Leadership and performance in intermunicipal networks
Bibliographic Data
| ID | 20201062 |
|---|---|
| Authors | Denita Cepiku (0000-0002-5314-6770, University of Rome Tor Vergata, corresponding author), Marco Mastrodascio (0000-0003-4445-3645, University of Rome Tor Vergata) |
| Year | 2020 |
| Volume | 32 |
| Issue | 2 |
| Pages | 177-196 |
| Publication date | 2020-06-15 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Journal of Public Budgeting Accounting & Financial Management (JOURNAL) |
| Journal identifiers | ISSN: 1096-3367 • E-ISSN: 1945-1814 |
| Publisher | Emerald (PUBLISHER) |
| DOI | 10.1108/jpbafm-02-2019-0019 |
| OpenAlex | W3022312296 |
| Language | EN |
| Citations received | 4 |
| References cited | 75 |
Purpose The purpose of this research is to highlight the impact of integrative leadership behaviors on network performance in local government networks. Design/methodology/approach The data were retrieved from a survey conducted on 362 local government network leaders in Italy. Their leadership behaviors were compared with the level of network performance anonymously self-reported. Findings The findings show that high frequency in the usage of a specific category of behavior does not always lead to high performance in local government networks. Moreover, leadership behaviors leading to highly performing networks are not always engaged most frequently by networks' leaders. Originality/value This research gives an empirical contribution to a neglected topic: network leadership. Moreover, the authors attempt to highlight how it is able to influence network performance
Empirical research · Knowledge management · Local government · Originality · Political science · Public relations · Computer Science · E-Government and Public Services · Mathematics · Psychology · Public Administration · Public Policy and Administration Research · Social Capital and Networks · Social Psychology
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Network Embeddedness and Public Agency Performance
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| Unique citing works | 4 |
|---|---|
| Citations per year | 2 |
| Citation span | 2024 - 2024 (1) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 4 |