1,720,956 research outputs found
Italian consumers’ income and food waste behavior
Full text linkPurpose – The purpose of this paper is to provide insights on the relationships between consumers’ income and household food waste behaviors. Design/methodology/approach – Attitude toward food waste is a paradigmatic (economic) non-standard decision making. Based on behavioral economics concepts and empirical evidences, the study analyzes the frequency of household food waste and its main drivers with a focus on individual income. Through a panel of 1,403 Italian consumers, food waste behavior and its determinants are modeled for five food typologies using proportional odds models that adopt stepwise procedures and genetic algorithms. Findings – Results suggest the existence of complex relationships between per capita income and household food waste behavior. When considering food typologies that include high value added products, this relation can be explained by an inverse U-shaped curve: mid-to-low income consumers purchase higher amounts of lower quality products and waste more food. Research limitations/implications – The research highlights the importance of understanding the main socio-economic and behavioral determinants of household food waste, and the need for further researches. Practical implications – The research motivates specific pricing, commercial and policy strategies as well as organizational technological, and educational solutions to prevent/reduce household food waste. Social implications – Lower income class consumers show a greater attitude to waste certain food typologies. In turn, this implies that food waste can further worse economic inequality and relative poverty. Originality/value – The study identifies different patterns of relationship among individual income and consumers’ food waste behavior, and describes the conditions that limit a household “Food Waste Kuznets Curve.
Consumer approach to food waste: evidences from a large scale survey in Italy
Full text linkIn the EU 89 million tons of food are wasted every year, the largest fraction of which at the
household level. Despite the key role of consumers in waste production, their approach to
food waste has not been deeply analyzed so far. This paper aims at exploring the consumer
attitude towards food waste, by analyzing the results of a survey held in two Italian cities in
2014, focused on the extent and reasons of the household food waste, and on consumers’
perception of effects and possible remedies to food waste.
The results highlighted a general awareness of the effects of food waste, although the
perception of such effects was more developed when they directly concerned the consumers.
The main reasons of food waste declared by the respondents were the mismanagement of
expiration dates, over-purchase, over-cooking, and a lack of knowledge about how to reuse
the leftovers.
A cluster analysis was conducted to identify consumer profiles with a similar approach to
food waste. Such profiles were then analyzed across the two samples in order to check for
possible overlapping, which could lead to a careful generalization of the results. Namely, we
found 4 consumer profiles, named as “careful”, “virtuous”, “aware” and “unconcerned”, in
both the samples analysed.
Despite the many limitations of this very first analysis on household food waste, some
interesting insights emerge, which might be usefully deepened in order to design effective
strategies against food waste
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
Author-wise bibliometric analysis based on entropy.
No full textAuthor-wise bibliometric analysis based on entropy.</p
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