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Accelerating Innovation in Small and Medium-Sized Enterprises in the ICT Services Sector

Author

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  • Juan Vicente García Manjón
  • Rafael Mompó
  • Judith Redoli

Abstract

This work is aimed at establishing key organizational strategies that push small and medium-sized enterprises (SMEs) in the information and communication technologies (ICT) services sector to be more innovative. Following an input and output approach, a theoretical model is built that helps determine such key factors. Then the model is validated with fieldwork carried out on a representative sample in Castile-Leon region (Spain). According to this model, the decision to innovate (and the trigger for research and development [R&D] activities in SMEs in the ICT services sector) is the result of needs that are presented by customers (public or private sector) in tailored projects. All the same, the factors leading to innovation are in order of importance, the technological level of the company, the effort made by the company in R&D, and finally, systems of incentives.

Suggested Citation

  • Juan Vicente García Manjón & Rafael Mompó & Judith Redoli, 2016. "Accelerating Innovation in Small and Medium-Sized Enterprises in the ICT Services Sector," SAGE Open, , vol. 6(3), pages 21582440166, September.
    • Handle: RePEc:sae:sagope:v:6:y:2016:i:3:p:2158244016670198
    DOI: 10.1177/2158244016670198
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    References listed on IDEAS

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    Cited by:

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    2. Almira Kulmaganbetova & Igor Dubina & Zhibek Rakhmetulina & Elvira Tlessova & Zhanat Tulegenova, 2020. "Innovative potential of small and medium business," Entrepreneurship and Sustainability Issues, VsI Entrepreneurship and Sustainability Center, vol. 8(2), pages 1286-1304, December.
    3. Derya Çelik & Ülkü Uzunçarşılı, 2023. "Is the Effect of Organizational Ambidexterity and Technological Innovation Capability on Firm Performance Mediated by Competitive Advantage? An Empirical Research on Turkish Manufacturing and Service ," SAGE Open, , vol. 13(4), pages 21582440231, November.
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    5. Xiaoli Wang & Yun Liu & Lingdi Chen & Yifan Zhang, 2022. "Correlation Monitoring Method and model of Science-Technology-Industry in the AI Field: A Case of the Neural Network," SAGE Open, , vol. 12(4), pages 21582440221, December.

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