1,664
Views
16
CrossRef citations to date
0
Altmetric
Original Articles

How to foster collaborative performance management? Key factors in the US federal agencies

&
Pages 1538-1559 | Published online: 21 Mar 2019
 

ABSTRACT

Public employees are urged to be tireless collaborators and skilled performance managers, but can they be both at the same time? We describe two approaches to collaborative performance management observed in the US federal performance system: interagency collaboration to achieve cross-agency goals, and intra-agency collaboration to achieve agency goals. We find that some factors that reinforce intra-agency collaboration – accountability to agency goals, investment in the agency performance system – fail to support, or even undercut, interagency collaboration. However, other factors – seniority, participation in goal-setting, and goal salience – can encourage both types of collaborative performance management.

Disclosure statement

No potential conflict of interest was reported by the authors.

Additional information

Notes on contributors

Iseul Choi

Iseul Choi is a PhD candidate at the Rockefeller College of Public Affairs and Policy at University at Albany-State University of New York. Her research interests are public management, performance management, human resource management, and work motivation.

Donald Moynihan

Donald Moynihan is the McCourt Chair at the McCourt School of Public Policy, Georgetown University. He studies performance management and administrative burdens.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 53.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 338.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.