International Journal of Innovative Research in Computer and Communication Engineering
ISSN Approved Journal | Impact factor: 8.771 | ESTD: 2013 | Follows UGC CARE Journal Norms and Guidelines
| Monthly, Peer-Reviewed, Refereed, Scholarly, Multidisciplinary and Open Access Journal | High Impact Factor 8.771 (Calculated by Google Scholar and Semantic Scholar | AI-Powered Research Tool | Indexing in all Major Database & Metadata, Citation Generator | Digital Object Identifier (DOI) |
| TITLE | An Artificial Intelligence–Based Methodology for Strategic Workforce Planning |
|---|---|
| ABSTRACT | Artificial Intelligence (AI) is revolutionizing various industries, Human Resources being one of them. Many organisations have started integrating AI solutions in their workforce strategies and are seeing impressive results. AI can be implemented at any and every stage of the workforce lifecycle, beginning from workforce planning to talent management, employee retention, employee satisfaction, general employee management and onboarding/offboarding. AI can be used to build frameworks, strategies and guide autonomous decision making based on inputs from various disparate sources – including internal workforce data, historical data, external market position, trends and evolving technology. This document focuses on the need for implementing AI solutions in the workforce planning module and its benefits. Workforce being the key strength of any organisation, it is essential to have the ‘right resources with the right skill-set at the right time’[1]. The document briefly describes the need for strategic and efficacious workforce planning which concurs with an organisation’s success. The document describes in detail the challenges faced by a traditional workforce planning model and why an AI solution would be successful. In addition to its advantages, the article also examines the associated challenges and considerations that arise with using AI. In conclusion, with mindful implementation of AI, HR professionals can highly benefit and be a key contributor in setting up an organisation for success. |
| AUTHOR | NISHIT DHILEN MEHTA Independent Researcher, Advanced Analytics Executive, NJ, United States |
| VOLUME | 161 |
| DOI | DOI: 10.15680/IJIRCCE.2024.1209047 |
| pdf/47_An Artificial Intelligence–Based Methodology for Strategic Workforce Planning.pdf | |
| KEYWORDS | |
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