To express your interest in participating, please complete this online form until 13 July 2018:

The project called OaSIS – Optimization of Support for Innovating SMEs – helps to improve the effectiveness of innovation support measures provided by regional development agencies to small and medium-sized companies (SMEs). A tool for identifying which activities to support innovating SMEs are particularly successful and mapping segmentation techniques in 15+ countries will be the result.

The project coordinator Cracow University of Technology cordially thanks you on behalf of all project partners for your participation!

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* 1. Contact details

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* 2. Level of participation you are interested in:

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* 3. Please explain: Which techniques are used at the development agency to segment SMEs? (max. 500 words)

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* 4. Please list the development agency's innovation support services, including the portfolio of innovation support measures used to improve SMEs’ competitiveness. (max. 500 words)

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* 5. If you would like to upload a pdf, doc, or docx describing your portfolio of innovation support services, please upload it here:

PDF, DOCX, DOC file types only.
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* 6. Please provide an overview about the development agency's available data, which contain precise & historic information about cases of support provided to SMEs during the past 10 years.
Kindly indicate: Does the data contain the type of support mechanism provided (innovation vouchers, mentoring, innovation audits, tax exemptions), characteristics of the SME (size, ownership structure, sector, age), application process for the enterprise that led to the support from the agency, evaluation reports, timeframe of the support, and methods used for the client base segmentation? (max. 500 words)

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* 7. Is the development agency experienced in collaborative data sharing?

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* 8. Does the development agency manage a readily exportable database, or do you think you could easily export the relevant data about SMEs?

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* 9. Please estimate the number of SMEs about which you documented your collaboration during the last 10 years?

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* 10. About how many SMEs, with which you collaborate during one year, do you gather information?

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* 11. Please insert the number of how many % of your collected data provides information about:

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* 12. Has the development agency implemented methodologies to identify "gazelle SMEs", which are high growth SMEs?

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* 13. Has the development agency implemented a system to identify SMEs with "high internationalization potential", e.g. via export data, product catalogue, EU grant?

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* 14. Does the development agency profile the areas in which the supported SMEs are active, e.g. if they belong to specific clusters (biotech, aeronautics, robotics), or value chain (aerospace industry, construction industry), or smart specializations (RIS3)?

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* 15. Does the development agency identify "high innovation potential SMEs", for instance those with more: patents, scientific publications, external funding or grants, employees in R&D, expenses in R&D?

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* 16. Does the development agency apply any other segmentation methodologies, e.g. according to size, age of enterprise, or number of employees etc.?

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* 17. What other areas would be interesting for the development agency to improve when it comes to supporting innovating SMEs? (max. 500 words)

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* 18.
The OaSIS project will provide non-disclosure agreements to grant utmost confidentiality and data protection to all participants: Would the development agency share data with the OaSIS experts for research purposes and to develop a tailor-made software tool for improving the segmentation and support services for innovating SME, based on the provided data?

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* 19.
Herewith I confirm that the regional development agency will participate in the development & testing of the tools and methodologies originating from the OaSIS project, and also support the dissemination of the project’s results. Furthermore, the development agency will contribute with advice and suggestions to improving the final results of the OaSIS project and provide the necessary data for the development of the performance-based methodology and Big Data analysis. Data protection is guaranteed to all applicants and participants the OaSIS project by the Data Protection Policy in place. I confirm that I have read the Data Protection Policy and that I am officially mandated by the regional development agency to submit this application.

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* 20. Please feel free to raise any comments, remarks and questions here:

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