Different perceptions of adaptation to climate change: a mental model approach applied to the evidence from expert interviews

We argue that differences in the perception and governance of adaptation to climate change and extreme weather events are related to sets of beliefs and concepts through which people understand the environment and which are used to solve the problems they face (mental models). Using data gathered in 31 in-depth interviews with adaptation experts in Europe, we identify five basic stakeholder groups whose divergent aims and logic can be related to different mental models they use: advocacy groups, administration, politicians, researchers, and media and the public. Each of these groups uses specific interpretations of climate change and specifies how to deal with climate change impacts. We suggest that a deeper understanding and follow-up of the identified mental models might be useful for the design of any stakeholder involvement in future climate impact research processes. It might also foster consensus building about adequate adaptation measures against climate threats in a society

Critically reviewing smart home technology applications and business models in Europe

Smart home technologies refer to devices that provide some degree of digitally connected or enhanced services to occupants. Smart homes have become central in recent technology and policy discussions about energy efficiency, climate change, and innovation. However, many studies are speculative, lacking empirical data, and focus on costs and benefits, but not business models and emerging markets. To address these gaps, our study presents data from semi-structured expert interviews and a review of the recent literature. Although we draw from empirical data collected in the United Kingdom, we place our findings in the context of Europe because the UK has access to European markets for smart home technologies and platforms. Our sampling strategy included experts from Amazon, Microsoft, the International Energy Agency, government, academic, and civil society stakeholders. We identify a diversity of definitions associated with smart home technologies and draw from our data to discuss applications centred on digital connections, enhanced control, automation, and learning. We analyse fifteen distinct business models for smart home technologies, ranging from energy services and household data monitoring to assisted living, security and safety, and new advertising channels (among others). Our assessment ought to guide future innovation patterns, technology deployment, and policy activity relating to smart homes, especially insofar as they can deliver energy services more affordably or help meeting carbon mitigation priorities