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Enriching Artificial Intelligence Explanations with Knowledge Fragments
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In: Future Internet; Volume 14; Issue 5; Pages: 134 (2022)
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i-Dataquest: A heterogeneous information retrieval tool using data graph for the manufacturing industry
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In: ISSN: 0166-3615 ; Computers in Industry ; https://hal.archives-ouvertes.fr/hal-03330584 ; Computers in Industry, Elsevier, 2021, 132, pp.103527. ⟨10.1016/j.compind.2021.103527⟩ (2021)
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Retrospective Study of Inspectors Competency in the Act of Writing GMP Inspection Report
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In: BIRS Africa Technical Reports (2021)
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A novel hybrid multi-criteria group decision making approach for failure mode and effect analysis: An essential requirement for sustainable manufacturing
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A model for ITIS project portfolio selection in the presence of uncertainty Combination of fuzzy multi-criteria decision making and fuzzy mathematical programming ...
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A model for ITIS project portfolio selection in the presence of uncertainty Combination of fuzzy multi-criteria decision making and fuzzy mathematical programming ...
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Micro-work, artificial intelligence and the automotive industry
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In: ISSN: 0391-2078 ; EISSN: 1972-4977 ; Journal of Industrial and Business Economics = Economia e politica industriale ; https://hal.archives-ouvertes.fr/hal-02148979 ; Journal of Industrial and Business Economics = Economia e politica industriale, Springer, 2019, pp.1-13. ⟨10.1007/s40812-019-00121-1⟩ ; https://link.springer.com/article/10.1007/s40812-019-00121-1 (2019)
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Multi-Objective Service Selection and Scheduling with Linguistic Preference in Cloud Manufacturing
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In: Sustainability ; Volume 11 ; Issue 9 (2019)
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Hesitant Fuzzy Linguistic Term and TOPSIS to Assess Lean Performance
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In: Applied Sciences ; Volume 9 ; Issue 5 (2019)
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The Emergence and Rise of Industry 4.0 Viewed through the Lens of Management Fashion Theory
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In: Administrative Sciences ; Volume 9 ; Issue 3 (2019)
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Abstract:
The Industry 4.0 (I4.0) concept is concerned with the fourth industrial revolution in manufacturing, in which technological trends such as digitalization, automation and artificial intelligence are transforming production processes. Since the concept&rsquo ; s introduction at the Hannover Fair in Germany in 2011, I4.0 has enjoyed a meteoric rise in popularity and is currently high on the agenda of governments, politicians and business elites. In light of these observations, some commentators have asked the question of whether I4.0 is a concept that is hyped up and possibly just the latest in a long line of fashionable management concepts introduced over the course of the last few decades. Therefore, the aim of this paper is to provide a critical outside-in look at the emergence and rise of I4.0. Theoretically, these processes are viewed through the lens of management fashion, a theoretical perspective well suited to examinations of evolutionary trajectories of management concepts and ideas. The findings indicate that the I4.0 concept has quickly become highly popular and is dominating much of the popular management discourse. The concept has migrated out of the specialized manufacturing discourse to become a more general concept with mainstream appeal and applicability, evidenced by a multitude of neologisms such as Work 4.0 and Innovation 4.0. The numbers 4.0 have spread in a meme-like fashion, evidenced by the fact that the combination of a noun and the numbers 4.0 are used to signal and usher in discussions about the future of business and society. While there is much evidence that clearly shows that the concept has had a wide-ranging impact at the discursive level, the currently available research is less clear about what impact the concept has had so far on industries and organizations worldwide.
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Keyword:
fourth industrial revolution; industrial production; Industry 4.0; management concept; management fashion; manufacturing; popularity
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URL: https://doi.org/10.3390/admsci9030071
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The emergence and rise of industry 4.0 viewed through the lens of management fashion theory
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Multi-Stage Multi-Period Production Planning In Wire And Cable Industry ...
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Multi-Stage Multi-Period Production Planning In Wire And Cable Industry ...
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imbWBI: Classification of Business Entities on Multilingual Web: configuration optimization, auxiliary experimental reports and other resources ...
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imbWBI: Classification of Business Entities on Multilingual Web: configuration optimization, auxiliary experimental reports and other resources ...
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imbWBI: Classification of Business Entities on Multilingual Web - The Main Results ...
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imbWBI: Classification of Business Entities on Multilingual Web - The Main Results ...
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Delphi Prospection on Additive Manufacturing in 2030: Implications for Education and Employment in Spain
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In: Materials ; Volume 11 ; Issue 9 (2018)
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Designing Efficient Material Handling Systems Via Automated Guided Vehicles (AGVs)
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