The Impact of Artificial Intelligence for Innovation in Human Resource Management with Data-Driven Decision Making

Shenqi Xie

doi:10.47297/taposatWSP2633-456903.20240503

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The Impact of Artificial Intelligence for Innovation in Human Resource Management with Data-Driven Decision Making

5卷第3期

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The Impact of Artificial Intelligence for Innovation in Human Resource Management with Data-Driven Decision Making
The Impact of Artificial Intelligence for Innovation in Human Resource Management with Data-Driven Decision Making
Shanghai University, SHU-UTS SILC Business School, Shanghai, 201899, China
2024年5卷第3期页码：16-21
纸质出版日期： 2024-08-30 ，
DOI：10.47297/taposatWSP2633-456903.20240503
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(2024). The Impact of Artificial Intelligence for Innovation in Human Resource Management with Data-Driven Decision Making. 科技理论与实践（英文版）, 5(3), 16-21.

Xie Shenqi.The Impact of Artificial Intelligence for Innovation in Human Resource Management with Data-Driven Decision Making[J].Theory and Practice of Science and Technology,2024,05(03):16-21.
(2024). The Impact of Artificial Intelligence for Innovation in Human Resource Management with Data-Driven Decision Making. 科技理论与实践（英文版）, 5(3), 16-21. DOI： 10.47297/taposatWSP2633-456903.20240503.

Xie Shenqi.The Impact of Artificial Intelligence for Innovation in Human Resource Management with Data-Driven Decision Making[J].Theory and Practice of Science and Technology,2024,05(03):16-21. DOI： 10.47297/taposatWSP2633-456903.20240503.

摘要

Abstract

Human Resource Management (HRM)

a crucial part of organisations

is always looking for innovative ways to better attract

develop and retain talent. In recent years

the rise of Artificial Intelligence has begun to significantly impact all aspects of HRM. With the rapid development of technology in recent years

AI has gradually become an important change agent in the field of human resource management. Traditional human resource management faces the challenges of information acquisition and decision-making efficiency

while data-driven decision-making theory emphasises the collection and analysis of big data to improve the scientific and reliable decision-making. Artificial Intelligence

on the other hand

achieves intelligent and personalised management of the recruitment process through technologies such as machine learning and natural language processing

thus improving the effectiveness of talent attraction

cultivation and retention. This paper explores the innovative application of data-driven decision-making theory and artificial intelligence in the field of recruitment. The aim of this paper is to delve into the management changes brought about by these technologies to address the complex challenges faced by modern organisations and to provide new perspectives and approaches for future HRM strategies.

关键词

Keywords

Data-driven decision makingHuman resource managementNatural language

references

Zhou Bin. Jiang Xiaobai: data-driven decision-making[J]. China Informatisation,2023(09):32-33.

Sui Haochen, Li Yuhui, Cui Naipeng et al. Transformation prospects and potential risks of generative AI technology fuelling human resource management - an application scenario perspective based on Chat GPT technology[J]. Vocational Technology,2024,23(01):99-108. DOI:10.19552/j.cnki.issn1672-0601.2024.01.015.

Ouyang Y. An analysis of the application of artificial intelligence technology in enterprise human resource management[J]. Sichuan Labour Security, 2023(11):42-43.

Using artificial intelligence in human resource management. Human Resource Management International Digest. Volume 32, Issue 1. 2024. pp 42-44. doi. 10.1108/hrmid-11-2023-0223.

Hui C, Qingli L. Innovative Applications of Big Data in Human Resource Management in the Era of Big Data[J]. Journal of Human Resource Development, 2024, 6(1): 9-16.

Zhao Y, He G, Wei D, et al. When digitalization meets HRM: developing a HRM value chain model in China[J]. Chinese Management Studies, 2024.

Tian X, Pavur R, Han H, et al. A machine learning-based human resources recruitment system for business process management: using LSA, BERT and SVM[J]. Business Process Management Journal, 2023, 29(1): 202-222.

Suen H Y, Hung K E. Comparing job applicant deception in asynchronous vs synchronous video interviews, with and without AI-assisted assessments[J]. Information Technology & People, 2023.

Intelligent human resources for the adoption of artificial intelligence: a systematic literature review.[J] Journal of Organizational Change Management. Volume 36 , Issue 7 . 2023. pp 1099-1124. doi. 10.1108/jocm-03-2022-0075.

Li Haixia. Trends of human resource management innovation in institutions under the era of "Internet+"[J]. Office automation,2023, 28(23):15-17.

Yu J, Ma Z, Zhu L. The configurational effects of artificial intelligence-based hiring decisions on applicants' justice perception and organisational commitment[J]. Information Technology & People, 2023.

The Effect of Electronic Human Resource Management Systems on Sustainable Competitive Advantages: The Roles of Sustainable Innovation and The Roles of Sustainable Innovation and Organizational Agility. Sustainability. Volume 15 , Issue 23 . 2023. doi: 10.3390/SU152316382

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