Evidence map›Paper›PMID 40885868›Full record

ArticleEnvironmental management2025

The "Netweave-Approach"-A Platform Combining Sociology, Resource Management and Psychology for Networking Conservation Stakeholders.

Felix Przesdzink, Marvin Frede, Florian Fiebelkorn

Abstract read
In one paragraph

Article in Environmental management, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Felix PrzesdzinkDepartment Didactics of Biology, Osnabrück University, Osnabrück, Germany. felix.przesdzink@uos.de.ORCID 0000-0002-2633-9489
Marvin FredeDepartment Didactics of Biology, Osnabrück University, Münster, Germany.
Florian FiebelkornDepartment Didactics of Biology, Osnabrück University, Osnabrück, Germany.ORCID 0000-0002-7972-6925

Funding

Deutsche Bundesstiftung Umwelt 20020/683
6 · The paper itself

Abstract

The "Netweave Approach" innovatively combines constructs from sociology, resource management, organizational psychology, and environmental psychology within a single framework and corresponding management tool to support regional management in facilitating effective interactions among environmental stakeholders. This interdisciplinary approach, uniting social network analysis, resource mapping, organizational culture assessment, environmental worldview evaluation and environmental risk perception measurement in a way previously unused, enables the development of a uniquely detailed database of environmental stakeholders. Through this system, regional managers can gain detailed insights into their stakeholder networks, which provides a robust foundation for a network consultation process that maximizes effective regional collaboration. In this paper, we present the theoretical foundations of the approach and the structure of the resulting framework and management tool. Furthermore, we explain the concept of network consultation operating in conjunction with the tool. As a practical summary, we compile the results of a preliminary implementation of a corresponding stakeholder platform in the city and district of Osnabrück in northwestern Germany. Finally, we discuss whether the Netweave Approach can be adapted to various regions and contexts, contributing to more coordinated and effective conservation initiatives in diverse regional contexts. We provide specific suggestions regarding aspects of the approach that would need to be adjusted when applied to other regions.

Indexed as

Conservation of Natural ResourcesSociologyGermanyHumansSocial Network AnalysisConservation managementEnvironmental networkingOrganizational cultureResource-based networkingSocial network analysisStakeholder collaboration

Identifiers

PMID40885868
PMCPMC12575591

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.