Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

Ulrik Roehl

Biographic Data

ID4128622
NAMEUlrik Roehl
GIVEN NAMESUlrik
FAMILY NAMERoehl
SIGNATUREROEHL U
AFFILIATIONSCopenhagen Business School
ORCID0000-0003-1242-0902
VERIFIEDYes
TOTAL WORKS3
TOTAL CITATIONS6
AUTHOR COUNT3
EDITOR COUNT0
FIRST PUBLICATION YEAR2023
LATEST PUBLICATION YEAR2025
H-INDEX1
  • Inside algorithmic bureaucracy: Disentangling automated decision-making and good administration

    Open Access•Ulrik Roehl, Joep Crompvoets•ARTICLE•Public Policy and Administration•2025•Cited by: 1•References: 33

    Public administrative bodies around the world are increasingly applying automated, administrative decision-making as underlying technologies such as machine learning mature. Such decision-making is a central element of emerging forms of algorithmic bureaucracies. With its direct exercise of public authority over individual citizens and firms, automated, administrative decision-making makes it particularly important to consider relations to values…

  • Automated, administrative decision‐making and good governance: Synergies, trade‐offs, and limits

    Open Access•Ulrik Roehl, Morten Balle Hansen•ARTICLE•Public Administration Review•2024•References: 48

    Automated, administrative decision‐making (AADM) is a key component in digital government reforms. It represents an aspiration for a better and more efficient administration but also presents challenges to values of public administration. We systematically review the emerging literature on use of AADM from the perspective of good governance. Recognizing the inherent tensions of values of public administration, the broad review identifies key syne…

  • Automated decision-making and good administration: Views from inside the government machinery

    Open Access•Ulrik Roehl•ARTICLE•Government Information Quarterly•2023•Cited by: 5•References: 17

    Use of semi- and fully automated, administrative decision-making in public administration is increasing. Despite this increase, few studies have explicitly analysed its relation to good administration. Good administration is regulations and norms aimed at securing the correctness of administrative decisions as well as the legitimacy of these and is often associated with underlying values such as transparency, equality of treatment and accountabil…

  • Automated decision-making and good administration: Views from inside the government machinery

    Open Access•Ulrik Roehl•ARTICLE•Government Information Quarterly•2023•Cited by: 5•References: 17

    Use of semi- and fully automated, administrative decision-making in public administration is increasing. Despite this increase, few studies have explicitly analysed its relation to good administration. Good administration is regulations and norms aimed at securing the correctness of administrative decisions as well as the legitimacy of these and is often associated with underlying values such as transparency, equality of treatment and accountabil…

  • Inside algorithmic bureaucracy: Disentangling automated decision-making and good administration

    Open Access•Ulrik Roehl, Joep Crompvoets•ARTICLE•Public Policy and Administration•2025•Cited by: 1•References: 33

    Public administrative bodies around the world are increasingly applying automated, administrative decision-making as underlying technologies such as machine learning mature. Such decision-making is a central element of emerging forms of algorithmic bureaucracies. With its direct exercise of public authority over individual citizens and firms, automated, administrative decision-making makes it particularly important to consider relations to values…

  • Automated decision-making and good administration: Views from inside the government machinery

    Open Access•Ulrik Roehl•ARTICLE•Government Information Quarterly•2023•Cited by: 5•References: 17

    Use of semi- and fully automated, administrative decision-making in public administration is increasing. Despite this increase, few studies have explicitly analysed its relation to good administration. Good administration is regulations and norms aimed at securing the correctness of administrative decisions as well as the legitimacy of these and is often associated with underlying values such as transparency, equality of treatment and accountabil…

  • Automated, administrative decision‐making and good governance: Synergies, trade‐offs, and limits

    Open Access•Ulrik Roehl, Morten Balle Hansen•ARTICLE•Public Administration Review•2024•References: 48

    Automated, administrative decision‐making (AADM) is a key component in digital government reforms. It represents an aspiration for a better and more efficient administration but also presents challenges to values of public administration. We systematically review the emerging literature on use of AADM from the perspective of good governance. Recognizing the inherent tensions of values of public administration, the broad review identifies key syne…

  • Inside algorithmic bureaucracy: Disentangling automated decision-making and good administration

    Open Access•Ulrik Roehl, Joep Crompvoets•ARTICLE•Public Policy and Administration•2025•Cited by: 1•References: 33

    Public administrative bodies around the world are increasingly applying automated, administrative decision-making as underlying technologies such as machine learning mature. Such decision-making is a central element of emerging forms of algorithmic bureaucracies. With its direct exercise of public authority over individual citizens and firms, automated, administrative decision-making makes it particularly important to consider relations to values…

Business (3 works) · E-Government and Public Services (3 works) · Public Policy and Administration Research (3 works) · Economics (2 works) · Finance (2 works) · Law (2 works) · Political science (2 works) · Public Administration (2 works) · Regulation and Compliance Studies (2 works) · Administration (probate law (1 works)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae