Householders’ Mental Models of Domestic Energy Consumption: Using a Sort-And-Cluster Method to Identify Shared Concepts of Appliance Similarity

If in-home displays and other interventions are to successfully influence people's energy consumption, they need to communicate about energy in terms that make sense to users. Here we explore householders' perceptions of energy consumption, using a novel combination of card-sorting and clustering to reveal shared patterns in the way people think about domestic energy consumption. The data suggest that, when participants were asked to group appliances which they felt naturally 'went together', there are relatively few shared ideas about which appliances are conceptually related. To the extent participants agreed on which appliances belonged together, these groupings were based on activities (e.g., entertainment) and location within the home (e.g., kitchen); energy consumption was not an important factor in people's categorisations. This suggests messages about behaviour change aimed at reducing energy consumption might better be tied to social practices than to consumption itself

Polarizable Water Model for the Coarse-Grained MARTINI Force Field

Coarse-grained (CG) simulations have become an essential tool to study a large variety of biomolecular processes, exploring temporal and spatial scales inaccessible to traditional models of atomistic resolution. One of the major simplifications of CG models is the representation of the solvent, which is either implicit or modeled explicitly as a van der Waals particle. The effect of polarization, and thus a proper screening of interactions depending on the local environment, is absent. Given the important role of water as a ubiquitous solvent in biological systems, its treatment is crucial to the properties derived from simulation studies. Here, we parameterize a polarizable coarse-grained water model to be used in combination with the CG MARTINI force field. Using a three-bead model to represent four water molecules, we show that the orientational polarizability of real water can be effectively accounted for. This has the consequence that the dielectric screening of bulk water is reproduced. At the same time, we parameterized our new water model such that bulk water density and oil/water partitioning data remain at the same level of accuracy as for the standard MARTINI force field. We apply the new model to two cases for which current CG force fields are inadequate. First, we address the transport of ions across a lipid membrane. The computed potential of mean force shows that the ions now naturally feel the change in dielectric medium when moving from the high dielectric aqueous phase toward the low dielectric membrane interior. In the second application we consider the electroporation process of both an oil slab and a lipid bilayer. The electrostatic field drives the formation of water filled pores in both cases, following a similar mechanism as seen with atomistically detailed models

Towards a Framework for Understanding Fairtrade Purchase Intention in the Mainstream Environment of Supermarkets

© 2014, Springer Science+Business Media Dordrecht. Despite growing interest in ethical consumer behaviour research, ambiguity remains regarding what motivates consumers to purchase ethical products. While researchers largely attribute the growth of ethical consumerism to an increase in ethical consumer concerns and motivations, widened distribution (mainstreaming) of ethical products, such as fairtrade, questions these assumptions. A model that integrates both individual and societal values into the theory of planned behaviour is presented and empirically tested to challenge the assumption that ethical consumption is driven by ethical considerations alone. Using data sourced from fairtrade shoppers across the UK, structural equation modelling suggests that fairtrade purchase intention is driven by both societal and self-interest values. This dual value pathway helps address conceptual limitations inherent in the underlying assumptions of existing ethical purchasing behaviour m odels and helps advance understanding of consumers’ motivation to purchase ethical products

Does trust play a role when it comes to donations? A comparison of Italian and US higher education institutions

Higher education institutions (HEIs) have experienced severe cutbacks in funding over the past few years, with universities examining options for alternative funding streams, such as alumni funding. Identifying the factors influencing their alumni's intentions to invest in their alma mater can be of significant importance when establishing a sustainable revenue stream. Within this context, empirical research on the potential role of trust is scarce. This paper aims to deepen the analysis of the relationship between alumni trust and engagement as well as three outcomes, namely support, commitment, and attitude toward donation. A structural equation model was tested on two samples of US (  = 318) and Italian (  = 314) alumni. Although both countries are affluent and developed countries, the USA has an established tradition of alumni donations, which is not such a developed practice in Italy. For both countries, results confirm that engagement is an antecedent of trust, which in turn leads to the three investigated outcomes (support, commitment, and attitude toward donations). In contrast, the effect of commitment on attitude toward donations is significant only for the USA universities. The paper has interesting theoretical and managerial implications. From a theoretical point of view, the study aims to address a gap concerning the role of trust in the HE context. Managerially, the study has significant implications for universities that want to change alumni attitude toward donations. [Abstract copyright: © Springer Nature B.V. 2020.

Monetize this? Marketized-commons platforms, new opportunities and challenges for collective action

In this paper we argue that recent developments in peer-to-peer platforms, including those underpinned by distributed-ledger technology (or blockchains), represent a new model for organizing collective action, which we term the “marketized-commons” model. Drawing on social psychological and economic theory, we compare this concept to established modes of organizing collective action. We also consider the marketized-commons model in relation to other peer-to-peer economies. We consider why individuals might be motivated to create and use platforms underpinned by the marketized-commons model, as well as how it might be counterproductive for cooperation, collaboration, participation and social goals. Finally, we recommend implications for those interested in designing peer-to-peer platforms to support collective action. Ultimately, we argue that to develop effective platforms in this context designers need to look beyond the financial considerations of individual platform users. Rather, they also need a concern for social psychological principles and processes, specifically how groups work and operate in these settings