IDEAS home Printed from https://ideas.repec.org/a/eee/proeco/v255y2023ics0925527322002407.html
   My bibliography  Save this article

Developing an industry 4.0 readiness model using fuzzy cognitive maps approach

Author

Listed:
  • Monshizadeh, Fatemeh
  • Sadeghi Moghadam, Mohammad Reza
  • Mansouri, Taha
  • Kumar, Maneesh

Abstract

Industry 4.0, or the fourth industrial revolution, is a new paradigm in manufacturing digitalization, which provides various opportunities for enterprises. Industry 4.0 readiness models are worthy methods to aid manufacturing organizations in tracking the development of their businesses and operations. Nevertheless, there are different Industry 4.0 readiness models; no work has yet analyzed Industry 4.0 readiness degree and causal effects relationships using fuzzy cognitive maps. This paper proposes an Industry 4.0 readiness model that consists of readiness requirements obtained from the literature and validated through a mixed-method approach, including literature reviews and questionnaires. To validate the proposed Industry 4.0 readiness model, the exploratory factor analysis and confirmatory factor analysis methods are used. Fuzzy Cognitive Map is utilized to assess readiness, identify relevant concepts to improve readiness degree, implement Industry 4.0, and analyze causal relationships among concepts and dimensions. Through this model and the FCM method, managers can recognize relevant concepts and predict complicated cause-effect relationships among concepts in two states of static and dynamic analyses to increase readiness degree. The paper concludes by emphasizing managerial implications for successful applications in practice as well as future research suggestions on developing the Industry 4.0 readiness model.

