The successful implementation of industry 4.0 in manufacturing: An analysis and prioritization of risks in Irish industry
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DOI: 10.1016/j.techfore.2021.121394
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- Raj, Alok & Dwivedi, Gourav & Sharma, Ankit & Lopes de Sousa Jabbour, Ana Beatriz & Rajak, Sonu, 2020. "Barriers to the adoption of industry 4.0 technologies in the manufacturing sector: An inter-country comparative perspective," International Journal of Production Economics, Elsevier, vol. 224(C).
- Müller, Julian Marius & Buliga, Oana & Voigt, Kai-Ingo, 2018. "Fortune favors the prepared: How SMEs approach business model innovations in Industry 4.0," Technological Forecasting and Social Change, Elsevier, vol. 132(C), pages 2-17.
- S. Prasanna Venkatesan & S. Kumanan, 2012. "Supply chain risk prioritisation using a hybrid AHP and PROMETHEE approach," International Journal of Services and Operations Management, Inderscience Enterprises Ltd, vol. 13(1), pages 19-41.
- Cugno, Monica & Castagnoli, Rebecca & Büchi, Giacomo, 2021. "Openness to Industry 4.0 and performance: The impact of barriers and incentives," Technological Forecasting and Social Change, Elsevier, vol. 168(C).
- Daniel Kiel & Julian M. Müller & Christian Arnold & Kai-Ingo Voigt, 2017. "Sustainable Industrial Value Creation: Benefits And Challenges Of Industry 4.0," International Journal of Innovation Management (ijim), World Scientific Publishing Co. Pte. Ltd., vol. 21(08), pages 1-34, December.
- Hendrik S. Birkel & Johannes W. Veile & Julian M. Müller & Evi Hartmann & Kai-Ingo Voigt, 2019. "Development of a Risk Framework for Industry 4.0 in the Context of Sustainability for Established Manufacturers," Sustainability, MDPI, vol. 11(2), pages 1-27, January.
- Culot, Giovanna & Orzes, Guido & Sartor, Marco & Nassimbeni, Guido, 2020. "The future of manufacturing: A Delphi-based scenario analysis on Industry 4.0," Technological Forecasting and Social Change, Elsevier, vol. 157(C).
- Li Da Xu & Eric L. Xu & Ling Li, 2018. "Industry 4.0: state of the art and future trends," International Journal of Production Research, Taylor & Francis Journals, vol. 56(8), pages 2941-2962, April.
- Wang, Xiaojun & Chan, Hing Kai & Yee, Rachel W.Y. & Diaz-Rainey, Ivan, 2012. "A two-stage fuzzy-AHP model for risk assessment of implementing green initiatives in the fashion supply chain," International Journal of Production Economics, Elsevier, vol. 135(2), pages 595-606.
- Büchi, Giacomo & Cugno, Monica & Castagnoli, Rebecca, 2020. "Smart factory performance and Industry 4.0," Technological Forecasting and Social Change, Elsevier, vol. 150(C).
- Julian M. Müller & Jana Traub & Peter Gantner & Kai-Ingo Voigt & Anne-Laure Mention & Marko Torkkeli, 2020. "Managing Digital Disruption of Business Models in Industry 4.0," World Scientific Book Chapters, in: Pierre-Jean Barlatier & Anne-Laure Mention (ed.), Managing Digital Open Innovation, chapter 3, pages 47-72, World Scientific Publishing Co. Pte. Ltd..
- Sung, Tae Kyung, 2018. "Industry 4.0: A Korea perspective," Technological Forecasting and Social Change, Elsevier, vol. 132(C), pages 40-45.
- Rezaei, Jafar, 2016. "Best-worst multi-criteria decision-making method: Some properties and a linear model," Omega, Elsevier, vol. 64(C), pages 126-130.
- Rezaei, Jafar, 2015. "Best-worst multi-criteria decision-making method," Omega, Elsevier, vol. 53(C), pages 49-57.
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- Li, Zhongshun & Xie, Weihong & Wang, Zhong & Wang, Yongjian & Huang, Danyu, 2023. "Antecedent configurations and performance of business models of intelligent manufacturing enterprises," Technological Forecasting and Social Change, Elsevier, vol. 193(C).
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Keywords
Industry 4.0; Risk factor; Manufacturing; Best-worst method; Irish industry;All these keywords.
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