Artificial intelligence in human resource development: An umbrella review protocol

Author:

Yoo SangokORCID,Nimon Kim,Patole Sanket Ramchandra

Abstract

The recent surge in artificial intelligence (AI) has significantly transformed work dynamics, particularly in human resource development (HRD) and related domains. Scholars, recognizing the significant potential of AI in HRD functions and processes, have contributed to the growing body of literature reviews on AI in HRD and related domains. Despite the valuable insights provided by these individual reviews, the challenge of collectively interpreting them within the HRD domain remains unresolved. This protocol outlines the methodology for an umbrella review aiming to systematically synthesize existing reviews on AI in HRD. The review seeks to address key research questions regarding AI’s contributions to HRD functions and processes, as well as the opportunities and threats associated with its implementation by employing a technology-aided systematic approach. The coding framework will be used to synthesize the contents of the selected systematic reviews such as their search strategies, data synthesis approaches, and HRD-related findings. The results of this umbrella review are expected to provide insights for HRD scholars and practitioners, promoting continuous improvement in AI-driven HRD initiatives. This protocol is preregistered on the Open Science Framework (https://doi.org/10.17605/OSF.IO/Z8NM6) on May 27, 2024.

Publisher

Public Library of Science (PLoS)

Reference15 articles.

1. Artificial intelligence in education: A review;L. Chen;IEEE Access,2020

2. Artificial intelligence and management: The automation—augmentation paradox;S. Raisch;Academy of Management Review,2021

3. Haan, K. (2023, April 25). Top AI statistics and trends in 2023. Forbes Advisor. https://www.forbes.com/advisor/business/ai-statistics/.

4. Chui, M., Yee, L., Hall, B., & Singla, A. (2023, August 1). The state of AI in 2023: Generative AI’s breakout year. QuantumBlack, AI by McKinsey. https://www.mckinsey.com/capabilities/quantumblack/our-insights/the-state-of-ai-in-2023-generative-ais-breakout-year#/.

5. A systematic literature review on the impact of artificial intelligence on workplace outcomes: A multi-process perspective;V. Pereira;Human Resource Management Review,2023

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3