TY - JOUR
T1 - One Earth, One Humanity Versus the Virus
T2 - Examining the Global COVID-19 Social Partnership Communication Networks on Social Media
AU - Liu, Wenlin
AU - Yang, Aimei
AU - Shin, Jieun
AU - Li, Yiqi
AU - Sun, Jingyi
AU - Qu, Yan
AU - Zhen, Lichen
AU - Min Kim, Hye
AU - Dong, Chuqing
N1 - Publisher Copyright:
© The Author(s) 2022.
PY - 2023/4
Y1 - 2023/4
N2 - The COVID-19 pandemic has posed severe challenges that require collaborative efforts from multi-sector organizations. Guided by an institutional theory framework that considers how both organizational fields and national level contexts affect organizations’ social partnership communication, the current study examines the COVID-19-related social partnership communication network on social media. The cross-national study using semantic network analysis and exponential random graph models (ERGMs) first maps the meaning of COVID-19 social partnership network, and then investigates the role of organizational fields and a country’s political system, economic system, educational system, and cultural system on the formation of interorganizational communication ties surrounding the relief efforts of COVID-19. Results reveal the importance of the political system—such as the presence of populist government, economic disparity, and uncertainty avoidance cultural orientation in shaping the social media-based social partnership communication network. In addition, NGOs from multiple issue areas are actively engaged in the network, whereas corporations from manufacturing and financial industries are active players.
AB - The COVID-19 pandemic has posed severe challenges that require collaborative efforts from multi-sector organizations. Guided by an institutional theory framework that considers how both organizational fields and national level contexts affect organizations’ social partnership communication, the current study examines the COVID-19-related social partnership communication network on social media. The cross-national study using semantic network analysis and exponential random graph models (ERGMs) first maps the meaning of COVID-19 social partnership network, and then investigates the role of organizational fields and a country’s political system, economic system, educational system, and cultural system on the formation of interorganizational communication ties surrounding the relief efforts of COVID-19. Results reveal the importance of the political system—such as the presence of populist government, economic disparity, and uncertainty avoidance cultural orientation in shaping the social media-based social partnership communication network. In addition, NGOs from multiple issue areas are actively engaged in the network, whereas corporations from manufacturing and financial industries are active players.
KW - COVID-19 social partnership communication network
KW - interorganizational alliances
KW - national business system
KW - social media
UR - http://www.scopus.com/inward/record.url?scp=85135170602&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85135170602&partnerID=8YFLogxK
U2 - 10.1177/23294884221114393
DO - 10.1177/23294884221114393
M3 - Article
AN - SCOPUS:85135170602
SN - 2329-4884
VL - 60
SP - 587
EP - 610
JO - International Journal of Business Communication
JF - International Journal of Business Communication
IS - 2
ER -