IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v13y2021i24p13601-d698418.html
   My bibliography  Save this article

Twin Transition through the Implementation of Industry 4.0 Technologies: Desk-Research Analysis and Practical Use Cases in Europe

Author

Listed:
  • Juan-José Ortega-Gras

    (Technological Centre of Furniture and Wood of the Region of Murcia (CETEM), 30510 Yecla, Spain
    Department of Information and Communication Technologies, Universidad Politécnica de Cartagena, Antiguo Cuartel de Antigones, 30202 Cartagena, Spain)

  • María-Victoria Bueno-Delgado

    (Department of Information and Communication Technologies, Universidad Politécnica de Cartagena, Antiguo Cuartel de Antigones, 30202 Cartagena, Spain)

  • Gregorio Cañavate-Cruzado

    (Technological Centre of Furniture and Wood of the Region of Murcia (CETEM), 30510 Yecla, Spain
    Department of Information and Communication Technologies, Universidad Politécnica de Cartagena, Antiguo Cuartel de Antigones, 30202 Cartagena, Spain)

  • Josefina Garrido-Lova

    (Technological Centre of Furniture and Wood of the Region of Murcia (CETEM), 30510 Yecla, Spain)

Abstract

Key Enabling Technologies (KET) support the adoption of Industry 4.0 (I4.0) and are also considered the main drivers of the Circular Economy (CE) transition. In this respect, the guidelines and real use cases to inspire enterprises and industry to lead the twin digital and green transition are still poor. This work is aimed at contributing to this matter, with twofold goals: on the one hand, to show a depth desk-research analysis of the key existing policies at European level that foster this twin digital and green transition; on the other hand, to review practical use cases and international projects where CE practices are boosted through the implementation of KET. From the analysis, a set of recommendations are suggested as a guide for policymakers, researchers, and industry managers on how to foster the CE through the implementation of I4.0 technologies.

Suggested Citation

  • Juan-José Ortega-Gras & María-Victoria Bueno-Delgado & Gregorio Cañavate-Cruzado & Josefina Garrido-Lova, 2021. "Twin Transition through the Implementation of Industry 4.0 Technologies: Desk-Research Analysis and Practical Use Cases in Europe," Sustainability, MDPI, vol. 13(24), pages 1-18, December.
  • Handle: RePEc:gam:jsusta:v:13:y:2021:i:24:p:13601-:d:698418
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/13/24/13601/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/13/24/13601/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Arianna Martinelli & Andrea Mina & Massimo Moggi, 2021. "The enabling technologies of industry 4.0: examining the seeds of the fourth industrial revolution [Mapping innovation dynamics in the Internet of Things domain: evidence from patent analysis]," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 30(1), pages 161-188.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Ahmad, Najid & Youjin, Liu & Žiković, Saša & Belyaeva, Zhanna, 2023. "The effects of technological innovation on sustainable development and environmental degradation: Evidence from China," Technology in Society, Elsevier, vol. 72(C).
    2. Aleksandra Kekkonen & Renee Pesor & Marge Täks, 2023. "Stepping towards the Green Transition: Challenges and Opportunities of Estonian Companies," Sustainability, MDPI, vol. 15(5), pages 1-27, February.

