IDEAS home Printed from https://ideas.repec.org/a/eee/proeco/v270y2024ics0925527324000495.html
   My bibliography  Save this article

The interplay of lean practices and digitalization on organizational learning systems and operational performance

Author

Listed:
  • Sunder M, Vijaya
  • Prashar, Anupama

Abstract

This research is based on the thesis that organizational processes (via lean practices), technology (via digitalization), and people (via learning) constitute a managerial framework essential for operational performance. It aims to theorize and test the independent and interconnected effects of lean practices and digitalization on operational performance via organizational learning. The researchers combine primary data collected from 209 manufacturing firms listed in the Global Manufacturing Competitive Index database reported by Deloitte, from 12 emerging economies, using a survey, with archival data downloaded from the Orbis database and test the hypothesized relationships. The results indicate that the learning system mediates the relationship between lean practices and operational performance, but not between digitalization and operational performance. Further, the interaction effects of digitalization on lean practices reveal that the mediation effect of the emergent learning system is prominent when digitalization is high, but not significant when digitalization is low. This study recommends that emergent learning that integrates leanness and digitalization is vital for improving operational performance in the current digital era. It prescribes digitalization as a strategic resource for lean organizations. The results imply that a high level of digitalization blended with lean practices results in better operational performance, and vice versa may not be a good investment for firms.

