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Abstract. After years of focusing exclusively on the technological side of electric mobility (e-mobility), services are getting more and more in the focus of scientists. Many recent works concentrate on the identification and analysis of the potential of new business models in this field. Although the relevancy of services for the success of e-mobility is becoming more obvious among industry and science, there is still a lack in scientific contributions when asking for a comprehensive overview of existing e-mobility services. With this paper, we try to bridge this gap by providing a framework that enables the description and classification of services around the usage of an electric vehicle (EV). The framework captures six dimensions which allows to characterize and compare different services. This enables the identification of commonalities and differences between the services and provides an interdisciplinary playground for developing new services and further research in this field.

More and more business organizations recognize the relevance of sustainable innovations as driving factor for their corporate strategies, products and processes. But while the concept of sustainability is generally ratified by employees and consumers, their willingness to actually use or buy such innovations can be low. One of the most important facilitators for the adoption of innovations is self-experience generated by testing the innovation. This paper provides insight on how sustainable innovation testing affects consumer mindsets and which barriers consumers face when considering testing a sustainable innovation. The study draws on the data from an in-depth interview study with seven providers and consumers of electric cars (as sustainable innovation) in business and private environments. Insights about the nature of consumer's willingness to test are extracted and recommendations for the design and use of information systems as facilitators for testing sustainable innovations are derived.

When innovative products and services are launched to the market, many consumers initially resist adopting them, even if the innovation is likely to enhance their life quality. Explanations for this behavior can also be found in specific personality traits and in general pitfalls of human decisionmaking. We believe that decision support systems (DSS) can help alleviate such innovation resistance. We propose a DSS design that addresses innovation resistance to complex innovations on an individual's cognitive level. An experimental study will be conducted to test the influence of different DSS modifications on the perception and selection of complex innovations. We aim to identify levers for reducing innovation resistance and to derive DSS design implications.

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