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  • Search: subject:"Dynamic Random Access Memory"
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Year of publication
Subject
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Dynamic Random Access Memory 3 Dynamics 3 Economies of Scale 3 Learning by Doing 3 Multiproduct Firms 3 Product Life Cycle 3 Semiconductors 2 dynamic random access memory 2 Artificial intelligence 1 DRAM 1 Deep neural network 1 Dynamic random access memory 1 Estimation 1 Fuzzy collaborative intelligence 1 Fuzzy sets 1 Fuzzy weighted intersection 1 Fuzzy-Set-Theorie 1 Künstliche Intelligenz 1 Neural networks 1 Neuronale Netze 1 Product Market Competition 1 Product Market Competition Semiconductors , Spillovers 1 South Korea 1 Spillovers 1 Unit cost 1 complementary assets 1 core technologies 1 dynamics 1 economies of scale 1 innovation strategy 1 latecomers 1 leadership dynamics 1 learning by doing 1 multiproduct firms 1 product life cycle 1 product market competition 1 semiconductor industry 1 semiconductors 1 spillovers 1 technological catch-up 1
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Online availability
All
Free 3 Undetermined 2 CC license 1
Type of publication
All
Book / Working Paper 4 Article 2
Type of publication (narrower categories)
All
Article in journal 1 Aufsatz in Zeitschrift 1 Working Paper 1
Language
All
English 3 Undetermined 3
Author
All
Siebert, Ralph 3 Chen, Toly 1 Ma, Daw 1 Siebert, Ralph Bernd 1 Wang, Yu-Cheng 1 Wu, Hsin-Chieh 1
Institution
All
Abteilung "Wettbewerbsfähigkeit und industrieller Wandel" (WIW), Wissenschaftszentrum Berlin für Sozialforschung (WZB) 1 C.E.P.R. Discussion Papers 1 Volkswirtschaftliche Fakultät, Ludwig-Maximilians-Universität München 1
Published in...
All
CEPR Discussion Papers 1 CIG Working Papers 1 Decision analytics journal 1 International Journal of Technological Learning, Innovation and Development 1 MPRA Paper 1 WZB Discussion Paper 1
Source
All
RePEc 4 ECONIS (ZBW) 1 EconStor 1
Showing 1 - 6 of 6
Cover Image
A novel auto-weighting deep-learning fuzzy collaborative intelligence approach
Wang, Yu-Cheng; Chen, Toly; Wu, Hsin-Chieh - In: Decision analytics journal 6 (2023), pp. 1-11
collaborative intelligence approach to a case of estimating the unit cost of a dynamic random access memory (DRAM) product. We show …
Persistent link: https://ebvufind01.dmz1.zbw.eu/10014506431
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Learning-by-Doing and Cannibalization Effects at Multi-Vintage Firms: Evidence from the Semiconductor Industry
Siebert, Ralph Bernd - Volkswirtschaftliche Fakultät, … - 2010
-level data for the dynamic random access memory semiconductor industry, we find support for cannibalization effects entering …
Persistent link: https://ebvufind01.dmz1.zbw.eu/10008599124
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Innovation strategy and leadership dynamics in a technology-intensive industry: evidence from South Korea
Ma, Daw - In: International Journal of Technological Learning, … 6 (2013) 3, pp. 209-224
In a technology-intensive industry, the evolution of innovation strategy and how latecomers contend and frontrunners sustain leadership is truly a dynamic process. This paper explores this issue in depth in the technology-intensive semiconductor DRAM and attempts to marry the traditional...
Persistent link: https://ebvufind01.dmz1.zbw.eu/10010691762
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Learning by doing and multiproduction effects over the life cycle: evidence from the semiconductor industry
Siebert, Ralph - 2002
measuring learning by doing. Using quarterly firm-level data for the dynamic random access memory semiconductor industry, we …
Persistent link: https://ebvufind01.dmz1.zbw.eu/10010278028
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Cover Image
Learning by Doing and Multiproduction Effects Over the Life Cycle: Evidence from the Semiconductor Industry
Siebert, Ralph - C.E.P.R. Discussion Papers - 2003
measuring learning by doing. Using quarterly firm-level data for the dynamic random access memory semiconductor industry, we …
Persistent link: https://ebvufind01.dmz1.zbw.eu/10005497705
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Cover Image
Learning by Doing and Multiproduction Effects over the Life Cycle: Evidence from the Semiconductor Industry
Siebert, Ralph - Abteilung "Wettbewerbsfähigkeit und industrieller … - 2002
measuring learning by doing. Using quarterly firm-level data for the dynamic random access memory semiconductor industry, we …
Persistent link: https://ebvufind01.dmz1.zbw.eu/10005772879
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