1,720,955 research outputs found
Self-love, growth, and competition in a public good game
No full textCompetition and cooperation are not always at odds and contributions to public goods are almost never one-off one-shot temporally isolated events. We examine voluntary contribution in a new public good experiment where "self-love" competitive motivations and time dynamic interdependencies are simultaneously considered. The competitive motivations are manipulated via subjects competing in each group (intragroup competition) for higher return factors on their public expenditure, whereas time dynamic interdependencies are modeled by letting returns from previous periods available for future contributions to public goods (CG). We ran two control conditions where intragroup competition (C) and time dynamic interdependencies (G) are separately implemented. Our findings showed that shares of endowment contributed were significantly greater and increasing over time when endowments growth and heterogeneous returns factors were simultaneously introduced. This effect can be attributed to return factors obtained in previous periods. Accordingly, wealth exponential growth has been greatly accelerated relative to our control condition. Distributive equity concerns have been also documented. Although Gini coefficients were significantly lower in the presence of heterogeneous return factors and endowments growth, inequality trends seemed to converge at control condition values in the long term
Exploring the impact of targeted communication on customer experience: A natural experiment
No full textThe decision-making process of consumers often remains a “black box,” influenced by a myriad of factors driving their choices. This paper shows how well-targeted communication can enhance customer experiences. By utilizing specific intercom announcements to encourage customers to seek staff assistance, the study assesses how this proactive engagement might improve the perceived quality of the shopping experience. The experiment specifically explores whether targeted communication can mitigate customer dissatisfaction arising from product unavailability or lack of suitable alternatives, a common issue known as the “out of stock” problem. Our findings reveal that this communication strategy significantly enhances customer experiences, demonstrating its effectiveness across diverse consumer segments. This research contributes to the existing body of literature on consumer decision-making and communication by offering a practical approach to elevate customer experiences through strategic communication. The experimental design and methodology employed in this study provide a nuanced understanding of how communication impacts customer satisfaction, presenting valuable insights for marketers and businesses focused on boosting customer satisfaction and loyalty. By bridging the gap between theoretical frameworks and practical applications, this study underscores the critical role of targeted communication in resolving common retail challenges and improving overall customer engagement. The implications of these findings suggest that businesses can substantially benefit from implementing such communication strategies to foster a more satisfying and loyal customer base
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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