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Segmenting SMEs for better innovation support

HOW EFFICIENTLY ARE THEY SUPPORTED?

HOW CAN WE OPTIMIZE PUBLIC FUNDING?

HOW CAN WE SEGMENT SUPPORT RECIPIENTS?

The SMEthod Project will help Europe select SMEs that have the highest innovation potential and also choose which types of support to give them. Funded by HORIZON 2020, the seven-partner project investigates the factors that impact SME performance and the types of support that are most effective. Project outputs will help European support agencies to better harness the power of SMEs by funding their innovation capacities in a more efficient and socially desirable way.

 

The SMEthod project runs from December 2017 to June 2020.

OBJECTIVES

  1. Evaluation of the most common approaches to segmenting SMEs and of the efficiency of existing support measures (grants, tax credits and vouchers etc.).

  2. Development of an improved methodology for segmenting SMEs that takes into account the SMEs' life-cycles, sectors, innovation cycles and specific socio-cultural environments.

  3. Specification of a more efficient way of matching suitable support measures to segments of (potentially) innovative SMEs

  4. Implementation of a decision support tool (DST) based on the SMEthod methodology and disseminating/exploitating it among innovation supporting agencies, regional development agencies and the scientific community.

 
 
 

NEWS

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DECISION SUPPORT TOOL

DST.png

VIDEOS

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partners

The SMEthod consortium brings together partners with skills in market research, econometrics, innovation management and ICT. Partners are located in Cyprus, Finland, Poland, Spain and United Kingdom:

1. ASM - Market Research and Analysis Centre [PL] (coordinator)

2. University of Lodz [PL]

3. APINTECH Ltd [CY]

4. VTT Technical Research Centre of Finland [FI]

5. Badajoz Official Chamber of Commerce, Industry and Services [ES]

6. International Society for Professional Innovation Management (ISPIM) [UK]

7. Lancaster University [UK]

See project brief in national languages:

 
 

Contact

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©2017-2020 SMETHOD

This project has received funding from the EU Horizon 2020 research and innovation programme under grant agreement No 777491.