1,720,959 research outputs found
Factor Influencing the Intention to Use E-Collection System in State-Owned Tertiary Institutions in Nigeria
Security Policy Issues in Internet Banking in Malaysia
As a continually growing financial services of electronic commerce, Internet banking requires the development and implementation of a sound security procedure. The existing literature highlights security as the primary factor which determines the adoption of Internet banking technology. The secondary information on Internet banking development in Malaysia shows a very slow growth rate. Hence, this study aims to investigate risk and security requirements factors which influence the adoption of Internet banking application through the information collected from an interviews with managers from Bank M, Bank C and Bank P. The results reveal that the customers have great concerns for security and privacy issues in adoption of Internet banking. Hence, several methods of ensuring a more secure Internet banking was suggested like a two factor authentication and three factor authentication. For future research directions biometric techniques, such as fingerprint verification, iris or face recognition, retina analysis and hand-written signature verification are increasingly becoming basic elements of authentication and identification systems in order to be privacy-friendly, minimize the social risks and prevent misuse of biometric data.</jats:p
Examining the Psychological Factors Influencing Intention to Use Business Intelligence Dashboards in the UAE
In spite of the manifold benefits associated with dashboards, their widespread adoption and individual-level usage in the United Arab Emirates (UAE) have remained limited. To address this gap, the present study employed quantitative research methodologies, specifically utilizing purposive sampling techniques and a survey instrument for data collection. The analysis employed the SmartPLS technique, which unveiled several factors that influence the intention to use dashboards, including perceived ease of use (PEOU), perceived usefulness (PU), perceived relative advantage (PRA), and perceived quality across multiple dimensions (informational, service, and system). Among these factors, PU exerted the most substantial impact on the intention to use dashboards, followed by PRA, PEOU, perceived service quality, and perceived information quality. Although perceived system quality demonstrated a positive association with the behavioral intention to use dashboards, its effect did not reach statistical significance. The findings of this study offer valuable insights for dashboard developers, furnishing evidence-based guidance on how to design dashboards that augment user acceptability and usage. By empirically testing a research framework based on the Technology Acceptance Model (TAM) and extending it to encompass quality as a multidimensional construct, this study elucidates the factors that influence users\u27 intention to use dashboards in the UAE
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
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
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