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Cited by 218AI and HR TechnologiesImpact of AI and Big Data on Business and SocietyEmployer Branding and e-HRM

A study of Artificial Intelligence impacts on Human Resource Digitalization in Industry 4.0

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Murugesan, Umasankar, Subramanian, Padmavathy, Srivastava, Shefali, Dwivedi, Ashish·2023·Decision Analytics Journal
DOI 10.1016/j.dajour.2023.100249
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Abstract

Artificial Intelligence (AI) has opened up tremendous opportunities in the workplace through robotics innovation, which envelops both AI and the Internet of Things (IoT). Precision, Efficiency, and Flexibility are considered the potential benefits of Industry 4.0. The implementation of Industry 4.0 requires a lot of changes, including the Human Resource (HR) function. In Industry 4.0, the HR capability is more critical and gives an upper hand to the organization. The HR capability should be more cautious and adaptable to adjust to the difficulties and requirements. We study the contributions of AI in HR digitalization and practices in Industry 4.0. 271 HR experts working in Information Technology (IT), Manufacturing, and administration are selected to participate in this review focusing on five AI applications in HR capability and three elements of HR readiness. The information collected was examined utilizing the Statistical Package for Social Sciences (SPSS) tool and Analysis of Moment Structures (AMOS). The results uncovered that hierarchical organization examination is a fundamental part of acquiring sustainable development. Adaptability and human asset capability are upheld by each of the five components of AI application areas of HR. Well-being and Safety improvement were viewed as vital components under the AI application in HR.

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  • Digital technology enables more effective collection and analysis of employee data, providing deeper insights for better decision making.

    “Digital technology enables more effective collection and analysis of employee data, providing deeper insights for better decision making.”

    From Digital Transformation in Human Resource Management: A Systematic Literature Review (2023) · cites this paper as Murugesan et al., 2023

  • Manufacturing companies using data analytics in HR management can increase employee productivity through more data-driven decisions.

    “Research by Murugesan, et al. (2023) shows that manufacturing companies using data analytics in HR management can increase employee productivity through more data-driven decisions.”

    From Digital Transformation in Human Resource Management: A Systematic Literature Review (2023) · cites this paper as Murugesan et al., 2023

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Authors
Murugesan, U., Subramanian, P., Srivastava, S., & Dwivedi, A.
Affiliations
  • Christ University (IN)
  • O. P. Jindal Global University (IN)
Corresponding author
Dwivedi, Ashish
ORCID
Venue
Decision Analytics Journal
Publisher
Elsevier BV
Published
2023-06
Volume
7
Pages
100249
ISSN
2772-6622 (ISSN-L)
DOI
10.1016/j.dajour.2023.100249
OpenAlex
W4382173516
Cited by
217
References
54
Citations by year
2026: 57 · 2025: 79 · 2024: 50 · 2023: 31
FWCI
63.10
Type
journal article
Language
en
Open access
Licence
Locations
Decision Analytics Journal (publishedVersion, cc-by-nc-nd)
Topics
  • Social Sciences › Business, Management and Accounting › Organizational Behavior and Human Resource Management › AI and HR Technologies
  • Social Sciences › Decision Sciences › Management Science and Operations Research › Impact of AI and Big Data on Business and Society
  • Social Sciences › Business, Management and Accounting › Organizational Behavior and Human Resource Management › Employer Branding and e-HRM
Keywords
artificial intelligence in human resource management, HR digitalization, Industry 4.0, organizational adaptability, human resource capabilities, employee well-being, occupational safety, Internet of Things

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