IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v12y2020i9p3815-d355112.html
   My bibliography  Save this article

The Model of Diffusion of Knowledge on Industry 4.0 in Marshallian Clusters

Author

Listed:
  • Irena Pawłyszyn

    (Institute of Logistics, Faculty of Management Engineering, Poznan University of Technology, 61-131 Poznan, Poland)

  • Marek Fertsch

    (Institute of Logistics, Faculty of Management Engineering, Poznan University of Technology, 61-131 Poznan, Poland)

  • Agnieszka Stachowiak

    (Institute of Logistics, Faculty of Management Engineering, Poznan University of Technology, 61-131 Poznan, Poland)

  • Grzegorz Pawłowski

    (Faculty of Finance and Banking, WSB University Poznan, 61-895 Poznan, Poland)

  • Joanna Oleśków-Szłapka

    (Institute of Logistics, Faculty of Management Engineering, Poznan University of Technology, 61-131 Poznan, Poland)

Abstract

Industry 4.0 is perceived as the innovative approach to manufacturing management, thanks to which enterprises gain efficiency and improve competitiveness. The research on Industry 4.0 carried and published refer to the scope of solutions recognized as Industry 4.0 and the level of recognition and implementation of solutions within Industry 4.0. The conclusion from the latter is that enterprises, though striving for innovation and improvement, have no knowledge on solutions available. Hence, the research goal of the paper was to identify the level of knowledge on Industry 4.0 among enterprises and analyze the mechanism of knowledge diffusion. The subjects of research were enterprises in Marshallian clusters, as they are linked, which may contribute to knowledge diffusion and Industry 4.0 solutions dissemination. Research methodology implemented included three stages, namely knowledge level recognition, Industry 4.0 knowledge diffusion model development, and validation of the model with case-based simulation. The conclusions, based on simulation results, refer to mechanism and the most important parameters of knowledge on Industry 4.0 diffusion.

