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This paper seeks to demonstrate the value of using social media to capture fashion trends, including the popularity of specific features of clothing, in order to improve the speed and accuracy of supply chain response in the era of fast fashion.

This study examines the role that text mining can play to improve trend recognition in the fashion industry. Researchers used n-gram analysis to design a social media trend detection tool referred to here as the Twitter Trend Tool (3Ts). This tool was applied to a Twitter dataset to identify trends whose validity was then checked against Google Trends.

The results suggest that Twitter data are trend representative and can be used to identify the apparel features that are most in demand in near real time.

The 3Ts introduced in this research contributes to the field of fashion analytics by offering a novel method for employing big data from social media to identify consumer preferences in fashion elements and analyzes consumer preferences to improve demand planning.

The 3Ts improves forecasting models and helps inform marketing campaigns in the apparel retail industry, especially in fast fashion.

The purpose of this study is to investigate the influence of augmented reality (AR) media characteristics on consumers’ purchase intention (PI) for fashion goods within the fashion industry context.

This study establishes five independent variables of salient AR media characteristics derived from existing studies which includes interactivity, vividness, augmentation, simulated physical control and environmental embedding. A quantitative online survey method is conducted with a sample of 172 respondents.

The findings suggest that all five AR media characteristics have a positive and significant influence on consumers’ PI for fashion goods. Among these five characteristics, interactivity and simulated physical control have the strongest positive impact on PI, followed by vividness, environmental embedding and augmentation.

This study provides valuable insights for fashion brands to better understand the media characteristics that consumers may be looking out for in AR experiences that could have an influence on their PI for fashion goods. This study also contributes to the literature by identifying the most influential AR media characteristics in the context of the fashion industry.

This paper offers a reflection of a research process aimed at listening to young children's voices in their everyday school life through a play-based context in a Scottish school. Throughout the research process, the complexity of conducting this research was kept in mind as listening to children's voices presents methodological and conceptual difficulties and tensions. Reflecting on the research process after the data was collected, the process was critiqued using Deleuze-Guattarian ideas. The critique aims at opening and challenging each researcher, allowing them to think-again about the next research project aimed at listening to children's voices.

The research involved an observation study that took place over one week in a primary school in Central Scotland. As part of the educators' approach to play-based pedagogy, children had the opportunity to engage in free play throughout the day. Observations were chosen as the main approach to “capture” children's voices in their natural settings.

The empirical research brought forth two main ideas, that of children as agents, and how children amplify their voices through play. The reflective part offers the possibility of understanding the intensities and forces when conducting such research and the possibilities of engaging with these.

This paper offers a critique of research aimed at listening to children's voices. The aim is not to limit engagement in researching children's voices but to open, or make complex, such processes.

The purpose of this paper is to bridge the gap between entrepreneurial implementation intention and subsequent actions, addressing the isotropic issue under uncertain entrepreneurship.

The authors conducted two rounds surveys, a total of 2,350 individuals are surveyed, and 240 of whom expressed entrepreneurial intention but had yet to start a business comprised the sample.

This research finds that entrepreneurial implementation intention has a significant positive relationship with subsequent actions, affordable loss mediates the effect of implementation intention on subsequent actions, environmental uncertainty negatively moderates the relationship between affordable loss and subsequent actions, and the indirect effect of entrepreneurial implementation intention on entrepreneurial action can be enhanced at the low level of environmental uncertainty.

This study contributes new insights to the literature on Rubicon model of action phases in entrepreneurship field by using affordable loss and uncertainty. It also contributes to the literature on affordable loss by examining how environmental uncertainty conditions the effect of affordable loss on entrepreneurial action. Additionally, the negatively moderating role of environmental uncertainty offers a new possibility to explain entrepreneurial uncertainty.

Gender and geographical imbalance in production and impact levels is a pressing issue in global knowledge production. Within Health Sciences, while some studies found stark gender and geographical biases and inequalities, others found little empirical evidence of this marginalization. The purpose of the study is to clear the ambiguity concerning the topic.

Based on a comprehensive and systematic analysis of Health Sciences research data downloaded from the Scival (Scopus/Scimago) database from 2017 to 2020 (n = 7,990), this study first compares gender representation in research productivity, as well as differences in terms of citation per document, citations per document view and view per document scores according to geographical location. Additionally, the study clarifies whether there is a geographic bias in productivity and impact measures (i.e. citation per document, citations per document view and view per document) moderated by gender.

Results indicate that gender inequalities in productivity are systematic at the overall disciplinary, as well as the subfield levels. Findings also suggest statistically significant geographical differences in citation per document, citations per document view, and view per document scores, and interaction effect of gender over the relation between geography and (1) the number of citations per view and (2) the number of views per document.

This study contributes to scientometric studies in health sciences by providing insightful findings about the geographical and gender bias in productivity and impact across world regions.

This paper aims to contribute to the understanding of novelty emergence in the context of an “off-line” open innovation system. Several contributions address novelty generation implying open innovation that is typically mediated by IT systems, while fewer address open innovation that takes place off-line, through new forms of collaboration happening in the so-called “physical spaces” and in widespread creativity contexts involving whole cities and territories. This research aims to clarify what the critical elements for novelty generation are, and how and why they interact in producing novelty.

This paper presents the case study of the Blackshape, a high-tech start-up that has become the Italian symbol of a new bottom-up economy that is grounded on high-education, a mix of territorial competencies and young initiative, and produces the development or growth of territories experiencing present or foreseen economic retardation for various reasons. This is a case in which novelty is emergent and takes place through exaptation. The case is used to elaborate an inductive understanding of the process of novelty generation through exaptation and follows a “conceptual composition” format (Berends and Deken, 2019).

This paper shows that initiatives building widespread creativity on the territory play a prominent role for emergent novelty generation, as they provide the context that sustains the efforts to keep on trying of entrepreneurs, welcomes unforeseen interaction and keeps interesting people on the territory that can be involved in random encounters. This paper adds that crucial contributions for the definition of the innovative project come from contributors that are expected to provide suggestions in other areas. Such prominent contributors are engaged in a sense “by mistake”, and here the randomness perceived by the actors experiencing it, because they are perceived to be able to provide some contributions, while they provide others that are more important to the project. This paper argues that such “perceived randomness” sustains a mechanism of selection of novelty generation partners that allows to go beyond the ability of actors themselves to design and foresee other actors’ contribution into the project. Finally, two other elements play a role: how the project is narrated, as well as, how the entrepreneurial team communicates their entrepreneurial competence for the project.

This theoretical understanding builds on only one case study; further research might validate the critical role of our understanding of novelty generation elements and help develop their dynamics further.

Many elements in our understanding of novelty generation have typically been understood as resulting from luck and randomness, leaving, therefore, very little hope to actors’ interest in supporting them. This paper claims that such elements and such dynamics can be sustained and novelty generation can indirectly be supported, for instance, by suggesting a high openness and sharing of one’s own project even to accidentally encountered actors, as one’s own ability to foresee how they might contribute to the project is very poor.

This paper provides a tentative understanding of the elements and dynamics of novelty generation through exaptation building on theoretical elaboration that is inductively triggered and stimulated by empirical evidence.