Study on AI-enabled HR Strategic Transformation from a Digitalization Perspective: Taking IBM as an Example

Lanxi Zhou

doi:10.47297/taposatWSP2633-456921.20250602

PDF
导出
分享
收藏
专辑

Study on AI-enabled HR Strategic Transformation from a Digitalization Perspective: Taking IBM as an Example

6卷第2期

浏览量: 0 Downloads: 0

Study on AI-enabled HR Strategic Transformation from a Digitalization Perspective: Taking IBM as an Example
Study on AI-enabled HR Strategic Transformation from a Digitalization Perspective: Taking IBM as an Example
Nanjing Sport Institude, Jiangsu Nanjing, 210014
2025年6卷第2期页码：106-111
纸质出版日期：2025-02-25
DOI：10.47297/taposatWSP2633-456921.20250602
Accepted：

Scan QR Code

(2025). Study on AI-enabled HR Strategic Transformation from a Digitalization Perspective: Taking IBM as an Example. 科技理论与实践（英文版）, 6(2), 106-111.

Zhou Lanxi.Study on AI-enabled HR Strategic Transformation from a Digitalization Perspective: Taking IBM as an Example[J].Theory and Practice of Science and Technology,2025,06(02):106-111.
(2025). Study on AI-enabled HR Strategic Transformation from a Digitalization Perspective: Taking IBM as an Example. 科技理论与实践（英文版）, 6(2), 106-111. DOI： 10.47297/taposatWSP2633-456921.20250602.

Zhou Lanxi.Study on AI-enabled HR Strategic Transformation from a Digitalization Perspective: Taking IBM as an Example[J].Theory and Practice of Science and Technology,2025,06(02):106-111. DOI： 10.47297/taposatWSP2633-456921.20250602.

摘要

Abstract

This paper examines IBM's strategic HR transformation driven by digitalization and AI technologies. It analyzes how IBM achieves efficient resource management and innovation while addressing challenges such as global competition

rapid technological evolution

and diverse customer demands. This paper adopts a combination of qualitative and quantitative research methods

and reveals the key success factors of IBM's strategic transformation in human resource management through case studies

comparative analysis and data analysis. At the same time

the study also focuses on the technological and moral and ethical challenges encountered during the transformation process

thus exploring the response strategies adopted by IBM. The findings reveal that IBM's transformation framework significantly optimizes HR structures

elevates employee competencies and satisfaction

and fosters innovation—demonstrating the tangible impact of AI integration in strategic HRM.Based on this

the study indicates that future research should further explore the deep application of AI technology in HRM and how to balance the relationship between technological advancement and employee well-being

so as to contribute to the theoretical and practical innovation in the field of HRM.

关键词

Keywords

references

Xiao Xingzheng, Ran Jingliang, Long Chengchun. (2018). Research on the impact of AI on human resource management. Journal of Sichuan Institute of Science and Technology (Social Science Edition), 33 (06), 3751.

Zhao Yixuan, Zhao Shuming, Luan Jiarui. (2020). Human Resource Management based on Artificial Intelligence: Theoretical Model and Research Outlook. Nanjing Social Science, (02),3643.https://doi.org/10.15937/j.cnki.issn1001-8263.2020.02.005

Chen Dingxiang, Liu Bangcheng. (2022). Human Resource Management in the Public Department in the Era of Artificial Intelligence: Practical Application and Theoretical Research. Public Administration and Policy Review, 11 (04), 3851.

Jin Hao. (2022). Challenges and opportunities of enterprise human resource management under the background of artificial intelligence. Shopping mall modernization, (07), 5658.https://doi.org/10.14013/j.cnki.scxdh.2022.07.028

Li Xia. (2022). Study on the influence of artificial intelligence on enterprise human resource management. Enterprise reform and Management, (03), 6769.https://doi.org/10.13768/j.cnki.cn11-3793/f.2022.0167

Suseno, Y., Chang, Y.-Y., & Fang, W. (2022). The role of HR managers' beliefs in driving AI-enabled HR transformation. Human Resource Management Review, 32(1), 100795. https://doi.org/10.1016/j.hrmr.2021.100795

Qiu, H., & Zhao, X. (2019). Opportunities and challenges of intelligent automation in human resource management. Journal of Organizational Behavior, 40(7), 787–805. https://doi.org/10.1002/job.2358

Wang, L., & He, W. (2021). Ethical issues and policy implications of AI applications in human resource management. Technological Forecasting and Social Change, 166, 120619. https://doi.org/10.1016/j.techfore.2021.120619

IBM Watson. (n.d.). IBM Watson for Talent: Recruitment. Retrieved from https://www.ibm.com/watson/talent

Daft, R. L., & Marcic, D. (2016). Understanding management (10th ed.). Cengage Learning.

Storey, J. (2017). Human resource management: A critical text (4th ed.). Routledge.

文章被引用时，请邮件提醒。

Submit

Advantages and Challenges in BEV Algorithm Technology for Autonomous Vehicles from Environment Sensing

Artificial Intelligence for Facial Emotion Recognition: A Review

Research on the Cultivation Mechanism of College Students' Internet Literacy from the Perspective of Artificial Intelligence

Exploration of Computer Course Teaching Reform in the Era of Artificial Intelligence

Research on the Personalized Teaching of Music Education Driven by Artificial Intelligence

Related Author

Yuexin Pan School of Sports Engineering, Beijing Sport University

Waikan Chong Intelligent Science and Engineering, Jinan University

Yutong Wang Hainan Vocational University of Science and Technology

Xiangyu Zhao School of Communication Technology, Communication University of China Nanjing

Junxian Hu

Shule Guo

Chuansheng Wu University of Science and Technology Liaoning

Haojie Zhang University of Science and Technology Liaoning

Related Institution

School of Sports Engineering, Beijing Sport University

Intelligent Science and Engineering, Jinan University

Hainan Vocational University of Science and Technology

School of Communication Technology, Communication University of China Nanjing

College of Music and Dance, Jining Normal University, Ulanqab

⁰