IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v13y2021i9p4867-d543939.html
   My bibliography  Save this article

Diagnosis of the Maturity Level of Implementing Industry 4.0 Solutions in Selected Functional Areas of Management of Automotive Companies in Poland

Author

Listed:
  • Ewa Stawiarska

    (Organization and Management Department, Silesian University of Technology, 41-800 Zabrze, Poland)

  • Danuta Szwajca

    (Organization and Management Department, Silesian University of Technology, 41-800 Zabrze, Poland)

  • Mirosław Matusek

    (Organization and Management Department, Silesian University of Technology, 41-800 Zabrze, Poland)

  • Radosław Wolniak

    (Organization and Management Department, Silesian University of Technology, 41-800 Zabrze, Poland)

Abstract

The automotive sector is one of the key branches of the global economy. The automotive industry is also a very important sector of the Polish economy, as it generates over 8% of GDP and accounts for over 20% of the annual export value. Industry 4.0 and the effective use of modern technologies give a chance for its further dynamic development. The implementation of Industry 4.0 solutions in the business processes of automotive companies should not only take place in the area of production or logistics, as it is usually indicated, but also in their other functional areas, such as quality management, human resources management, and innovation management. The purpose of the article is to diagnose the level of maturity in the implementation of Industry 4.0 solutions in selected management areas of automotive companies operating in Poland. Using a maturity assessment tool, the authors assessed the level of maturity in six selected functional areas of an enterprise, such as production and logistics management, quality management, human resources management, social and environmental responsibility, and product innovation management. The authors also formulated conclusions and recommendations concerning actions that should be taken by automotive companies in order to achieve higher maturity levels in the implementation of Industry 4.0 solutions.

Suggested Citation

  • Ewa Stawiarska & Danuta Szwajca & Mirosław Matusek & Radosław Wolniak, 2021. "Diagnosis of the Maturity Level of Implementing Industry 4.0 Solutions in Selected Functional Areas of Management of Automotive Companies in Poland," Sustainability, MDPI, vol. 13(9), pages 1-38, April.
  • Handle: RePEc:gam:jsusta:v:13:y:2021:i:9:p:4867-:d:543939
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/13/9/4867/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/13/9/4867/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Wang, Gang & Gunasekaran, Angappa & Ngai, Eric W.T. & Papadopoulos, Thanos, 2016. "Big data analytics in logistics and supply chain management: Certain investigations for research and applications," International Journal of Production Economics, Elsevier, vol. 176(C), pages 98-110.
    2. Llopis-Albert, Carlos & Rubio, Francisco & Valero, Francisco, 2021. "Impact of digital transformation on the automotive industry," Technological Forecasting and Social Change, Elsevier, vol. 162(C).
    3. Leonilde Varela & Adriana Araújo & Paulo Ávila & Hélio Castro & Goran Putnik, 2019. "Evaluation of the Relation between Lean Manufacturing, Industry 4.0, and Sustainability," Sustainability, MDPI, vol. 11(5), pages 1-19, March.
    4. Jabbour, Charbel Jose Chiappetta & Jabbour, Ana Beatriz Lopes de Sousa & Sarkis, Joseph & Filho, Moacir Godinho, 2019. "Unlocking the circular economy through new business models based on large-scale data: An integrative framework and research agenda," Technological Forecasting and Social Change, Elsevier, vol. 144(C), pages 546-552.
    5. Joseph Sarkis & Qingyun Zhu, 2018. "Environmental sustainability and production: taking the road less travelled," International Journal of Production Research, Taylor & Francis Journals, vol. 56(1-2), pages 743-759, January.
    6. Dalenogare, Lucas Santos & Benitez, Guilherme Brittes & Ayala, Néstor Fabián & Frank, Alejandro Germán, 2018. "The expected contribution of Industry 4.0 technologies for industrial performance," International Journal of Production Economics, Elsevier, vol. 204(C), pages 383-394.
    7. Hendrik S. Birkel & Johannes W. Veile & Julian M. Müller & Evi Hartmann & Kai-Ingo Voigt, 2019. "Development of a Risk Framework for Industry 4.0 in the Context of Sustainability for Established Manufacturers," Sustainability, MDPI, vol. 11(2), pages 1-27, January.
    8. 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.
    9. Paul Schneider, 2018. "Managerial challenges of Industry 4.0: an empirically backed research agenda for a nascent field," Review of Managerial Science, Springer, vol. 12(3), pages 803-848, July.
    10. Ewa Stawiarska & Paweł Sobczak, 2018. "The Impact of Intelligent Transportation System Implementations on the Sustainable Growth of Passenger Transport in EU Regions," Sustainability, MDPI, vol. 10(5), pages 1-32, April.
    11. Radosław Wolniak & Sebastian Saniuk & Sandra Grabowska & Bożena Gajdzik, 2020. "Identification of Energy Efficiency Trends in the Context of the Development of Industry 4.0 Using the Polish Steel Sector as an Example," Energies, MDPI, vol. 13(11), pages 1-16, June.
    12. Vinit Parida & David Sjödin & Wiebke Reim, 2019. "Reviewing Literature on Digitalization, Business Model Innovation, and Sustainable Industry: Past Achievements and Future Promises," Sustainability, MDPI, vol. 11(2), pages 1-18, January.
    13. 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.
    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. Syed Abdul Rehman Khan & Muhammad Umar & Alam Asadov & Muhammad Tanveer & Zhang Yu, 2022. "Technological Revolution and Circular Economy Practices: A Mechanism of Green Economy," Sustainability, MDPI, vol. 14(8), pages 1-14, April.
    2. Katarzyna Piwowar-Sulej & Magdalena Rojek-Nowosielska & Agnieszka Sokołowska-Durkalec & Urszula Markowska-Przybyła, 2022. "Maturity of CSR Implementation at the Organizational Level—From Literature Review to a Comprehensive Model," Sustainability, MDPI, vol. 14(24), pages 1-17, December.
    3. Radosław Drozd & Radosław Wolniak & Jan Piwnik, 2023. "Systemic analysis of a manufacturing process based on a small scale bakery," Quality & Quantity: International Journal of Methodology, Springer, vol. 57(2), pages 1421-1437, April.

