1,721,119 research outputs found

    Social Media Choice: An Explorative Study on Information Transmission via Social Media

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    From Facebook (i.e. a social network site) to Twitter (i.e. a microblog), a large variety of social media types and platforms facilitate information exchange among individuals. The information systems literature provides theoretical approaches to understand media choice, especially when multiple electronic media are available.In this empirical study, we seek to understand social media choice in the context of major business events.We explore how individuals make use of different social media types at different times during the communication process subsequent to the announcement of major business events. While controlling for other task-related influencing factors, our analysis provides evidence that the successive choices of social media types determine the task-related communication process

    Social Media Choice: An Explorative Study on Information Transmission via Social Media

    No full text
    From Facebook (i.e. a social network site) to Twitter (i.e. a microblog), a large variety of social media types and platforms facilitate information exchange among individuals. The information systems literature provides theoretical approaches to understand media choice, especially when multiple electronic media are available.In this empirical study, we seek to understand social media choice in the context of major business events.We explore how individuals make use of different social media types at different times during the communication process subsequent to the announcement of major business events. While controlling for other task-related influencing factors, our analysis provides evidence that the successive choices of social media types determine the task-related communication process

    Measuring IT System Value with entity-specific Factors influencing Process Runtime Efficiency

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    This empirical study explores the different factors influencing the runtime of a booking process in the middle office of a major European investment company. The study is based on mixed methods research that combines qualitative research data collection techniques with a quantitative research approach. On the basis of semi-structured interviews, we first develop and present a model of the business process and control points to assess booking runtime. We further identify relevant and IT-related factors such as process automation that may affect booking runtime. Then, we analyze a unique dataset of historical process cycles providing details on booking runtime. Our quantitative analysis of this data provides new insights into how to identify most relevant factors affecting runtime of transaction processes in the financial industry. From a methodological perspective, our study illustrates how to conduct mixed methods research in the field of process performance evaluations

    Measuring IT System Value with entity-specific Factors influencing Process Runtime Efficiency

    No full text
    This empirical study explores the different factors influencing the runtime of a booking process in the middle office of a major European investment company. The study is based on mixed methods research that combines qualitative research data collection techniques with a quantitative research approach. On the basis of semi-structured interviews, we first develop and present a model of the business process and control points to assess booking runtime. We further identify relevant and IT-related factors such as process automation that may affect booking runtime. Then, we analyze a unique dataset of historical process cycles providing details on booking runtime. Our quantitative analysis of this data provides new insights into how to identify most relevant factors affecting runtime of transaction processes in the financial industry. From a methodological perspective, our study illustrates how to conduct mixed methods research in the field of process performance evaluations

    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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