Competitiveness, productivity and externalization: Food versus autos in Catalonia

This paper re-examines the innovation-productivity nexus on the basis of a paired comparison between Catalonia's food and auto sectors. The sectoral studies expose a set of productivity enhancement mechanisms that do not involve innovation in the sense of anything new to the world, that are grouped under the rubric of renovation and comprise: - Reaching efficient scale - Rectifying (other) obvious internal deficiencies - Replicating or imitating innovations, techniques, etc., developed by others - Replacement of inefficient incumbents by more efficient entrants - Redeployment of resources across sectors The paper also discusses the implications of this broader perspective for industrial policy, and for internationalization.Productivity; Innovation; Industrial Policy; Internationalization; Globalization; Strategy;

Organizational tension between static and dynamic efficiency, The

Efficiency has been defined in at least two different ways: in terms of the refinement of existing products, processes or capabilities (static efficiency) or the development of new ones (dynamic efficiency). This paper analyzes the organizational trade-off between these two forms of efficiency. It shows that there is a tendency towards extremes, and that the irreversibility of efficiency orientations tends to tip the balance to be struck between static and dynamic efficiency toward the latter. The paper also advances hypotheses about the industry, business and corporate factors that mediate between the choice of a particular efficiency orientation and organizational performance.organizational trade-off; efficiency;

Dynamic mixed duopoly: A model motivated by Linux vs. Windows

This paper analyzes a dynamic mixed duopoly in which a profit-maximizing competitor interacts with a competitor that prices at zero (or marginal cost), with the cumulation of output affecting their relative positions over time. The modeling effort is motivated by interactions between Linux, an open-source operating system, and Microsoft's Windows in the computer server segment, and consequently emphasizes demand-side learning effects that generate dynamic scale economies (or network externalities). Analytical characterizations of the equilibrium under such conditions are offered, and some comparative static and welfare effects are examined.open-source software; network effects; microsoft; linux; competitive dynamics; strategy;

Rethinking regional competitiveness: Catalonia's international and interregional trade, 1995-2006

Studies of competitiveness tend to focus on a local economy's global interactions, particularly its international trade. But for countries that are at least mid-sized (such as Spain), interregional trade tends to be as large as or significantly larger than international trade. The case of Catalonia illustrates the importance of interregional flows in truly analyzing and devising strategies for a region's external competitiveness. Accounting for interregional trade changes and performing analyses of Catalonia's overall merchandise trade balance, which sectors generate external surpluses as opposed to deficits, and who Catalonia's key trading partners are, and the use of a gravity-model approach to estimate external border effects at the regional level for Catalonia and the rest of Spain, reveal significant variations by sector and by trading partner, generally higher external border effects for exports than imports, and declines in border effects over time - but with a discernible flattening in recent years.Border Effect; Gravity Model; Interregional trade; transport flows;

Towards Distributed Convoy Pattern Mining

Mining movement data to reveal interesting behavioral patterns has gained attention in recent years. One such pattern is the convoy pattern which consists of at least m objects moving together for at least k consecutive time instants where m and k are user-defined parameters. Existing algorithms for detecting convoy patterns, however do not scale to real-life dataset sizes. Therefore a distributed algorithm for convoy mining is inevitable. In this paper, we discuss the problem of convoy mining and analyze different data partitioning strategies to pave the way for a generic distributed convoy pattern mining algorithm.Comment: SIGSPATIAL'15 November 03-06, 2015, Bellevue, WA, US

The geography of British exports: country-level versus firm-level evidence

This study investigates the degree of regionalization of UK exporters. The firm-level findings, based on an original set of primary data of 356 UK exporters, are contrasted with the UK national trade flows as well as with the geographic spread of the UK, European and the world's largest MNEs. The analysis produced consistent findings of regionalization regardless of the classification thresholds or sales matrices employed. The findings also imply that country-level data supports the firm-level findings of regionalization. White the analysis presents relatively strong corroborating evidence of regionalization of UK exports, it also indicates that UK exporters might be more multi-regional and global oriented than previously thought. (C) 2009 Elsevier Ltd. ALL rights reserved

Choice Interactions and Business Strategy

Choice settings are strategic to the extent that they entail cross-sectional or intertemporal linkages. These same factors may impose daunting demands on decision makers. We develop a graph-theoretic generalization of the NK model of fitness landscapes to model the way in which policy choices may be more or less strategic. We use this structure to examine, through simulation, how fully articulated a strategy or set of policy choices must be to achieve a high level of performance and how feasible it is to offset past strategic mistakes through tactical adjustments (instead of alignment). Our analysis highlights the role of asymmetry in the interaction of strategic choices and in particular the degree to which choices vary in terms of being influential, dependent, or autonomous from other choices

New frontiers in international strategy

This paper is based on a panel we organized at the "First Annual Conference on Emerging Research Frontiers in International Business Studies", organized by the Journal of International Business Studies (JIBS), to discuss several new lines of research in international strategy. Four lines of research are developed: The strategic implications of semiglobalization, the impact of institutional voids in international strategy, primitives and levels of analysis in international business, and strategies for the base of the pyramid. Taken together, these studies aim to open a new frontier in our understanding of International Strategy, based on the co-location of firms as places and a key element in international business.international business; semiglobalization; internal strategy; base pyramid; institutions; competitiveness;

Competitiveness and interregional as well as international trade: The case of Catalonia

Recent years have seen a surge of interest among industrial organization economists in using data on international trade flows as windows into competitiveness. For countries that are at least mid sized (e g., Spain), interregional trade tends to be as large as or significantly larger than international trade. The case of Catalonia, a Spanish region, illustrates how ignoring interregional flows can lead to erroneous inferences about a region's external competitiveness. Accounting for Catalonia's interregional as well as international flows shifts what is generally assessed to be a chronic trade deficit in goods into a surplus and changes diagnoses of which Catalan sectors generate external surpluses and who its key trading partners are. We also use a gravity model approach to estimate international border effects for Catalonia.Requena acknowledges financial support from the Spanish Ministry of Science and Innovation (project number ECO 2008 04059/ECON). Llano acknowledges financial support from the Education Department of the Regional Government of Madrid (project TransporTrade S2007/ HUM/49

Dynamic Control Flow in Large-Scale Machine Learning

Many recent machine learning models rely on fine-grained dynamic control flow for training and inference. In particular, models based on recurrent neural networks and on reinforcement learning depend on recurrence relations, data-dependent conditional execution, and other features that call for dynamic control flow. These applications benefit from the ability to make rapid control-flow decisions across a set of computing devices in a distributed system. For performance, scalability, and expressiveness, a machine learning system must support dynamic control flow in distributed and heterogeneous environments. This paper presents a programming model for distributed machine learning that supports dynamic control flow. We describe the design of the programming model, and its implementation in TensorFlow, a distributed machine learning system. Our approach extends the use of dataflow graphs to represent machine learning models, offering several distinctive features. First, the branches of conditionals and bodies of loops can be partitioned across many machines to run on a set of heterogeneous devices, including CPUs, GPUs, and custom ASICs. Second, programs written in our model support automatic differentiation and distributed gradient computations, which are necessary for training machine learning models that use control flow. Third, our choice of non-strict semantics enables multiple loop iterations to execute in parallel across machines, and to overlap compute and I/O operations. We have done our work in the context of TensorFlow, and it has been used extensively in research and production. We evaluate it using several real-world applications, and demonstrate its performance and scalability.Comment: Appeared in EuroSys 2018. 14 pages, 16 figure