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Fraught with tension? A machine-learning approach to termination traits of public corporations in English and German local governments

  • Corporatization has gained scholarly attention in recent years, yet little is known regarding why many corporations are eventually terminated, and what happens to their form and functions thereafter. Reinternalizing services is one option local governments may pursue. This paper focuses on the impact of tensions (systemic contradictions) on this final resolution reached: Do local governments choose or refuse reinternalization? Conducting machine learning, I predict termination outcomes based on an original dataset of 244 ceased English and German companies (2010–2020). The results show that macrosystemic tensions are more relevant for resourcing decisions and reinternalization is less likely to be caused by formal ownership issues.

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Metadaten
Document Type:Article
Language:English
Author(s):Maike Rackwitz
Parent Title (English):Public Management Review
Publication year:2023
Publishing Institution:Hertie School
DOI:https://doi.org/10.1080/14719037.2023.2204323
Release Date:2023/05/03
Hertie School Research:Publications PhD Researchers
Centre for Digital Governance
Licence of document (German):Metadaten / metadata
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