1,721,021 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

    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

    EMBRACING THE FUTURE: A QUALITATIVE EXPLORATION OF GENERATIVE AI TECHNOLOGIES IN AUDITING AT PRICEWATERHOUSECOOPERS

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    This thesis investigates the acceptance and utilization of generative artificial intelligence (GAI) technologies among auditors working at PricewaterhouseCoopers (PwC) in the Netherlands. The study is based on the Theory of Planned Behavior (TPB). As GAI continues to evolve, it is critical to understand the factors that influence its acceptance in auditing. This study investigates the impact of auditors' attitudes, subjective norms, and perceived behavioral control on their intentions to use GAI, as well as whether these intentions lead to actual usage. Ten semi-structured interviews with PwC auditors collected data, revealing a generally positive attitude towards GAI and their recognition of its potential to enhance efficiency and improve work processes. Nevertheless, the auditors' behavioral intentions and actual technology use were considerably affected by worries regarding the accuracy of GAI outputs and data security risks. The study also highlights the critical role of subjective norms and organizational culture, which have a considerable impact on auditors' intentions and usage patterns. Furthermore, perceived behavioral control, manifested through the availability of training and resources, emerged as a crucial factor affecting auditors’ confidence and capability to use GAI effectively. Although there is much enthusiasm, the implementation of GAI at PwC is hindered by obstacles such as regulatory challenges and a need for more structured support and training. This research contributes to a theoretical and practical understanding of technology adoption in professional settings, suggesting that improving support systems and addressing cultural and training-related barriers can promote the broader integration of innovative technologies such as GAI in auditing

    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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    Climbing the Fashion Mountain; A study into the influence of consumer awareness on the environmental impact of fashion

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    This study investigated how consumer sustainability awareness and attitudes influence the relationship between consumer behavior and the environmental impact of the fashion industry in the Netherlands. As concern over fast fashion’s contribution to global pollution grows, the study explores whether informed and sustainability-minded consumers diminish environmental harm through conscious consumption and usage patterns. Utilizing a quantitative research design, data was collected from 75 young consumers in the Netherlands via an online questionnaire assessing fashion consumption volume, sustainable attitudes, and clothing use behaviors. Factor analyses identified three key constructs with adequate variability: Consumer sustainability awareness (CSA), consumer behavior (CB) in terms of consumption volume, and life cycle assessment (LCA). Moreover, reliability analysis showed acceptable Cronbach’s Alpha values for each construct. Regression analyses revealed that consumer sustainability awareness significantly predicted LCA (p = .018), while CB showed no significant effect. Furthermore, moderation analysis indicated no significant interaction between CB and CSA. These findings suggest that sustainability minded, rather than quantity of consumption, primarily drives sustainable clothing use. Practical implications include targeting educational interventions to foster strong sustainability attitudes and addressing structural barriers, such as affordability and gender-based consumption patterns. This research contributes to the understanding of sustainable fashion behavior and informs strategies to reduce the environmental footprint of consumer clothing practices
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