Segmentation Techniques for Innovation Support Services
| Autor: | Antoni Pastor Juste, Jakub Kruszelnicki, Esteban Pelayo Villarejo |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
Knowledge management
Process (engineering) Big data 0211 other engineering and technologies 0507 social and economic geography good practice 02 engineering and technology m310 innovation programmes o38 Regional development smes c81 Segmentation Good practice Business management HB71-74 Support services business.industry 05 social sciences 021107 urban & regional planning regional development Economics as a science marketing business 050703 geography |
| Zdroj: | Review of Economic and Business Studies, Vol 12, Iss 2, Pp 207-237 (2019) |
| ISSN: | 2068-7249 |
| Popis: | Segmentation of clients is a strategy widely used by companies and marketing units to sell their process. However, this concept is not so well established and widespread in public agencies supporting SME innovation. What are the benefits of designing advanced segmentation strategies for development agencies? Economic development practitioners agree that it’s necessary to provide customised innovation services to companies to get a greater impact. This paper presents how nine development agencies from seven European countries carry out their segmentation strategies to provide tailored initiatives of SMEs’ innovation support. The analysis also identifies common challenges RDA face, and how introducing Big Data Analysis can help them enhance innovation support in their regions. |
| Databáze: | OpenAIRE |
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