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ZENODO
Article . 2026
License: CC BY
Data sources: ZENODO
ZENODO
Article . 2026
License: CC BY
Data sources: Datacite
ZENODO
Article . 2026
License: CC BY
Data sources: Datacite
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Technology-Enabled Human Resource Functions: Opportunities, Benefits, And Challenges In The Digital Transformation Era

Authors: Dr. Manisha V. Nain; Dr. Kanchan Kumari; Dr. Manju Pathania Biswas;

Technology-Enabled Human Resource Functions: Opportunities, Benefits, And Challenges In The Digital Transformation Era

Abstract

Rapid advancements in digital technology have significantly reshaped the role of Human Resource Management (HRM) within modern organizations. HR functions that were once primarily administrative have gradually evolved into strategic activities supported by technology and data analytics. The integration of technologies such as Artificial Intelligence (AI), Machine Learning (ML), Human Resource Information Systems (HRIS), cloud platforms, and workforce analytics enables organizations to enhance workforce management, improve operational efficiency, and support informed decision-making. These digital tools facilitate several HR activities including recruitment, employee training and development, performance evaluation, compensation management, and employee engagement. The present study investigates the opportunities, advantages, and challenges associated with the adoption of technology-driven HR practices. A mixed-method research approach was adopted, combining a systematic review of scholarly literature with an empirical survey. Secondary information was obtained from academic databases such as Scopus, Google Scholar, Emerald Insight, and Springer Link, focusing on studies published between 2018 and 2024. In addition, primary data were collected through a structured questionnaire administered to 150 HR professionals working across sectors including information technology, manufacturing, banking, and services. The findings reveal that technology-enabled HR systems contribute significantly to improving operational efficiency, enabling data-based decision-making, and enhancing the overall employee experience. Digital recruitment platforms, HR analytics tools, and learning management systems help organizations simplify HR processes and support strategic workforce planning. Nevertheless, organizations continue to encounter challenges such as concerns regarding data privacy, limited digital competencies among HR professionals, resistance to technological adoption, and the risk of algorithmic bias in AI-supported HR decisions. The study concludes that organizations must integrate technological innovation with ethical governance and human-centric management approaches in order to achieve sustainable digital HR transformation.

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    popularity
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green