PMID- 36156971
OWN - NLM
STAT- MEDLINE
DCOM- 20220928
LR  - 20220928
IS  - 1687-5273 (Electronic)
IS  - 1687-5265 (Print)
VI  - 2022
DP  - 2022
TI  - Innovation Network Reconfiguration Makes Infrastructure Megaprojects More 
      Resilient.
PG  - 1727030
LID - 10.1155/2022/1727030 [doi]
LID - 1727030
AB  - Innovation management of infrastructure megaprojects is a challenging task. There 
      are many risks in the process of innovation in engineering technology, such as 
      shortage of funds, policy fluctuations, and difficulties in the transformation of 
      achievements. Meanwhile, innovation organizations involve multiple participants, 
      which makes cooperation complicated. Therefore, resilient innovation is proposed 
      and considered as a tool that can optimize innovation management. The resilience 
      of innovation depends largely on partnerships at the organizational level, which 
      is rarely explored in current studies. This research aims to examine the 
      relationship between organizational resilience and innovation network 
      characteristics. Based on a survey of 164 participants in infrastructure 
      innovation projects, the structural equation model (SEM) is used to explore the 
      factors that influence organizational resilience. The findings show that there is 
      a positive correlation between network characteristics and organizational 
      resilience. Furthermore, the strength of network connections has a direct impact 
      on the preventive and resistance ability of resilience. Network heterogeneity has 
      an impact on the dual ability of resilience. Finally, a case study of the 
      Qinghai-Tibet Railway innovation network shows that based on the above influence 
      paths, we can find a strategy to reconstruct the network to improve resilience.
CI  - Copyright (c) 2022 Ruijiao Sun et al.
FAU - Sun, Ruijiao
AU  - Sun R
AUID- ORCID: 0000-0001-9295-1134
AD  - School of Economics and Management, Beijing Jiaotong University, Beijing 100044, 
      China.
FAU - Liu, Yisheng
AU  - Liu Y
AD  - School of Economics and Management, Beijing Jiaotong University, Beijing 100044, 
      China.
FAU - Zhao, Jianghu
AU  - Zhao J
AUID- ORCID: 0000-0002-2676-5138
AD  - Beijing General Municipal Engineering Design & Research Institute Co., Ltd., 
      Beijing 100082, China.
LA  - eng
PT  - Journal Article
DEP - 20220915
PL  - United States
TA  - Comput Intell Neurosci
JT  - Computational intelligence and neuroscience
JID - 101279357
SB  - IM
MH  - Humans
MH  - *Organizational Innovation
MH  - Surveys and Questionnaires
PMC - PMC9499765
COIS- The authors declare no conflicts of interest.
EDAT- 2022/09/27 06:00
MHDA- 2022/09/28 06:00
PMCR- 2022/09/15
CRDT- 2022/09/26 17:00
PHST- 2022/07/08 00:00 [received]
PHST- 2022/09/01 00:00 [accepted]
PHST- 2022/09/26 17:00 [entrez]
PHST- 2022/09/27 06:00 [pubmed]
PHST- 2022/09/28 06:00 [medline]
PHST- 2022/09/15 00:00 [pmc-release]
AID - 10.1155/2022/1727030 [doi]
PST - epublish
SO  - Comput Intell Neurosci. 2022 Sep 15;2022:1727030. doi: 10.1155/2022/1727030. 
      eCollection 2022.