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Mechanisms Of Learning And Innovation Performance: The Relevance Of Knowledge Sharing And Creativity For Non-Technological Innovation

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  • ALEXANDRE TRIGO

    (ICEDE Research Group and Department of Applied Economics, University of Santiago de Compostela. Av. Burgo das Nacións, s/n. 15782 Santiago de Compostela, Spain)

Abstract

This paper examines the role of several learning mechanisms for innovation performance, particularly their relevance for different types of innovation. Although the innovation drivers have been extensively discussed in the literature, more evidence is needed to verify that specific innovation outputs rely on specific knowledge sources. Based on the European Innobarometer Survey 2009, the empirical analysis reveals different profiles among innovating firms. Non-technological innovators, in particular firms highly intensive in organizational innovation, show a high propensity to perform knowledge sharing practices, to introduce knowledge management systems and to apply alternative mechanisms to promote creative ideas. The findings also prove a strong connection between product and process innovation, R&D activities and cooperation with scientific partners. The analysis concludes that firms with highest probabilities of engagement in learning mechanisms show the highest innovative performance. Moreover, the most innovative firms are characterized by the combination of different learning initiatives.

Suggested Citation

  • Alexandre Trigo, 2013. "Mechanisms Of Learning And Innovation Performance: The Relevance Of Knowledge Sharing And Creativity For Non-Technological Innovation," International Journal of Innovation and Technology Management (IJITM), World Scientific Publishing Co. Pte. Ltd., vol. 10(06), pages 1-27.
    • Handle: RePEc:wsi:ijitmx:v:10:y:2013:i:06:n:s0219877013400282
    DOI: 10.1142/S0219877013400282
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    References listed on IDEAS

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    1. Polder, Michael & Leeuwen, George van & Mohnen, Pierre & Raymond, Wladimir, 2010. "Product, process and organizational innovation: drivers, complementarity and productivity effects," MERIT Working Papers 2010-035, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    2. Alexandre Trigo, 2013. "The Nature of Innovation in R&D- and Non-R&D-Intensive Service Firms: Evidence from Firm-Level Latent Class Analysis," Industry and Innovation, Taylor & Francis Journals, vol. 20(1), pages 48-68, January.
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    Cited by:

    1. Alexandre Trigo, 2013. "The Nature of Innovation in R&D- and Non-R&D-Intensive Service Firms: Evidence from Firm-Level Latent Class Analysis," Industry and Innovation, Taylor & Francis Journals, vol. 20(1), pages 48-68, January.
    2. Cristina C. Amitrano & Mariarosaria Coppola & Marco Tregua & Francesco Bifulco, 2017. "Knowledge Sharing in Innovation Ecosystems: A Focus on Functional Food Industry," International Journal of Innovation and Technology Management (IJITM), World Scientific Publishing Co. Pte. Ltd., vol. 14(05), pages 1-18, October.
    3. Sarooghi, Hessamoddin & Libaers, Dirk & Burkemper, Andrew, 2015. "Examining the relationship between creativity and innovation: A meta-analysis of organizational, cultural, and environmental factors," Journal of Business Venturing, Elsevier, vol. 30(5), pages 714-731.
    4. Dr. Gilbert E. Jones, 2017. "Knowledge sharing and technological innovation: The effectiveness of trust, training, and good communication," Cogent Business & Management, Taylor & Francis Journals, vol. 4(1), pages 1387958-138, January.

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