Suggested Citation

  • Sunder M, Vijaya & Prashar, Anupama, 2024. "The interplay of lean practices and digitalization on organizational learning systems and operational performance," International Journal of Production Economics, Elsevier, vol. 270(C).
    • Handle: RePEc:eee:proeco:v:270:y:2024:i:c:s0925527324000495
    DOI: 10.1016/j.ijpe.2024.109192
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0925527324000495
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.ijpe.2024.109192?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. Cifone, Fabiana Dafne & Hoberg, Kai & Holweg, Matthias & Staudacher, Alberto Portioli, 2021. "‘Lean 4.0’: How can digital technologies support lean practices?," International Journal of Production Economics, Elsevier, vol. 241(C).
    2. John Antonakis & Samuel Bendahan & Philippe Jacquart & Rafael Lalive, 2010. "On making causal claims : A review and recommendations," Post-Print hal-02313119, HAL.
    3. 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).
    4. Tava Lennon Olsen & Brian Tomlin, 2020. "Industry 4.0: Opportunities and Challenges for Operations Management," Manufacturing & Service Operations Management, INFORMS, vol. 22(1), pages 113-122, January.
    5. Sidney G. Winter, 2000. "The Satisficing Principle in Capability Learning," Strategic Management Journal, Wiley Blackwell, vol. 21(10‐11), pages 981-996, October.
    6. Meindl, Benjamin & Ayala, Néstor Fabián & Mendonça, Joana & Frank, Alejandro G., 2021. "The four smarts of Industry 4.0: Evolution of ten years of research and future perspectives," Technological Forecasting and Social Change, Elsevier, vol. 168(C).
    7. Linda Argote, 2013. "Organization Learning: A Theoretical Framework," Springer Books, in: Organizational Learning, edition 2, chapter 0, pages 31-56, Springer.
    8. Linda Argote & Bill McEvily & Ray Reagans, 2003. "Managing Knowledge in Organizations: An Integrative Framework and Review of Emerging Themes," Management Science, INFORMS, vol. 49(4), pages 571-582, April.
    9. Pisano, Gary P., 1996. "Learning-before-doing in the development of new process technology," Research Policy, Elsevier, vol. 25(7), pages 1097-1119, October.
    10. Armstrong, J. Scott & Overton, Terry S., 1977. "Estimating Nonresponse Bias in Mail Surveys," MPRA Paper 81694, University Library of Munich, Germany.
    11. Nicholas Bloom & Christos Genakos & Raffaella Sadun & John Van Reenen, 2011. "Management Practices Across Firms and Countries," CEP Discussion Papers dp1109, Centre for Economic Performance, LSE.
    12. Ulrich Lichtenthaler & Eckhard Lichtenthaler, 2009. "A Capability‐Based Framework for Open Innovation: Complementing Absorptive Capacity," Journal of Management Studies, Wiley Blackwell, vol. 46(8), pages 1315-1338, December.
    13. Sven-Vegard Buer & Jan Ola Strandhagen & Felix T. S. Chan, 2018. "The link between Industry 4.0 and lean manufacturing: mapping current research and establishing a research agenda," International Journal of Production Research, Taylor & Francis Journals, vol. 56(8), pages 2924-2940, April.
    14. Soliman, Marlon & Saurin, Tarcisio Abreu & Anzanello, Michel Jose, 2018. "The impacts of lean production on the complexity of socio-technical systems," International Journal of Production Economics, Elsevier, vol. 197(C), pages 342-357.
    15. 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.
    16. Sunder M, Vijaya & Ganesh, L.S., 2021. "Lean additives in a service factory: A design science approach," Technovation, Elsevier, vol. 104(C).
    17. Gebauer, Heiko & Worch, Hagen & Truffer, Bernhard, 2012. "Absorptive capacity, learning processes and combinative capabilities as determinants of strategic innovation," European Management Journal, Elsevier, vol. 30(1), pages 57-73.
    18. Agarwal, Renu & Green, Roy & Brown, Paul J. & Tan, Hao & Randhawa, Krithika, 2013. "Determinants of quality management practices: An empirical study of New Zealand manufacturing firms," International Journal of Production Economics, Elsevier, vol. 142(1), pages 130-145.
    19. Miguel Núñez-Merino & Juan Manuel Maqueira-Marín & José Moyano-Fuentes & Pedro José Martínez-Jurado, 2020. "Information and digital technologies of Industry 4.0 and Lean supply chain management: a systematic literature review," International Journal of Production Research, Taylor & Francis Journals, vol. 58(16), pages 5034-5061, July.
    20. Frédéric Rosin & Pascal Forget & Samir Lamouri & Robert Pellerin, 2020. "Impacts of Industry 4.0 technologies on Lean principles," International Journal of Production Research, Taylor & Francis Journals, vol. 58(6), pages 1644-1661, March.
    21. Paul Chwelos & Izak Benbasat & Albert S. Dexter, 2001. "Research Report: Empirical Test of an EDI Adoption Model," Information Systems Research, INFORMS, vol. 12(3), pages 304-321, September.
    22. Frank, Alejandro Germán & Dalenogare, Lucas Santos & Ayala, Néstor Fabián, 2019. "Industry 4.0 technologies: Implementation patterns in manufacturing companies," International Journal of Production Economics, Elsevier, vol. 210(C), pages 15-26.
    23. 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.
    24. Maurizio Zollo & Sidney G. Winter, 2002. "Deliberate Learning and the Evolution of Dynamic Capabilities," Organization Science, INFORMS, vol. 13(3), pages 339-351, June.
