Consumer behavior.

Food availability and food waste are signi cant global problems which can be
mitigated through the use of sensor networks. Current methods of monitoring food
waste require manual data collection and are implemented infrequently, providing
imprecise information. The use of sensors to automate food waste measurement
allows constant monitoring, provides a better dataset for analysis, and enables real-
time feedback, which can be used to affect behavioral change in consumers. The
data from such networks can be used to drive ambient displays designed to educate
a target audience, and ultimately reduce the amount of waste generated. We present
WASTE REDUCE, a system for automating the measurement of food waste and
affecting behavioral change. The challenges and results of deploying such a system
are presented. To assess the bene ts of using WASTE REDUCE, two case studies
are conducted. The rst study evaluates three different displays, and the second
reevaluates one of these displays in a separate location. These studies con rm that
the combination of automated monitoring and ambient feedback can reduce food
waste for targeted groups.

This study examines the influence of various facets of perceived risk on the
attitudes toward really new services (RNS) and adoption intentions. Although there is
considerable research examining perceived risk and consumer adoption of innovations,
three aspects of the relationship have been neglected. First, much of the research on
really new innovations is product-focused with little attention to services. Second, there is
limited research examining perceived risk as a multidimensional construct. Third,
consumer characteristics that affect the relationship between perceived risks and adoption
intentions have not been included in most of the innovation studies. Thus, this study
seeks to provide answers to the questions of “which types of perceived risk are more
likely to affect adoption intentions of RNS?” and “which consumer characteristics affect
the relationship between perceived risks and adoption intentions of RNS?”. The findings of the study show the influence of perceived risk in the service innovations area. We
contribute to theory and practice by identifying the specific risks that cause consumers to
resist adopting RNS as well as showing the explanatory power of Regulatory Focus
Theory (RFT) to understand why consumers react differently when they encounter
service innovations.