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Robotic Process Automation and Consequences for Knowledge Workers; a Mixed-Method Study
This paper explores an overly optimistic and tenacious claim in the literature that robotic process automation (RPA) will only free knowledge workers from mundane tasks and introduce more interesting work. We explore this claim and other consequences for knowledge workers using data from a sequentia...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7134300/ http://dx.doi.org/10.1007/978-3-030-44999-5_10 |
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author | Eikebrokk, Tom Roar Olsen, Dag Håkon |
author_facet | Eikebrokk, Tom Roar Olsen, Dag Håkon |
author_sort | Eikebrokk, Tom Roar |
collection | PubMed |
description | This paper explores an overly optimistic and tenacious claim in the literature that robotic process automation (RPA) will only free knowledge workers from mundane tasks and introduce more interesting work. We explore this claim and other consequences for knowledge workers using data from a sequential quantitative-qualitative, mixed-method study in Norway. 88 RPA users from different sectors and industries where first surveyed to identify differences in utilization and effects from RPA. Then, differences were explored in 24 in-depth interviews in the public and private sectors, including financial industry, manufacturing, and oil and gas. Results indicate that RPA is used to either layoff or not reemploy knowledge workers, but also to empower knowledge workers with more interesting tasks. Private sector was different from public sector in that private, financial companies have experienced the strongest reduction in the need for employment. RPA often lead to layoffs indirectly, and to reduced need for consultants, especially in financial companies. In contrast, public companies use RPA more for innovations in their service production from increased quality in data registration, handling of invoices, and data migration between systems. We conclude that RPA is maturing as a management tool motivated by cost reductions from reduced employment, and we suggest propositions for further research. |
format | Online Article Text |
id | pubmed-7134300 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
record_format | MEDLINE/PubMed |
spelling | pubmed-71343002020-04-06 Robotic Process Automation and Consequences for Knowledge Workers; a Mixed-Method Study Eikebrokk, Tom Roar Olsen, Dag Håkon Responsible Design, Implementation and Use of Information and Communication Technology Article This paper explores an overly optimistic and tenacious claim in the literature that robotic process automation (RPA) will only free knowledge workers from mundane tasks and introduce more interesting work. We explore this claim and other consequences for knowledge workers using data from a sequential quantitative-qualitative, mixed-method study in Norway. 88 RPA users from different sectors and industries where first surveyed to identify differences in utilization and effects from RPA. Then, differences were explored in 24 in-depth interviews in the public and private sectors, including financial industry, manufacturing, and oil and gas. Results indicate that RPA is used to either layoff or not reemploy knowledge workers, but also to empower knowledge workers with more interesting tasks. Private sector was different from public sector in that private, financial companies have experienced the strongest reduction in the need for employment. RPA often lead to layoffs indirectly, and to reduced need for consultants, especially in financial companies. In contrast, public companies use RPA more for innovations in their service production from increased quality in data registration, handling of invoices, and data migration between systems. We conclude that RPA is maturing as a management tool motivated by cost reductions from reduced employment, and we suggest propositions for further research. 2020-03-06 /pmc/articles/PMC7134300/ http://dx.doi.org/10.1007/978-3-030-44999-5_10 Text en © IFIP International Federation for Information Processing 2020 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Article Eikebrokk, Tom Roar Olsen, Dag Håkon Robotic Process Automation and Consequences for Knowledge Workers; a Mixed-Method Study |
title | Robotic Process Automation and Consequences for Knowledge Workers; a Mixed-Method Study |
title_full | Robotic Process Automation and Consequences for Knowledge Workers; a Mixed-Method Study |
title_fullStr | Robotic Process Automation and Consequences for Knowledge Workers; a Mixed-Method Study |
title_full_unstemmed | Robotic Process Automation and Consequences for Knowledge Workers; a Mixed-Method Study |
title_short | Robotic Process Automation and Consequences for Knowledge Workers; a Mixed-Method Study |
title_sort | robotic process automation and consequences for knowledge workers; a mixed-method study |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7134300/ http://dx.doi.org/10.1007/978-3-030-44999-5_10 |
work_keys_str_mv | AT eikebrokktomroar roboticprocessautomationandconsequencesforknowledgeworkersamixedmethodstudy AT olsendaghakon roboticprocessautomationandconsequencesforknowledgeworkersamixedmethodstudy |