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Relational Mechanisms to Explain Collective Performance Data Use

Dados Bibliográficos

ID15748673
AutoresAlexander Kroll (0000-0002-2825-8607, Florida International University, autor correspondente)
Ano2023
Volume6
Fascículo2-3
Páginas106-118
Data de publicação2023-05-04
Peer ReviewedSim
Open AccessSim
TipoARTICLE
PeriódicoPerspectives on Public Management and Governance (JOURNAL)
Identificadores do periódicoISSN: 2398-4910 • E-ISSN: 2398-4929
EditoraOxford University Press (OUP) (PUBLISHER)
DOI10.1093/ppmgov/gvad002
OpenAlexW4368342904
IdiomaEN
Citações recebidas2
Referências citadas90

Performance management theory has been largely organizational with a focus on the decision maker, operating within the public-sector hierarchy. But such an understanding misses most contexts that are more horizontal and fall somewhere between intra-organizational team structures and inter-organizational collaborations. To address this gap, this article puts forward the concept of collective performance data use; a group-level construct defined through the lateral, voluntary, and reciprocal negotiations among partners. Drawing on related literatures, it develops a theoretical framework to explain collective data use based on three relational mechanisms (system sensemaking, deliberation routines, and dissent-conflict balancing) and a set of mechanism-activating antecedents, out of which four are featured in greater detail: connectedness, power imbalance, expertise configurations, and distributed leadership. The article argues we need to update extant performance management theory using a relational perspective if we want to better understand the social side of performance practices and related behaviors

Construct (python library · Deliberation · Knowledge management · Perspective (graphical · Political science · Politics · Public relations · Sensemaking · Social connectedness · Sociology · Accounting and Organizational Management · Computer Science · Management and Organizational Studies · Psychology · Public Policy and Administration Research · Social Psychology

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Obras citantes distintas2
Citações por ano2
Intervalo de citações2026 - 2026 (1)
Velocidade de citaçãocurrent
Altamente citadoNão
Tipos de citaçãoNeutras: 2
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