1,720,993 research outputs found
The Transformative Influence of Artificial Intelligence on the Fashion Industry
No full textThis chapter examines the multifaceted influence of AI on the fashion industry, exploring its transformative potential across various domains, including design, production, marketing, and customer experiences. The chapter focuses on three primary areas where AI implementation is most prominent: Operations, Supply Chain Management, and Marketing. Within Operations, AI is revolutionizing creative design and trend forecasting, material innovation, fabric and material selection, pattern generation, and optimization, and ultimately enabling the industry to adopt a broader set of sustainable practices. In Supply Chain Management, AI fosters efficient inventory management and supply chain optimization while also playing a crucial role in fraud detection and security. Regarding Marketing, the transformative effect of AI is evident in its ability to improve customer experience and enable personalization, deliver fashion styling, facilitate phygital experiences, and enhance customer service through AI-generated content.
The chapter provides a comprehensive review of the current state of research and provides real-world examples of companies and AI-powered tools that are leading the way in AI adoption. While acknowledging the numerous opportunities that AI presents for the fashion industry, the chapter also addresses several critical issues, including ethical considerations, transparency concerns, copyright and intellectual property challenges, bias in AI algorithms, and the potential impact on labor ethics. The chapter concludes by outlining potential future scenarios and research directions, emphasizing the importance of responsible AI implementation and the need for ongoing exploration of the evolving relationship between AI and the fashion industry
Turning a Crisis Into an Opportunity: Innovation During the Pandemic
Full text linkThe impact of the COVID-19 pandemic has not been uniform across industries. In some, we have witnessed a remarkable degree of innovation which has seen the establishment of a vast array of business models. By contrast, in others innovation has been rather slack. These conflicting trends raise the questions of whether the COVID-19 pandemic has accelerated the demise of certain industries or hastened the emergence of others. By coupling the crisis management literature with organizational learning theory and by relying on 23 in-depth interviews, the chapter provides a taxonomy of the various types of innovation responses to the existing crisis and disruption. The taxonomy is instrumental to gain a better understanding of how companies across countries and industry sectors respond to disruption by innovating and the valuable lessons that can be drawn from this experience
Desensitizing the attention system to distraction while idling: A new latent learning phenomenon in the visual attention domain
No full textFor the good and the bad, the world around us is full of distraction. In particular, onset stimuli that appear abruptly in the scene grab attention, thus disrupting the ongoing task. Different cognitive mechanisms for distractor filtering have been proposed, but prevalent accounts share the idea that filtering is accomplished to shield target processing from interference. Here we provide novel evidence that challenges this view, as passive exposure to a repeating visual onset is sufficient to trigger learning-dependent mechanisms to filter the unwanted stimulation. In other words, our study shows that during passive exposure the cognitive system is capable of learning about the characteristics of the salient yet irrelevant stimulation, and to reduce the responsiveness of the attention system to it, thus significantly decreasing the impact of the distractor upon start of an active task. However, despite passive viewing efficiently attenuates the spatial capture of attention, a short-lived performance cost is found when the distractor is initially encountered within the context of the active task. This cost, which dissipates in a few trials, likely reflects the need to familiarize with the distractor, already seen during passive viewing, in the new context of the active task. Although top-down inhibitory signals can be applied to distractors for the successful completion of goal-directed behavior, our results emphasize the role of more automatic habituation mechanisms for distraction exclusion based on a neural model of the history of the irrelevant stimulation. (PsycINFO Database Record (c) 2018 APA, all rights reserved)
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
Born Twice: The Role of Social Media in Identity Redefinition after Sudden Disability
Full text linkFrom being attacked by a shark to being stricken by illness, people who acquire disabilities later in life have unique lived experiences. There is, however, a commonality that binds them: the loss of a former identity and a rebirth into another life. They may also struggle with self-acceptance as they shun societal stigmas and perceived deviance from cultural norms. Through a netnographic study, we examine how identities are redefined with the help of social media. We trace the journey of athletes, influencers, and others experiencing sudden disabilities as they transition from medical facilities to the comfort of their homes. We present the four critical phases toward acceptance of a disabled identity and show the role of social media as a transformative tool for navigating social exclusion and prejudice, as well as being a conduit for self-expression
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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