1,721,009 research outputs found

    The Diffusion of Science-Driven Drug Discovery: Organizational Change in Pharmaceutical Research

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    Recent work linking the adoption of key organizational practices to productivity raises an important question: if adoption increases productivity so dramatically, why does adoption across an industry take so long? This paper explores this question in the context of one particularly interesting practice, the adoption of science driven drug discovery by the modern pharmaceutical industry. Over the past two decades, the established pharmaceutical industry has slowly shifted towards a more science-oriented drug discovery: (a) adopters experienced substantially higher rates of R&D after the late 1970s and (b) the rate of adoption across the industry was extremely slow. Motivated by the apparent contradiction between large boosts in performance and slow rates of adoption, this paper characterizes the sources of differences in rates of adoption between 1980 and 1993. The principal finding is that adoption of a science-oriented research approach was a function of initial conditions, or subject to 'state dependence': some firms simply began the sample period at a much higher level of science orientation. Moreover, while these effects attenuated over time, our empirical results suggest that it took more than ten years before adoption was unrelated to initial conditions. In addition, consistent with theories developed in the context of technology adoption, we find that relative diffusion rates depend on the product market positioning of firms. More surprisingly, adoption rates are seperately driven by the composition of sales within the firm. This latter finding suggests the potential importance of differences among firms in terms of the internal structure of power and attention, an area which has received only a small amount of theoretical attention.

    Measuring competence? : exploring firm effects in pharmaceutical research

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    Includes bibliographical references (p. 24-27).Supported by four pharmaceutical companies and the Sloan Foundation.Rebecca Henderson, Iain Cockburn

    Scale, scope and spillovers : the determinants of research productivity in ethical drug discovery

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    Includes bibliographical references (p. 25-27).Funded by four pharmaceutical companies and by the Sloan Foundation.Rebecca Henderson & Iain Cockburn

    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

    Racing or spilling? : the determinants of research productivity in ethical drug discovery

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    Includes bibliographical references (p. 13-14).Research funded by four pharmaceutical companies and by the Sloan Foundation.Rebecca Henderson and Iain Cockburn

    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

    Dispelling the Myths Behind First-author Citation Counts

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    We conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more sophisticated methods

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