34,985 research outputs found

    Managing Expatriation, Repatriation and Organisational Learning in MNCs: an Integrative Framework

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    In the expanding global economy knowledge has became one of the most strategically-significant resource, so that firms’ competitive advantage depends, more and more, on their ability to create, transfer and protect knowledge asset. Since very few firms are able to develop a wide range of knowledge internally, expatriation and repatriation may be considered as important sources of competitive advantage, thanks to the huge amount of knowledge, both tacit and explicit, that corporate may acquire by managing the cycle. Prior researches mainly investigated the intra-organisational knowledge transfer – from headquarter to subsidiaries – allowed by the expatriates. Very few studies, on the contrary, focused on the “reverse” process – from the subsidiaries to headquarter. According to this, we aim at deeply investigate the conditions upon which intra-organisational knowledge transfer may occur, and corporate learning process may be fostered, as well. In doing so, we focus on the entire expatriate-repatriate cycle, assuming that the effectiveness of knowledge transfer depend on the way the whole process is managed. An integrative theoretical model will be finally suggested, and recommendations for further researches will be proposed.multinational; expatriation; repatriation; knowledge transfer; organisational learning.

    DeepLOB: Deep Convolutional Neural Networks for Limit Order Books

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    We develop a large-scale deep learning model to predict price movements from limit order book (LOB) data of cash equities. The architecture utilises convolutional filters to capture the spatial structure of the limit order books as well as LSTM modules to capture longer time dependencies. The proposed network outperforms all existing state-of-the-art algorithms on the benchmark LOB dataset [1]. In a more realistic setting, we test our model by using one year market quotes from the London Stock Exchange and the model delivers a remarkably stable out-of-sample prediction accuracy for a variety of instruments. Importantly, our model translates well to instruments which were not part of the training set, indicating the model's ability to extract universal features. In order to better understand these features and to go beyond a "black box" model, we perform a sensitivity analysis to understand the rationale behind the model predictions and reveal the components of LOBs that are most relevant. The ability to extract robust features which translate well to other instruments is an important property of our model which has many other applications.Comment: 12 pages, 9 figure

    Exporting, externalities, and technology transfer

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    Developed-country purchasers of exports from developing-country industrial firms have often provided considerable technical aid to the exporting firms. Some question the benefits to both OECD and developing country firms of such transfers. The authors developed a model to analyze the implications of diffusion of the transferred technology to other developing country firms and the impact of the market entry of additional firms. Surprisingly, diffusion upstream combined with entry downstream may increase the profits of both the OECD importer and its initial developing-country supplier because the diffusion increases competition both upstream and downstream. The intuition isthat a firm does not necessarily lose from competition in its market so long as its buyer/supplier is also forced to behave more competitively as a result of diffusion. A limited amount of increased competition at both stages moves the two firms closer to a vertically integrated firm.ICT Policy and Strategies,Environmental Economics&Policies,Markets and Market Access,General Technology,Economic Theory&Research,Environmental Economics&Policies,Economic Theory&Research,General Technology,ICT Policy and Strategies,Markets and Market Access

    Information Technology Platforms: Definition and Research Directions

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    The concept of an information technology (IT) related platform is broad and covers phenomena ranging from the operating system Linux to the Internet. Such platforms are of increasing importance to innovation and value creation across many facets of industry and daily life. There is, however, a lack of common understanding in both research and industry about what is mean by the term platform when related to IT. This lack of consensus is detrimental to research and knowledge development. Thus, the aims of this study are to: (i) provide a sound definition of the IT-platform concept by identifying its distinguishing dimensions; and (ii) identify important current research directions for the IT-platform concept. To achieve these aims a systematic literature review was undertaken with 133 relevant articles taken from major information systems journals, conferences, and business publications. The study contributes by providing a sound base for future research into IT-platforms.Comment: Research-in-progress ISBN# 978-0-646-95337-3 Presented at the Australasian Conference on Information Systems 2015 (arXiv:1605.01032
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