IDEAS home Printed from https://ideas.repec.org/a/spr/opmare/v16y2023i3d10.1007_s12063-022-00329-w.html
   My bibliography  Save this article

Modeling the impact of industry 4.0 base technologies on the development of organizational learning capabilities

Author

Listed:
  • Guilherme Luz Tortorella

    (The University of Melbourne
    Universidad Austral
    Universidade Federal de Santa Catarina)

  • Flavio S. Fogliatto

    (Universidade Federal do Rio Grande do Sul)

  • Michel J. Anzanello

    (Universidade Federal do Rio Grande do Sul)

  • Alejandro Mac Cawley Vergara

    (Pontifícia Universidade Católica)

  • Roberto Vassolo

    (Universidad Austral)

  • Jose Arturo Garza-Reyes

    (University of Derby)

Abstract

In this paper, we examine the impact of adopting Industry 4.0 (I4.0) base technologies on the development of seven learning dimensions used as proxies for organization learning capabilities. We conducted a grounded theory approach in which 129 practitioners from different manufacturing companies were surveyed, and their responses analyzed through multivariate techniques. Findings allowed us to raise a theoretical framework for explaining learning development in organizations undergoing I4.0 adoption. We identified three clusters of adopters: (i) beginners, (ii) in-transition, and (iii) advanced. We found an ascending learning trend in clusters (i) and (iii) and a stationary learning pattern in (ii). Our study advances the understanding of how learning capabilities are affected as organizations advance I4.0 adoption. Our findings also gauge expectations regarding the effects of I4.0 base technologies’ adoption on learning capabilities, helping academics and practitioners anticipate potential issues and develop countermeasures accordingly.

Suggested Citation

  • Guilherme Luz Tortorella & Flavio S. Fogliatto & Michel J. Anzanello & Alejandro Mac Cawley Vergara & Roberto Vassolo & Jose Arturo Garza-Reyes, 2023. "Modeling the impact of industry 4.0 base technologies on the development of organizational learning capabilities," Operations Management Research, Springer, vol. 16(3), pages 1091-1104, September.
    • Handle: RePEc:spr:opmare:v:16:y:2023:i:3:d:10.1007_s12063-022-00329-w
    DOI: 10.1007/s12063-022-00329-w
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s12063-022-00329-w
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s12063-022-00329-w?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. James G. March, 1991. "Exploration and Exploitation in Organizational Learning," Organization Science, INFORMS, vol. 2(1), pages 71-87, February.
    2. Guilherme F. Frederico, 2021. "Project Management for Supply Chains 4.0: A conceptual framework proposal based on PMBOK methodology," Operations Management Research, Springer, vol. 14(3), pages 434-450, December.
    3. Sikorski, Janusz J. & Haughton, Joy & Kraft, Markus, 2017. "Blockchain technology in the chemical industry: Machine-to-machine electricity market," Applied Energy, Elsevier, vol. 195(C), pages 234-246.
    4. Muhammad Irfan & Mingzheng Wang & Naeem Akhtar, 2019. "Impact of IT capabilities on supply chain capabilities and organizational agility: a dynamic capability view," Operations Management Research, Springer, vol. 12(3), pages 113-128, December.
    5. Raj, Alok & Dwivedi, Gourav & Sharma, Ankit & Lopes de Sousa Jabbour, Ana Beatriz & Rajak, Sonu, 2020. "Barriers to the adoption of industry 4.0 technologies in the manufacturing sector: An inter-country comparative perspective," International Journal of Production Economics, Elsevier, vol. 224(C).
    6. Blut, Markus & Backhaus, Christof & Heussler, Tobias & Woisetschläger, David M. & Evanschitzky, Heiner & Ahlert, Dieter, 2011. "What to Expect After the Honeymoon: Testing a Lifecycle Theory of Franchise Relationships," Journal of Retailing, Elsevier, vol. 87(3), pages 306-319.
    7. George P. Huber & Danial J. Power, 1985. "Retrospective reports of strategic‐level managers: Guidelines for increasing their accuracy," Strategic Management Journal, Wiley Blackwell, vol. 6(2), pages 171-180, April.
    8. Mijalce Santa & Selmin Nurcan, 2016. "Learning organization modelling patterns," Knowledge Management Research & Practice, Taylor & Francis Journals, vol. 14(1), pages 106-125, February.
    9. 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.
    10. Danny Samson & Matteo Kalchschmidt, 2019. "Looking forward in operations management research," Operations Management Research, Springer, vol. 12(1), pages 1-3, June.
    11. 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.
    12. María P Salmador & Juan Florín, 2013. "Knowledge creation and competitive advantage in turbulent environments: a process model of organizational learning," Knowledge Management Research & Practice, Taylor & Francis Journals, vol. 11(4), pages 374-388, November.
    13. Alfonso J Gil & Francisco J Carrillo, 2016. "Knowledge transfer and the learning process in Spanish wineries," Knowledge Management Research & Practice, Taylor & Francis Journals, vol. 14(1), pages 60-68, February.
    14. Zhang Yu & Syed Abdul Rehman Khan & Muhammad Umar, 2022. "Circular economy practices and industry 4.0 technologies: A strategic move of automobile industry," Business Strategy and the Environment, Wiley Blackwell, vol. 31(3), pages 796-809, March.
    15. Torbjørn H. Netland & Kasra Ferdows, 2016. "The S-Curve Effect of Lean Implementation," Production and Operations Management, Production and Operations Management Society, vol. 25(6), pages 1106-1120, June.
    16. Gerald C. Kane & Maryam Alavi, 2007. "Information Technology and Organizational Learning: An Investigation of Exploration and Exploitation Processes," Organization Science, INFORMS, vol. 18(5), pages 796-812, October.
    Full references (including those not matched with items on IDEAS)

