Organizing for Robotic Process Automation in Local Government: Observations from Two Case Studies of Robotic Process Automation Implementation in Swedish Municipalities
Ida Lindgren (),
Maria Åkesson (),
Michel Thomsen () and
Daniel Toll ()
Additional contact information
Ida Lindgren: Linköping University
Maria Åkesson: Halmstad University
Michel Thomsen: Halmstad University
Daniel Toll: Linköping University
A chapter in Service Automation in the Public Sector, 2022, pp 189-203 from Springer
Abstract:
Abstract Automation of internal administrative processes tied to the delivery of public services is outlined as a continuation of the development toward a more digital, efficient, and effective local government. However, this development is often based on unrealistic expectations of the transformative power of digital technologies. It is therefore important to further understand automation as a driver of digital transformation of local government organizations. Automation, in this chapter, is understood as a change from a function previously carried out by a human to being performed by a machine agent (e.g., robotic process automation). We explore and compare how initiatives to implement robotic process automation (RPA) are organized in two Swedish municipalities. Our analysis is based on semi-structured interviews with employees working in the two municipalities. The analysis shows interesting patterns across the cases concerning dissonances and disconnects between stakeholders on different levels in the organizations, making this kind of development difficult. Our results contribute with (a) empirical illustrations that show how general policies on process automation promoted by policymakers are influencing the organization of IT and work in local government practice; (b) challenges that affect the implementation of RPA in local government; and (c) point to a set of observations that require further research.
Date: 2022
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:prochp:978-3-030-92644-1_10
Ordering information: This item can be ordered from
http://www.springer.com/9783030926441
DOI: 10.1007/978-3-030-92644-1_10
Access Statistics for this chapter
More chapters in Progress in IS from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().