Vol. 1 No. 3 (2023)
Articles

IMMINENT OF PERFORMANCE MANAGEMENT IN ARTIFICIAL INTELLIGENCE AGE

Geoffrey B. E. Obinna Geoffrey B. E. Obinna, PhD
Faculty of Management Sciences, Department of Human Resource Management, Rivers State University, Nkpolu-Oroworukwo, Port Harcourt, Rivers State, Nigeria. obinna.geoffrey@ust.edu.ng
Bayo Princewill Lekara, Ph.D
Faculty of Management Sciences, Department of Human Resource Management, Rivers State University, Nkpolu-Oroworukwo, Port Harcourt, Rivers State, Nigeria.

Published 2023-10-24

Keywords

  • Assessment,
  • Artificial Intelligence,
  • Numerical Performance Management,
  • Worker,
  • Motivation,
  • Performance management,
  • Productivity
  • ...More
    Less

How to Cite

Geoffrey B. E. Obinna, PhD, G. B. E. O., & Bayo Princewill Lekara. (2023). IMMINENT OF PERFORMANCE MANAGEMENT IN ARTIFICIAL INTELLIGENCE AGE. Global Journal of Artificial Intelligence and Technology Development , 1(3), 37-45. https://www.openjournals.ijaar.org/index.php/gjaitd/article/view/1

How to Cite

Geoffrey B. E. Obinna, PhD, G. B. E. O., & Bayo Princewill Lekara. (2023). IMMINENT OF PERFORMANCE MANAGEMENT IN ARTIFICIAL INTELLIGENCE AGE. Global Journal of Artificial Intelligence and Technology Development , 1(3), 37-45. https://www.openjournals.ijaar.org/index.php/gjaitd/article/view/1

Abstract

In current age of globalization, aptitude initiative is seen as a crucial advantage for the long-term growth of cooperative, digitalized, high-performance organizations. Companies are making more and more attempts to address the challenge of how to brand performance management as an accomplishment within the companies. Performance management plans are typically included into yearly evaluations as a measure of employee progress. Big data analytics, artificial intelligence, and information technology have changed how management evaluates employee performance. Companies are aware of the need of artificial intelligence in performance management plans in order to meet capacity criteria. The inclusion of cutting-edge technologies, such as machine learning and artificial intelligence, which allow the adoption of prognostic analytics in highlighting worker performance, leads to a continuous improvement in the quality of workers' performance. This study has significant practical implications for firm performance management techniques, employee performance, and employee engagement settings in modern businesses, including higher productivity, involvement, building of leadership trust, helpful management, decrease in absenteeism, and employee churn. A numerical performance management strategy will shorten the management's time and labor requirements and increase worker performance evaluation transparency and objectivity. The study's conclusion is to determine the performance management system's practical usefulness. The study's technique is conceptual research. This study aims to highlight the impending use of performance management techniques in modern high performance firms and the artificial intelligence era, postulate a conceptual model, and provide a critical perspective on international business to understand and improve performance assessment.

Downloads

Download data is not yet available.