Abstract | ||
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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 story-boarding. 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. |
Year | DOI | Venue |
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2016 | 10.1007/978-3-319-39696-5_9 | ADVANCED INFORMATION SYSTEMS ENGINEERING (CAISE 2016) |
Keywords | Field | DocType |
Analysis,Diagnosis,Continuous innovation cycle,Socio-technical ecosystem,Organizational innovation,Service innovation,MAP | Information system,Pluralistic walkthrough,Health care,Data mining,Systems engineering,Computer science,Service innovation,Knowledge management,Formalism (philosophy),Sociotechnical system,Empirical research,Organizational innovation | Conference |
Volume | ISSN | Citations |
9694 | 0302-9743 | 2 |
PageRank | References | Authors |
0.71 | 8 | 5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Mario Cortes Cornax | 1 | 40 | 8.82 |
Agnès Front | 2 | 135 | 25.60 |
Dominique Rieu | 3 | 197 | 46.69 |
Christine Verdier | 4 | 21 | 10.43 |
Fabrice Forest | 5 | 3 | 1.12 |