    25. Jayanth Jayaram & S. Vickery & C. Droge, 2008. "Relationship building, lean strategy and firm performance: an exploratory study in the automotive supplier industry," International Journal of Production Research, Taylor & Francis Journals, vol. 46(20), pages 5633-5649, January.
    26. Guilherme Luz Tortorella & Diego Fettermann, 2018. "Implementation of Industry 4.0 and lean production in Brazilian manufacturing companies," International Journal of Production Research, Taylor & Francis Journals, vol. 56(8), pages 2975-2987, April.
    27. Tomas Bonavia & Juan A. Marin‐Garcia, 2011. "Integrating human resource management into lean production and their impact on organizational performance," International Journal of Manpower, Emerald Group Publishing Limited, vol. 32(8), pages 923-938, November.
    28. Anders Skrondal & Petter Laake, 2001. "Regression among factor scores," Psychometrika, Springer;The Psychometric Society, vol. 66(4), pages 563-575, December.
    29. Battistoni, Elisa & Gitto, Simone & Murgia, Gianluca & Campisi, Domenico, 2023. "Adoption paths of digital transformation in manufacturing SME," International Journal of Production Economics, Elsevier, vol. 255(C).
    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. Cifone, Fabiana Dafne & Hoberg, Kai & Holweg, Matthias & Staudacher, Alberto Portioli, 2021. "‘Lean 4.0’: How can digital technologies support lean practices?," International Journal of Production Economics, Elsevier, vol. 241(C).
    2. Yu, Yubing & Zhang, Justin Zuopeng & Cao, Yanhong & Kazancoglu, Yigit, 2021. "Intelligent transformation of the manufacturing industry for Industry 4.0: Seizing financial benefits from supply chain relationship capital through enterprise green management," Technological Forecasting and Social Change, Elsevier, vol. 172(C).
    3. 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).
    4. Oliveira-Dias, Diéssica de & Maqueira-Marin, Juan Manuel & Moyano-Fuentes, José & Carvalho, Helena, 2023. "Implications of using Industry 4.0 base technologies for lean and agile supply chains and performance," International Journal of Production Economics, Elsevier, vol. 262(C).
    5. Narayanamurthy, Gopalakrishnan & Tortorella, Guilherme, 2021. "Impact of COVID-19 outbreak on employee performance – Moderating role of industry 4.0 base technologies," International Journal of Production Economics, Elsevier, vol. 234(C).
    6. Bokhorst, Jos A.C. & Knol, Wilfred & Slomp, Jannes & Bortolotti, Thomas, 2022. "Assessing to what extent smart manufacturing builds on lean principles," International Journal of Production Economics, Elsevier, vol. 253(C).
    7. 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).
    8. Gillani, Fatima & Chatha, Kamran Ali & Jajja, Shakeel Sadiq & Cao, Dongmei & Ma, Xiao, 2024. "Unpacking Digital Transformation: Identifying key enablers, transition stages and digital archetypes," Technological Forecasting and Social Change, Elsevier, vol. 203(C).
    9. 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).
    10. Xi, Mengjie & Liu, Yang & Fang, Wei & Feng, Taiwen, 2024. "Intelligent manufacturing for strengthening operational resilience during the COVID-19 pandemic: A dynamic capability theory perspective," International Journal of Production Economics, Elsevier, vol. 267(C).
    11. Bianco, Débora & Bueno, Adauto & Godinho Filho, Moacir & Latan, Hengky & Miller Devós Ganga, Gilberto & Frank, Alejandro G. & Chiappetta Jabbour, Charbel Jose, 2023. "The role of Industry 4.0 in developing resilience for manufacturing companies during COVID-19," International Journal of Production Economics, Elsevier, vol. 256(C).
    12. Bokrantz, Jon & Skoogh, Anders & Berlin, Cecilia & Wuest, Thorsten & Stahre, Johan, 2020. "Smart Maintenance: a research agenda for industrial maintenance management," International Journal of Production Economics, Elsevier, vol. 224(C).
    13. 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).
    14. Philipp Nitzsche & Bernd W. Wirtz & Vincent Göttel, 2016. "Innovation Success In The Context Of Inbound Open Innovation," International Journal of Innovation Management (ijim), World Scientific Publishing Co. Pte. Ltd., vol. 20(02), pages 1-38, February.
    15. Bag, Surajit & Gupta, Shivam & Kumar, Sameer, 2021. "Industry 4.0 adoption and 10R advance manufacturing capabilities for sustainable development," International Journal of Production Economics, Elsevier, vol. 231(C).
    16. 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.
    17. 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.
    18. 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).
    19. 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).
    20. Dubey, Rameshwar & Gunasekaran, Angappa & Childe, Stephen J. & Bryde, David J. & Giannakis, Mihalis & Foropon, Cyril & Roubaud, David & Hazen, Benjamin T., 2020. "Big data analytics and artificial intelligence pathway to operational performance under the effects of entrepreneurial orientation and environmental dynamism: A study of manufacturing organisations," International Journal of Production Economics, Elsevier, vol. 226(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:eee:proeco:v:270:y:2024:i:c:s0925527324000495. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/ijpe .

    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.