1,721,029 research outputs found

    The Determinants of Business Unit Competitive Position: Evidence from the Integrated Circuits Industry

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    This paper examines the sources of competitive advantage and the mechanisms that determine individual business’ market share within the contest of the integrated circuit (IC)segment. We propose within industry diversification and innovation strategy as the major determinants of competitive advantage. We address the issue identifying major market niches within the IC industry. Results show that diversification within the same product family, to which activities are related by input factors, functional technology, degree of customization, positively affects firm performance. Moreover, the introduction of substantially incrementally new products, either new to the industry or new to the firm, also has a significant effect

    Predictors of Interest in Sexual and Sentimental Relationships among Gay Males: Attachment, Sex Drive, Attitudes toward Sex and Internalized Homophobia

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    Little is known of the factors that influence an individual’s interest in stable relationships. The drive to have support in child care is one, as evidenced by evolutionary theory, but that does not explain the formation of stable homosexual relationships, in which there is no risk of pregnancy from casual sex. Surveys were administered to 177 gay males to understand this phenomenon. Anxious attachment style and base sex drive were found to be the strongest predictors of, respectively, interest in uncommitted sex and interest in (stable) sentimental relationships. Avoidant attachment, sexual attitudes, and internalized homophobia also have an influence on the type of relationship sought. Interestingly, interest in sentimental relationships and interest in uncommitted sex appear not to be correlated

    The competitive advantage of business units: Evidence from the integrated circuit industry

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    Within-business diversification, product strategies, and competitors' innovative behavior may affect the competitive advantage of business units that operate in the integrated circuit industry. This investigation employs original data about new product introductions and sales from a representative sample of companies. In addition, the study's empirical taxonomy can deal with significant product heterogeneity, which many previous contributions overlook. Econometric analysis shows that corporate diversification within a market segment affects the competitive advantage of constituting units positively. Increased product variety also enables business units to gain a competitive edge over rivals. However, new product introductions by sister units in other market niches impair the performance of a focal unit. A higher propensity to innovate among rival firms also erodes the advantage of a focal unit, whereas positive spillovers arise from other firms' innovations in neighboring market segments

    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

    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

    Author Index

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