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Role of Knowledge in Management of Innovation

Author

Listed:
  • Yury Nurulin

    (Institute of Computer Science and Technology, Peter the Great Saint-Petersburg Polytechnic University; Politekhnicheskaya Ulitsa, 29, Sankt-Peterburg 195251, Russia)

  • Inga Skvortsova

    (Institute of Industrial Management, Economics and Trade, Peter the Great Saint-Petersburg Polytechnic University; Politekhnicheskaya Ulitsa, 29, Sankt-Peterburg 195251, Russia)

  • Iosif Tukkel

    (Institute of Computer Science and Technology, Peter the Great Saint-Petersburg Polytechnic University; Politekhnicheskaya Ulitsa, 29, Sankt-Peterburg 195251, Russia)

  • Marko Torkkeli

    (School of Engineering Science, Lappeenranta University of Technology, Yliopistonkatu 34, 53850 Lappeenranta, Finland)

Abstract

Knowledge has always been, and still is, a crucial source of economy. However, during the past few years we have seen a growing interest in treating knowledge as a significant organizational resource for innovation. This trend coincides with the rapid development of ICT, indicating the strong influence that ICTs have on the processes of creating, disseminating, and using knowledge. At present, issues of innovation management and knowledge management are studied independently, which creates a certain gap in the systemic understanding of the innovation development processes. The paper proposes an integrated approach to the issues mentioned. The hierarchy and taxonomy of knowledge are considered from the point of view of their influence on decision-making at different stages of the innovation lifecycle. Our proposition complements and contributes to several recent models of decision-making developed in the frame of the innovation process.

Suggested Citation

  • Yury Nurulin & Inga Skvortsova & Iosif Tukkel & Marko Torkkeli, 2019. "Role of Knowledge in Management of Innovation," Resources, MDPI, vol. 8(2), pages 1-12, May.
    • Handle: RePEc:gam:jresou:v:8:y:2019:i:2:p:87-:d:228410
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    References listed on IDEAS

    as
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    2. Cooke, Philip & Gomez Uranga, Mikel & Etxebarria, Goio, 1997. "Regional innovation systems: Institutional and organisational dimensions," Research Policy, Elsevier, vol. 26(4-5), pages 475-491, December.
    3. Aven, Terje, 2013. "A conceptual framework for linking risk and the elements of the data–information–knowledge–wisdom (DIKW) hierarchy," Reliability Engineering and System Safety, Elsevier, vol. 111(C), pages 30-36.
    4. Chaim Zins, 2007. "Conceptual approaches for defining data, information, and knowledge," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 58(4), pages 479-493, February.
    5. Peter M. Allen, 2001. "A Complex Systems Approach To Learning In Adaptive Networks," International Journal of Innovation Management (ijim), World Scientific Publishing Co. Pte. Ltd., vol. 5(02), pages 149-180.
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