Purpose – The present study is concerned with the determinants of RFID adoption among a group of early standards adopters. Despite the extensive discussion of the technological characteristics and expected benefits of RFID in the literature, only little is known about the drivers and barriers of RFID implementations in practice. This holds particularly for the later stages of the adoption process after an initial decision in favor of the technology was made. This paper aims to fill this gap by an analysis of a set of factors on the adoption of RFID, which have been shown to be relevant for the adoption of other forms of IT, such as ERP systems and EDI.
Design/methodology/approach – Based on a review of prior works, this paper constructs and empirically tests a structural model including factors related to the technology, the organization, and its environment.
Findings – The results suggest that top management support, perceived technology costs, and forces within the supply chain exert a significant influence on the adoption process. The study also finds that benefit perceptions have a significant but negative influence, which might be explained by the different modes of adopting RFID. The influence of a number of other factors known from the literature could not be supported by the study.
Originality/value – Prior works considered factors influencing the initial adoption decision among non-adopters. In contrast with these, the focus is set on research on early adopters that have already made a decision in favor of RFID standards. The data underlying this study were collected from EPCglobal, an international association of RFID adopters covering the whole supply chain.
This paper describes a field study to investigate whether and to what extent individuals conserve more electricity if they have the opportunity to signal their behavior to others in the online community. Moreover, the study intends to reveal how positive social sanctions (e.g., publicly rewarding people who reduce their energy consumption) and negative social sanctions (e.g., publicly warning people who increase their consumption) cause individuals to alter both their energy demand and their time dedicated to the online community. We discuss related work on identity disclosure in online communities, on promoting sustainable behavior with information systems, and on economic theory explaining the effects of prosocial motives on behavior. The study will be conducted as field experiment using an energy efficiency portal developed by us and operated by an Austrian utility company that currently facilitates 9,899 active users out of which 1,400 will be randomly selected as study participants.
Die Herausforderungen sind bekannt: Energiesparkampagnen sprechen lediglich einen kleinen Teil der Bevölkerung an, EVUs finden nur schwer Teilnehmer für Smart-Metering-Pilotprojekte, Online-Portale werden kaum genutzt – und dennoch kann es gelingen, Kunden für die Kontrolle ihres Energieverbrauchs zu begeistern. Allerdings braucht es dazu mehr als eine rein technisch durchdachte Lösung. Ein unkonventionelles Forschungsprojekt zeigt den möglichen Weg.
Identity signaling is a strong motivator for human behavior. We investigate whether we can nudge people to higher goals with regard to showering time reduction if they perceive a possibility to signal their green identity. In a fictional saving campaign by a utility company people saw a postcard displaying either a trendy or a non-mainstream greenie and the amount of effort (shower time reduction) that is associated with a certain reference saving goal. They chose their individual goal on the back side. We suggest that people who aim at signaling their identity choose higher goals when energy saving is associated with a non-mainstream greenie and medium effort in order to send clear identity signals to others. Our results confirm our hypotheses. Identity signaling therefore nudges people towards higher saving goals
For energy conservation purposes it is not sufficient to rely on energy efficient technology, energy savings also require changes of behavior and daily routines. However, ICT can play an important role in supporting behavior change. A first step to behavior change is to actively deal with one’s energy consumption. We present an interactive online application called aWattgarde which provides customers of an Austrian utility company with insights about their electricity consumption and with suggestions on how to reduce it. Customers are incentivized for reading their electricity meters and entering the readings online on a weekly basis. In this paper, we use aWattgarde as a tool to evaluate the effects of various motivational elements on usage. The evaluation bases on usage data of almost 7’000 customers who have been using the website for six months. In our evaluation we focused on different incentive systems as well as commitment- and infotainment strategies. We found that online applications that aim at motivating energy conservation should incorporate bonus points to reward desirable action immediately, commitment features to get people into a routine and using the application regularly and in the end should provide information in a playful and interactive way.
The paper presents a persuasive web application that stimulates residential energy conservation. The users of the application received consumption feedback that is based on electricity meter readings which they entered over a period of 6 months and which accounted for specific household characteristics. In a large scale field study which we conducted between April and September of 2010, 6’921 participants used the application. From a research perspective, the system allowed us to experimentally assess the effects of different socio-psychological concepts with regard to different measures such as popularity, choice, and energy conservation. The large user base and the real-world setting contributed to the validity of the findings. The discussion presented is structured along a behavioural change framework we adapted from Ölander’s and J. Thøgersen’s motivation – ability – opportunity model. Besides presenting the quantitative results of multiple studies and providing theoretical cues to outline the mechanisms behind the behaviour, we formulate guidelines that support the development of similar applications in research and industry.
In this paper we develop a method and relevant feature constructs for the measurement of accident risk exposure from a large sample of real-world GPS data that includes accident and accident-free drivers. For trip frequency and accumulated driven distance features, an evaluation of their discriminatory power is given based on computational results. In our conclusion, we briefly discuss suitable classification approaches and limitations arising from external validity considerations.