hal-05713181 Why is it Difficult to Implement Robotic Process Automation ?
Swedish municipalities have been urged by policy makers to implement automation technologies to make administrative work more cost-efficient. As a response, a large set of municipalities have attempted to implement Robotic Process Automation (RPA) solutions with the intention to speed up administrative processes. However, although RPA has been promoted for several years, implementation has been limited and slow. This paper explores challenges related to RPA implementation experienced by three Swedish municipalities. We use an extensive interpretive case study as our empirical foundation, generated in collaboration with three Swedish municipalities, complemented with interviews with RPA consultants. Through interpretive analysis, we generate challenges along four themes. Our analysis shows that RPA implementation requires that different organizational sub-units and stakeholders cooperate. Challenges arise from: initiating RPA top-down without bottom-up support; insufficient process- and IT-competence; dependence on individual enthusiasts and external RPA consultants; and subsequent difficulties in finding the right processes to automate. Our study contributes with empirical illustrations of how RPA implementation is made difficult by current organizational structures and resources. We confirm and further contribute to previous findings by pointing to multiple dimensions in which challenges can arise.
Site référencé: HAL-SHS
HAL-SHS
[hal-05713175] Towards a Research Agenda for Personal Data Spaces : Synthesis of a Community Driven Process
7/08/2026
[hal-05713174] Business-to-Government Data Sharing for Public Interests in the European Union : Results of a Public Consultation
7/08/2026
[hal-05713173] Letting Your Data Imagination Run Away with You. Promises and Perspectives of a Public Sector Data Analytics Implementation
7/08/2026
[hal-05713172] Use of Commercial SaaS Solutions in Swedish Public Sector Organisations under Unknown Contract Terms
7/08/2026
[hal-05713171] ‘Right to Be Forgotten’ : Analyzing the Impact of Forgetting Data Using K-NN Algorithm in Data Stream Learning
7/08/2026
[hal-05713170] Supporting Smart Mobility in Smart Cities Through Autonomous Driving Buses : A Comparative Analysis
7/08/2026