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Difference between revisions of "Publication - Understanding Multi-Level Drivers of Behaviour Change - A Cross-Impact Balance Analysis of What Influences the Adoption of Improved Cookstoves in Kenya"
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Revision as of 11:57, 8 January 2019
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The paper outlines an approach for synthesizing empirical data from different analytical levels using the Cross-impact Balance (CIB) method in a way that is epistemologically consistent and documents its application. In so doing, we contribute a systemic view of how behaviour change with regard to the adoption of an improved cooking technology may – or may not – come about.
Furthermore, in order to explore consistent stories of behaviour change, the authors combine CIB with Scenario Diversity Analysis (SDA) as suggested by Kemp-Benedict (2012). Combining CIB with SDA allows us to reduce what might potentially be half a million combinations of scenarios – what we refer to in the paper as scenario kernels – to just four scenarios, which represents quite an efficient reduction.
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