1,721,115 research outputs found
Wine waste valorisation: crushing the research domain
No full textIn the past few years, the wine industry has shown an increasing interest in sustainability issues. There is growing agreement that circular economy solutions are essential for achieving the United Nations Sustainable Development Goals (SDGs). Implementing circular economy strategies can enhance the environmental and economic sustainability of wine production processes. In this context, waste valorisation and industrial symbiosis are widely discussed circular economy strategies. However, there is a gap between theory and actual practical implementation. The present paper uncovers the state of the art in the field of research by conducting a systematic literature review on a sample of 67 scientific papers, further including grey literature to obtain a more comprehensive overview of the phenomenon under investigation. The results of this study highlight the urgent need for the industry and the scientific community to investigate sustainable and profitable alternatives for wine waste valorisation. The tight ties between academia and business may support the wine industry in addressing this shift. Finally, this study proposes a research agenda for future studies. This includes sustainable practices for valorising raw materials at their maximum potential and the reduction of waste stream disposal. In order to implement circular strategies, including the recovery and recycling of valuable waste, modern wineries should implement technical, managerial, and valorisation strategies
The digital and sustainable transition of the agri-food sector
No full textAccording to recent trends, food production must double by 2050 to meet the world's growing population's expected demand. To achieve this goal, agri-food companies have begun implementing different digital technologies to increase food production while utilising fewer resources, thus reducing production processes' environmental impact. This study aims to review Industry 4.0 and agri-food sustainability research published in the last decade. Text classification and data extraction machine learning techniques have been used to support the literature review process. Notably, text classification was used to support the screening phase of titles and abstracts, while data extraction was used to support the content analysis phase by identifying the main topics on which documents are focused. The descriptive analysis shows a summary of the leading scientific journals in the research field, as well as the most influential countries and the research topic evolution over time. The results of the study allowed us to identify ten main research clusters, providing in-depth discussions and perspectives on critical areas for future research avenues. Finally, this study provides significant implications for the agri-food industry, suggesting firms redesign their business models according to a logic that prioritises long-term, shared value creation over short-term efficiency, and profitability. Incorporating digital technologies may help control farming activities' impact on soil and air quality, minimising the use of natural resources, pollutants, and CO2 emissions, thus providing long-term economic, environmental, and social advantages
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
koamabayili/VECTRON-author-checklist: VECTRON author checklist
No full textWe have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
Recent trends in sustainable inventory models: A literature review
No full textGreenhouse gas emissions are increasing global warming significantly, hence the need for manufacturing companies to include sustainability strategies in their supply chain to reduce emissions generated by their operations. This article aims to provide a systematic literature review on integrating sustainability issues into inventory management models to support scholars and practitioners in decision-making processes according to their market requirements. Thus, this paper discusses the most relevant papers published on inventory management topics that consider environmental criteria such as greenhouse gas emissions, ecological quality controls, unsold inventory, and fixed carbon costs. Therefore, we have extended the literature review to incorporate sustainability considerations in inventory models involving an industry’s environmental and social effects. As a result, in this article, a detailed analysis of the existing literature and related weaknesses provide meaningful discussions on crucial issues for future field research avenues in the field
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