Abstract
While new ways of doing research and innovation such as open science, Science 2.0, user innovation or crowdsourcing have been intensively discussed in the past few years, little systematic analysis and exploration of their wider positive, but also problematic effects for business and science has been done. Based on the findings from two European foresight projects critical aspects of changing research and innovation models and their challenges for research management and policy are discussed. A key challenge for companies, universities and research organizations is to adopt of new business models and define new collaboration strategies.
| Originalsprache | Englisch |
|---|---|
| Titel | i-KNOW '15 Proceedings of the 15th International Conference on Knowledge Technologies and Data-driven Business |
| Seitenumfang | 5 |
| DOIs | |
| Publikationsstatus | Veröffentlicht - 2015 |
| Veranstaltung | i-KNOW Conference 2015 - Dauer: 21 Okt. 2015 → 23 Okt. 2015 |
Konferenz
| Konferenz | i-KNOW Conference 2015 |
|---|---|
| Zeitraum | 21/10/15 → 23/10/15 |
Research Field
- Ehemaliges Research Field - Innovation Systems and Policy
Schlagwörter
- Open Innovation; Science 2.0; Foresight; Research Policy; Business Models
Fingerprint
Untersuchen Sie die Forschungsthemen von „Digital and open innovation: Implications for business models and research strategies of private and public organizations“. Zusammen bilden sie einen einzigartigen Fingerprint.Diese Publikation zitieren
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver