Analysis of industry 4.0 technologies’ adoption using interpretive structural modelling: empirical findings from manufacturing sector in Turkey

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OmerOzturk_Thesis.pdf

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2023-1

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Öztürk, Ömer

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Emerging disruptive technologies, especially big data, the internet of things (IoT), cloud, cyber-physical systems, and 3D printing technologies, led to the emergence of a new industrial era called industry 4.0. The concept of industry 4.0, which emerged at the technology fair held in Germany in 2011, has established its foundations on increasing productivity in the industry and the digitalization of systems. Although industry 4.0 technologies have various benefits for the manufacturing sector, various difficulties may arise in the adaptation of these technologies. The aim of this thesis is to conduct a detailed study on the industry 4.0 revolution, to reveal the obstacles that may arise during the application of industry 4.0 technologies to the Turkish manufacturing sector, and to guide the managers who want to implement industry 4.0 applications in this direction, thanks to the roadmap obtained after the findings. Interpretive Structural Modeling (ISM) technique was used while establishing the relationship between the barriers in front of industry 4.0 adaptation. Thanks to ISM, the relationships between the barriers in front of industry 4.0 have been determined. This study will support managers in producing solutions that will reduce the impact of barriers to industry 4.0 adaptation.

Subject Keywords

Industry 4.0, Interpretive structural modelling, Barrier, Adoption

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https://hdl.handle.net/11511/102145

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Graduate School of Informatics, Thesis

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Citation Formats

Ö. Öztürk, “Analysis of industry 4.0 technologies’ adoption using interpretive structural modelling: empirical findings from manufacturing sector in Turkey,” M.S. - Master of Science, Middle East Technical University, 2023.