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

Syaiful Anwar Mohamed, Moamin A. Mahmoud, Mohammed Najah Mahdi and Salama A. Mostafa
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Syaiful Anwar Mohamed: College of Graduate Studies, Universiti Tenaga Nasional, Kajang 43000, Selangor, Malaysia
Moamin A. Mahmoud: Institute of Informatics and Computing in Energy, Universiti Tenaga Nasional, Kajang 43000, Selangor, Malaysia
Mohammed Najah Mahdi: Institute of Informatics and Computing in Energy, Universiti Tenaga Nasional, Kajang 43000, Selangor, Malaysia
Salama A. Mostafa: Faculty of Computer Science and Information Technology, Universiti Tun Hussin Onn, Batu Pahat 86400, Johor, Malaysia

Sustainability, 2022, vol. 14, issue 7, 1-18

Abstract: Automation technology is changing and transforming innovation into the industrial landscape 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.

Keywords: robotic process automation; human resource management system; information technology (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (6)

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