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Effect of Cross-Departmental Collaboration on Performance: Evidence from the Federal Highway Administration
- Source :
- Sustainability, Volume 13, Issue 11, Sustainability, Vol 13, Iss 6024, p 6024 (2021)
- Publication Year :
- 2021
- Publisher :
- Multidisciplinary Digital Publishing Institute, 2021.
-
Abstract
- Cross-departmental collaboration, one of the most salient administrative reforms, has been promoted to resolve cross-jurisdictional administration issues over the previous three decades. Nearly all previous empirical studies have examined the direct impact of cross-departmental collaboration on organizational performance without accounting for the indirect effects of managerial practices. Using data from the Federal Highway Administration, this study develops an integrated structural equation modeling and Bayesian network model used to examine both direct and indirect impacts of cross-departmental collaboration on organizational performance. The structural model indicates that cross-departmental collaboration has a direct effect on organizational performance and indirect effects through its influence on resource acquisition and knowledge creation. The scenario-based simulation suggests the optimal integration of managerial actions to improve agency performance, which is achieved by encouraging cross-departmental collaboration and supporting the knowledge creation process. Finally, implications are provided to present practical managerial actions from the Federal Highway Administration as an exemplar for other highway agencies.
- Subjects :
- Process management
Process (engineering)
Geography, Planning and Development
TJ807-830
Management, Monitoring, Policy and Law
TD194-195
Organizational performance
structural equation modeling
Structural equation modeling
Renewable energy sources
cross-departmental collaboration
Empirical research
organizational performance
0502 economics and business
Resource Acquisition Is Initialization
Agency (sociology)
050602 political science & public administration
GE1-350
Environmental effects of industries and plants
Renewable Energy, Sustainability and the Environment
05 social sciences
0506 political science
Environmental sciences
Bayesian network
Salient
Business
Administration (government)
050203 business & management
Subjects
Details
- Language :
- English
- ISSN :
- 20711050
- Database :
- OpenAIRE
- Journal :
- Sustainability
- Accession number :
- edsair.doi.dedup.....851aa1ae550d23f2e3dd9048231367fe
- Full Text :
- https://doi.org/10.3390/su13116024