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Investigating changes of total quality management principles in the context of Industry 4.0: Viewpoint from an emerging economy

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  • Canbay, Kamile
  • Akman, Gulsen

Abstract

Industry 4.0 will radically affect Total Quality Management (TQM) practices and principles, which are still widely used in businesses and one of the management practices. Some TQM principles, with the developed technology and systems, have become “natural management principles” whose application in the organization is fully guaranteed and the system is made to exist on its own. While some principles become easier to implement, some TQM principles and practices may need to be repositioned in terms of business management. For this reason, in this study, after a comprehensive TQM and Industry 4.0 literature research and analysis, the situation and interaction of TQM principles in enterprises that implement Industry 4.0 (I4.0), both a modeling and a survey study were made within the framework of ISO 9001:2015 TQM Principles to determine the changes in TQM principles in the I4.0 environment. Statistical analyses were performed determining relationship among TQM principles and direction of these relationships. In addition, the fuzzy DEMATEL method was applied to determine the interactions of TQM principles in the I4.0 environment. As a result, evidence-based decision making, continuous improvement and process management principles are applied much more easily with I4.0, the principles of leadership and employee participation continue to develop.

Suggested Citation

  • Canbay, Kamile & Akman, Gulsen, 2023. "Investigating changes of total quality management principles in the context of Industry 4.0: Viewpoint from an emerging economy," Technological Forecasting and Social Change, Elsevier, vol. 189(C).
    • Handle: RePEc:eee:tefoso:v:189:y:2023:i:c:s0040162523000434
    DOI: 10.1016/j.techfore.2023.122358
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    References listed on IDEAS

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    1. Saule Ospandiyarovna Akhmetova & Lyazzat Kemerbekovna Baibolova & Mira Serikovna Serikkyzy, 2019. "Integrated quality management system for food production: a case of dairy products' enterprise," Entrepreneurship and Sustainability Issues, VsI Entrepreneurship and Sustainability Center, vol. 6(4), pages 1807-1822, June.
    2. Sheng-Li Si & Xiao-Yue You & Hu-Chen Liu & Ping Zhang, 2018. "DEMATEL Technique: A Systematic Review of the State-of-the-Art Literature on Methodologies and Applications," Mathematical Problems in Engineering, Hindawi, vol. 2018, pages 1-33, January.
    3. Elibal, Kerem & Özceylan, Eren, 2022. "Comparing industry 4.0 maturity models in the perspective of TQM principles using Fuzzy MCDM methods," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
    4. Vasja Roblek & Maja Meško & Alojz Krapež, 2016. "A Complex View of Industry 4.0," SAGE Open, , vol. 6(2), pages 21582440166, June.
    5. 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.
    6. Anil Kumar & Manoj Kumar Dash, 2016. "Using DEMATEL to construct influential network relation map of consumer decision-making in e-marketplace," International Journal of Business Information Systems, Inderscience Enterprises Ltd, vol. 21(1), pages 48-72.
    7. Sang-Bing Tsai & Min-Fang Chien & Youzhi Xue & Lei Li & Xiaodong Jiang & Quan Chen & Jie Zhou & Lei Wang, 2015. "Using the Fuzzy DEMATEL to Determine Environmental Performance: A Case of Printed Circuit Board Industry in Taiwan," PLOS ONE, Public Library of Science, vol. 10(6), pages 1-18, June.
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    Cited by:

    1. Che, Tong & Cai, Jingxuan & Yang, Rui & Lai, Fujun, 2023. "Digital transformation drives product quality improvement: An organizational transparency perspective," Technological Forecasting and Social Change, Elsevier, vol. 197(C).

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