Suggested Citation

  • Monshizadeh, Fatemeh & Sadeghi Moghadam, Mohammad Reza & Mansouri, Taha & Kumar, Maneesh, 2023. "Developing an industry 4.0 readiness model using fuzzy cognitive maps approach," International Journal of Production Economics, Elsevier, vol. 255(C).
    • Handle: RePEc:eee:proeco:v:255:y:2023:i:c:s0925527322002407
    DOI: 10.1016/j.ijpe.2022.108658
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0925527322002407
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.ijpe.2022.108658?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. Andriolo, Alessandro & Battini, Daria & Grubbström, Robert W. & Persona, Alessandro & Sgarbossa, Fabio, 2014. "A century of evolution from Harris׳s basic lot size model: Survey and research agenda," International Journal of Production Economics, Elsevier, vol. 155(C), pages 16-38.
    2. Dieste, Marcos & Sauer, Philipp C. & Orzes, Guido, 2022. "Organizational tensions in industry 4.0 implementation: A paradox theory approach," International Journal of Production Economics, Elsevier, vol. 251(C).
    3. Caiado, Rodrigo Goyannes Gusmão & Scavarda, Luiz Felipe & Gavião, Luiz Octávio & Ivson, Paulo & Nascimento, Daniel Luiz de Mattos & Garza-Reyes, Jose Arturo, 2021. "A fuzzy rule-based industry 4.0 maturity model for operations and supply chain management," International Journal of Production Economics, Elsevier, vol. 231(C).
    4. Culot, Giovanna & Nassimbeni, Guido & Orzes, Guido & Sartor, Marco, 2020. "Behind the definition of Industry 4.0: Analysis and open questions," International Journal of Production Economics, Elsevier, vol. 226(C).
    5. Alexandre Moeuf & Robert Pellerin & Samir Lamouri & Simon Tamayo-Giraldo & Rodolphe Barbaray, 2018. "The industrial management of SMEs in the era of Industry 4.0," International Journal of Production Research, Taylor & Francis Journals, vol. 56(3), pages 1118-1136, February.
    6. Ahad Zare Ravasan & Taha Mansouri, 2014. "A FCM-Based Dynamic Modeling of ERP Implementation Critical Failure Factors," International Journal of Enterprise Information Systems (IJEIS), IGI Global, vol. 10(1), pages 32-52, January.
    7. Matana, Gleison & Simon, Alexandre & Filho, Moacir Godinho & Helleno, André, 2020. "Method to assess the adherence of internal logistics equipment to the concept of CPS for industry 4.0," International Journal of Production Economics, Elsevier, vol. 228(C).
    8. Rafael, Lizarralde Dorronsoro & Jaione, Ganzarain Epelde & Cristina, López & Ibon, Serrano Lasa, 2020. "An Industry 4.0 maturity model for machine tool companies," Technological Forecasting and Social Change, Elsevier, vol. 159(C).
    9. Hussain, Matloub & Papastathopoulos, Avraam, 2022. "Organizational readiness for digital financial innovation and financial resilience," International Journal of Production Economics, Elsevier, vol. 243(C).
    10. Ahmadi, Sadra & Yeh, Chung-Hsing & Martin, Rodney & Papageorgiou, Elpiniki, 2015. "Optimizing ERP readiness improvements under budgetary constraints," International Journal of Production Economics, Elsevier, vol. 161(C), pages 105-115.
    11. 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).
    12. Radosław Miśkiewicz & Radosław Wolniak, 2020. "Practical Application of the Industry 4.0 Concept in a Steel Company," Sustainability, MDPI, vol. 12(14), pages 1-21, July.
    13. Santos, Maribel Yasmina & Oliveira e Sá, Jorge & Andrade, Carina & Vale Lima, Francisca & Costa, Eduarda & Costa, Carlos & Martinho, Bruno & Galvão, João, 2017. "A Big Data system supporting Bosch Braga Industry 4.0 strategy," International Journal of Information Management, Elsevier, vol. 37(6), pages 750-760.
    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. 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).
    2. 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).
    3. Erhan Baran & Tulay Korkusuz Polat, 2022. "Classification of Industry 4.0 for Total Quality Management: A Review," Sustainability, MDPI, vol. 14(6), pages 1-20, March.
    4. Peerally, Jahan Ara & Santiago, Fernando & De Fuentes, Claudia & Moghavvemi, Sedigheh, 2022. "Towards a firm-level technological capability framework to endorse and actualize the Fourth Industrial Revolution in developing countries," Research Policy, Elsevier, vol. 51(10).
    5. Yüksel, Hilmi, 2020. "An empirical evaluation of industry 4.0 applications of companies in Turkey: The case of a developing country," Technology in Society, Elsevier, vol. 63(C).
    6. Szymon Cyfert & Waldemar Glabiszewski & Maciej Zastempowski, 2021. "Impact of Management Tools Supporting Industry 4.0 on the Importance of CSR during COVID-19. Generation Z," Energies, MDPI, vol. 14(6), pages 1-13, March.
    7. Pinto, Marcelo Rezende & Salume, Paula Karina & Barbosa, Marcelo Werneck & de Sousa, Paulo Renato, 2023. "The path to digital maturity: A cluster analysis of the retail industry in an emerging economy," Technology in Society, Elsevier, vol. 72(C).
    8. Henrik Saabye & Thomas Borup Kristensen & Brian Vejrum Wæhrens, 2020. "Real-Time Data Utilization Barriers to Improving Production Performance: An In-depth Case Study Linking Lean Management and Industry 4.0 from a Learning Organization Perspective," Sustainability, MDPI, vol. 12(21), pages 1-21, October.
    9. Yunus Zengin & Serkan Naktiyok & Erdoğan Kaygın & Onur Kavak & Ethem Topçuoğlu, 2021. "An Investigation upon Industry 4.0 and Society 5.0 within the Context of Sustainable Development Goals," Sustainability, MDPI, vol. 13(5), pages 1-16, March.
    10. Leticya Hilario Raddi-Mira & Jose Eduardo Pecora Junior & Fernando Deschamps, 2024. "Framework for Implementing Industry 4.0 Projects," Sustainability, MDPI, vol. 16(6), pages 1-20, March.
    11. Soni, Gunjan & Kumar, Satish & Mahto, Raj V. & Mangla, Sachin K. & Mittal, M.L. & Lim, Weng Marc, 2022. "A decision-making framework for Industry 4.0 technology implementation: The case of FinTech and sustainable supply chain finance for SMEs," Technological Forecasting and Social Change, Elsevier, vol. 180(C).
    12. Yasser Omar Abdallah & Essam Shehab & Ahmed Al-Ashaab, 2022. "Developing a digital transformation process in the manufacturing sector: Egyptian case study," Information Systems and e-Business Management, Springer, vol. 20(3), pages 613-630, September.
    13. Zhao, Nanyang & Hong, Jiangtao & Lau, Kwok Hung, 2023. "Impact of supply chain digitalization on supply chain resilience and performance: A multi-mediation model," International Journal of Production Economics, Elsevier, vol. 259(C).
    14. Somohano-Rodríguez, Francisco M. & Madrid-Guijarro, Antonia, 2022. "Do industry 4.0 technologies improve Cantabrian manufacturing smes performance? The role played by industry competition," Technology in Society, Elsevier, vol. 70(C).
    15. Bai, Chunguang & Sarkis, Joseph, 2022. "A critical review of formal analytical modeling for blockchain technology in production, operations, and supply chains: Harnessing progress for future potential," International Journal of Production Economics, Elsevier, vol. 250(C).
    16. Renata Turisová & Hana Pačaiová & Zuzana Kotianová & Anna Nagyová & Michal Hovanec & Peter Korba, 2021. "Evaluation of eMaintenance Application Based on the New Version of the EFQM Model," Sustainability, MDPI, vol. 13(7), pages 1-15, March.
    17. 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).
    18. 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).
    19. Virmani, Naveen & Sharma, Shikha & Kumar, Anil & Luthra, Sunil, 2023. "Adoption of industry 4.0 evidence in emerging economy: Behavioral reasoning theory perspective," Technological Forecasting and Social Change, Elsevier, vol. 188(C).
    20. 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).

    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:255:y:2023:i:c:s0925527322002407. 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.