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The Key Factors of the Industrial Revolution 4.0 in the Malaysian Smart Manufacturing Context

Author

Listed:
  • Mohd Syaiful Rizal Abd Hamid

    (Universiti Teknikal Malaysia Melaka, Malaysia)

  • Nor Ratna Masrom

    (Universiti Teknikal Malaysia Melaka, Malaysia)

  • Nur Athirah Binti Mazlan

    (Universiti Teknikal Malaysia Melaka, Malaysia)

Abstract

IR 4.0 is a new phase for the current trend of automation and data exchange in manufacturing industry that focuses on cloud computing, interconnectivity, the Internet of Things, machine learning, cyber physical learning and creating smart factory. The purpose of this article was to unveil the key factors of the IR 4.0 in Malaysian smart manufacturing context. Two key data collection methods were used: (1) primary data from the face-to-face interview (2) secondary data from the previous study. Significantly, five key factors of IR 4.0 consider for this study. Autonomous production lines, smart manufacturing practices, data challenge, process flexibility, and security. As a result, IR 4.0 for quality management practices might get high impact for the best performance assessment, which addressed in various ways; there are few studies in this area have been conducted in Malaysian manufacturing sector, and to recommend the best practices implemented from the managers’ perspectives. For scholars, this enhances their understanding and highlight opportunities for further research.

Suggested Citation

  • Mohd Syaiful Rizal Abd Hamid & Nor Ratna Masrom & Nur Athirah Binti Mazlan, 2022. "The Key Factors of the Industrial Revolution 4.0 in the Malaysian Smart Manufacturing Context," International Journal of Asian Business and Information Management (IJABIM), IGI Global, vol. 13(2), pages 1-19, August.
    • Handle: RePEc:igg:jabim0:v:13:y:2022:i:2:p:1-19
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    References listed on IDEAS

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    1. Henning Kagermann, 2015. "Change Through Digitization—Value Creation in the Age of Industry 4.0," Springer Books, in: Horst Albach & Heribert Meffert & Andreas Pinkwart & Ralf Reichwald (ed.), Management of Permanent Change, edition 127, chapter 2, pages 23-45, Springer.
    2. Constantiou, Ioanna D & Kallinikos, Jannis, 2015. "New games, new rules: big data and the changing context of strategy," LSE Research Online Documents on Economics 63017, London School of Economics and Political Science, LSE Library.
    3. Andrei Diamandescu, 2016. "The Significance of Total Quality Management Principles in Industrial Organizations," Global Economic Observer, "Nicolae Titulescu" University of Bucharest, Faculty of Economic Sciences;Institute for World Economy of the Romanian Academy, vol. 4(2), pages 92-99, November.
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    Cited by:

    1. Kashif Ali & Satirenjit Kaur Johl & Amgad Muneer & Ayed Alwadain & Rao Faizan Ali, 2022. "Soft and Hard Total Quality Management Practices Promote Industry 4.0 Readiness: A SEM-Neural Network Approach," Sustainability, MDPI, vol. 14(19), pages 1-23, September.
    2. Humairath Abu Bakar & Rozilawati Razali & Dian Indrayani Jambari, 2022. "A Qualitative Study of Legacy Systems Modernisation for Citizen-Centric Digital Government," Sustainability, MDPI, vol. 14(17), pages 1-20, September.

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