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Possible changes of Industry 4.0 in 2030 in the face of uberization: Results of a participatory and systemic foresight study

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Listed:
  • Bootz, Jean-Philippe
  • Michel, Sophie
  • Pallud, Jessie
  • Monti, Régine
Abstract
The transformations generated by Industry 4.0 (I4.0) are interwoven with digitalization. I4.0 involves the digital turn of manufacturing companies, changing the way they operate, their business models, and by extension, their interaction with digital players. Nonetheless, the future of I4.0 regarding its interaction with digital players and the phenomenon of uberization has scarcely been examined. Thus, this research adopts a participatory and systemic foresight approach to explore the trajectories of I4.0 in the face of uberization. The study was conducted with a working group of 22 members from academia and practice. Four scenarios and related action plans were produced. The results emphasize that uberization is not necessarily a process to be endured by manufacturers, but it could be chosen or even co-constructed with different actors if manufacturers address key challenges such as rethinking their business models and adapting their factors of production. The scenarios indicate the dynamics of uberization as contingent on technological developments and on industrial policy choices, changes in consumer behavior, and access to multiple funding sources. Finally, the study provides practical implications regarding the dynamics of collaboration between SMEs and large groups, on one hand, and between manufacturing companies and digital players, on the other hand.

Suggested Citation

  • Bootz, Jean-Philippe & Michel, Sophie & Pallud, Jessie & Monti, Régine, 2022. "Possible changes of Industry 4.0 in 2030 in the face of uberization: Results of a participatory and systemic foresight study," Technological Forecasting and Social Change, Elsevier, vol. 184(C).
    • Handle: RePEc:eee:tefoso:v:184:y:2022:i:c:s0040162522004838
    DOI: 10.1016/j.techfore.2022.121962
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    1. Dachs, Bernhard & Kinkel, Steffen & Jäger, Angela, 2019. "Bringing it all back home? Backshoring of manufacturing activities and the adoption of Industry 4.0 technologies," Journal of World Business, Elsevier, vol. 54(6), pages 1-1.
    2. Paul P Momtaz, 2020. "Initial Coin Offerings," PLOS ONE, Public Library of Science, vol. 15(5), pages 1-30, May.
    3. Kopyto, Matthias & Lechler, Sabrina & von der Gracht, Heiko A. & Hartmann, Evi, 2020. "Potentials of blockchain technology in supply chain management: Long-term judgments of an international expert panel," Technological Forecasting and Social Change, Elsevier, vol. 161(C).
    4. Yongxin Liao & Fernando Deschamps & Eduardo de Freitas Rocha Loures & Luiz Felipe Pierin Ramos, 2017. "Past, present and future of Industry 4.0 - a systematic literature review and research agenda proposal," International Journal of Production Research, Taylor & Francis Journals, vol. 55(12), pages 3609-3629, June.
    5. Daim, Tugrul & Lai, Kuei Kuei & Yalcin, Haydar & Alsoubie, Fayez & Kumar, Vimal, 2020. "Forecasting technological positioning through technology knowledge redundancy: Patent citation analysis of IoT, cybersecurity, and Blockchain," Technological Forecasting and Social Change, Elsevier, vol. 161(C).
    6. Wachs, Johannes & Vedres, Balázs, 2021. "Does crowdfunding really foster innovation? Evidence from the board game industry," Technological Forecasting and Social Change, Elsevier, vol. 168(C).
    7. Senyo, P.K. & Effah, John & Osabutey, Ellis L.C., 2021. "Digital platformisation as public sector transformation strategy: A case of Ghana's paperless port," Technological Forecasting and Social Change, Elsevier, vol. 162(C).
    8. Vishnevskiy, Konstantin & Karasev, Oleg & Meissner, Dirk & Razheva, Anastasia & Klubova, Marina, 2017. "Technology foresight in asset intensive industries: The case of Russian shipbuilding," Technological Forecasting and Social Change, Elsevier, vol. 119(C), pages 194-204.
    9. Saritas, Ozcan & Nugroho, Yanuar, 2012. "Mapping issues and envisaging futures: An evolutionary scenario approach," Technological Forecasting and Social Change, Elsevier, vol. 79(3), pages 509-529.
    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. Valentina Carbone & Aurélien Rouquet & Christine Roussat, 2017. "The Rise of Crowd Logistics: A New Way to Co‐Create Logistics Value," Post-Print hal-03118967, HAL.
    12. Jean-Charles Rochet & Jean Tirole, 2003. "Platform Competition in Two-Sided Markets," Journal of the European Economic Association, MIT Press, vol. 1(4), pages 990-1029, June.
    13. Kosow, Hannah & Gaßner, Robert, 2008. "Methods of future and scenario analysis: overview, assessment, and selection criteria," IDOS Studies, German Institute of Development and Sustainability (IDOS), volume 39, number 39, July.
    14. Gattringer, Regina & Wiener, Melanie & Strehl, Franz, 2017. "The challenge of partner selection in collaborative foresight projects," Technological Forecasting and Social Change, Elsevier, vol. 120(C), pages 298-310.
