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Testing a Multi-Dimensional Model of Organizational Performance

Prospects and Problems

Bibliographic Data

ID6294264
AuthorsSally Coleman Selden (University of Lynchburg, corresponding author), C Selden
Year2004
Volume14
Issue3
Pages395-416
Publication date2004-07-01
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueJournal of Public Administration Research and Theory (JOURNAL)
Journal identifiersISSN: 1053-1858 • E-ISSN: 1477-9803
PublisherOxford University Press (OUP) (PUBLISHER)
DOI10.1093/jopart/muh025
OpenAlexW2011301954
LanguageEN
Citations received40
References cited8

Scholars have been preoccupied for generations with identifying the “best measure” and model of organizational performance. Drawing on previous work focused on the development of multi-dimensional frameworks or models of organizational performance, this article presents our perspective on organizational performance, discussing a multi-dimensional model that emphasizes the importance of assessing the two primary dimensions of performance, management and program performance. We advocate for the use of both perceptual and objective measures in seeking to understand organizational performance, finding that examining these perceptual and objective measures has significant usefulness in fully capturing performance. In addition, through the use of multi-level random coefficient (or hierarchical) modeling, we find various interconnections between management dimensions and program dimensions in understanding organizational performance in twenty-two human service organizations providing early care and education services

Business · Data mining · Knowledge management · Measure (data warehouse · Organization development · Organizational behavior and human resources · Organizational behavior management · Organizational Effectiveness · Organizational learning · Organizational performance · Organizational studies · Perception · Performance Management · Perspective (graphical · Accounting and Organizational Management · Computer Science · Evaluation and Performance Assessment · Psychology · Public Policy and Administration Research · Artificial Intelligence · Marketing

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Unique citing works40
Citations per year1,9
Citation span2005 - 2025 (21)
Citation velocityrecent
Highly citedNo
Citation typesNeutral: 39

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