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research-article

The Critical Success Factors for Robotic Process Automation

Authors:

Ralf Plattfaut,

Vincent Borghoff,

Marie Godefroid,

Michael Trampler,

André ConersAuthors Info & Claims

Volume 138, Issue C

https://doi.org/10.1016/j.compind.2022.103646

Published: 01 June 2022 Publication History

Abstract

Robotic Process Automation (RPA) is a comparably new phenomenon in process digitalization and automation. Prior research has identified a clear need to analyze Critical Success Factors (CSF) for RPA. In this study, we set out to derive a corresponding framework. Based on a structured review of the literature and an analysis of 19 expert interviews, we identify 32 CSFs which we subsume in several contextual clusters. Building on prior literature on CSF, we critically discuss how far the success factors we found are RPA-specific or hold for other process automation technologies or process improvement efforts in general, too. Based on this, we highlight implications for both theory and practice and areas for future research.

Highlights

•

Critical success factors (CSFs) are aspects organizations should focus on with regards to Robotic Process Automation (RPA).

•

Based on scholarly articles and expert interviews, several CSF for RPA can be identified.

•

RPA shares several CSF with other technologies and projects in general, e.g., top management support.

•

RPAhas several distinct technology specific CSF, e.g., the early inclusion of business and IT professionals.

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Cited By

Bagheri Svan de Wetering R(2024)RPA Ready? Unlocking Organizational RPA ReadinessDisruptive Innovation in a Digitally Connected Healthy World10.1007/978-3-031-72234-9_2(14-28)Online publication date: 11-Sep-2024
https://dl.acm.org/doi/10.1007/978-3-031-72234-9_2
Güner EHan SJuell-Skielse G(2024)From Routine to Automation: How RPA Advances Administrative Practices in Swedish UniversitiesElectronic Government and the Information Systems Perspective10.1007/978-3-031-68211-7_7(73-87)Online publication date: 26-Aug-2024
https://dl.acm.org/doi/10.1007/978-3-031-68211-7_7
Godefroid MPlattfaut RNiehaves B(2023)Increasing RPA Adoption: An Experiment on Countermeasures for Status Quo BiasBusiness Process Management10.1007/978-3-031-41620-0_19(323-340)Online publication date: 11-Sep-2023
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cover image Computers in Industry

Computers in Industry Volume 138, Issue C

Jun 2022

326 pages

ISSN:0166-3615

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Elsevier B.V.

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Elsevier Science Publishers B. V.

Netherlands

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Published: 01 June 2022

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Cited By

Bagheri Svan de Wetering R(2024)RPA Ready? Unlocking Organizational RPA ReadinessDisruptive Innovation in a Digitally Connected Healthy World10.1007/978-3-031-72234-9_2(14-28)Online publication date: 11-Sep-2024
https://dl.acm.org/doi/10.1007/978-3-031-72234-9_2
Güner EHan SJuell-Skielse G(2024)From Routine to Automation: How RPA Advances Administrative Practices in Swedish UniversitiesElectronic Government and the Information Systems Perspective10.1007/978-3-031-68211-7_7(73-87)Online publication date: 26-Aug-2024
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https://dl.acm.org/doi/10.1007/978-3-031-41620-0_19
Toll DBooth MLindgren I(2023)Robot Colleagues in Swedish Municipalities: How RPA Affects the Work Situation of EmployeesElectronic Government10.1007/978-3-031-41138-0_11(160-173)Online publication date: 5-Sep-2023
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Weilbach LSmuts HHattingh M(2023)Applying Experiential Learning to Deliver Industry-Ready Business AnalystsInnovative Technologies and Learning10.1007/978-3-031-40113-8_35(356-366)Online publication date: 28-Aug-2023
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Šperka RHalaška M(2022)The performance assessment framework (PPAFR) for RPA implementation in a loan application process using process miningInformation Systems and e-Business Management10.1007/s10257-022-00602-221:2(277-321)Online publication date: 30-Dec-2022
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François PBorghoff VPlattfaut RJaniesch C(2022)Why Companies Use RPA: A Critical Reflection of GoalsBusiness Process Management10.1007/978-3-031-16103-2_26(399-417)Online publication date: 11-Sep-2022
https://dl.acm.org/doi/10.1007/978-3-031-16103-2_26

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