1,720,961 research outputs found
When tourists react to fake images: Modeling coping strategies during customer journey experience
No full textCoping strategies and corrective actions to address consumer vulnerability in the digital context: a systematic literature review
No full textIs the influencer an effective tool for sustainability communication? An empirical study in the field of made-in-Italy fashion
No full textConsumer Reactions to Generative AI: An Exploratory Study Using Neuroscientific Techniques
No full textGenerative AI is progressively revolutionising consumer thinking and behaviour. The aim of this article is to understand consumer reactions to the use of Gen AI. To achieve the research objective, a sample of 36 participants took a test designed to assess their interaction with ChatGPT, using neuroscientific techniques (eye-tracker and facial expression analysis), and a survey. By comparing conscious and unconscious responses (through neuroscientific techniques), the study provides clues as to how GAI influences consumer behaviour. The results show that consumers might still not be entirely happy to integrate GAI into their experience. In fact, the study reveals that the interaction with this technology also arouses negative subconscious emotions of sadness in consumers. Although consumers feel Gen AI is a useful and functional tool for collecting information about products/services, they may not fully accept personalised recommendations from this GAI and still prefer human contact in their shopping experience. This study therefore allows to gain more understanding of how consumers react to the use of GAI, providing certain valuable insights to marketing managers implementing GAI projects and adding theoretical knowledge about consumer relationships with Artificial Intelligence
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe 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
Full text link“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
Full text linkWe 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
Full text linkWe 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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