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2020 ; 19
(ä): 100157
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Preventing COVID-19 from the perspective of industrial information integration:
Evaluation and continuous improvement of information networks for sustainable
epidemic prevention
#MMPMID32839741
Yin S
; Zhang N
; Dong H
J Ind Inf Integr
2020[Sep]; 19
(ä): 100157
PMID32839741
show ga
COVID-19 is accelerating industrial information integration (III) for sustainable
epidemic prevention and innovation design. It is important to emphasize that this
interaction makes it reciprocal. To prevent COVID-19, the III of industrial
sectors should be strengthened to encourage innovation for sustainable epidemic
prevention. Accordingly, we studied the overall dynamic change trend of
industrial sectors' information integration networks (IIN), the characteristics
of individual IIN, and their influence on IIN performance. In the study, the
gravity model and social network analysis were used to determine the variables of
industrial sectors' information distance and quality, and to construct the IIN of
industrial sectors. The results show that the overall relevance of the IIN of
industrial sectors is low, and the network density fluctuates, with high network
efficiency and poor stability. Two-way, strong correlation between industrial
sectors is relatively low. The spillover effect of industrial sectors in the
upstream of the industrial chain is poor, and it is difficult to have a strong
information integration driving effect on the downstream industrial sectors. The
interplate linkage of the IIN of industrial sectors is insufficient. Compared
with point centrality and closeness, improvement of the betweenness centrality of
industrial sectors can significantly improve IIN performance.