1,721,022 research outputs found
Emotions and food waste behavior: Do habit and facilitating conditions matter?
No full textFood waste is currently a critical global issue, even more so because waste has continued to increase despite various reduction initiatives. Deeper research insights into why people waste food are needed to formulate effective strategies to counter such behavior. This study investigated the drivers of food delivery app (FDA) users' attitudes against food waste and their behavioral intentions to reduce it. Specifically, the study employed the theory of interpersonal behavior (TIB) to explicate the role of emotions in driving attitude and intentions. Data collected from active FDA users (N = 561) were analyzed to test the proposed associations. The other two key variables in the TIB framework - habit, operationalized in this study as ordering more food than necessary to take advantage of special offers, and facilitating conditions, captured through belief that food ordered via FDAs often goes to waste - are conceptualized and examined as moderation variables. The results confirmed the positive association of attitude and negative emotions with intentions, as well as the positive association of negative emotions and attitude. However, the negative association of positive emotions was confirmed with attitude only. In addition, attitude mediated the negative emotions-intentions association. Finally, the analysis revealed that the variable belief that food ordered via FDA often goes to waste moderated the association of positive and negative emotions with intentions. The findings of the study offer significant inferences
Barriers and paradoxical recommendation behaviour in online to offline (O2O) services. A convergent mixed-method study
Full text linkMobile apps offering online to offline (O2O) services act as aggregators providing interface for delivery of required products and services at a preferred location. Despite offering multiple affordances, many O2O services have not diffused as anticipated, indicating the existence of consumer resistance towards them. One such example is that of food delivery apps (FDAs), which are experiencing resistance at both the pre-adoption and post-adoption stage. However, there are scarce empirical findings explicating the pre-and post-adoption barriers perceived to be associated with FDAs. The present study addresses this gap by utilising the Innovation Resistance Theory (IRT) and a convergent mixed-method study design to examine the barriers that existing FDA users face and how these impinge on their trust and valence of recommendation behaviour (positive and negative word of mouth). The study not only extends the classic IRT barriers to the FDA-context by identifying three key barriers (economic, efficiency, and experience) but also offers empirical evidence to support the negative association of barriers with trust and paradoxical recommendation behaviour by analysing data collected from 303 FDA users through Prolific. The findings also support the mediation effect of trust and the moderation effect of advertisement overload on the identified associations, making interesting theoretical and practical contributions.publishedVersio
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
Analysis of Working Capital, ROA and Business Turnover for Firms in the FMCG, Manufacturing and Infrastructure Sectors in India
No full textThis research examines the relationship between working capital, buniness turnover and ROA for listed Indian firms in the fast moving consumer goods (FMCG), manufacturing and infrastructure sectors. Annual accounting data collected over a decade has been analysed using both, OLS regression of independent samples as well as panel data study of pooled sample. The study tested the association between working capital and business turnover and working capital and return on assets. The results of regression run separately for each firm representing the sectors under the study support the hypotheses of the study only partially. However, the outcome of panel data analysis supports both the hypotheses for listed firms in India. The the study offers some key takeaways for the decision makers planning their working capital management strategies
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