2022
DOI: 10.1016/j.techfore.2022.121822
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Stability of cross impact matrices

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Cited by 10 publications
(4 citation statements)
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References 37 publications
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“…To synthesize place-based research on conflicts and synergies between land use, biodiversity conservation, and human wellbeing in north-eastern Madagascar, we chose a cross-impact analysis approach (Jodlbauer et al, 2022). This allowed us to synthesize published research as causal directional links between key factors in this social-ecological system.…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…To synthesize place-based research on conflicts and synergies between land use, biodiversity conservation, and human wellbeing in north-eastern Madagascar, we chose a cross-impact analysis approach (Jodlbauer et al, 2022). This allowed us to synthesize published research as causal directional links between key factors in this social-ecological system.…”
Section: Methodsmentioning
confidence: 99%
“…Here, we develop an innovative approach that tries to overcome some of these challenges. Our cross-impact analysis approach (Gordon & Hayward, 1968;Jodlbauer et al, 2022) builds on the identification of factors within the social-ecological system of interest, that are then crossed in a matrix to identify links between them. While such approaches typically rely on expert judgment (Messerli, 2000;Weitz et al, 2018), we use published studies identified through a systematic review to identify the factors and their links.…”
Section: Introductionmentioning
confidence: 99%
“…The analysis of their interdependencies and usage improves the synchronization of the supply of goods and service provisions [100]. Furthermore, data-driven methods such as cross-impact analysis [101] can help to explore the interdependencies in such complex networks.…”
Section: Coordination: From Planning To Shaping the Futurementioning
confidence: 99%
“…Cluster 3 highlights how knowing the social network can be analysed strategically for future events. Knowing certain behaviors at an early stage can be considered a key tool to not only predict future events, but also to identify leaders, identify potential knowledge loss or identify events that could influence employees' future knowledge-sharing intentions (Leon et al, 2017;Hansen & Løvås, 2004;Jodlbauer et al, 2022;Kelly et al, 2008;Lee, 2007;Rodan & Galunic, 2004;Ryall & Sorenson, 2007). The last cluster (Cluster 4) emphasises the use of new tools that can be used as a competitive advantage.…”
Section: Galunic 2004)mentioning
confidence: 99%