Old Ways or New Bots: Conceptualizing Status Quo Bias and Corresponding Countermeasures for Robotic Process Automation

Abstract Robotic Process Automation (RPA) can drastically increase the efficiency of business processes within an organisation. Organizations use RPA to automate business processes quickly and easily. However, in practice, many RPA projects fail. A biased perspective on RPA can lead process participants to oppose its introduction, as they prefer the current way of operating. Status quo bias (SQB) – a biased preference for the current solution or way of doing things – can be one reason for a lack of acceptance in information systems (IS). SQB has often been researched in the context of IS; however, it has not yet been explored in the context of RPA. A biased perspective on the part of individuals is especially important for RPA due to the high level of involvement process participants have in the development process. If some individuals actively work to counter the introduction of such systems, driven by SQB, this situation can prevent organizations from taking advantage of the promise of the quick and easy implementation of RPA. This article offers a conceptualisation of SQB in the context of RPA. This lays the groundwork for an experiment to investigate both the extent to which SQB negatively affects the acceptance of RPA and to determine whether selected countermeasures help overcome this bias. As the results surprisingly do not support the literature-based hypotheses, the experiment is followed by an in-depth qualitative case study, expanding the insights obtained from the experiment. Ultimately, this article contributes to the theoretical understanding by reconceptualizing SQB for RPA and by discussing and evaluating appropriate countermeasures. In addition, the findings support practitioners’ efforts to overcome SQB and, thus, drive the introduction of RPA by being aware of its mechanisms and applying the countermeasures described.

Authors

Institutions

Publication Details

Journal
Business & Information Systems Engineering
Published
2025-09-29
DOI
https://doi.org/10.1007/s12599-025-00962-2
Primary Topic
Robotic Process Automation Applications
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Old Ways or New Bots: Conceptualizing Status Quo Bias and Corresponding Countermeasures for Robotic Process Automation

Marie Godefroid, Ralf Plattfaut, Peter A. François
Business & Information Systems Engineering
Robotic Process Automation Applications
article

Old Ways or New Bots: Conceptualizing Status Quo Bias and Corresponding Countermeasures for Robotic Process Automation

Marie Godefroid, Ralf Plattfaut, Peter A. François
article en

Abstract

Abstract Robotic Process Automation (RPA) can drastically increase the efficiency of business processes within an organisation. Organizations use RPA to automate business processes quickly and easily. However, in practice, many RPA projects fail. A biased perspective on RPA can lead process participants to oppose its introduction, as they prefer the current way of operating. Status quo bias (SQB) – a biased preference for the current solution or way of doing things – can be one reason for a lack of acceptance in information systems (IS). SQB has often been researched in the context of IS; however, it has not yet been explored in the context of RPA. A biased perspective on the part of individuals is especially important for RPA due to the high level of involvement process participants have in the development process. If some individuals actively work to counter the introduction of such systems, driven by SQB, this situation can prevent organizations from taking advantage of the promise of the quick and easy implementation of RPA. This article offers a conceptualisation of SQB in the context of RPA. This lays the groundwork for an experiment to investigate both the extent to which SQB negatively affects the acceptance of RPA and to determine whether selected countermeasures help overcome this bias. As the results surprisingly do not support the literature-based hypotheses, the experiment is followed by an in-depth qualitative case study, expanding the insights obtained from the experiment. Ultimately, this article contributes to the theoretical understanding by reconceptualizing SQB for RPA and by discussing and evaluating appropriate countermeasures. In addition, the findings support practitioners’ efforts to overcome SQB and, thus, drive the introduction of RPA by being aware of its mechanisms and applying the countermeasures described.

Business & Information Systems Engineering
South Westphalia University of Applied Sciences (DE), University of Duisburg-Essen (DE)
Deutsche Forschungsgemeinschaft
Openalex Percentile: Top 62%
Robotic Process Automation Applications
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.