    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. Cirillo, Valeria & Fanti, Lucrezia & Mina, Andrea & Ricci, Andrea, 2023. "The adoption of digital technologies: Investment, skills, work organisation," Structural Change and Economic Dynamics, Elsevier, vol. 66(C), pages 89-105.
    2. Davide Antonioli & Alberto Marzucchi & Francesco Rentocchini & Simone Vannuccini, 2022. "Robot Adoption and Innovation Activities (last revised: December 2023)," Munich Papers in Political Economy 21, Munich School of Politics and Public Policy and the School of Management at the Technical University of Munich.
    3. Mario Benassi & Elena Grinza & Francesco Rentocchini & Laura Rondi, 2022. "Patenting in 4IR technologies and firm performance [Robots and jobs: evidence from US labor markets]," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 31(1), pages 112-136.
    4. Mauro Caselli & Edwin Fourrier-Nicolai & Andrea Fracasso & Sergio Scicchitano, 2024. "Digital Technologies and Firms’ Employment and Training," CESifo Working Paper Series 11056, CESifo.
    5. Guendalina Anzolin, 2021. "Automation and its Employment Effects: A Literature Review of Automotive and Garment Sectors," JRC Working Papers on Labour, Education and Technology 2021-16, Joint Research Centre.
    6. Igna, Ioana & Venturini, Francesco, 2023. "The determinants of AI innovation across European firms," Research Policy, Elsevier, vol. 52(2).
    7. Stefano Bianchini & Giacomo Damioli & Claudia Ghisetti, 2023. "The environmental effects of the “twin” green and digital transition in European regions," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 84(4), pages 877-918, April.
    8. Damioli, G. & Van Roy, V. & Vertesy, D. & Vivarelli, M., 2021. "May AI revolution be labour-friendly? Some micro evidence from the supply side," GLO Discussion Paper Series 823, Global Labor Organization (GLO).
    9. Lucrezia Fanti & Dario Guarascio & Massimo Moggi, 2020. "The development of AI and its impact on business models, organization and work," LEM Papers Series 2020/25, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    10. Valeria Cirillo & Lucrezia Fanti & Andrea Mina & Andrea Ricci, 2021. "Digitalizing Firms: Skills, Work Organization and the Adoption of New Enabling Technologies," LEM Papers Series 2021/04, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    11. Silvia Massini & Mabel Sanchez Barrioluengo & Xiaoxiao Yu & Reza Salehnejad, 2024. "Digital transformation in firms: determinants of technology adoption and implications for performance," MIOIR Working Paper Series 2024-01, The Manchester Institute of Innovation Research (MIoIR), The University of Manchester.
    12. Jasmine Mondolo, 2022. "The composite link between technological change and employment: A survey of the literature," Journal of Economic Surveys, Wiley Blackwell, vol. 36(4), pages 1027-1068, September.
    13. Margherita Russo & Annalisa Caloffi & Ana Colovic & Pasquale Pavone & Saverio Romeo & Federica Rossi, 2022. "Mapping regional strengths in a key enabling technology: The distribution of Internet of Things competences across European regions," Papers in Regional Science, Wiley Blackwell, vol. 101(4), pages 875-900, August.
    14. Sandro Montresor & Gianluca Orsatti & Francesco Quatraro, 2023. "Technological novelty and key enabling technologies: evidence from European regions," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 32(6), pages 851-872, August.
    15. Antonio Ughi & Andrea Mina, 2023. "Digital Advantage: Evidence from a Policy Evaluation of Adoption Subsidies," LEM Papers Series 2023/41, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    16. Mario Benassi & Elena Grinza & Francesco Rentocchini & Laura Rondi, 2020. "Going Revolutionary: The Impact of 4IR Technology Development on Firm Performance," SEEDS Working Papers 0720, SEEDS, Sustainability Environmental Economics and Dynamics Studies, revised Jul 2020.
    17. Pedota, Mattia & Grilli, Luca & Piscitello, Lucia, 2023. "Technology adoption and upskilling in the wake of Industry 4.0," Technological Forecasting and Social Change, Elsevier, vol. 187(C).
    18. Damioli, Giacomo & Van Roy, Vincent & Vertesy, Daniel & Vivarelli, Marco, 2021. "Will the AI revolution be labour-friendly? Some micro evidence from the supply side," MERIT Working Papers 2021-016, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    19. Li, Yaya & Zhang, Yuru & Pan, An & Han, Minchun & Veglianti, Eleonora, 2022. "Carbon emission reduction effects of industrial robot applications: Heterogeneity characteristics and influencing mechanisms," Technology in Society, Elsevier, vol. 70(C).
    20. van Meeteren, Michiel & Trincado-Munoz, Francisco & Rubin, Tzameret H. & Vorley, Tim, 2022. "Rethinking the digital transformation in knowledge-intensive services: A technology space analysis," Technological Forecasting and Social Change, Elsevier, vol. 179(C).

    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:13:y:2021:i:24:p:13601-:d:698418. 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.