Strategy Practices for Resilient Organizations: Exploring the Role of Scenario Planning

Hillmann, Julia; Duchek, Stephanie; Meyr, Julian; Guenther, Edeltraud

doi:10.5465/ambpp.2016.14278abstract

Cited by 1 publication

(1 citation statement)

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“…(1) Your organization can effectively evaluate the degree of potential risk in a project Chowdhury and Quaddus [91]; Hillmann et al [92] (2) Your organization develops contingency plans for organizational crises, such as technological innovation fail (3) Your organization is well prepared for unexpected events such as outbreaks, terrorist attacks, and cyber-attacks (4) When emergencies or risks occur, your organization can respond comprehensively and effectively…”

Section: Model Fitting and Hypothesismentioning

confidence: 99%

Innovation Network Reconfiguration Makes Infrastructure Megaprojects More Resilient

Sun

Liu

Zhao

2022

Computational Intelligence and Neuroscience

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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.

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Section: Model Fitting and Hypothesismentioning

confidence: 99%