1,720,956 research outputs found
Double-edged circularity: Comparative assessment of circular and non-circular consumers
No full textCircular consumption and disposal practices by consumers are increasingly viewed as more than just a current necessity. Nonetheless, the impacts of the marketing mix perception on perceived value, purchase intention, and circular purchase behavior and the impact of perceived risk on purchase intention and circular purchase behavior remain underexplored separately for circular and non-circular consumers. Similarly, few empirical studies have examined factors that affect circular disposal. Therefore, this study seeks to bridge these research voids and proposes a conceptual model with ten related research hypotheses. We collected data from 558 circular and 595 non-circular consumers in India. The structural equation modeling approach was employed to assess the strength of the proposed hypotheses separately for both consumer groups. The results confirm the positive impact of the marketing mix perception on purchase intention and self-reported purchase behavior for both consumer groups. Notably, the positive impact of the marketing mix perception on self-reported purchase behavior was found significant only for circular consumers. Moreover, the impact of purchase intention on self-reported purchase behavior was found insignificant for non-circular consumers. The results support the negative impact of perceived risks on both consumer groups' perceived value and purchase intentions. Lastly, the results reveal that circular disposal is positively impacted by self-reported purchase behavior and disposal convenience, and negatively impacted by disposal costs. However, the extent of these impacts varies significantly between circular and non-circular consumers. These results have important managerial implications for aligning non-circular consumers' perceptions, purchase intentions, and purchase and disposal behaviors toward circular products with those of circular consumers
What makes people hesitant from circularity: An analysis of risk, marketing mix, cost and inconvenience
No full textThe circular economy (CE) concept has attracted significant research and practical momentum. Nevertheless, knowledge about its relationships to consumption and disposal from consumers' standpoint is still fragmented. Most CE consumer-centric research ends with a consumer's intention to purchase. As a result, this study intends to fill several research gaps by presenting a framework that goes beyond purchase intention and, consequently, incorporates both actual purchase behaviour and circular disposal, as well as their predictors. We gathered survey data from 489 Indian consumers and the proposed research claims were tested by adopting a structural equation modelling approach. The findings demonstrate that pricing advantage and product quality negatively impact perceived risk and positively impact perceived value. The main results confirm that the perception towards marketing mix plays a significant role in generating positive purchase intention. Furthermore, the indirect influence of the perception towards marketing mix on actual purchase behaviour is stronger than the direct influence. Both actual purchase behaviour and disposal convenience positively impact circular disposal behaviour. Meanwhile, the higher disposal costs discourage customers from circular disposal. This research has important implications for researchers and managers seeking to understand how to foster the circularity rate among consumers
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
- …