    15. Cagnin, Cristiano & Havas, Attila & Saritas, Ozcan, 2013. "Future-oriented technology analysis: Its potential to address disruptive transformations," Technological Forecasting and Social Change, Elsevier, vol. 80(3), pages 379-385.
    16. Jiang, Ruth & Kleer, Robin & Piller, Frank T., 2017. "Predicting the future of additive manufacturing: A Delphi study on economic and societal implications of 3D printing for 2030," Technological Forecasting and Social Change, Elsevier, vol. 117(C), pages 84-97.
    17. Panula-Ontto, J. & Piirainen, K.A., 2018. "EXIT: An alternative approach for structural cross-impact modeling and analysis," Technological Forecasting and Social Change, Elsevier, vol. 137(C), pages 89-100.
    18. Catherine Viot, 2018. "Ubérisation des services : les clients sont-ils toujours gagnants ?," Post-Print hal-01803877, HAL.
    19. Macedo, Dione & Mori Junior, Renzo & Pimentel Mizusaki, Ana Maria, 2017. "Sustainability strategies for dimension stones industry based on Northwest region of Espírito Santo State, Brazil," Resources Policy, Elsevier, vol. 52(C), pages 207-216.
    20. Lisa Schmidthuber & Melanie Wiener, 2018. "Aiming for a sustainable future: conceptualizing public open foresight," Public Management Review, Taylor & Francis Journals, vol. 20(1), pages 82-107, January.
    21. Andersen, Allan Dahl & Andersen, Per Dannemand, 2014. "Innovation system foresight," Technological Forecasting and Social Change, Elsevier, vol. 88(C), pages 276-286.
    22. de Reuver, Mark & Sørensen, Carsten & Basole, Rahul C., 2018. "The digital platform: a research agenda," LSE Research Online Documents on Economics 80669, London School of Economics and Political Science, LSE Library.
    23. Martínez-Caro, Eva & Cegarra-Navarro, Juan Gabriel & Alfonso-Ruiz, Francisco Javier, 2020. "Digital technologies and firm performance: The role of digital organisational culture," Technological Forecasting and Social Change, Elsevier, vol. 154(C).
    24. Calış Duman, Meral & Akdemir, Bunyamin, 2021. "A study to determine the effects of industry 4.0 technology components on organizational performance," Technological Forecasting and Social Change, Elsevier, vol. 167(C).
    25. Mubarak, Muhammad Faraz & Petraite, Monika, 2020. "Industry 4.0 technologies, digital trust and technological orientation: What matters in open innovation?," Technological Forecasting and Social Change, Elsevier, vol. 161(C).
    26. Culot, Giovanna & Orzes, Guido & Sartor, Marco & Nassimbeni, Guido, 2020. "The future of manufacturing: A Delphi-based scenario analysis on Industry 4.0," Technological Forecasting and Social Change, Elsevier, vol. 157(C).
    27. Weigand, Kirk & Flanagan, Thomas & Dye, Kevin & Jones, Peter, 2014. "Collaborative foresight: Complementing long-horizon strategic planning," Technological Forecasting and Social Change, Elsevier, vol. 85(C), pages 134-152.
    28. Pereverza, Kateryna & Pasichnyi, Oleksii & Lazarevic, David & Kordas, Olga, 2017. "Strategic planning for sustainable heating in cities: A morphological method for scenario development and selection," Applied Energy, Elsevier, vol. 186(P2), pages 115-125.
    29. repec:ulb:ulbeco:2013/249805 is not listed on IDEAS
    30. de Sousa Jabbour, Ana Beatriz Lopes & Jabbour, Charbel Jose Chiappetta & Foropon, Cyril & Godinho Filho, Moacir, 2018. "When titans meet – Can industry 4.0 revolutionise the environmentally-sustainable manufacturing wave? The role of critical success factors," Technological Forecasting and Social Change, Elsevier, vol. 132(C), pages 18-25.
    31. Gawer, Annabelle, 2014. "Bridging differing perspectives on technological platforms: Toward an integrative framework," Research Policy, Elsevier, vol. 43(7), pages 1239-1249.
    32. Jin, Byoungho Ellie & Shin, Daeun Chloe, 2020. "Changing the game to compete: Innovations in the fashion retail industry from the disruptive business model," Business Horizons, Elsevier, vol. 63(3), pages 301-311.
    33. Metallo, Concetta & Agrifoglio, Rocco & Schiavone, Francesco & Mueller, Jens, 2018. "Understanding business model in the Internet of Things industry," Technological Forecasting and Social Change, Elsevier, vol. 136(C), pages 298-306.
    34. Büchi, Giacomo & Cugno, Monica & Castagnoli, Rebecca, 2020. "Smart factory performance and Industry 4.0," Technological Forecasting and Social Change, Elsevier, vol. 150(C).
    35. Şimşek, Tolga & Öner, M Atilla & Kunday, Özlem & Olcay, Gökçen Arkalı, 2022. "A journey towards a digital platform business model: A case study in a global tech-company," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
    36. Sommarberg, Matti & Mäkinen, Saku J., 2019. "A method for anticipating the disruptive nature of digitalization in the machine-building industry," Technological Forecasting and Social Change, Elsevier, vol. 146(C), pages 808-819.
