FUTURE OF HR FUNCTIONS: TECHNOLOGY DRIVEN TRANSFORMATION OF
HRM TO REMAIN EFFECTIVE AND RELEVANT
Dr. Neha Chaturvedi
First Published December 26,2019
Authors
Dr. Neha Chaturvedi
Affiliation
Assistant Professor, Gyandeep P.G. Mahavidyalya, Jaipur
Abstract
Technology shall usher a new character of HRM, if utilized adequately. Technology shall not alter the
relevance of HRM but it shall impose an obligation on HRM to undergo transformation in order to
remain relevant and effective. Major manifestations of such transformation shall be visible in data
driven decision making, departure from traditional performance appraisal methods, role of AI in many
areas of HR confluence and employee experience to name a few.
The paper establishes the emerging transformational trends in HRM as it amalgamates new
technologies available to businesses. It explores the main research question: “How organizations
are transforming and reinventing HRM in order to remain relevant.” The objective of this paper is to
etch transformation in HRM as it absorbs innovation and exploring the departures from traditional
A literature review has been done using an archival method to provide a legitimate organization to the
research and build a consistent knowledge base in this field that can prove to be a corner stone for
future research. For primary data collection, the search for relevant studies and articles was made in
Google scholar and Semantic scholar by using a combination of terms: AI, HR technologies,
innovation, technology and such similar subject related key words.
.The secondary data was independently obtained using standardized data extraction forms from a
wide set of assorted and reliable sources. All data are comparable units and have been generated by
official authorities that represent the functions that have been included within the scope of the
research.
Dr. Neha Chaturvedi.
(2019) ‘FUTURE OF HR FUNCTIONS: TECHNOLOGY DRIVEN TRANSFORMATION OF
HRM TO REMAIN EFFECTIVE AND RELEVANT’, Assistant Professor, Gyandeep P.G. Mahavidyalya, Jaipur,
Research Artical, pp. 57–66. doi: