IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v16y2024i20p9045-d1501968.html
   My bibliography  Save this article

A Novel Framework for the Iraqi Manufacturing Industry Towards the Adoption of Industry 4.0

Author

Listed:
  • Prabhu Mannadhan

    (George Herbert Walker School of Business & Technology, Webster University Tashkent, Tashkent 100011, Uzbekistan
    Faculty of Transport, Electrical Engineering and Computer Science, Casimir Pulaski Radom University, 26-600 Radom, Poland)

  • Jerzy Ryszard Szymański

    (Faculty of Transport, Electrical Engineering and Computer Science, Casimir Pulaski Radom University, 26-600 Radom, Poland)

  • Marta Zurek-Mortka

    (Department of Control Systems, Lukasiewicz Research Network—Institute for Sustainable Technologies, 26-600 Radom, Poland)

  • Mithileysh Sathiyanarayanan

    (MIT Square Services Private Limited, London EC1V 2NX, UK)

Abstract

This study investigates the readiness of manufacturing industries in the Iraqi sector to adopt and implement Industry 4.0 (I4.0) technologies. The research focuses on manufacturing industries, including automotive, electronics, textiles, food processing, etc. The study’s main objective is to investigate the relationship between adopting I4.0 technologies and performance benefits in these sectors. A structured survey was conducted across 240 manufacturing companies, including specific I4.0 technologies (IoT, Big Data Analytics, Cloud Computing, Artificial Intelligence, etc.), usage levels, operations, products/services, and sustainability. Data were collected through telephone interviews and personal contacts, where the respondents rated the benefits of I4.0 technology adoption and performance benefit dimensions on a five-point Likert scale. The study utilized Partial Least Squares Structural Equation Modelling (PLS-SEM) using SmartPLS 3.2.9 software for data analysis. Findings show a positive relationship between I4.0 technology adoption and industrial performance benefits, emphasizing productivity and production efficiency improvements more than sustainability improvements and resource benefits. This research contributes to the understanding of I4.0 readiness in emerging economies and provides insight for policymakers and industry leaders in Iraq’s manufacturing sector.

Suggested Citation

  • Prabhu Mannadhan & Jerzy Ryszard Szymański & Marta Zurek-Mortka & Mithileysh Sathiyanarayanan, 2024. "A Novel Framework for the Iraqi Manufacturing Industry Towards the Adoption of Industry 4.0," Sustainability, MDPI, vol. 16(20), pages 1-19, October.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:20:p:9045-:d:1501968
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/16/20/9045/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/16/20/9045/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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.
    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. Gilberto Santos & Jose Carlos Sá & Maria João Félix & Luís Barreto & Filipe Carvalho & Manuel Doiro & Kristína Zgodavová & Miladin Stefanović, 2021. "New Needed Quality Management Skills for Quality Managers 4.0," Sustainability, MDPI, vol. 13(11), pages 1-22, May.
    2. Verônica Maurer Tabim & Néstor Fabián Ayala & Alejandro G. Frank, 2024. "Implementing Vertical Integration in the Industry 4.0 Journey: Which Factors Influence the Process of Information Systems Adoption?," Information Systems Frontiers, Springer, vol. 26(5), pages 1615-1632, October.
    3. Michal Gluszak & Remigiusz Gawlik & Malgorzata Zieba, 2019. "Smart and Green Buildings Features in the Decision-Making Hierarchy of Office Space Tenants: An Analytic Hierarchy Process Study," Administrative Sciences, MDPI, vol. 9(3), pages 1-16, July.
    4. 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).
    5. Ismael Cristofer Baierle & Francisco Tardelli da Silva & Ricardo Gonçalves de Faria Correa & Jones Luís Schaefer & Matheus Becker Da Costa & Guilherme Brittes Benitez & Elpidio Oscar Benitez Nara, 2022. "Competitiveness of Food Industry in the Era of Digital Transformation towards Agriculture 4.0," Sustainability, MDPI, vol. 14(18), pages 1-22, September.
    6. 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).
    7. 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).
    8. Jamal El Baz & Anass Cherrafi & Abla Chaouni Benabdellah & Kamar Zekhnini & Jean Noel Beka Be Nguema & Ridha Derrouiche, 2023. "Environmental Supply Chain Risk Management for Industry 4.0: A Data Mining Framework and Research Agenda," Post-Print hal-04335003, HAL.
    9. Esther Calderon-Monge & Domingo Ribeiro-Soriano, 2024. "The role of digitalization in business and management: a systematic literature review," Review of Managerial Science, Springer, vol. 18(2), pages 449-491, February.
    10. Olumide Emmanuel Oluyisola & Fabio Sgarbossa & Jan Ola Strandhagen, 2020. "Smart Production Planning and Control: Concept, Use-Cases and Sustainability Implications," Sustainability, MDPI, vol. 12(9), pages 1-29, May.
    11. 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.
    12. Mykola Odrekhivskyi & Orysya Pshyk-Kovalska & Volodymyr Zhezhukha & Iryna Ivanochko, 2022. "Intelligent Management of Enterprise Business Processes," Mathematics, MDPI, vol. 11(1), pages 1-15, December.
    13. Livio Cricelli & Serena Strazzullo, 2021. "The Economic Aspect of Digital Sustainability: A Systematic Review," Sustainability, MDPI, vol. 13(15), pages 1-15, July.
    14. Moustafa Elnadi & Yasser Omar Abdallah, 2024. "Industry 4.0: critical investigations and synthesis of key findings," Management Review Quarterly, Springer, vol. 74(2), pages 711-744, June.
    15. Özköse, Hakan & Güney, Gül, 2023. "The effects of industry 4.0 on productivity: A scientific mapping study," Technology in Society, Elsevier, vol. 75(C).
    16. 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.
    17. Natália Barbosa, 2024. "Artificial Intelligence and exporting performance:Firm-level evidence from Portugal," GEE Papers 183, Gabinete de Estratégia e Estudos, Ministério da Economia, revised Sep 2024.
    18. 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).
    19. 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).
    20. Bonnini, S. & Borghesi, M. & Giacalone, M., 2024. "Semi-parametric approach for modelling overdispersed count data with application to Industry 4.0," Socio-Economic Planning Sciences, Elsevier, vol. 95(C).

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    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:16:y:2024:i:20:p:9045-:d:1501968. 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.