    37. Shakina, Elena & Parshakov, Petr & Alsufiev, Artem, 2021. "Rethinking the corporate digital divide: The complementarity of technologies and the demand for digital skills," Technological Forecasting and Social Change, Elsevier, vol. 162(C).
    38. Klein, Amarolinda & Sørensen, Carsten & Freitas, Angilberto Sabino de & Pedron, Cristiane Drebes & Elaluf-Calderwood, Silvia, 2020. "Understanding controversies in digital platform innovation processes: The Google Glass case," Technological Forecasting and Social Change, Elsevier, vol. 152(C).
    39. Enzo Bivona & Federico Cosenz, 2021. "Designing a Multi‐Sided Platform business model assessment framework: a Dynamic Performance Management perspective," Systems Research and Behavioral Science, Wiley Blackwell, vol. 38(1), pages 93-107, January.
    40. Heger, Tobias & Rohrbeck, René, 2012. "Strategic foresight for collaborative exploration of new business fields," Technological Forecasting and Social Change, Elsevier, vol. 79(5), pages 819-831.
    41. Shao, Xue-Feng & Liu, Wei & Li, Yi & Chaudhry, Hassan Rauf & Yue, Xiao-Guang, 2021. "Multistage implementation framework for smart supply chain management under industry 4.0," Technological Forecasting and Social Change, Elsevier, vol. 162(C).
    42. Chen, Hongyi & Wakeland, Wayne & Yu, Jiang, 2012. "A two-stage technology foresight model with system dynamics simulation and its application in the Chinese ICT industry," Technological Forecasting and Social Change, Elsevier, vol. 79(7), pages 1254-1267.
    43. Nabyla Daidj, 2017. "Uberization (or uberification) of the economy," Post-Print hal-02374117, HAL.
    44. Bootz, Jean-Philippe & Monti, Régine & Durance, Philippe & Pacini, Vincent & Chapuy, Pierre, 2019. "The links between French school of foresight and organizational learning: An assessment of developments in the last ten years," Technological Forecasting and Social Change, Elsevier, vol. 140(C), pages 92-104.
    45. Jean-Philippe Bootz & Régine Monti & Philippe Durance & Vincent Pacini & Pierre Chapuy, 2019. "The links between French school of foresight and organizational learning: An assessment of developments in the last ten years," Post-Print hal-02772738, HAL.
    46. Alizadeh, Reza & Lund, Peter D. & Beynaghi, Ali & Abolghasemi, Mahdi & Maknoon, Reza, 2016. "An integrated scenario-based robust planning approach for foresight and strategic management with application to energy industry," Technological Forecasting and Social Change, Elsevier, vol. 104(C), pages 162-171.
    47. Lee, Changhun & Lim, Chiehyeon, 2021. "From technological development to social advance: A review of Industry 4.0 through machine learning," Technological Forecasting and Social Change, Elsevier, vol. 167(C).
    48. Wiener, Melanie & Gattringer, Regina & Strehl, Franz, 2020. "Collaborative open foresight - A new approach for inspiring discontinuous and sustainability-oriented innovations," Technological Forecasting and Social Change, Elsevier, vol. 155(C).
    49. Pólvora, Alexandre & Nascimento, Susana & Lourenço, Joana S. & Scapolo, Fabiana, 2020. "Blockchain for industrial transformations: A forward-looking approach with multi-stakeholder engagement for policy advice," Technological Forecasting and Social Change, Elsevier, vol. 157(C).
    50. Ling Cen & Sudipto Dasgupta & Rik Sen, 2016. "Discipline or Disruption? Stakeholder Relationships and the Effect of Takeover Threat," Management Science, INFORMS, vol. 62(10), pages 2820-2841, October.
    51. Fritschy, Carolin & Spinler, Stefan, 2019. "The impact of autonomous trucks on business models in the automotive and logistics industry–a Delphi-based scenario study," Technological Forecasting and Social Change, Elsevier, vol. 148(C).
    52. Frank, Alejandro G. & Mendes, Glauco H.S. & Ayala, Néstor F. & Ghezzi, Antonio, 2019. "Servitization and Industry 4.0 convergence in the digital transformation of product firms: A business model innovation perspective," Technological Forecasting and Social Change, Elsevier, vol. 141(C), pages 341-351.
    53. Pietrobelli, Carlo & Puppato, Fernanda, 2016. "Technology foresight and industrial strategy," Technological Forecasting and Social Change, Elsevier, vol. 110(C), pages 117-125.
    54. Shah, Arsalan Nisar & Palacios, Miguel & Ruiz, Felipe, 2013. "Strategic rigidity and foresight for technology adoption among electric utilities," Energy Policy, Elsevier, vol. 63(C), pages 1233-1239.
    55. Bigerna, Simona & Micheli, Silvia & Polinori, Paolo, 2021. "New generation acceptability towards durability and repairability of products: Circular economy in the era of the 4th industrial revolution," Technological Forecasting and Social Change, Elsevier, vol. 165(C).
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