The strong effects of descriptive normative feedback (“how you compare to others”) on an individual’s electricity consumption have been documented in the IS literature. Here, we extend prior research on reference group effects (“whom to compare with”) by defining the relevance of the reference group in terms of similarity in contextual factors as opposed to personal characteristics. Specifically, we manipulate the spatial proximity of reference groups and test whether population density moderates the effects of feedback. In a field study with 560 energy customers, we find that reference groups that are close in terms of geographical proximity are more effective than more distant groups. However, population density does not moderate this effect. Designer of green information systems should therefore use reference groups that are close to the energy consumer with regard to geographical proximity, but they do not need to tailor the intervention to the energy consumer’s location.
The escalating rate of energy consumption underpins the need to set goals that promote a reduction in CO2 emissions. In 2011 the transport sector contributed 23% to the total EU CO2 emissions; road transport alone was responsible for 71% of this 23% compared to 12% from aviation transport. Corporate car drivers drive, on average, three times more than private car users in Europe (21,500 miles). An improvement in their fuel efficiency, by encouraging sustainable driving using eco-feedback technologies, has the potential to reduce CO2 emissions and promote fuel cost savings of 1% to 8%. This paper evaluates, through an explorative structured analysis, these findings further by defining recommendations for an organization intending to use eco-feedback technologies to reduce the overall corporate fleet's CO2 emission. The theoretical analysis of these findings, through the lens of the Feedback Intervention Theory and appraisal of corporate car drivers' extrinsic and intrinsic motivation, revealed that it is imperative to raise driver's awareness of their fuel consumption. Drivers' concerns regarding management monitoring leading to control and punishment, if their fuel efficiency has not improved, must be addressed. It is essential that an organizational roll-out is not associated with punishments, but focused on motivating employees by providing extrinsic motivation through realistic goal setting and constructive feedback.
The personal transport sector constitutes an important target of energy conservation and emission reduction programs. In this context, eco-feedback technologies that provide information on the driving behavior have shown to be an effective means to stimulate changes in driving in favor of both, reduced costs and environmental impact. This study extends the literature on eco-feedback technologies as it demonstrates that a smartphone application can improve fuel efficiency even under conditions where monetary incentives are not given, i.e. where the drivers do not pay for fuel. The field test, which took place with 50 corporate car drivers, demonstrates an improvement in the overall fuel efficiency by 3.23%. The theoretical contribution underlines the assumption that context-related feedback can favorably influence behavior even without direct financial benefits for the agent. Given the large share of corporate cars, findings are also of high practical importance and motivate future research on eco-driving feedback technologies.
Hot water usage accounts for 16% of household demand for energy, much more than lighting and cooking (5% each) and is comparable to electricity usage for appliances (21%). As a means of helping consumers to save hot water, we present a novel self-powered water consumption sensor that enables direct consumption feedback. We equipped 91 Swiss households with the sensors and recorded 3,164 individual showers during the period of three months. The presence of feedback during a shower resulted in the reduction of average shower water consumption from 79 l to 61 l (-22.2%) per day and household. In addition to savings attributable to already installed flow restrictors, an average household could conserve 6,400 l of drinking water and 210 kWh of heat energy (projected to one year). Furthermore, we show that the effects of direct feedback on water consumption did not decline over the course of the study.
We present a novel approach to identify individuals’ preferences in the context of
sustainable energy consumption by letting them play a public good game (PGG). The
study will be conducted using an energy-efficiency website developed by us and
operated by an Austrian utility company that currently facilitates 9,929 users out of
which 1,000 will be randomly selected as participants. Laboratory experiments on
PGGs identified two types of cooperative behavior: free riders and conditional
cooperators. While free riders tend to act unaffected by the behavior of others,
conditional cooperators are stronger influenced by the perception of their peers. In our
study, participants receive normative feedback on their consumption, and we
investigate the moderating effects of the PGG’s results on changes in energy
consumption. The findings will contribute to the design of information systems to
promote environmental sustainability because their effectiveness is increased if the
consumption feedback provided reflects the recipient’s preference.
AGL Energy operates in one of the most fiercely competitive markets in the world. Demand is volatile with high customer churn rates and supply procurement is real time with huge price variability. These characteristics make supply chain management difficult and the case study describes how information is used to match supply with demand.