The document discusses a project that examines the application of state-of-the-art innovation processes and tools, including open innovation, social media analytics, and crowdsourcing, in industrial companies across various sectors. The project will also examine the role of regional innovation hubs and new challenge-driven innovation policies. Key activities include interviews with 800 European companies and policy reviews to develop recommendations. The project analyzes questions around business environments, innovation ecosystems, management practices, and public policy.

1. Industrial Innovation
in Transition; Big Data
Photo:
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement
No 64935. The European Commission has no liability in respect for the above contents.

2. Objectives
● The project examines the application of State of
the Art innovation processes and tools, including
open innovation, social media analytics and crowd
sourcing, in the processes of industrial companies
representing various industry sectors.
● IIT will also examine the role of regional innovation
hubs in stimulating R&D investments and SMEs.
● The project also addresses the new challenge-
driven innovation policies and the promotion of
service innovations.
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement
No 64935. The European Commission has no liability in respect for the above contents.Photo:
5278205683_dcbcda7fea_o_Flickr_CCAttribution_BY_Horia_Varian_Modified

3. Key Activities
● In-depth interviews of 800 European companies
from 11 countries representing five sectors:
Cleantech, ICT, BioPharma, Agrofood and
Manufacturing
● Policy review and workshops with national and
regional stakeholders.
● Creation of research toolbox for Member States
and the EC for replicating the study.
● Extensive dissemination activities
● Policy recommendations
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement
No 64935. The European Commission has no liability in respect for the above contents.Photo:
5278205683_dcbcda7fea_o_Flickr_CCAttribution_BY_Horia_Varian_Modified

4. Key Questions
● Business environment and company strategy
● Innovation ecosystems
● Innovation management and practice (process,
IPR, open innovation, etc.)
● Mapping the environment
● Public policy (national, EU)
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement
No 64935. The European Commission has no liability in respect for the above contents.Photo:
5278205683_dcbcda7fea_o_Flickr_CCAttribution_BY_Horia_Varian_Modified

5. Innovation ecosystems – an embedded
approach?
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement
No 64935. The European Commission has no liability in respect for the above contents.Photo:
5278205683_dcbcda7fea_o_Flickr_CCAttribution_BY_Horia_Varian_Modified
Relevance of IES
INCREASED
Relevance of IES
DECREASED
Relevance of IES
HAS NOT
CHANGED
DID NOT KNOW if
relevance of IES
has changed
Change in relevance of innovation
ecosystems in the last 5-10 years

6. Initiatives for innovation
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement
No 64935. The European Commission has no liability in respect for the above contents.Photo:
5278205683_dcbcda7fea_o_Flickr_CCAttribution_BY_Horia_Varian_Modified
164
82
101
92
38
126 127
11
5 4
0
20
40
60
80
100
120
140
160
180

7. Big Data usage in Innovation;
Industry Sectors
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement
No 64935. The European Commission has no liability in respect for the above contents.Photo:
5278205683_dcbcda7fea_o_Flickr_CCAttribution_BY_Horia_Varian_Modified
Sector Yes, use big data No
Agrofood 14 35
Biopharma 15 34
Cleantech 20 39
ICT 27 39
Manufacturing 30 111
Total 106 258

8. OCEAN
Cloud Computing in Finland
Aalto University
Experts from
EIT ICT Labs, UC Berkeley, DIGILE

9. OCEAN- Cloud services used
34
28
59
29
60
57
50
54
17
39
69
59
0 10 20 30 40 50 60 70 80
Analytics, business intelligence (SaaS)
Application development (PaaS)
Business applications (i.e. ERP, CRM) (SaaS)
e-Commerce platform (webshop, procurement) (PaaS)
Infrastructure (computation, storage, capacity) (IaaS)
Office tools (docs, spreadsheets, presentations) (SaaS)
Open access tools (Skype, Dropbox) (SaaS)
Operational (i.e. HR, payroll, accounting) (SaaS)
Product/service development environment (i.e. run-time) (PaaS)
Productivity (e.g. groupware, project management) (SaaS)
Standard services (email, file sharing) (SaaS)
Web presence (website hosting, blogs) (IaaS/SaaS)
Cloud services used (n=122)

10. OCEAN- Barriers to usage
The reported major barriers: privacy, confidentiality and business continuity risks.

11. OCEAN- drivers to usage
Scalability and flexibility as the major drivers for Cloud

12. Challenges
● Trust; limited availability of platforms
● Business confidentiality, continuity
● Privacy concerns
● Skills to develop sophisticated algorithms
● Access to complementary data
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement
No 64935. The European Commission has no liability in respect for the above contents.Photo:
5278205683_dcbcda7fea_o_Flickr_CCAttribution_BY_Horia_Varian_Modified

13. Thank You
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement
No 64935. The European Commission has no liability in respect for the above contents.Photo:
5278205683_dcbcda7fea_o_Flickr_CCAttribution_BY_Horia_Varian_Modified