IDEAS home Printed from https://ideas.repec.org/a/aic/revebs/y2019j24villarejoe.html
   My bibliography  Save this article

Segmentation Techniques For Innovation Support Services

Author

Listed:
  • ESTEBAN PELAYO VILLAREJO

    (European Association of Development Agencies (EURADA), Rue Montoyer, 24 Brussels, Belgium)

  • ANTONI PASTOR JUSTE

    (European Association of Development Agencies (EURADA), Rue Montoyer, 24 Brussels, Belgium)

  • JAKUB KRUSZELNICKI

    (Cracow University of Technology, Warszawska 24, 31-155 Kraków, Poland)

Abstract

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.

Suggested Citation

  • Esteban Pelayo Villarejo & Antoni Pastor Juste & Jakub Kruszelnicki, 2019. "Segmentation Techniques For Innovation Support Services," Review of Economic and Business Studies, Alexandru Ioan Cuza University, Faculty of Economics and Business Administration, issue 24, pages 207-237, December.
    • Handle: RePEc:aic:revebs:y:2019:j:24:villarejoe
    as

    Download full text from publisher

    File URL: http://rebs.feaa.uaic.ro/articles/pdfs/282.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Lee, Sungho & Jo, Jingyeong, 2018. "Government R&D Support for SMEs: Policy Effects and Improvement Measures," KDI Journal of Economic Policy, Korea Development Institute (KDI), vol. 40(4), pages 47-63.
    2. Lee, Sungho, 2018. "Government R&D Support for SMEs: Policy Effects and Improvement Measures," KDI Focus 89, Korea Development Institute (KDI).
    3. Iqbal, Muhammad & Alam Kazmi, Syed Hasnain & Manzoor, Dr. Amir & Rehman Soomrani, Dr. Abdul & Butt, Shujaat Hussain & Shaikh, Khurram Adeel, 2018. "A Study of Big Data for Business Growth in SMEs: Opportunities & Challenges," MPRA Paper 96034, University Library of Munich, Germany.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Cho, Heejung & Ahn, Hyeongjin & Park, Eunil, 2024. "Data-driven analysis on the performance evaluation of national R&D projects in Korea," Evaluation and Program Planning, Elsevier, vol. 102(C).
    2. Sumera Ahmad & Suraya Miskon & Rana Alabdan & Iskander Tlili, 2020. "Exploration of Influential Determinants for the Adoption of Business Intelligence System in the Textile and Apparel Industry," Sustainability, MDPI, vol. 12(18), pages 1-21, September.
    3. Sumera Ahmad & Suraya Miskon & Rana Alabdan & Iskander Tlili, 2020. "Towards Sustainable Textile and Apparel Industry: Exploring the Role of Business Intelligence Systems in the Era of Industry 4.0," Sustainability, MDPI, vol. 12(7), pages 1-23, March.

    More about this item

    Keywords

    SMEs; Innovation programmes; Marketing; Regional Development; Good practice;
    All these keywords.

    JEL classification:

    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
    • M31 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Marketing and Advertising - - - Marketing
    • O38 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Government Policy

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:aic:revebs:y:2019:j:24:villarejoe. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sireteanu Napoleon-Alexandru (email available below). General contact details of provider: https://edirc.repec.org/data/feaicro.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.