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  • Search: isPartOf:"Science and innovation"
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Year of publication
Subject
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Innovation 49 Artificial Intelligence 28 Artificial intelligence 28 Data Science 28 Digitalisierung 28 Digitalization 28 Digitization 28 Industry 4.0 28 Künstliche Intelligenz 28 Lieferkette 28 Logistics 28 Logistik 28 Supply Chain Management 28 Supply chain 28 Innovations and Technology 18 Technologiepolitik 18 Technology policy 17 Industrie 4.0 12 Logistics provider 12 Logistikunternehmen 12 Innovationsmanagement 10 Welt 9 World 9 Industrial research 8 Industrieforschung 8 OECD countries 8 OECD-Staaten 8 USA 8 United States 8 Corporate Social Responsibility 7 Corporate social responsibility 7 Forschung 7 Innovation management 7 Research 7 Wissenschaft 7 Wirtschaftswachstum 6 Forschung und Entwicklung 5 Forschungskooperation 5 OECD 5 Science 5
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Online availability
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Free 30 CC license 28 Undetermined 21
Type of publication
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Article 77 Book / Working Paper 19 Journal 10
Type of publication (narrower categories)
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Aufsatz im Buch 59 Book section 59 Conference paper 28 Konferenzbeitrag 28 Graue Literatur 10 Non-commercial literature 10 Amtsdruckschrift 8 Government document 8 Konferenzschrift 5 Aufsatzsammlung 2 Collection of articles of several authors 2 Conference proceedings 2 Sammelwerk 2 Statistics 2 Statistik 2 Arbeitspapier 1 Datensammlung 1 Working Paper 1
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Language
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English 87 Undetermined 19 French 4
Author
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Stephan, Paula E. 3 Antonelli, Cristiano 2 Audretsch, David B. 2 Bertoni, Fabio 2 Croce, Annalisa 2 Fisher, Erik 2 Franzoni, Chiara 2 Geuna, Aldo 2 Grilli, Luca 2 Hughes, Alan 2 Kersten, Wolfgang 2 Klumpp, Matthias 2 Landoni, Paolo 2 Lepori, Benedetto 2 Leten, Bart 2 Llerena, Patrick 2 Macnaghten, Phil 2 Moore, Barry 2 Murtinu, Samuele 2 Piscitello, Lucia 2 Reale, Emanuela 2 Slipersaeter, Stig 2 Ulrichsen, Tomas 2 Varum, Celeste Amorim 2 Verbeet, Richard 2 Agha, Mouhamad Shaker Ali 1 Agrawal, Ajay 1 Agwara, Hezekiah 1 Ahmed, Mohamed 1 Auerswald, Philip E. 1 Bartsch, Devis 1 Baumgärtel, Hartwig 1 Beckmann, Anne 1 Bessant, John R. 1 Bouzeghoub, Amel 1 Branstetter, Lee 1 Bresnahan, Timothy F. 1 Brunner, Uwe 1 Bryant, Kevin 1 Brylowski, Martin 1
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Institution
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OECD 11 Organisation for Economic Co-operation and Development 9 Seminar on Innovation Policy and the Valorisation of Science and Technology in Russia <2001, Helsinki> 2 Australien / Science and Technology Policy Branch 1 Centre for Co-operation with Non-Members 1 OECD / Committee for Scientific and Technological Policy / Working Group on Innovation and Technology Policy 1 Workshop on Genetic Testing <2000, Wien> 1
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Published in...
All
Data science and innovation in supply chain management : how data transforms the value chain 28 Responsible innovation : managing the responsible emergence of science and innovation in society 13 Science and Innovation 11 The changing frontier : rethinking science and innovation policy 11 Science and Innovation Policy for the New Knowledge Economy 7 Science and innovation 7 Science and innovation policy for the new knowledge economy 7 OECD proceedings 3 2001: Science and innovation 2 The international library of critical writings in economics 2 3.2000: OECD outlooks 1 3.2000: Science and innovation 1 Ab 4.2001: Science and innovation 1 Design Science and Innovation 1 Emerging economies transition 1 Measures of science and innovation : a report in a series on Australia's research and technology, and their utilisation 1 Measures of science and innovation : report in a series on Australia's research and technology, and their utilisation 1 OECD science, technology and industry working papers 1 Science, technology and industry outlook 1 Springer eBook Collection 1 Swiss Science and Innovation Council Secretariat Working Paper 3/2015 1
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Source
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ECONIS (ZBW) 76 RePEc 18 USB Cologne (EcoSocSci) 12
Showing 11 - 20 of 106
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Application of agile methods in traditional logistics companies and logistics start-ups: first results from a German Delphi study
Zielske, Malena; Held, Tobias - In: Data science and innovation in supply chain management …, (pp. 187-219). 2020
Purpose: To meet rapidly changing requirements and increasing product complexity, a growing number of traditional companies and startups increases their agility by using agile methods. The logistics industry in particular is known to be a comparatively slow adapter to changes in general, but...
