Carola Stryja

On the Necessity and Nature of E-Mobility Services – Towards a Service Description Framework

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.

Digital nudging to overcome cognitive resistance in innovation adoption decisions

ABSTRACT Consumers often resist adopting innovations, even in cases where they acknowledge that these would be beneficial for them. Cognitive biases in consumers’ decision-making may trigger resistance to innovation. We explore cognitive biases’ effects in innovation adoption decisions. Further, we investigate how digital nudging can be used to mitigate this in order to increase the adoption likelihood for an innovation. We build a set of hypotheses and test them in a quasi-field experiment with 821 participants. We first show that the occurrence of cognitive biases correlates with an up to 44% lower likelihood of adopting an innovation. Second, we find that digital nudging can partially overcome resistance to innovation and can increase the innovation adoption likelihood. Our findings contribute to theory by explaining how resistance to innovation is built from a cognitive perspective and how nudging can be used to increase innovation adoption.

Overcoming Innovation Resistance beyond Status Quo Bias - A Decision Support System Approach (Research-in-Progress)

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.