Benefits and Challenges of Robotic Process Automation
Laura Lahtinen, Tommi Mahlamäki, Jussi Myllärniemi
2023
Abstract
Digitalization has been shaping the ways how we work and live for a considerable length of time. Businesses’ competitiveness is partially determined by their capability to adopt and leverage new technologies. One of the latest trends in digitalization is the automation of repetitive, low-cognitive human tasks in white-collar jobs. A tool that was created to automate low-cognitive human tasks, Robotic Process Automation utilizes software robots to address this topic. RPA gains attraction because it is easily scalable, and implemented at a rather low cost and the use of it doesn’t require prior programming skills. This research relies on existing literature and identifies the benefits and challenges of Robotic Process Automation.
DownloadPaper Citation
in Harvard Style
Lahtinen L., Mahlamäki T. and Myllärniemi J. (2023). Benefits and Challenges of Robotic Process Automation. In Proceedings of the 15th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 3: KMIS; ISBN 978-989-758-671-2, SciTePress, pages 249-255. DOI: 10.5220/0012208700003598
in Bibtex Style
@conference{kmis23,
author={Laura Lahtinen and Tommi Mahlamäki and Jussi Myllärniemi},
title={Benefits and Challenges of Robotic Process Automation},
booktitle={Proceedings of the 15th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 3: KMIS},
year={2023},
pages={249-255},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012208700003598},
isbn={978-989-758-671-2},
}
in EndNote Style
TY - CONF
JO - Proceedings of the 15th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 3: KMIS
TI - Benefits and Challenges of Robotic Process Automation
SN - 978-989-758-671-2
AU - Lahtinen L.
AU - Mahlamäki T.
AU - Myllärniemi J.
PY - 2023
SP - 249
EP - 255
DO - 10.5220/0012208700003598
PB - SciTePress