Human Resource Management: AI-driven Solutions in Entrepreneurship
- DOI
- 10.2991/978-94-6463-787-8_9How to use a DOI?
- Keywords
- Artificial Intelligence; Human Resource Management; Entrepreneurship; Innovative Practices; Human Resource (HR) Practices
- Abstract
In modern era of advanced communication, Artificial Intelligence (AI) plays a crucial role in enhancing the outcome in various domains including Human Resource Practices that provides smart, intelligent and innovative features in various fields. The application and integration of AI driven strategies not only gives optimal solutions but simultaneously it also reduces the operation complexities. This paper examines the use of AI in HRM within entrepreneurial ventures, highlighting its applications, advantages, and challenges. It explores how AI can enhance HR operations, support better decision-making, and elevate employee experiences. Most of the facts and data have been collected from the published papers and journals. At the end, some conclusions are presented. The main contribution of this article is to present an overview on how AI can streamline the HR related practices with minimal involved cost, minimize the operational time consumption, and thereby enhancing the productivity as far as day to-day tasks are concerned.
- Copyright
- © 2025 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Ruchi Singh AU - Anusha Priya PY - 2025 DA - 2025/07/17 TI - Human Resource Management: AI-driven Solutions in Entrepreneurship BT - Proceedings of the Recent Advances in Artificial Intelligence for Sustainable Development (RAISD 2025) PB - Atlantis Press SP - 88 EP - 95 SN - 1951-6851 UR - https://doi.org/10.2991/978-94-6463-787-8_9 DO - 10.2991/978-94-6463-787-8_9 ID - Singh2025 ER -