Quotation Stryja, Carola, Satzger, Gerhard, Dorner, Verena. 2017. A Decision Support System Design to Overcome Resistance towards Sustainable Innovations. In Proceedings of the 25th European Conference on Information Systems (ECIS), Hrsg. Association for Information Systems, 2885-2895. Guimarães, Portugal: None.


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Abstract

The concept of sustainability has been acknowledged as one of the central and most important issues of our time. However, technological innovations which provide a more sustainable way of living, for instance electric cars, are not always welcomed with open arms by consumers but often resisted at the beginning. As such, human resistance behavior can be explained as an interplay of different personality traits that favour the status quo. In this study, a decision support system design is introduced which bases on the concept of digital nudging that addresses innovation resistance on an individual’s cognitive level by de-biasing innovation trial decision-making. An experimental pre-study is conducted to test the influence of different DSS modifications on the selection of electric cars in an online rental car booking scenario. First results show that DSS which set sustainable innovations as default option have a significantly positive effect on their trial probability while priming consumers towards electric car trial has no significant effect.

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Publication's profile

Status of publication Published
Affiliation External
Type of publication Contribution to conference proceedings
Language English
Title A Decision Support System Design to Overcome Resistance towards Sustainable Innovations
Title of whole publication Proceedings of the 25th European Conference on Information Systems (ECIS)
Editor Association for Information Systems
Page from 2885
Page to 2895
Location Guimarães, Portugal
Year 2017
ISBN 978-0-9915567-0-0
Open Access N

Associations

People
Dorner, Verena (Details)
External
Satzger, Gerhard (Karlsruhe Institute of Technology (KIT), Germany)
Stryja, Carola (Karlsruhe Institute of Technology (KIT), Germany)
Organization
Institute for Digital Ecosystems IN (Details)
Research areas (ÖSTAT Classification 'Statistik Austria')
5367 Management information systems (Details)
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