Suggested Citation

  • Irena Pawłyszyn & Marek Fertsch & Agnieszka Stachowiak & Grzegorz Pawłowski & Joanna Oleśków-Szłapka, 2020. "The Model of Diffusion of Knowledge on Industry 4.0 in Marshallian Clusters," Sustainability, MDPI, vol. 12(9), pages 1-23, May.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:9:p:3815-:d:355112
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/12/9/3815/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/12/9/3815/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. József Tóth & Giuseppina Rizzo, 2020. "Search Strategies in Innovation Networks: The Case of the Hungarian Food Industry," Sustainability, MDPI, vol. 12(5), pages 1-18, February.
    2. Geoffrey M. Hodgson, 2003. "Capitalism, Complexity, and Inequality," Journal of Economic Issues, Taylor & Francis Journals, vol. 37(2), pages 471-478, June.
    3. Marisa Smith & Marco Busi & Peter Ball & Robert Van Der Meer, 2008. "Factors Influencing An Organisation'S Ability To Manage Innovation: A Structured Literature Review And Conceptual Model," International Journal of Innovation Management (ijim), World Scientific Publishing Co. Pte. Ltd., vol. 12(04), pages 655-676.
    4. Papazoglou, Michalis E. & Spanos, Yiannis E., 2018. "Bridging distant technological domains: A longitudinal study of the determinants of breadth of innovation diffusion," Research Policy, Elsevier, vol. 47(9), pages 1713-1728.
    5. Jukka Bergman & Ari Jantunen & Juha-Matti Saksa & Mari Lehtonen, 2005. "Creating future capabilities: scenario process in inter-industrial knowledge networks," International Journal of Management Concepts and Philosophy, Inderscience Enterprises Ltd, vol. 1(3), pages 198-214.
    6. Michael Porter, 2003. "The Economic Performance of Regions," Regional Studies, Taylor & Francis Journals, vol. 37(6-7), pages 549-578.
    7. Nelson, Richard R. & Winter, Sidney G., 1993. "In search of useful theory of innovation," Research Policy, Elsevier, vol. 22(2), pages 108-108, April.
    8. Frank M. Bass, 1969. "A New Product Growth for Model Consumer Durables," Management Science, INFORMS, vol. 15(5), pages 215-227, January.
    9. Joanna Chataway & David Wield, 2000. "Industrialization, innovation and development: what does knowledge management change?," Journal of International Development, John Wiley & Sons, Ltd., vol. 12(6), pages 803-824.
    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. Gopalakrishnan, S. & Damanpour, F., 1997. "A review of innovation research in economics, sociology and technology management," Omega, Elsevier, vol. 25(1), pages 15-28, February.
    2. Sivakumar, K. & Feng, Cong, 2019. "Patterns of product improvements and customer response," Journal of Business Research, Elsevier, vol. 104(C), pages 27-43.
    3. Kourtit, K. & Nijkamp, P. & Vught, F. van & Vulto, P., 2012. "Supernova stars in knowledge-based regions," Serie Research Memoranda 0007, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.
    4. Ashish Sood & Gareth M. James & Gerard J. Tellis & Ji Zhu, 2012. "Predicting the Path of Technological Innovation: SAW vs. Moore, Bass, Gompertz, and Kryder," Marketing Science, INFORMS, vol. 31(6), pages 964-979, November.
    5. Oscar Gutiérrez & Francisco Ruiz-Aliseda, 2011. "Real options with unknown-date events," Annals of Finance, Springer, vol. 7(2), pages 171-198, May.
    6. Shari, Babajide Epe & Dioha, Michael O. & Abraham-Dukuma, Magnus C. & Sobanke, Victor O. & Emodi, Nnaemeka V., 2022. "Clean cooking energy transition in Nigeria: Policy implications for Developing countries," Journal of Policy Modeling, Elsevier, vol. 44(2), pages 319-343.
    7. Imre Lengyel, 2011. "Types of competitiveness of Hungarian regions: agglomeration economies and endogenous regional development," ERSA conference papers ersa11p674, European Regional Science Association.
    8. Leonid Gokhberg & Irina Kouznetsova, 2009. "Innovation in the Russian Economy: Stagnation before Crisis?," Foresight and STI Governance (Foresight-Russia till No. 3/2015), National Research University Higher School of Economics, vol. 3(2), pages 28-46.
    9. Cambier, Adrien & Chardy, Matthieu & Figueiredo, Rosa & Ouorou, Adam & Poss, Michael, 2022. "Optimizing subscriber migrations for a telecommunication operator in uncertain context," European Journal of Operational Research, Elsevier, vol. 298(1), pages 308-321.
    10. Tiruwork B. Tibebu & Eric Hittinger & Qing Miao & Eric Williams, 2024. "Adoption Model Choice Affects the Optimal Subsidy for Residential Solar," Energies, MDPI, vol. 17(3), pages 1-19, February.
    11. Simon P. Anderson & André de Palma, 2012. "Competition for attention in the Information (overload) Age," RAND Journal of Economics, RAND Corporation, vol. 43(1), pages 1-25, March.
    12. Rui Baptista & Joana Mendonça, 2010. "Proximity to knowledge sources and the location of knowledge-based start-ups," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 45(1), pages 5-29, August.
    13. Van, Tien Linh Cao & Barthelmes, Lukas & Gnann, Till & Speth, Daniel & Kagerbauer, Martin, 2021. "Addressing the gaps in market diffusion modeling of electrical vehicles: A case study from Germany for the integration of environmental policy measures," Working Papers "Sustainability and Innovation" S05/2021, Fraunhofer Institute for Systems and Innovation Research (ISI).
    14. Ma, Peng, 2021. "Optimal generic and brand advertising efforts in a decentralized supply chain considering customer surplus," Journal of Retailing and Consumer Services, Elsevier, vol. 60(C).
    15. David Doloreux & David Rangdrol & Émilie Dionne, 2010. "Francophone Minority Economic Development in Canada: Addressing Political or Economic Issues?," Economic Development Quarterly, , vol. 24(2), pages 143-153, May.
    16. Sergio Currarini & Carmen Marchiori & Alessandro Tavoni, 2016. "Network Economics and the Environment: Insights and Perspectives," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 65(1), pages 159-189, September.
    17. Silverberg, Gerald & Verspagen, Bart, 2002. "A Percolation Model of Innovation in Complex Technology," Research Memorandum 032, Maastricht University, Maastricht Economic Research Institute on Innovation and Technology (MERIT).
    18. Ronald V Kalafsky & William Graves, 2023. "Global connections from the second-tier: The trade performance of smaller southern US cities," Local Economy, London South Bank University, vol. 38(5), pages 443-459, August.
    19. Klingler, Anna-Lena & Luthander, Rasmus, 2018. "Market diffusion of residential PV and battery systems driven by self-consumption: A comparison of Sweden and Germany," Working Papers "Sustainability and Innovation" S18/2018, Fraunhofer Institute for Systems and Innovation Research (ISI).
    20. Carolina Castaldi & Roberto Fontana & Alessandro Nuvolari, 2009. "‘Chariots of fire’: the evolution of tank technology, 1915–1945," Journal of Evolutionary Economics, Springer, vol. 19(4), pages 545-566, August.

    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:gam:jsusta:v:12:y:2020:i:9:p:3815-:d:355112. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.