Journal Indexing & Metrics

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FUTURE OF HR FUNCTIONS: TECHNOLOGY DRIVEN TRANSFORMATION OF HRM TO REMAIN EFFECTIVE AND RELEVANT

Dr. Neha Chaturvedi

First Published December 26,2019

Authors
  1. 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.
Keywords

Technology, Innovation, AI, Performance Appraisal, HRM

References
  1. Barton D, Carey D, and Charan, R.(2018). The New rule of Talent Management, March-April, Harvard Business Review
  2. The Deloitte State Cognitive Survey (2017). How humans and AI are working together in 1,500 companies. Deloitte
  3. Davenport, T. H., & Ronanki, R. (2018). Artificial intelligence for the real world. Harvard business review, 96(1), 108-116.
  4. Wilson, H. J., & Daugherty, P. R. (2018). Collaborative intelligence: humans and AI are joining forces. Harvard Business Review, 96(4), 114-123.
  5. Thoren, P. M. (2017). Agile People: A Radical Approach for HR & Managers (that Leads to Motivated Employees). Lioncrest Publishing.
  6. Marr, B. (2018). Data-driven HR: how to use analytics and metrics to drive performance. Kogan Page Publishers.
  7. Levit, A. (2018). Humanity Works: Merging technologies and people for the workforce of the future. Kogan Page Publishers.
  8. Eubanks, B. (2018). Artificial intelligence for HR: use AI to support and develop a successful workforce. Kogan Page Publishers.
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