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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 1 - 10 of 106
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Product modularization in integrated supply chains : a product life-cycle phase specific concept for effect allocation
Brylowski, Martin; Ludwig, Maximilian; Kersten, Wolfgang; … - In: Data science and innovation in supply chain management …, (pp. 25-76). 2020
Purpose: Product modularization and supply chain integration have establishedthemselves as efficient methods for complexity management, but a holistic view oftheir effects has rarely been studied. For this reason, we demonstrate a conceptwhich presents these effects along the product life-cycle...
Persistent link: https://www.econbiz.de/10012387162
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Enhancing B2B supply chain traceability using smart contracts and IoT
Ahmed, Mohamed; Taconet, Chantal; Ould, Mohamed; … - In: Data science and innovation in supply chain management …, (pp. 559-589). 2020
Purpose: The management of B2B supply chains that involve many stakeholders re-quires traceability processes. Those processes need to be secured. Furthermore, quality traceability data has to be transparently shared among the stakeholders. In order to improve the traceability process, we propose...
Persistent link: https://www.econbiz.de/10012387382
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Blockchain technology in Germany : an excerpt of real use cases in logistics industry
Bartsch, Devis; Winkler, Herwig - In: Data science and innovation in supply chain management …, (pp. 699-735). 2020
Purpose: Due to the large number of intermediaries in logistics networks there is avariety of possible failures, frictions and waste of time and money among the logisticsprocess chain. With the ability to provide data securely in near real-time, liketrack and tracing data of goods to every...
Persistent link: https://www.econbiz.de/10012387383
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Success factors for online food retail logistics
Beckmann, Anne; Kleineidam, Julia; Straube, Frank - In: Data science and innovation in supply chain management …, (pp. 852-873). 2020
Purpose: While e-commerce in general has been growing rapidly for years, food e-commerce is lagging behind in Germany. The common approach of using traditional logistics systems and fulfilment concepts does not lead to long-term success. Con-sidering this problem, success factors are needed as a...
Persistent link: https://www.econbiz.de/10012387384
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A holistic digitalization KPI framework for the aerospace industry
Krol, Felix; Saeed, Muhammad Amad; Kersten, Wolfgang - In: Data science and innovation in supply chain management …, (pp. 798-847). 2020
Purpose: The aerospace supply chain is characterized by a high degree of small andmedium-sized suppliers. To stay competitive, suppliers are facing high pressures todigitalize their business but have limited resources available. Furthermore, aerospacesuppliers lack a framework to measure their...
Persistent link: https://www.econbiz.de/10012387385
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Impact of notification time on risk mitigation in inland waterway transport
Gast, Johannes; Wehrle, Rebecca; Wiens, Marcus; … - In: Data science and innovation in supply chain management …, (pp. 247-278). 2020
Purpose: Transport infrastructures form the backbone of today's interconnected real economy. Interruptions in the availability of these critical infrastructures occur, among other things, due to maintenance operations. Since companies and Supply Chains are dependent on planning security, an...
Persistent link: https://www.econbiz.de/10012387386
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Blockchain technology : integration in supply chain processes
Gürpinar, Tan; Harre, Sophie; Henke, Michael; Saleh, Farah - In: Data science and innovation in supply chain management …, (pp. 153-185). 2020
Purpose: Supply chain networks face an increasing demand to integrate globally distributedcustomers and suppliers. As supply chain processes are deemed to lack sufficienttransparency and security, blockchain solutions are piloted to offer an IT infrastructurecovering these needs. This paper aims...
Persistent link: https://www.econbiz.de/10012387387
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Supply chain planning in the food industry
Stüve, David; Meer, Robert van der; Lütke Entrup, Matthias - In: Data science and innovation in supply chain management …, (pp. 317-353). 2020
Purpose: Advanced Planning Systems (APS) can contribute to improved decision-making and enhanced efficiency along complex food supply chains. This paper presents a systematic literature review of supply chain planning (SCP) in the food industry. In particular, the literature on three...
Persistent link: https://www.econbiz.de/10012387949
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Impacts of a smart factory on procurement logistics
Zander, Bennet; Lange, Kerstin; Haasis, Hans-Dietrich - In: Data science and innovation in supply chain management …, (pp. 459-485). 2020
Purpose: In order to keep up with the automation Smart Factories will bring into the market, procurement logistics has to be redesigned to ensure self-organizing production. The purpose of this paper is to examine the future changes of the procurement processes as well as the further role of...
Persistent link: https://www.econbiz.de/10012388001
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Evaluation of data quality in dimensioning capacity
Vliegen, Lea; Moroff, Nikolas Ulrich; Riehl, Katharina - In: Data science and innovation in supply chain management …, (pp. 355-394). 2020
Purpose: This paper aims to give an overview of the current state of research on measuring data quality. The identified methods will be applied to the task of dimensioning capacities (e.g. warehouse capacities) in the field of supply chain design (SCD) to further increase trust in decision...
Persistent link: https://www.econbiz.de/10012388018
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