TY - JOUR A1 - Wenzel, Bertolt T1 - Organizing coordination in fisheries and marine environmental management: Patterns of organizational change in Europe JF - Bulletin of the Seismological Society of America N2 - Over the past decade, an increasing number of public organizations involved in marine governance in Europe have adapted their formal coordination structures for fisheries and marine environmental management. This study examines why the International Council for the Exploration of the Sea (ICES), DG FISH of the European Commission, the Norwegian Institute of Marine Research (IMR), and the Swedish Agency for Marine and Water Management (SwAM) have changed their sectoral structures into organizations with a geographical focus on marine ecosystems. The study finds that the gradual convergence of formal coordination structures for fisheries and marine environmental management is driven by coercive, normative and mimetic processes of isomorphism. The structural changes reflect an organizational adaptation to a changing institutional environment and an Ecosystem Approach to Management (EAM) focusing on regional marine areas, cross-sector integration and coordination. (C) 2016 Elsevier Ltd. All rights reserved. KW - Public organizations KW - Coordination KW - Fisheries management KW - Marine environmental management KW - Isomorphism Y1 - 2016 U6 - https://doi.org/10.1016/j.ocecoaman.2016.10.012 SN - 0964-5691 SN - 1873-524X VL - 134 SP - 194 EP - 206 PB - Elsevier CY - Oxford ER - TY - JOUR A1 - Wenzel, Bertolt T1 - Organizing coordination in a public marine research and management advice organization: The case of the Norwegian Institute of Marine Research JF - Marine policy N2 - Public organizations involved in marine management are increasingly confronted with coordination challenges in marine governance. This study examines why and how the Norwegian Institute of Marine Research (IMR) reorganized its formal coordination structures between the areas of fisheries management and marine environmental management The findings indicate that organizing efficient and, at the same time, legitimate coordination structures between different areas of marine governance is a "wicked" organizational problem with no ultimate and single optimal solution. In contrast to the assumptions of classical organization and management theory, the study finds that the reorganization of formal coordination structures is not necessarily driven for reasons of efficiency and perceived coordination problems. Instead, public marine management organizations also change their organizational structures to live up to external expectations to adopt modern management concepts, such as the Ecosystem Approach to Management (EAM). However, the study indicates that the adoption of the EAM has stimulated coordination and integration efforts in the research and advisory activities of the IMR. (C) 2015 Elsevier Ltd. All rights reserved. KW - Public organizations KW - Coordination KW - Wicked problems KW - Ecosystem approach KW - Fisheries management KW - Marine environmental management Y1 - 2016 U6 - https://doi.org/10.1016/j.marpol.2015.11.017 SN - 0308-597X SN - 1872-9460 VL - 64 SP - 159 EP - 167 PB - Elsevier CY - Oxford ER - TY - JOUR A1 - Büchner, Stefanie A1 - Dosdall, Henrik T1 - Organisation und Algorithmus BT - Wie algorithmische Kategorien, Vergleiche und Bewertungen durch Organisationen relevant gemacht werden BT - how organizations make algorithmic categories, comparisons, and evaluations relevant JF - Kölner Zeitschrift für Soziologie und Sozialpsychologie : KZfSS N2 - This article analyzes how organizations endow algorithms, which we understand as digital formats of observation, with agency, thus rendering them actionable. Our main argument is that the relevance of digital observation formats results from how organizations embed them in their decision architectures. We demonstrate this using the example of the Austrian Public Employment Service (AMS), which introduced an algorithm in 2018 to evaluate the chances of unemployed persons being reintegrated in the labor market. In this regard, the AMS algorithm serves as an exemplary case for the current trend among public organizations to harness algorithms for distributing limited resources in a purportedly more efficient way. To reconstruct how this is achieved, we delineate how the AMS algorithm categorizes, compares, and evaluates persons. Building on this, we demonstrate how the algorithmic model is integrated into the organizational decision architecture and thereby made actionable. In conclusion, algorithmic models like the AMS algorithm also pose a challenge for organizations because they mute chances for realizing organizational learning. We substantiate this argument with regard to the role of coproduction and the absence of clear causality in the field of (re)integrating unemployed persons in the labor market. N2 - Der vorliegende Beitrag analysiert, wie Organisationen Algorithmen, die wir als digitale Beobachtungsformate verstehen, mit Handlungsfähigkeit ausstatten und damit actionable machen. Das zentrale Argument lautet, dass die soziale Relevanz digitaler Beobachtungsformate sich daraus ergibt, dass und wie sie in organisationale Entscheidungsarchitekturen eingebettet sind. Diesen Zusammenhang illustrieren wir am Beispiel des österreichischen Arbeitsmarktservice (AMS), der 2018 einen Algorithmus einführte, um die Integrationschancen arbeitsuchender Personen zu bewerten. Der AMS steht dabei stellvertretend für aktuelle Bestrebungen vieler Organisationen, algorithmische Systeme einzusetzen, um knappe öffentliche Ressourcen vermeintlich effizienter zu distribuieren. Um zu rekonstruieren, wie dies geschieht, zeigen wir, welche Operationen des Kategorisierens, Vergleichens und Bewertens das algorithmische Modell vollzieht. Darauf aufbauend demonstrieren wir, wie das algorithmische Modell in die organisationale Entscheidungsarchitektur eingebunden ist. Erst durch diese Einbindung – die Möglichkeit, Unterschiede für andere, relativ stabil erzeugte Entscheidungen zu machen – entfaltet das digitale Beobachtungsformat soziale Relevanz. Abschließend argumentieren wir, dass algorithmische Modelle, wie sie am Fall des AMS beobachtet werden können, dazu tendieren, sich in Organisationen zu stabilisieren. Dies begründen wir damit, dass die organisationalen Lernchancen im Umgang mit dem Algorithmus dadurch reduziert sind, dass dieser in einem Bereich zum Einsatz kommt, der durch Technologiedefizit und koproduktive Leistungserstellung geprägt ist. T2 - Organization and algorithm KW - Digitization KW - Public organizations KW - Algorithms KW - Organizational learning KW - Digital observation formats KW - Digitalisierung KW - Öffentliche Organisationen KW - Algorithmen KW - Organisationales Lernen KW - Digitale Beobachtungsformate Y1 - 2021 U6 - https://doi.org/10.1007/s11577-021-00752-0 SN - 0023-2653 SN - 1861-891X VL - 73 IS - Suppl. 1 SP - 333 EP - 357 PB - Springer VS CY - Wiesbaden ER -