34,985 research outputs found
Managing Expatriation, Repatriation and Organisational Learning in MNCs: an Integrative Framework
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
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
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
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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