1,720,976 research outputs found

    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

    Behavioral Software Engineering - Organizational Change Refocused [Elektronisk resurs]

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    Background The development of software is not only a technical endeavor; it is significantly affected by the behaviors of the people involved. Since social scientists have been studying humans for over a century, it is likely that insights they have developed could be used to increase software development effectiveness. There are, nevertheless, indications that software engineering researchers seldom use theories developed and proven within the social sciences. Overall, software engineering research that emphasizes human aspects is still limited compared to studies with technology or process focus. Objective Given the importance of human aspects in software development, we argue that knowledge from the social sciences should be used more extensively to improve software engineering research. Therefore, the primary objective of our research was to advance software engineering by more profoundly considering humans and their behavior. For in-depth insights into such interdisciplinary research efforts, we chose to explore a specific phenomenon: organizational change. Our secondary objective was thus to create understanding to help improve software companies’ organizational change efforts. Method To address our research objectives, we used a variety of research designs and data collection methods, including literature reviews, surveys, interviews, focus groups, and quantitative analysis of project data. This diversity allowed us to examine phenomena from different perspectives. Results We provide directions for future research on behavioral aspects of software engineering by outlining the behavioral software engineering (BSE) research area, reviewing contemporary research, and identifying industrial needs. Moreover, our findings suggest that software engineers form their attitudes toward change collectively and according to their teams’ social norms, which are governed by their distinct professional identity. Our results also indicate that misalignment of organizational values between groups adversely affects change efforts and overall performance. Conclusions Our research concludes that in order to effectively manage organizational change efforts, software companies must strengthen their organizational identity and reduce misalignment of organizational values. By providing such concrete advice on how to improve organizational change, our research confirms the usefulness of and need for additional BSE research to create novel and in-depth insights into software engineering phenomena

    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

    Towards a Behavioral Software Engineering [Elektronisk resurs]

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    Behavioral Software Engineering - Organizational Change Refocused

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    Background The development of software is not only a technical endeavor; it is significantly affected by the behaviors of the people involved. Since social scientists have been studying humans for over a century, it is likely that insights they have developed could be used to increase software development effectiveness. There are, nevertheless, indications that software engineering researchers seldom use theories developed and proven within the social sciences. Overall, software engineering research that emphasizes human aspects is still limited compared to studies with technology or process focus.Objective Given the importance of human aspects in software development, we argue that knowledge from the social sciences should be used more extensively to improve software engineering research. Therefore, the primary objective of our research was to advance software engineering by more profoundly considering humans and their behavior. For in-depth insights into such interdisciplinary research efforts, we chose to explore a specific phenomenon: organizational change. Our secondary objective was thus to create understanding to help improve software companies’ organizational change efforts.Method To address our research objectives, we used a variety of research designs and data collection methods, including literature reviews, surveys, interviews, focus groups, and quantitative analysis of project data. This diversity allowed us to examine phenomena from different perspectives.Results We provide directions for future research on behavioral aspects of software engineering by outlining the behavioral software engineering (BSE) research area, reviewing contemporary research, and identifying industrial needs. Moreover, our findings suggest that software engineers form their attitudes toward change collectively and according to their teams’ social norms, which are governed by their distinct professional identity. Our results also indicate that misalignment of organizational values between groups adversely affects change efforts and overall performance.Conclusions Our research concludes that in order to effectively manage organizational change efforts, software companies must strengthen their organizational identity and reduce misalignment of organizational values. By providing such concrete advice on how to improve organizational change, our research confirms the usefulness of and need for additional BSE research to create novel and in-depth insights into software engineering phenomena

    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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