Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Smart Local Governments Facing Turbulence: Robust Governance and Institutional Capacities

Version 1 : Received: 18 May 2023 / Approved: 19 May 2023 / Online: 19 May 2023 (08:40:37 CEST)

How to cite: Salvador, M.; Sancho, D. Smart Local Governments Facing Turbulence: Robust Governance and Institutional Capacities. Preprints 2023, 2023051413. https://doi.org/10.20944/preprints202305.1413.v1 Salvador, M.; Sancho, D. Smart Local Governments Facing Turbulence: Robust Governance and Institutional Capacities. Preprints 2023, 2023051413. https://doi.org/10.20944/preprints202305.1413.v1

Abstract

Crisis environments, which are becoming systemic, pose significant challenges to smart government strategies. The paper aims to contribute to academic debate by proposing an analytical framework for examining the institutional capacities of smart government systems in addressing local crises. The paper focuses on the recent approach of robust governance and highlights a set of variables that promote effective smart government: contingency planning capacity, analytical capacity, organizational management capacity, and collaborative capacity. The study presents an analytical model for evaluating the robustness and effectiveness of local smart government systems in crises. One of the significant findings of this study has been the identification of critical indicators that inform institutional capacities of smart government systems. By analyzing these indicators, the proposed analytical framework provides a comprehensive approach to assess the preparedness of smart government systems in dealing with crises. Moreover, it can be used to benchmark the performance of local smart government systems in similar contexts and identify best practices for improving crisis management.

Keywords

Smart Government Strategies; Crisis Environments; Governance Robustness; Institutional Capacities; Effective Local Governance; Evaluation; Indicators Analytical Model.

Subject

Social Sciences, Government

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