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

  • Open Access
  • 17-11-2025
  • Publisher Correction

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The original article can be found online at https://doi.org/10.1007/s12599-025-00962-2.

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Correction to: Business & Information Systems Engineering https://doi.org/10.1007/s12599-025-00962-2
In this article Figs. 2 and 3 have been interchanged.
The correct order is shown below.
Fig. 2
Results of the PLS–SEM analysis
Full size image
Fig. 3
Revised SQB model for RPA
Full size image
The original article has been corrected.
Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Title
Publisher Correction: Old Ways or New Bots: Conceptualizing Status Quo Bias and Corresponding Countermeasures for Robotic Process Automation
Authors
Marie Elisabeth Zubler
Peter Alois François
Ralf Plattfaut
Publication date
17-11-2025
Publisher
Springer Fachmedien Wiesbaden
Published in
Business & Information Systems Engineering
Print ISSN: 2363-7005
Electronic ISSN: 1867-0202
DOI
https://doi.org/10.1007/s12599-025-00973-z

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