1,721,003 research outputs found

    International competitive strategy choices: comparing firms in China and India

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    This study investigates the types of international competitive strategies (ICS) followed by Chinese and Indian firms. Using firm-level primary data, the contribution analyses the factors that affect ICS choices and whether these factors differ between the two countries. It argues that firms’ resources and capabilities influence firms’ propensity to choose a specific ICS and that the strategies differ in relation to firms’ location, sector and destination market as well

    International competitive strategy choices: comparing firms in China and India

    No full text
    This study investigates the types of international competitive strategies (ICS) followed by Chinese and Indian firms. Using firm-level primary data, the contribution analyses the factors that affect ICS choices and whether these factors differ between the two countries. It argues that firms’ resources and capabilities influence firms’ propensity to choose a specific ICS and that the strategies differ in relation to firms’ location, sector and destination market as well

    An Arrested Virtuous Circle? Higher Education And High-Tech Industries In India

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    We provide a brief but comprehensive overview of linkages between higher education and the high tech sector and study the major linkages in India. We find that the links outside of the labor market are weak. This is attributed to a regulatory structure that separates research from the university and discourages good faculty from joining, which erodes the quality of the intellectual capital necessary to generate new knowledge. In the labor market, we find a robust link between higher education and high-tech industry, but despite a strong private sector supply response to the growth of the high-tech industry, the quality leaves much to be desired. Poor university governance may be limiting both labor market and non-labor market linkages. Industry efforts to improve the quality of graduates are promising but over reliance on industry risks compromising workforce flexibility. Addressing the governance failures in higher education is necessary to strengthen the links between higher education and high tech industry.

    On the Risk Associated With Belonging to Disadvantaged Groups: A Bayesian Analysis with an Application to Labour Market Outcomes in India

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    Although methods of analysis based on Bayes’ theorem have had rich applications in Law and in Medicine they have not been much used in Economics. We use Bayes’ theorem to construct two concepts of the “risk” associated with belonging to a particular group in terms of a favourable labour market outcome; this, in the Indian context, is taken as being in “regular employment”. The first concept, the Employment Risk Ratio, measures the odds of a person being in regular employment to being in non-regular employment, given that he belongs to a particular group. The second, the Group Risk Ratio, measures the odds of a person being in regular employment, given that he belongs to one group against belonging to another group. We then apply these concepts of risk to data for four subgroups in India: forward-caste Hindus; Hindus from the Other Backward Classes; Dalits (collectively the Scheduled Castes and Scheduled Tribes); and Muslims. We show that, on both measures of risk, forward caste Hindus do best in the Indian labour market. This is partly due to their superior labour market attributes and partly due to their better access to good jobs. When inter-group differences in attributes are neutralised, the favourable labour market performance of forward caste Hindus is considerably reduced. We conclude that it is the lack of attributes necessary for, rather than lack of access to, regular employment that holds back India’s deprived groups

    On the Risk Associated With Belonging to Disadvantaged Groups: A Bayesian Analysis with an Application to Labour Market Outcomes in India

    Full text link
    Although methods of analysis based on Bayes’ theorem have had rich applications in Law and in Medicine they have not been much used in Economics. We use Bayes’ theorem to construct two concepts of the “risk” associated with belonging to a particular group in terms of a favourable labour market outcome; this, in the Indian context, is taken as being in “regular employment”. The first concept, the Employment Risk Ratio, measures the odds of a person being in regular employment to being in non-regular employment, given that he belongs to a particular group. The second, the Group Risk Ratio, measures the odds of a person being in regular employment, given that he belongs to one group against belonging to another group. We then apply these concepts of risk to data for four subgroups in India: forward-caste Hindus; Hindus from the Other Backward Classes; Dalits (collectively the Scheduled Castes and Scheduled Tribes); and Muslims. We show that, on both measures of risk, forward caste Hindus do best in the Indian labour market. This is partly due to their superior labour market attributes and partly due to their better access to good jobs. When inter-group differences in attributes are neutralised, the favourable labour market performance of forward caste Hindus is considerably reduced. We conclude that it is the lack of attributes necessary for, rather than lack of access to, regular employment that holds back India’s deprived groups

    U.S.-India technology cooperation and capability building : the role of inter-firm alliances in knowledge-based industries

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    For more about the East-West Center, see http://www.eastwestcenter.org/U.S.-India Technology Cooperation and Capability Building reviews some Indo-U.S. technology cooperation initiatives and analyzes data on interfirm alliances in knowledge-based industries, especially information technology (IT). It shows that the market driven increase in alliances between Indian and U.S. enterprises has significantly enhanced the variety of linkages between Indian and U.S. entities both public and private, and that these linkages have contributed to capability building and diversification by Indian partners. A variety of spillover benefits of international technology alliances are highlighted. It is suggested that issues relevant for Indo-U.S. cooperation at different levels need to be analyzed together in order to appreciate complementarities across linkages of various types. For example, linkages between public sector entities of the two nations may enhance the potential of private sector networking initiatives. The paper argues that while the building of public institutions and policies relating to trade, technology, and investment remain important for Indo-U.S. technology cooperation, a shift in policy focus to market induced interfirm alliances may be desirable. This paper was prepared when the author was a Jhamandas Watumull Visiting Fellow at the East-West Center. Supported by the Jhamandas Watumull Fund, the fellowship seeks to promote ecnonomic and technology cooperation between India and the United States through research on key issues in their bilateral relations in these sectors

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed

    Variations on the Author

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    “Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship

    Appropriate Similarity Measures for Author Cocitation Analysis

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    We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
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