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Improving Efficiency and Effectiveness of Robotic Process Automation in Human Resource Management

automation; cost analysis; human resource; information technology; innovation; resource management; robotics; software

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Bibliographic Details
Main Authors: Mohamed S.A., Mahmoud M.A., Mahdi M.N., Mostafa S.A.
Other Authors: 57561985300
Format: Article
Published: MDPI 2023
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id my.uniten.dspace-26925
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spelling my.uniten.dspace-269252023-05-29T17:37:50Z Improving Efficiency and Effectiveness of Robotic Process Automation in Human Resource Management Mohamed S.A. Mahmoud M.A. Mahdi M.N. Mostafa S.A. 57561985300 55247787300 56727803900 37036085800 automation; cost analysis; human resource; information technology; innovation; resource management; robotics; software Automation technology is changing and transforming innovation into the industrial land-scape and Human Resources (HR) should ensure to adapt and practice its deployment to realise its benefits in time and for cost savings. The implementation of Robotic Process Automation (RPA) in HR can help to offer better service to ensure compliance of the processes with standards and regulations. RPA is a software technology that manages software robots to emulate human actions when interacting with digital platforms. RPA is a solution that could perform repetitions to take over activities carried out by humans. However, a robot is not thought to be able to replace the HR but is, instead, useful to support driven processes. The purpose of the study is to prove the efficiency and effectiveness of RPA in the Human Resource Management System (HRMS) compared to the manual process performed by a human. Different types of components and characteristics were identified to adopt RPA in HRMS based on the data measurement in the implementation process. This study designs and develops an HRMS model using RPA tools to achieve the target process. The model was developed based on a case study of an existing model of RPA in HRMS from an IT consultancy industry. In the HR process, the project uses an application focusing on the parameters of gathering, storing and accessing employees� information from other modules. Lastly, the gaps in the HRMS to improve productivity are evaluated and explained. : � 2022 by the authors. Licensee MDPI, Basel, Switzerland. Final 2023-05-29T09:37:50Z 2023-05-29T09:37:50Z 2022 Article 10.3390/su14073920 2-s2.0-85127568954 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85127568954&doi=10.3390%2fsu14073920&partnerID=40&md5=2d4105805281cc90ad53e17762751882 https://irepository.uniten.edu.my/handle/123456789/26925 14 7 3920 All Open Access, Gold MDPI Scopus
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
description automation; cost analysis; human resource; information technology; innovation; resource management; robotics; software
author2 57561985300
author_facet 57561985300
Mohamed S.A.
Mahmoud M.A.
Mahdi M.N.
Mostafa S.A.
format Article
author Mohamed S.A.
Mahmoud M.A.
Mahdi M.N.
Mostafa S.A.
spellingShingle Mohamed S.A.
Mahmoud M.A.
Mahdi M.N.
Mostafa S.A.
Improving Efficiency and Effectiveness of Robotic Process Automation in Human Resource Management
author_sort Mohamed S.A.
title Improving Efficiency and Effectiveness of Robotic Process Automation in Human Resource Management
title_short Improving Efficiency and Effectiveness of Robotic Process Automation in Human Resource Management
title_full Improving Efficiency and Effectiveness of Robotic Process Automation in Human Resource Management
title_fullStr Improving Efficiency and Effectiveness of Robotic Process Automation in Human Resource Management
title_full_unstemmed Improving Efficiency and Effectiveness of Robotic Process Automation in Human Resource Management
title_sort improving efficiency and effectiveness of robotic process automation in human resource management
publisher MDPI
publishDate 2023
_version_ 1806427811420831744
score 13.211869

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