    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. Karmaker, Chitra Lekha & Bari, A.B.M. Mainul & Anam, Md. Zahidul & Ahmed, Tazim & Ali, Syed Mithun & de Jesus Pacheco, Diego Augusto & Moktadir, Md. Abdul, 2023. "Industry 5.0 challenges for post-pandemic supply chain sustainability in an emerging economy," International Journal of Production Economics, Elsevier, vol. 258(C).
    2. Gillani, Fatima & Chatha, Kamran Ali & Sadiq Jajja, Muhammad Shakeel & Farooq, Sami, 2020. "Implementation of digital manufacturing technologies: Antecedents and consequences," International Journal of Production Economics, Elsevier, vol. 229(C).
    3. Dashi Nazarov & Anton Klarin, 2020. "Taxonomy of Industry 4.0 research: Mapping scholarship and industry insights," Systems Research and Behavioral Science, Wiley Blackwell, vol. 37(4), pages 535-556, July.
    4. Alok Raj & Anand Jeyaraj, 2023. "Antecedents and consequents of industry 4.0 adoption using technology, organization and environment (TOE) framework: A meta-analysis," Annals of Operations Research, Springer, vol. 322(1), pages 101-124, March.
    5. Tortorella, Guilherme Luz & Cawley Vergara, Alejandro Mac & Garza-Reyes, Jose Arturo & Sawhney, Rapinder, 2020. "Organizational learning paths based upon industry 4.0 adoption: An empirical study with Brazilian manufacturers," International Journal of Production Economics, Elsevier, vol. 219(C), pages 284-294.
    6. Laubengaier, Désirée A. & Cagliano, Raffaella & Canterino, Filomena, 2022. "It Takes Two to Tango: Analyzing the Relationship between Technological and Administrative Process Innovations in Industry 4.0," Technological Forecasting and Social Change, Elsevier, vol. 180(C).
    7. 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).
    8. Tortorella, Guilherme Luz & Saurin, Tarcísio Abreu & Filho, Moacir Godinho & Samson, Daniel & Kumar, Maneesh, 2021. "Bundles of Lean Automation practices and principles and their impact on operational performance," International Journal of Production Economics, Elsevier, vol. 235(C).
    9. Rathore, Himanshu & Jakhar, Suresh Kumar & Bhattacharya, Arijit & Madhumitha, E., 2020. "Examining the mediating role of innovative capabilities in the interplay between lean processes and sustainable performance," International Journal of Production Economics, Elsevier, vol. 219(C), pages 497-508.
    10. Tortorella, Guilherme Luz & Saurin, Tarcisio A. & Hines, Peter & Antony, Jiju & Samson, Daniel, 2023. "Myths and facts of industry 4.0," International Journal of Production Economics, Elsevier, vol. 255(C).
    11. Ricci, Riccardo & Battaglia, Daniele & Neirotti, Paolo, 2021. "External knowledge search, opportunity recognition and industry 4.0 adoption in SMEs," International Journal of Production Economics, Elsevier, vol. 240(C).
    12. Boeker, Warren & Howard, Michael D. & Basu, Sandip & Sahaym, Arvin, 2021. "Interpersonal relationships, digital technologies, and innovation in entrepreneurial ventures," Journal of Business Research, Elsevier, vol. 125(C), pages 495-507.
    13. Gerald C. Kane & Jeremiah Johnson & Ann Majchrzak, 2014. "Emergent Life Cycle: The Tension Between Knowledge Change and Knowledge Retention in Open Online Coproduction Communities," Management Science, INFORMS, vol. 60(12), pages 3026-3048, December.
    14. Sasanka Sekhar Chanda & Bill McKelvey, 2020. "Back to the basics: reconciling the continuum and orthogonal conceptions of exploration and exploitation," Computational and Mathematical Organization Theory, Springer, vol. 26(2), pages 175-206, June.
    15. Gerald C. Kane & Maryam Alavi, 2008. "Casting the Net: A Multimodal Network Perspective on User-System Interactions," Information Systems Research, INFORMS, vol. 19(3), pages 253-272, September.
    16. Benoît Desmarchelier & Faridah Djellal & Faïz Gallouj, 2019. "Users' Involvement in Value Co‐Creation: The More the Better?," Post-Print hal-02354136, HAL.
    17. Alexandra Durcikova & Kelly J. Fadel & Brian S. Butler & Dennis F. Galletta, 2011. "Research Note ---Knowledge Exploration and Exploitation: The Impacts of Psychological Climate and Knowledge Management System Access," Information Systems Research, INFORMS, vol. 22(4), pages 855-866, December.
    18. Christina Fang & Jeho Lee & Melissa A. Schilling, 2010. "Balancing Exploration and Exploitation Through Structural Design: The Isolation of Subgroups and Organizational Learning," Organization Science, INFORMS, vol. 21(3), pages 625-642, June.
    19. Siqing Shan & Xin Wen & Yigang Wei & Zijin Wang & Yong Chen, 2020. "Intelligent manufacturing in industry 4.0: A case study of Sany heavy industry," Systems Research and Behavioral Science, Wiley Blackwell, vol. 37(4), pages 679-690, July.
    20. Bai, Chunguang & Dallasega, Patrick & Orzes, Guido & Sarkis, Joseph, 2020. "Industry 4.0 technologies assessment: A sustainability perspective," 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:spr:opmare:v:16:y:2023:i:3:d:10.1007_s12063-022-00329-w. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.