Persistent link: https://www.econbiz.de/10012388021
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How disruptive start-ups change the world of warehouse logistics
Feldt, Julia; Kontny, Henning; Niemietz, Frank - In: Data science and innovation in supply chain management …, (pp. 3-24). 2020
Purpose: New technical solutions in logistics change the ways of working within warehouses on different levels, from warehouse layouts and concepts of goods picking to process planning and human resources. Thus, disrupting the previous practice in its core. Methodology: In order to evaluate the...
Persistent link: https://www.econbiz.de/10012388082
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Product lifecycle optimization by application of process mining
Meßner, Marco; Dirnberger, Johannes - In: Data science and innovation in supply chain management …, (pp. 295-315). 2020
Purpose: Active product life cycle management contributes to supply chain optimization. However, in nowadays industry the high number of variants and backward loops complicate tracing the entire product lifecycle in an ERP system. Consequently, product lifecycle and corresponding...
Persistent link: https://www.econbiz.de/10012388084
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A procedural model for exoskeleton implementation in intralogistics
Feldmann, Carsten; Kaupe, Victor; Lucas, Martin - In: Data science and innovation in supply chain management …, (pp. 113-151). 2020
Purpose: Exoskeletons are robotic devices worn on the human body which mechanically support the operator's muscle skeleton. This study answers the following research question: Given insights drawn from a comprehensive literature analysis and two case studies which concern success factors for...
Persistent link: https://www.econbiz.de/10012388093
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Mastering the supply chain by a concept of a ditigal control-twin
Herlyn, Wilmjakob; Zadek, Hartmut - In: Data science and innovation in supply chain management …, (pp. 661-697). 2020
Purpose: The purpose is to design a new concept for control of the Supply-Chain for the era of industry 4.0 exploiting the huge amount of actual data of material flow objects which are available thru new identification technologies, localization and communication systems and to use appropriate...
Persistent link: https://www.econbiz.de/10012388094
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Improving risk assessment for interdependent urban critical infrastructures
König, Sandra - In: Data science and innovation in supply chain management …, (pp. 279-291). 2020
Purpose: Urban critical infrastructures are highly interdependent not only due to their vicinity but also due to the increasing digitalization. In case of a security incident, both the dynamics inside each infrastructure and interdependencies between them need to be considered to estimate the...
Persistent link: https://www.econbiz.de/10012388098
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Realization and validation of a collaborative automated picking system
Rieder, Mathias; Verbeet, Richard - In: Data science and innovation in supply chain management …, (pp. 521-558). 2020
Purpose: A picking system is presented ensuring order fulfilment and enabling transformation from manual to automated picking using a continuous learning process. It is based on Machine Learning for object detection and realized by a human-robot collaboration to meet requirements for flexibility...
Persistent link: https://www.econbiz.de/10012388108
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Impact of digitalization on logistics provider business models
Stradner, Sascha; Brunner, Uwe - In: Data science and innovation in supply chain management …, (pp. 911-938). 2020
Purpose: Digitalization and its technologies enables especially logistics startups to enter the market with low barriers. Well-established enterprises potentially suffer from this development by overlooking the ongoing technological leap. Therefore, the paper includes a research to point out...
Persistent link: https://www.econbiz.de/10012388112
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Building a virtual maritime logistics cybersecurity training platform
Pyykkö, Harri; Kuusijärvi, Jarkko; Noponen, Sami; … - In: Data science and innovation in supply chain management …, (pp. 223-246). 2020
Purpose: This paper proposes how cyber ranges, which are simulation environments and platforms, can be used for cybersecurity training to reduce the vulnerability surface of the maritime supply chain caused by cyberthreat challenges. An additional benefit to conducting exercises for personnel...
Persistent link: https://www.econbiz.de/10012388126
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A systematic classification of database solutions for data mining to support tasks in supply chains
Hunker, Joachim; Scheidler, Anne Antonia; Rabe, Markus - In: Data science and innovation in supply chain management …, (pp. 395-425). 2020
Purpose: Our research shows that considering well suited NoSQL databases is beneficial for logistics tasks. For answering tasks we rely on the widespread methods of Data Mining. We stress that using relational databases as basis for Data Mining tools cannot cope with the growing amount of data...
Persistent link: https://www.econbiz.de/10012388130
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