Foreign Subsidiaries in the East German Innovation System – Evidence from Manufacturing Industries

This paper analyses the extent of technological capability of foreign subsidiaries located in East Germany, and looks at the determinants of foreign subsidiaries’ technological sourcing behaviour. The theory of international production underlines the importance of strategic and regional level variables. However, existing empirical approaches omit by and large regional level factors. We employ survey evidence from the “FDI micro data- base” of the IWH, that was only recently made available, to conduct our analyses. We find that foreign subsidiaries are above average technologically active in comparison to the whole East German manufacturing. This can be partially explained by the industrial structure of foreign direct investment. However, only a limited share of foreign subsidiaries with R&D and/or innovation activity source technological knowledge from the East German innovation system. If a subsidiary follows a competence augmenting strategy or does local trade, it is more likely to source technological knowledge locally. The endowment of a region with human capital and a scientific infrastructure has a positive effect too. The findings suggest that foreign subsidiaries in East Germany are only partially linked with the regional innovation system. Policy implications are discussed.east germany, regional innovation system, foreign direct investment

Keplers Traum vom Mond / von Ludwig Günther. Digitale Ausgabe erstellt von Gabriele Dörflinger

Johannes Keplers (1571-1630) utopische Erzählung "Der Traum vom Mond" wurde 1634 posthum durch seinen Sohn Ludwig publiziert. Die Übersetzung von Ludwig Günther (1846-1910) erschien 1898 bei Teubner in Leipzig. Sie umfasst neben dem eigentlichen Text noch Notizen Keplers und ausführliche Kommentare des Übersetzers. Diese Kommentare stellen selbst wieder ein Stück Wissenschaftsgeschichte dar: sie spiegeln den Wissens- und Technikstand am Ende des 19. Jahrhunderts, als noch der Ballonflug die neueste Errungenschaft war

Identification and Analysis of Patterns of Machine Learning Systems in the Connected, Adaptive Production

Over the past six decades, many companies have discovered the potential of computer-controlled systems in the manufacturing industry. Overall, digitization can be identified as one of the main drivers of cost reduction in the manufacturing industry. However, recent advances in Artificial Intelligence indicate that there is still untapped potential in the use and analysis of data in industry. Many reports and surveys indicate that machine learning solutions are slowly adapted and that the process of implementation is decelerated by inefficiencies. The goal of this paper is the systematic analysis of successfully implemented machine learning solutions in manufacturing as well as the derivation of a more efficient implementation approach. For this, three use cases have been identified for in-depth analysis and a framework for systematic comparisons between differently implemented solutions is developed. In all three use cases it is possible to derive implementation patterns as well as to identify key variables which determine the success of implementation. The identified patterns show that similar machine learning problems within the same use case can be solved with similar solutions. The results provide a heuristic for future implementation attempts tackling problems of similar nature