Analysis of the gamification applications to improve the energy savings in residential buildings

This paper proposes a set of metrics to evaluate and compare applications in a new but quickly developing field – energy management software (EMS) in residential buildings. The goal of the paper is to highlight tendencies and to detect drawbacks of pre sent applications to develop a new one taking into account the results of previous analysis. It shows a shortlist of applications examined. Provides the conclusion drawing to the metrics and proposes mai n issues to be considered in the development of a new application.Peer ReviewedPostprint (author's final draft

HR Analytics: Talent Acquisition

[Excerpt] HR Analytics is becoming increasingly important as new technologies, software and new methods of data collection are revolutionizing the HR function. One area in which analytics tools are particularly flourishing is the talent acquisition space. With an increasingly competitive talent market, talent acquisition presents itself as an area in which analytics tools can greatly supplement decision making for these 3 reasons: here are many measurable, verifiable metrics to measure in terms of sources of talent, candidate qualifications, and the efficacy of the recruitment process here is an abundance of sources from which to collect data (Online sources, interviews, etc.) With the increased importance of sourcing the correct talent, the opportunity to use analytics tools to make better decisions is quite compelling Given these reasons, talent acquisition presents itself as an opportunity for organizations to build their analytics capabilities while driving measurable business outcomes and improvements to their organization. As evidenced in the above graphic, many organizations are already undertaking these changes or considering changes in the near future

Evaluation of the East Bay Municipal Utility District's Pilot of WaterSmart Home Water Reports

This report presents the results of an independent evaluation of the East Bay Municipal Utility District's (EBMUD) year-long pilot project (Pilot) of WaterSmart Software's Home Water Reports (HWRs) service.The Pilot was intended to address three primary questions:First, would an SNB efficiency program like WaterSmart result in measurable reductionsin household water use?Second, would it increase rates of participation in other EBMUD conservation programs? Third, would it increase household knowledge and awareness of water consumption andways to use water more efficiently

The use of social media for improving energy consumption awareness and efficiency: An overview of existing tools

Raising consumers’ awareness of energy consumption is one of the first steps in encouraging the adoption of energy saving behaviours that result in energy efficiency. Green information systems are becoming recognised as a solution to many environmental problems although information technology (e.g. disposal of IT devices) has also been associated with causing detrimental effects on the environment. Researchers and practitioners have begun to focus on Green ICT but there is little scholarly research on the use of ICT tools such as social media from an energy efficiency context to raise consumer awareness and improve their engagement in tackling environmental issues. Therefore, the aim of this paper is to explore the use of social media and existing tools for the interaction of people on energy saving discussions and for generating awareness and engagement (which thereby leads to energy efficiency behaviour). In this paper the authors provide a state of the art review around the concept of energy awareness, models of consumer engagement, and more importantly the use of social media in the energy efficiency context. This research is based on a desk-based normative review and seeks to provide a better understanding to both scholars and practitioners involved in the use of ICT for driving energy consumer awareness and engagement for energy efficiency.This work evolved in the context of the project DAREED (Decision support Advisor for innovative business models and useR engagement for smart Energy Efficient Districts), www.dareed.eu, a project co-funded by the EC within FP7, Grant agreement no: 609082

The Role of Behavioural Economics in Energy and Climate Policy

This article explores how behavioural economics can be applied to energy and climate policy. We present an overview of main concepts of behavioural economics and discuss how they differ from the assumptions of neoclassical economics. Next, we discuss how behavioural economics applies to three areas of energy policy: (1) consumption and habits, (2) investment in energy efficiency, and (3) provision of public goods and support for pro-environmental behaviour. We conclude that behavioural economics seems unlikely to provide the magic bullet to reduce energy consumption by the magnitude required by the International Energy Agency's “450” climate policy scenario. However it offers new suggestions as to where to start looking for potentially sustainable changes in energy consumption. We believe that the most useful role within climate policy is in addressing issues of public perception of the affordability of climate policy and in facilitating the creation of a more responsive energy demand, better capable of responding to weather-induced changes in renewable electricity supply

A Clean Energy Roadmap: Forging the Path Ahead

Calls for better-aligned state policies, reduced market uncertainty, expanded power grid access, interagency and cross-sector collaboration, and a robust research-to-commercialization pipeline to boost investment in clean energy innovations and new firms

Nested Archimedean Copulas Meet R: The nacopula Package

The package nacopula provides procedures for constructing nested Archimedean copulas in any dimensions and with any kind of nesting structure, generating vectors of random variates from the constructed objects, computing function values and probabilities of falling into hypercubes, as well as evaluation of characteristics such as Kendall's tau and the tail-dependence coefficients. As by-products, algorithms for various distributions, including exponentially tilted stable and Sibuya distributions, are implemented. Detailed examples are given.

Social and interpersonal approaches to design for behaviour change

Copyright @ 2012 Social Science Electronic PublishingThis paper reviews a diverse set of social and interpersonal infl uence approaches and techniques which could be relevant to designers seeking to infl uence behavior change for social and environmental bene fit. These include work on social proof (which already has some practical applications in household energy use reduction studies) and dramaturgical and contextual approaches to modelling interaction. Perspectives on interpersonal infl uence are also covered, such as techniques extracted from Dale Carnegie's 'How to Win Friends and In fluence People', and a brief dive into the world of neuro-linguistic programming. In each case, implications for designers are highlighted and summarized at the end of the paper

The critical role of second-order normative beliefs in predicting energy conservation

This is the author accepted manuscript. The final version is available from Springer Nature via the DOI in this recordSustaining large-scale public goods requires individuals to make environmentally friendly decisions today to benefit future generations. Recent research suggests that second-order normative beliefs are more powerful predictors of behaviour than first-order personal beliefs. We explored the role that second-order normative beliefs—the belief that community members think that saving energy helps the environment—play in curbing energy use. We first analysed a data set of 211 independent, randomized controlled trials conducted in 27 US states by Opower, a company that uses comparative information about energy consumption to reduce household energy usage (pooled N = 16,198,595). Building off the finding that the energy savings varied between 0.81% and 2.55% across states, we matched this energy use data with a survey that we conducted of over 2,000 individuals in those same states on their first-order personal and second-order normative beliefs. We found that second-order normative beliefs predicted energy savings but first-order personal beliefs did not. A subsequent pre-registered experiment provides causal evidence for the role of second-order normative beliefs in predicting energy conservation above first-order personal beliefs. Our results suggest that second-order normative beliefs play a critical role in promoting energy conservation and have important implications for policymakers concerned with curbing the detrimental consequences of climate change