This paper presents an intentional-based modelling method aimed to support the analysis, the diagnosis and innovations for socio-technical ecosystems. Understanding and improving socio-technical ecosystems is still indeed a major challenge in the information systems domain. Current information systems' methods do not consider the particularities of socio-technical ecosystems where breakthrough innovation is not always possible. The proposed method called ADInnov aims at guiding a continuous innovation cycle in socio-technical ecosystems by focusing on the resolution of their blocking points. It combines different user-centred techniques such as interviews, serious games or storyboarding. The method, represented with the MAP formalism, results from the lessons learned in a healthcare domain project (InnoServ). Through an empirical study, project managers evaluated the method appropriateness.
The common way to make studies about user adoption of new technology is to test the future services with users. When conceiving new technological services, designers try to predict the way of life, when their innovation would be available. However, the society is innovating endlessly so that today's user is changing and is not the same than future user. It is easy to predict what will be technically feasible, however, what will be socially acceptable and meaningful is uncertain. Although usage studies try to understand the users of new technologies, the way people will really utilize new technologies in their everyday life appears often ingenious, surprising or even paradoxical. The purpose of this paper is to give a way to anticipate and -why not -to encourage unpredictable uses by designing paradoxical usage systems.
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