Web of Science: 14 cites, Scopus: 13 cites, Google Scholar: cites,
The ties that bind global governance : using media-reported events to disentangle the global interorganizational network in a global pandemic
Federo, Ryan (Universitat de les Illes Balears)
Bustamante, Xavier (Universitat Politècnica de Catalunya)

Data: 2022
Resum: This article disentangles the global interorganizational network by analyzing the ties of international actors - comprising multinational companies, intergovernmental organizations, and international nongovernmental organizations. The onset of COVID-19 is a rare opportunity to explore how this network has evolved in an exogenous event. Using a unique GDELT big dataset of events reported by the world's media, we extract and analyze the interorganizational interactions of international actors before and after the World Health Organization (WHO) announced that the COVID-19 outbreak was a public health emergency of international concern. Adopting an exploratory and descriptive approach at multiple levels of analysis, we draw on the theory of networks to uncover the fragmented, polycentric, and complex characteristics of the global interorganizational network. Our study highlights the use of media-reported events and the Goldstein scale as means to unpack the difficult-to-capture relational dynamics of international actors, which can help in theory development of the global interorganizational network that is crucial for collective action to address societal grand challenges.
Ajuts: Agencia Estatal de Investigación PID2020-115982RB-C21
Drets: Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, la comunicació pública de l'obra i la creació d'obres derivades, fins i tot amb finalitats comercials, sempre i quan es reconegui l'autoria de l'obra original. Creative Commons
Llengua: Anglès
Document: Article ; recerca ; Versió publicada
Matèria: Global interorganizational network ; Grand challenges ; GDELT ; Network analysis ; COVID-19 ; Theory of networks
Publicat a: Social networks, Vol. 70 (2022) , p. 253-266, ISSN 1879-2111

DOI: 10.1016/j.socnet.2022.02.012


14 p, 3.2 MB

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