Name
Abstract | ||
|---|---|---|
Business innovation is a process that requires creativity, and benefits from extensive collaboration. Currently, computational support in creativity processes is low, but modern techniques would allow these processes to be sped up. In this context, we provide such a computational support with software for business innovation design that uses computational creativity techniques. Furthermore, the software enables a gamified process to increase user engagement and collaboration, which mimics evolutionary methods, relying on a voting mechanism. The software includes a business innovation ontology representing the domain knowledge that is used to generate and select a set of diverse preliminary representations of business ideas. Indeed, the most promising for novelty and potential impact are identified to ignite a business innovation game where team members collaborate to elaborate new innovation ideas based on those inputs until convergence to a shortlist of business model proposals. The main features of the approach are illustrated by means of a running example concerning innovative services for smart cities. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.3390/info9120324 | INFORMATION |
Keywords | Field | DocType |
computational creativity, ontology, collaboration, gamification, business innovation | Ontology,Domain knowledge,Computer science,Knowledge management,Software,Artificial intelligence,Business model,Innovation game,Novelty,Creativity,Computational creativity,Machine learning | Journal |
Volume | Issue | ISSN |
9 | 12 | 2078-2489 |
Citations | PageRank | References |
0 | 0.34 | 11 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Antonio De Nicola | 1 | 232 | 27.46 |
| Giordano Vicoli | 2 | 3 | 2.19 |
| Maria Luisa Villani | 3 | 1079 | 50.41 |