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An alignment approach for an industry in the making: DIGINOVA and the case of digital fabrication


  • Michael Potstada
  • Alireza Parandian
  • Douglas K. R. Robinson

    (LISIS - Laboratoire Interdisciplinaire Sciences, Innovations, Sociétés - INRA - Institut National de la Recherche Agronomique - UPEM - Université Paris-Est Marne-la-Vallée - ESIEE Paris - CNRS - Centre National de la Recherche Scientifique)

  • Jan Zybura


Digital fabrication is an example of an industry in the making, as its value chains are not aligned, technical standards are in development, and markets are unclear. Alignment is necessary before business models can be employed and value creation can ensue, which is why DIGINOVA (a European consortium of parties interested in digital fabrication) took up the challenge of creating the strategic intelligence needed to power such alignment. This paper reports on this process. First, it outlines the need for alignment intelligence with reference to the underpinning dynamics of alignment in emerging industries; it then describes the technological scope of digital fabrication and the approach taken by DIGINOVA to produce such alignment intelligence and the outcome of this process in detail. It concludes with reflections on how this approach can be generalized beyond digital fabrication.

Suggested Citation

  • Michael Potstada & Alireza Parandian & Douglas K. R. Robinson & Jan Zybura, 2016. "An alignment approach for an industry in the making: DIGINOVA and the case of digital fabrication," Post-Print hal-01276908, HAL.
  • Handle: RePEc:hal:journl:hal-01276908
    DOI: 10.1016/j.techfore.2015.07.020

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    Cited by:

    1. Roth, Steffen & Dahms, Harry F. & Welz, Frank & Cattacin, Sandro, 2019. "Print theories of computer societies. Introduction to the digital transformation of social theory," Technological Forecasting and Social Change, Elsevier, vol. 149(C).
    2. Caputo, Andrea & Pizzi, Simone & Pellegrini, Massimiliano M. & Dabić, Marina, 2021. "Digitalization and business models: Where are we going? A science map of the field," Journal of Business Research, Elsevier, vol. 123(C), pages 489-501.
    3. Marco Savastano & Carlo Amendola & Francesco Bellini & Fabrizio D’Ascenzo, 2019. "Contextual Impacts on Industrial Processes Brought by the Digital Transformation of Manufacturing: A Systematic Review," Sustainability, MDPI, vol. 11(3), pages 1-38, February.
    4. Robinson, Douglas K.R. & Lagnau, Axel & Boon, Wouter P.C., 2019. "Innovation pathways in additive manufacturing: Methods for tracing emerging and branching paths from rapid prototyping to alternative applications," Technological Forecasting and Social Change, Elsevier, vol. 146(C), pages 733-750.
    5. Wang, I. Kim & Seidle, Russell, 2020. "Ambition in innovation: Vicarious learning in the nascent electric scooter market in Taiwan," Technological Forecasting and Social Change, Elsevier, vol. 152(C).
    6. Mariani, Marcello & Borghi, Matteo, 2019. "Industry 4.0: A bibliometric review of its managerial intellectual structure and potential evolution in the service industries," Technological Forecasting and Social Change, Elsevier, vol. 149(C).
    7. Halbinger, Maria A., 2018. "The role of makerspaces in supporting consumer innovation and diffusion: An empirical analysis," Research Policy, Elsevier, vol. 47(10), pages 2028-2036.
    8. Sam Solaimani & Alireza Parandian & Nabi Nabiollahi, 2021. "A Holistic View on Sustainability in Additive and Subtractive Manufacturing: A Comparative Empirical Study of Eyewear Production Systems," Sustainability, MDPI, vol. 13(19), pages 1-17, September.
    9. Wenzel, Matthias & Will, Matthias Georg, 2019. "The communicative constitution of academic fields in the digital age: The case of CSR," Technological Forecasting and Social Change, Elsevier, vol. 146(C), pages 517-533.
    10. Müller, Julian Marius & Buliga, Oana & Voigt, Kai-Ingo, 2018. "Fortune favors the prepared: How SMEs approach business model innovations in Industry 4.0," Technological Forecasting and Social Change, Elsevier, vol. 132(C), pages 2-17.
    11. von Delft, Stephan & Zhao, Yang, 2021. "Business models in process industries: Emerging trends and future research," Technovation, Elsevier, vol. 105(C).


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