    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. Sehrish Atif & Shehzad Ahmed & Muhammad Wasim & Bassam Zeb & Zeeshan Pervez & Lorraine Quinn, 2021. "Towards a Conceptual Development of Industry 4.0, Servitisation, and Circular Economy: A Systematic Literature Review," Sustainability, MDPI, vol. 13(11), pages 1-27, June.
    2. Büchi, Giacomo & Cugno, Monica & Castagnoli, Rebecca, 2020. "Smart factory performance and Industry 4.0," Technological Forecasting and Social Change, Elsevier, vol. 150(C).
    3. Fernando E. García-Muiña & María Sonia Medina-Salgado & Anna Maria Ferrari & Marco Cucchi, 2020. "Sustainability Transition in Industry 4.0 and Smart Manufacturing with the Triple-Layered Business Model Canvas," Sustainability, MDPI, vol. 12(6), pages 1-19, March.
    4. Alkaraan, Fadi & Elmarzouky, Mahmoud & Hussainey, Khaled & Venkatesh, V.G., 2023. "Sustainable strategic investment decision-making practices in UK companies: The influence of governance mechanisms on synergy between industry 4.0 and circular economy," Technological Forecasting and Social Change, Elsevier, vol. 187(C).
    5. Mohammadreza Akbari & John L. Hopkins, 2022. "Digital technologies as enablers of supply chain sustainability in an emerging economy," Operations Management Research, Springer, vol. 15(3), pages 689-710, December.
    6. Andreas Felsberger & Gerald Reiner, 2020. "Sustainable Industry 4.0 in Production and Operations Management: A Systematic Literature Review," Sustainability, MDPI, vol. 12(19), pages 1-39, September.
    7. Biman Darshana Hettiarachchi & Stefan Seuring & Marcus Brandenburg, 2022. "Industry 4.0-driven operations and supply chains for the circular economy: a bibliometric analysis," Operations Management Research, Springer, vol. 15(3), pages 858-878, December.
    8. Cugno, Monica & Castagnoli, Rebecca & Büchi, Giacomo, 2021. "Openness to Industry 4.0 and performance: The impact of barriers and incentives," Technological Forecasting and Social Change, Elsevier, vol. 168(C).
    9. Anja Jankovic-Zugic & Nenad Medic & Marko Pavlovic & Tanja Todorovic & Slavko Rakic, 2023. "Servitization 4.0 as a Trigger for Sustainable Business: Evidence from Automotive Digital Supply Chain," Sustainability, MDPI, vol. 15(3), pages 1-13, January.
    10. Marcon, Érico & Le Dain, Marie-Anne & Frank, Alejandro G., 2022. "Designing business models for Industry 4.0 technologies provision: Changes in business dimensions through digital transformation," Technological Forecasting and Social Change, Elsevier, vol. 185(C).
    11. Calabrese, Armando & Costa, Roberta & Tiburzi, Luigi & Brem, Alexander, 2023. "Merging two revolutions: A human-artificial intelligence method to study how sustainability and Industry 4.0 are intertwined," Technological Forecasting and Social Change, Elsevier, vol. 188(C).
    12. Chatterjee, Sheshadri & Rana, Nripendra P. & Dwivedi, Yogesh K. & Baabdullah, Abdullah M., 2021. "Understanding AI adoption in manufacturing and production firms using an integrated TAM-TOE model," Technological Forecasting and Social Change, Elsevier, vol. 170(C).
    13. 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).
    14. 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).
    15. Tortorella, Guilherme Luz & Fogliatto, Flavio S. & Cauchick-Miguel, Paulo A. & Kurnia, Sherah & Jurburg, Daniel, 2021. "Integration of Industry 4.0 technologies into Total Productive Maintenance practices," International Journal of Production Economics, Elsevier, vol. 240(C).
    16. Paiola, Marco & Schiavone, Francesco & Grandinetti, Roberto & Chen, Junsong, 2021. "Digital servitization and sustainability through networking: Some evidences from IoT-based business models," Journal of Business Research, Elsevier, vol. 132(C), pages 507-516.
    17. Hua Zhang & Qiwang Zhang, 2023. "How Does Digital Transformation Facilitate Enterprise Total Factor Productivity? The Multiple Mediators of Supplier Concentration and Customer Concentration," Sustainability, MDPI, vol. 15(3), pages 1-18, January.
    18. Tortorella, Guilherme Luz & Narayanamurthy, Gopalakrishnan & Thurer, Matthias, 2021. "Identifying pathways to a high-performing lean automation implementation: An empirical study in the manufacturing industry," International Journal of Production Economics, Elsevier, vol. 231(C).
    19. Srivastava, Deepak Kumar & Kumar, Vikas & Ekren, Banu Yetkin & Upadhyay, Arvind & Tyagi, Mrinal & Kumari, Archana, 2022. "Adopting Industry 4.0 by leveraging organisational factors," Technological Forecasting and Social Change, Elsevier, vol. 176(C).
    20. Li, Ying & Dai, Jing & Cui, Li, 2020. "The impact of digital technologies on economic and environmental performance in the context of industry 4.0: A moderated mediation model," International Journal of Production Economics, Elsevier, vol. 229(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:9:p:4867-:d:543939. 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.