2,102 research outputs found

    Corporate Governance Structures and Performance of Firms in Asian Markets: a Comparative Analysis Between Singapore and Vietnam

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    A cross-country comparative analysis of corporate governance structures and financial performance of publicly listed companies in Singapore and Vietnam, covering a four-year period from 2008 to 2011, is undertaken in this study. More specifically, the similarities and differences in the corporate governance structures and financial performance of the companies are compared and interpreted in the institutional context of each market. On an average basis, we find that the size, composition and diversity of the boards in these two markets are statistically significantly different. In contrast, there is no statistical evidence to reject the similarities in ownership structure, board leadership structure, and financial performance between the firms of the two markets. In addition, our comparative analysis on the corporate governance structures–financial performance nexus also reveals that the performance effects of corporate governance structures vary significantly between the two markets, thus supporting the view that the performance effects of corporate governance structures are country-specific. Our findings suggest that country-level characteristics should be captured when modelling the corporate governance–firm performance relationship in cross-country comparative corporate governance research

    Exploring regularities in software with statistical models and their applications

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    Software systems are becoming popular. They are used with different platforms for different applications. Software systems are developed with support from programming languages, which help developers work conveniently. Programming languages can have different paradigms with different form, syntactic structures, keywords, and representation ways. In many cases, however, programming languages are similar in different important aspects: 1. They are used to support description of specific tasks, 2. Source codes are written in languages and includes a limit set of distinctive tokens, many tokens are repeated like keywords, function calls, and 3. They follow specific syntactic rules to make machine understanding. Those points also respect the similarity between programming language and natural language. Due to its critical role in many applications, natural language processing (NLP) has been studied much and given many promising results like automatic cross-language translation, speech-to-text, information searching, etc. It is interesting to observe if there are similar characteristics between natural language and programming language and whether techniques in NLP can be reused for programming language processing? Recent works in software engineering (SE) shows that their similarities between NLP and programming language processing and techniques in NLP can be reused for PLP. This dissertation introduces my works with contributions in study of characteristics of programming languages, the models which employed them and the main applications that show the usefulness of the proposed models. Study in both three aspects has drawn interests from software engineering community and received awards due to their innovation and applicability. \u27 I hope that this dissertation will bring a systematic view of how advantage techniques in natural language processing and machine learning can be re-used and give huge benefit for programming language processing, and how those techniques are adapted with characteristics of programming language and software systems
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