The Effectiveness of Multi-Stakeholder Networks in the Implementation of Hydrometeorological Disaster Risk Reduction Policies: Systematic Literature Network Analysis
Abstrak
The effectiveness of multi-stakeholder collaborative networks versus government-centric approaches in
implementing hydrometeorological disaster risk reduction policies has not been comprehensively understood. This
study conducted a Systematic Literature Network Analysis (SLNA) to synthesize evidence of effectiveness and map the
research landscape through the integration of a systematic review with bibliometric analysis. SLNA combined a
systematic review (PRISMA guidelines) with bibliometric analysis using VOSviewer and bibliometrix. A systematic
search in Scopus (2015-2025) used multi-concept strings: multi-stakeholder networks, disaster risk reduction,
hydrometeorological disasters, and policy implementation. The analysis included citation networks, keyword cooccurrence
mapping, and temporal evolution tracking with triangulation of systematic and bibliometric findings. Of the
480 records, 45 final studies showed that 84% of the research confirmed the superior effectiveness of collaborative
networks: higher community participation (68% vs. 31%), faster response time (2.3 hours), and superior sustainability
(78% vs. 43%). Bibliometric analysis identified six cluster themes: governance models, coordination mechanisms,
stakeholder composition, disaster contexts, effectiveness outcomes, and geographic contexts. The temporal evolution
shows a growth from 72 publications (2015-2017) to 284 publications (2021-2024) with a transition of keywords towards
"network governance," "collaborative resilience," and "digital platforms." SLNA reveals the convergence of collaborative
governance-network theory-disaster management with emerging frontiers in digital governance integration. SLNA
confirms the superior effectiveness of collaborative networks and reveals a dynamic research landscape with promising
emerging themes for future exploration. The findings inform a network-based implementation framework and
collaborative governance policy reform. The SLNA methodology proves effective for understanding holistic knowledge
evolution and identifying research priorities based on quantitative evidence.
Keywords: systematic literature network analysis; multi-stakeholder networks; disaster risk reduction; collaborative
governance; bibliometric analysis; policy implementation; hydrometeorological disasters.
Penulis
Cara Mengutip
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Referensi
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