1,720,956 research outputs found
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe 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
Et si j’avais fait un autre choix ? Le choix universitaire en question
Get PDFCette recherche examine la dynamique complexe du regret du consommateur, en se basant sur les théories de (Zeelenberg & Pieters, 2004), ainsi que les approches contemporaines dans les contextes décisionnels, Nous analysons comment le regret se manifeste chez les étudiants tout au long de leur parcours universitaire et professionnel. Cette étude, fondée sur un modèle cognitif-affectif, souligne l’influence des contraintes sociales et familiales, du manque d’information et des regrets anticipés sur les choix académiques des étudiants.
L’analyse thématique des entretiens semi-directifs menés auprès de 69 étudiants révèle des thèmes clés tels que l’incertitude de carrière, l’impact de la réputation de l’établissement et l’interaction entre les aspirations personnelles et les attentes extérieures. Les résultats mettent en évidence l’importance de la régulation émotionnelle et de la prise de décision éclairée pour minimiser les regrets et favoriser la satisfaction des choix éducatifs à long terme
Variations on the Author
Get PDF“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
Get PDFWe 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
The Influence of Conversational AI on Consumer Behavior and Counterfactual Thinking: A Systematic Review
Get PDFThis document evaluates the development and importance of conversational AI, chatbots, and virtual assistants in human behavior and the process of making decisions. Designed to investigate the impact of AI on the personalization of user experiences, the study maps how the automation of decision-making and the alteration of cognitive processes like thinking in the counterfactual mode and regret are affected. The main idea is that while conversational AI service might improve the user experience and be more efficient, problems with transparency, personalization overdone and emotive manipulation might emerge. The conclusion of the research is that it is necessary to operate in a balanced way in order for the trust to be established, to be transparent, and to be authentic, thus reinforcing the transformative impact of conversational AI in e-commerce and consumer engagement in the future
The Influence of Conversational AI on Consumer Behavior and Counterfactual Thinking: A Systematic Review
Get PDFThis document evaluates the development and importance of conversational AI, chatbots, and virtual assistants in shaping human behavior and decision-making,particularly in the context of e-commerce. It is designed to investigate the impact of AI on the personalization of user experiences, and maps how the automation of decision-making affects cognitive processes like counterfactual thinking and regret. The findings sugest that while conversational AI enhances the shopping experience through personalized product recommendations, it can also trigger cognitive biases such as regret by exposing consumers to alternative options, leading them to reconsider their initial choices. This raises concerns about AI risk mitigation, particularly regarding transparency, psychographic profiling,and the emotional influence of AI-driven decision-making. Importantly,the study highlights that consumers do not inherently dislike AI; rather,they seek a more ethical and culturally aware approach to its implementation. A responsible AI design could not only improve user experience but also strengthen consumer trust in AI-driven products and services.To fully understand tese dynamics, longitudinal studies are needed to assess the long-term effects of conversational AI on consumer satisfaction, loyalty,and decision-making. Additionally,cross-cultural comparisons will provide deeper insights into how consumer perceptions and interactions with AI vary across different markets
The Influence of Conversational AI on Consumer Behavior and Counterfactual Thinking: A Systematic Review
Get PDFThis document evaluates the development and importance of conversational AI, chatbots, and virtual assistants in human behavior and the process of making decisions. Designed to investigate the impact of AI on the personalization of user experiences, the study maps how the automation of decision-making and the alteration of cognitive processes like thinking in the counterfactual mode and regret are affected. The main idea is that while conversational AI service might improve the user experience and be more efficient, problems with transparency, personalization overdone and emotive manipulation might emerge. The conclusion of the research is that it is necessary to operate in a balanced way in order for the trust to be established, to be transparent, and to be authentic, thus reinforcing the transformative impact of conversational AI in e-commerce and consumer engagement in the future
Dispelling the Myths Behind First-author Citation Counts
Get PDFWe 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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