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Santarelli E.,University of Bologna | Tran H.T.,Vietnam University of Commerce
Growth and Change | Year: 2012

This paper analyzes the relationship between the performance of incumbent firms the net entry of new firms by combining various theoretical views of entrepreneurship. Different regression models to treat dynamics endogeneity issues are applied to test the research hypothesis with regional micro-data for 61 Vietnamese provinces from 2000 to 2008. The main finding is that net entry is associated with the performance of incumbent firms the overall performance of the economy. Incumbents' growth gross domestic product growth induce changes in the existing production system stimulate the creation of an economic environment more favourable to new firm formation. Consistent with the hypotheses put forward within the "knowledge spillover," the "error-correction," other approaches, incumbents may generate new entrepreneurial opportunities not only for themselves but also for the whole society. © 2012 Wiley Periodicals, Inc. Source


Tran H.-V.,Hanoi University of Science and Technology | Le C.-L.,Hanoi University of Science and Technology | Nguyen Q.-T.,Vietnam University of Commerce | Hung P.N.,Hanoi University of Science and Technology
Advances in Intelligent Systems and Computing | Year: 2015

This paper proposes an efficient method for automated generating models of component-based software. This method accepts regular expressions that describe behaviors of software components. The proposed method uses the CNNFA algorithm to parse the regular expressions in order to generate corresponding models. This method can generate minimal accurate models of the software components. A tool is implemented and applied for some typical systems to show the efficiency of this method. The obtained experimental results show that this method is faster than existing methods. The generated models play an important role in making such model-based approaches as model checking and model-based testing more feasible in practice. © Springer International Publishing Switzerland 2015. Source


Nguyen M.,Vietnamese German University | Truong M.,Vietnam University of Commerce
Procedia CIRP | Year: 2016

The term "sustainable development" has been a catch-all phrase in recent years. Corporate Social Responsibility (CSR) is seen as one of the media for sustainable development. In some countries, CSR has received much attention and achieved certain successes. However, in many other countries including Vietnam, perception of CSR remains vague and the adoption of CSR is limited. This study reviews different approaches to CSR and gives a conceptual framework of how cultural values influence CSR perception of enterprise. Some analysis on culture and data collection in Vietnam's case are carried out as example for the proposed framework. The study suggests several directions for future research on CSR. © 2016 The Authors. Published by Elsevier B.V. Source


Kurian J.C.,RMIT University | Kurian J.C.,Vietnam University of Commerce
Online Information Review | Year: 2015

Purpose - The purpose of this paper is to explore the type and implications of user-generated content posted by users of an open access institutional repository (DSpace) on Facebook. Design/methodology/approach - The identified user-generated content was organised into three categories: personal; professional; and social information. It encompassed all content from the members of the "DSpace" Facebook group, posted during the seven-year period (2007-2014). The posts were read and analysed to identify and categorise user-generated content posted by users to determine how Facebook is used by open access repository users. Findings - The results of analysis demonstrate the importance of social information posted by users over personal and professional information. Major types of user-generated content posted by users in the social information category were request, greetings, status-update, and announcement. Further, there has been a threefold increase in the number of user postings in the last two years (2013-2014), when posts were analysed over a seven-year period. Research limitations/implications - This study contributes to the theory on the implications eventuating from user-generated content posted by users of an open access institutional repository. An analysis of user-generated content identified in this study implies that users of DSpace open access repository are primarily using Facebook for information seeking, relationship building, and knowledge dissemination. Practical implications - By analysing the findings, administrators and policy makers of open access repositories could identify the extent of user support in the form of technical assistance, improved sustainability of supported projects, user community development, marketing and communications required to sustain open access scholarly communication. Originality/value - Previous studies examined how social networking sites have been used for a different purpose (interaction, collaboration, and discussion), but to date there has been very little research into the use of Facebook, a public social networking site, by open access repository users. Hence, this study addresses this gap in the literature by an interpretive analysis of user-generated content posted by users on the "DSpace" Facebook group. © Emerald Group Publishing Limited. Source


Dao T.T.,Vietnam University of Commerce | Thanh T.D.,Hanoi University of Science and Technology | Hai T.N.,Vietnam Ministry of Education and Training | Ngoc V.H.,Vinh University
Proceedings - 2015 5th International Conference on Communication Systems and Network Technologies, CSNT 2015 | Year: 2015

In the languages, the occur of words are indicated about meaning of contents in text. Generative models for text, such as the topic model, have the potential to make important contributions to the statistical analysis of large document collections, and the development of a deeper understanding of human language learning and processing. In this paper, we proposed a novel method for building Vietnamese topic model based on core terms and conditional probability. With this approach, we reduced cost of time for building corpus. After that, we perform with Vietnamese text classification and the experimental show that, this corpus will help text classification system really effectively than traditional methods, higher accuracy and reduced complex data processing. © 2015 IEEE. Source

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