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1
Enriching Artificial Intelligence Explanations with Knowledge Fragments
In: Future Internet; Volume 14; Issue 5; Pages: 134 (2022)
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2
i-Dataquest: A heterogeneous information retrieval tool using data graph for the manufacturing industry
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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3
Micro-work, artificial intelligence and the automotive industry
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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4
The Emergence and Rise of Industry 4.0 Viewed through the Lens of Management Fashion Theory
In: Administrative Sciences ; Volume 9 ; Issue 3 (2019)
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.
Keyword: fourth industrial revolution; industrial production; Industry 4.0; management concept; management fashion; manufacturing; popularity
URL: https://doi.org/10.3390/admsci9030071
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5
The emergence and rise of industry 4.0 viewed through the lens of management fashion theory
Madsen, Dag Øivind. - : Basel: MDPI, 2019
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6
Multi-Stage Multi-Period Production Planning In Wire And Cable Industry ...
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7
Multi-Stage Multi-Period Production Planning In Wire And Cable Industry ...
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8
SM01: Research sample subsets ...
Grubić, Goran. - : Mendeley, 2017
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9
SM01: Web Crawling with JLC parallel execution pattern - experiment reports ...
Grubić, Goran. - : Mendeley, 2017
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10
SM01: Preliminary Survey findings and structure graphs ...
Grubić, Goran. - : Mendeley, 2017
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11
SM01: Web crawler benchmark QES15 and QES30 experiments results ...
Grubić, Goran. - : Mendeley, 2017
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12
SM01: Web Crawling with DLC parallel execution pattern - experiment reports ...
Grubić, Goran. - : Mendeley, 2017
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13
SM01: Linguistic Resources - the Semantic Lexicon of Serbian Sheet Metal Manufacturing Web ...
Grubić, Goran. - : Mendeley, 2017
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14
Green supply chain performance measurement using fuzzy-ANP based balanced scorecard: A collaborative decision-making approach
In: Bhattacharya, Arijit, Mohapatra, Priyabrata, Kumar, Vikas orcid:0000-0002-8062-7123 , Dey, Prasanta Kumar, Brady, Malcolm orcid:0000-0002-4276-3976 , Tiwari, Manoj Kumar and Nudurupati, Sai S. (2014) Green supply chain performance measurement using fuzzy-ANP based balanced scorecard: A collaborative decision-making approach. Production Planning & Control: The Management of Operations, 25 (8). pp. 698-714. ISSN 1366-5871 (2014)
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15
In search of sustainable materials: negotiating materiality and morality in the UK materials industry
Wilkes, SE. - : UCL (University College London), 2014
In: Doctoral thesis, UCL (University College London). (2014)
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16
Using the Feature Exchange Language in the Next Generation Controller
In: DTIC AND NTIS (1990)
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