1,721,015 research outputs found

    Enhancing Transparency in Mobile App Privacy Notices: the Impact of Content and Format on User Perceptions

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    The study, through an experimental design, investigates the effectiveness of short-form privacy notices in mobile Apps that employ users’ data for AI-powered recommendations. The focus is on how the content and the format of a privacy notice, impact user perceptions of transparency. Results confirm that complete privacy notices covering data collection, data storage and protection, and data use and sharing significantly enhance transparency compared to shortened versions. Moreover, a visual format rather than a textual format seems to be more efficient. However, the advantage of the visual format decreases when the amount of information to be communicated grows. This study provides App developers with valuable insights on how to increase their app’s privacy notice transparency

    Boosting Transparency with Communications in Support of Privacy Notices: The Role of Content and Format

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    Privacy notices, required by the GDPR, are often long and complex, creating information asymmetry between firms and users and reducing transparency. Based on Signalling Theory, authors develop a theoretical model that investigates how the content and format of the communication in support of the privacy notices affect perceived transparency and its consequences in terms of behavioral answers. A between-subjects experimental design has been run. Results show that providing more comprehensive communications increases the consumer perception of firms' transparency and the intention to use the product. Moreover, infographic formats benefit the perception of transparency more than text but only in contexts of limited information

    La blockchain per le PMI artigiane del Made in Italy. Il caso della Savio Firmino

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    This study explores the adoption of blockchain technology for product traceability by the craftbased Italian SME Savio Firmino, specialized in luxury interior furniture made in Italy. Through the blockchain, the company aims to identify its products, guarantee their authenticity, and protect them from counterfeiting, strengthening the trust relationship with customers and making aftersales services more efficient

    Transparency in mobile apps for value co‐creation: how privacy notice communications shape user perception

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    The rise of mobile apps, particularly those utilizing artificial intelligence, has heightened privacy concerns due to extensive data collection. Privacy notices are mandatory for promoting transparency in data management. This research examines how text-based versus infographic privacy notice formats influence users’ perceptions of transparency and their intention to use the app. We present a 2 × 3 experiment manipulating notice format and message complexity in a sports app context. Results indicate that infographics enhance perceived transparency more than text, though this effect diminishes with increased complexity. Transparency fully mediates the relationship between notice format and app usage intention, irrespective of users’ privacy concerns. These findings provide valuable insights for app developers and policymakers in balancing clarity with legal compliance in privacy communications supporting value co-creation. By highlighting the limitations of infographics in complex scenarios, this study contributes to the discussion on effective privacy communication strategies, emphasizing the need for alignment between format and content in technology-mediated environments

    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
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