Evidence map›Paper›PMID 34092933›Full record

ArticleVoluntas : international journal of voluntary and nonprofit organizations2021

Combinations of Conditions for Network Effectiveness: A Fuzzy-Set Qualitative Comparative Analysis of 37 International Development Intervention Cases.

Seungheon Han, Minah Kang

Abstract read
In one paragraph

Article in Voluntas : international journal of voluntary and nonprofit organizations, 2021. 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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

2 authors.

Seungheon HanKorea Institute of Public Administration, Seoul, Republic of Korea.
Minah KangEwha Womans University, Seoul, Republic of Korea.ORCID 0000-0002-5262-286X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Most international development projects that aim to eradicate poverty and improve the quality of life of people in low- and middle-income countries are implemented through a collaborative network of multiple parties, including non-governmental organizations (NGOs). However, how network effectiveness in international development projects can be achieved remains unclear. Using fuzzy-set qualitative comparative analysis, this study explores the causal conditions of network effectiveness of 37 international development projects implemented by South Korean NGOs based on a theoretical lens of collaborative networks. Findings revealed two causal configurations for network effectiveness. Even under a lack of network management capacity and unintegrated networks, or under resource deficiency and lack of network management capacity, high-level local capacity or high-quality collaboration among partners was shown to produce network effectiveness. An in-depth analysis of two cases with successful network effectiveness was also conducted to achieve a more thorough and comprehensive understanding of the causal conditions. The findings suggest practical solutions to manage collaborative networks and compensate for deficiencies of diverse conditions to improve network effectiveness.

Indexed as

Collaborative networksFuzzy-set qualitative comparative analysis (fs/QCA)International development cooperationNon-governmental organizations (NGOs)

Identifiers

PMID34092933
PMCPMC8171235

What OpenQuestion holds

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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.