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Technology diffusion of Industry 4.0: an agent-based approach

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  • Martin Prause
  • Christina Günther

Abstract

Governmental interventions, such as public policies and programs, play a vital role in innovation diffusion, particularly if the application area is heterogeneous, like the German federal high-tech approach of Industry 4.0. Interventions can thus inhibit market failure and negative externalities or disseminate the technology and promote positive externalities. To analyse the impact of governmental intervention, considering the particularities of the Industry 4.0 approach, an agent-based model (ABM) is proposed, particularly to test the sensitivity of Industry 4.0 innovation diffusion speed and degree due to interventions such as promotion, educational support, technology networks (hubs), technology standardisation, and financial aid among manufacturing small and medium size enterprises (SMEs) in Germany. This paper describes a conceptual model structured along the overview, design concept, and details framework. Grounding and calibration of input parameters and agent behaviour are based on firm characteristics and adoption determinants (technology-organisation-environment model) from survey data and Industry 4.0 case studies.

Suggested Citation

  • Martin Prause & Christina Günther, 2019. "Technology diffusion of Industry 4.0: an agent-based approach," International Journal of Computational Economics and Econometrics, Inderscience Enterprises Ltd, vol. 9(1/2), pages 29-48.
    • Handle: RePEc:ids:ijcome:v:9:y:2019:i:1/2:p:29-48
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    Citations

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    Cited by:

    1. Heng, Stefan, 2021. "Digitale Transformation: Technische Innovation braucht mehr als gute Technik! [Digital transformation: Technical innovation needs more than good technology!]," MPRA Paper 113768, University Library of Munich, Germany, revised 13 Aug 2021.
    2. Klügl, Franziska & Kyvik Nordås, Hildegunn, 2021. "AI-enabled Automation, Trade, and the Future of Engineering Services," Working Papers 2021:16, Örebro University, School of Business.
    3. Rizzati, Massimiliano & Landoni, Matteo, 2024. "A systematic review of agent-based modelling in the circular economy: Insights towards a general model," Structural Change and Economic Dynamics, Elsevier, vol. 69(C), pages 617-631.
    4. Heng, Stefan, 2019. "Industry 4.0 creating a buzz in western hemisphere: But watch out for China pulling into the fast lane," MPRA Paper 100868, University Library of Munich, Germany, revised 15 Mar 2020.
    5. Heng, Stefan, 2019. "Industrie 4.0: Keinesfalls allein ein Betätigungsfeld für Informatiker [Industry 4.0: Not alone an issue for computer scientists]," MPRA Paper 96637, University Library of Munich, Germany, revised 20 Apr 2019.

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