The Machine Learning-Based Task Automation Framework for Human Resource Management in MNC Companies

Recently, machine learning-based task automation framework have been gaining attention in human resource management of Multi-National Companies (MNCs). Task automation framework helps MNCs to automate repetitive HR tasks, analyse data quickly and accurately, forecast workforce, and recognize employe...

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Main Authors: Suchitra Deviprasad, N. Madhumithaa, I. Walter Vikas, Archana Yadav, Geetha Manoharan
Format: Article
Language:English
Published: MDPI AG 2023-12-01
Series:Engineering Proceedings
Subjects:
Online Access:https://www.mdpi.com/2673-4591/59/1/63
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author Suchitra Deviprasad
N. Madhumithaa
I. Walter Vikas
Archana Yadav
Geetha Manoharan
author_facet Suchitra Deviprasad
N. Madhumithaa
I. Walter Vikas
Archana Yadav
Geetha Manoharan
author_sort Suchitra Deviprasad
collection DOAJ
description Recently, machine learning-based task automation framework have been gaining attention in human resource management of Multi-National Companies (MNCs). Task automation framework helps MNCs to automate repetitive HR tasks, analyse data quickly and accurately, forecast workforce, and recognize employees. MNCs are now beginning to use ML algorithms in combination with Artificial Intelligence (AI) to streamline the HR processes. Most MNCs have large-scale operations and decentralized organization structures which put additional pressure on HR teams to carry out intricate and tedious manual processes. To ease the process, ML-based task automation framework facilitates HR teams to leverage the power of AI and perform HR management tasks in a more effective and efficient manner. The ML-based task automation framework utilizes automation bots which can simulate all processes of HR management such as recruitment, time attendance, tracking employee records, scheduling calendar, and office administration tasks. The machine learning-based task automation framework utilizes predictive analytics to identify trends, patterns, behaviour, anomalies, and important insights from the large volumes of structured and unstructured data.
format Article
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issn 2673-4591
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series Engineering Proceedings
spelling doaj-art-35dfc5e09efb41b4b5f5334e8beee1112025-08-20T02:42:38ZengMDPI AGEngineering Proceedings2673-45912023-12-015916310.3390/engproc2023059063The Machine Learning-Based Task Automation Framework for Human Resource Management in MNC CompaniesSuchitra Deviprasad0N. Madhumithaa1I. Walter Vikas2Archana Yadav3Geetha Manoharan4Department of Commerce and Management, New Horizon College, Bengaluru 560037, IndiaFaculty of Management Studies, SRM Institute of Science and Technology, Kattankulathur 6003203, IndiaDepartment of Master of Business Administration, Hindusthan College of Arts and Science, Coimbatore 641028, IndiaInstitute of Business Management, GLA University, Mathura 281406, IndiaSchool of Business, SR University, Warangal 506371, IndiaRecently, machine learning-based task automation framework have been gaining attention in human resource management of Multi-National Companies (MNCs). Task automation framework helps MNCs to automate repetitive HR tasks, analyse data quickly and accurately, forecast workforce, and recognize employees. MNCs are now beginning to use ML algorithms in combination with Artificial Intelligence (AI) to streamline the HR processes. Most MNCs have large-scale operations and decentralized organization structures which put additional pressure on HR teams to carry out intricate and tedious manual processes. To ease the process, ML-based task automation framework facilitates HR teams to leverage the power of AI and perform HR management tasks in a more effective and efficient manner. The ML-based task automation framework utilizes automation bots which can simulate all processes of HR management such as recruitment, time attendance, tracking employee records, scheduling calendar, and office administration tasks. The machine learning-based task automation framework utilizes predictive analytics to identify trends, patterns, behaviour, anomalies, and important insights from the large volumes of structured and unstructured data.https://www.mdpi.com/2673-4591/59/1/63machine learningMNCartificial intelligenceHR processtask automation
spellingShingle Suchitra Deviprasad
N. Madhumithaa
I. Walter Vikas
Archana Yadav
Geetha Manoharan
The Machine Learning-Based Task Automation Framework for Human Resource Management in MNC Companies
Engineering Proceedings
machine learning
MNC
artificial intelligence
HR process
task automation
title The Machine Learning-Based Task Automation Framework for Human Resource Management in MNC Companies
title_full The Machine Learning-Based Task Automation Framework for Human Resource Management in MNC Companies
title_fullStr The Machine Learning-Based Task Automation Framework for Human Resource Management in MNC Companies
title_full_unstemmed The Machine Learning-Based Task Automation Framework for Human Resource Management in MNC Companies
title_short The Machine Learning-Based Task Automation Framework for Human Resource Management in MNC Companies
title_sort machine learning based task automation framework for human resource management in mnc companies
topic machine learning
MNC
artificial intelligence
HR process
task automation
url https://www.mdpi.com/2673-4591/59/1/63
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