1,721,418 research outputs found
The Contingent Effects of IS Certifications on the Trustworthiness of Websites
Information systems (IS) research has largely treated IS certifications (i.e., graphical cues that prove the endorsement of independent third parties) as universally effective at improving website visitors’ perceptions of trustworthiness. However, inconclusive findings on the effectiveness of IS certifications on websites have emerged, critically challenging their usefulness. We seek to reconcile these inconclusive findings by drawing on swift trust theory and the notion of humans as cognitive misers. Specifically, we investigate whether the effects of IS certifications are contingent on visitors’ expectations and the website’s baseline trustworthiness (i.e., the original website before adding and visitors’ processing of IS certifications). Through a multistudy investigation combining an online (N = 191) and a follow-up field experiment with up to €4 million in sales volume (N = 306), we reveal the contingent effects of IS certifications on the trustworthiness of websites: Below (but not above) a certain level of a website’s baseline trustworthiness (i.e., the trust tipping point), IS certifications significantly increase trustworthiness. We also show that IS certifications do not increase the likelihood of user registrations (i.e., trust-related behavior) when a website’s baseline trustworthiness surpasses this trustworthiness threshold. Overall, we provide an important new perspective that explains and resolves previous inconsistent findings on the (in)effectiveness of IS certifications for trustworthiness and subsequent trust-related behaviors. We equip practitioners with valuable and actionable guidance on the usefulness of IS certifications to strengthen their digital businesses
Going Beyond Counting First Authors in Author Co-citation Analysis
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
“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
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
TÜV Plakette für Cloud-Dienste - das am KIT koordinierte AUDITOR Programm wird die Sicherheit von Cloud-Anbietern zertifizieren - Campusreport am 05.06.2018
Das Angebot ist verführerisch: Warum Dokumente, Bilder und Videos auf dem eigenen Computer oder Handy speichern, wenn man mit der Speicherung in einer Cloud von überall auf sie zugreifen kann? In der Cloud, das heißt in einem virtuellen Speicher im Internet, können zudem Familienmitglieder, Freunde oder Arbeitskollegen die eigenen Dateien ganz bequem einsehen. Aber leider kann niemand mit Sicherheit sagen, wer sich sonst noch Zugang zur Cloud verschaffen kann. Mit dem am Karlsruher Institut für Technologie koordinierten Forschungsprojekt „Auditor“ soll sich das ändern. Künftig wird es eine Art TÜV-Plakette für Clouds geben
Dispelling the Myths Behind First-author Citation Counts
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
The Present and Future of Accountability for AI Systems: A Bibliometric Analysis
Abstract Artificial intelligence (AI) systems, particularly generative AI systems, present numerous opportunities for organizations and society. As AI systems become more powerful, ensuring their safe and ethical use necessitates accountability, requiring actors to explain and justify any unintended behavior and outcomes. Recognizing the significance of accountability for AI systems, research from various research disciplines, including information systems (IS), has started investigating the topic. However, accountability for AI systems appears ambiguous across multiple research disciplines. Therefore, we conduct a bibliometric analysis with 5,809 publications to aggregate and synthesize existing research to better understand accountability for AI systems. Our analysis distinguishes IS research, defined by the Web of Science “Computer Science, Information Systems” category, from related non-IS disciplines. This differentiation highlights IS research’s unique socio-technical contribution while ensuring and integrating insights from across the broader academic landscape on accountability for AI systems. Building on these findings, we derive research propositions to lead future research on accountability for AI systems. Finally, we apply these research propositions to the context of generative AI systems and derive a research agenda to guide future research on this emerging topic
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