the organization's overall performance. At the same time, organizations must start adopting innovative practices to sustain themselves in the competitive market. In the era of Industry 5.0, organizations are shifting from traditional practices towards implementing various innovative and advanced processes like artificial intelligence, automation, robotics, and machine intelligence. Industry 5.0 is the next level of the Industrial Revolution, highlighting the critical part of human and machine intelligence interaction. It is the advancement of Industry 4.0 that has heavily impacted various industries like manufacturing including the steel industry, the Power sector, Coal and clean, information technology, etc. through the application of automation processes, data transformation, Internet over things (IoT), Machine learning, and Artificial intelligence. In the process of the above-stated transformation, the researchers wish to focus on studying the ?Role of Artificial Intelligence in enhancing productivity through an empirical analysis?.

🏷️ Keywords

Human-Machine Interaction Productivity Artificial Intelligence Data Analytics Transformation of the Workforce.

🔗 DOI

View DOI - (https://doi.org/10.36713/epra17635)

📚 How to Cite:

Kundurthi Venkata Satya Sri Kumar, Dr. V. Tulasi Das , ROLE OF ARTIFICIAL INTELLIGENCE IN ENHANCING PRODUCTIVITY AND HUMAN-MACHINE INTEGRATION-INDUSTRY 5.0-AN EMPIRICAL ANALYSIS , Volume 11 , Issue 7, july 2024, EPRA International Journal of Economics, Business and Management Studies (EBMS) , DOI: https://doi.org/10.36713/epra17635

🔗 PDF URL

https://cdn.eprapublishing.org/article/202407-07-017635.pdf

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