1,721,062 research outputs found
Methods and Measures That Profile Heavy Users
Heavy users can be a critical segment for packaged-goods marketers to target. Yet many attempts to profile heavy users have proven to be unsuccessful because of methodological and measurement problems. This article shows the diagnostic shortcomings of the commonly used mean comparison method of heavy-user segmentation, and it presents a clustering method that effectively differentiates different types of heavy users from light users. Characteristics that differentiate heavy users from light users were collected from academic and commercial studies and are shown to relate to five basic lifestyle factors and six personality factors. While providing a key starting point for studying heavy users, they also show the dominant role that personality characteristics (versus lifestyle or demographic characteristics) play in differentiating heavy users from light users
Sensory Suggestiveness and Labeling: Do Soy Labels Bias Taste?
Can labels suggestively influence sensory perceptions and taste? Using a "Phantom Ingredient" taste test, we show that the presence or absence of a labeled ingredient (soy) and the presence or absence of a health claim negatively bias taste perceptions toward a food erroneously thought to contain soy. We found a label highlighting soy content made health claims believable but negatively influenced perceptions of taste for certain segments of consumers. Our results and discussion provide better direction for researchers who work with ingredient labeling as well as for those who work with soybean products
At the movies: how external cues and perceived taste impact consumption volume
External cues such as packaging and container size can powerfully and unknowingly increase how much food a person consumes. Do they still, however, stimulate consumption as the perceived favorability of a food declines? This was examined with popcorn in a theatre setting. Moviegoers who had rated the popcorn as tasting relatively unfavorable ate 61% more popcorn if randomly given a large container than a smaller one. Moviegoers who had rated the popcorn as relatively favorable ate 49% more when the container size was increased (and were likely to eat greater amounts if accompanied with a person of the opposite sex). One reason for this increase was that consumers had more difficulty monitoring how much they ate from large containers. Implications for raising the consumption levels of healthy, but unfavorable foods are investigated. (C) 2001 Elsevier Science Ltd. All rights reserved
Segmentation Approaches that Differentiate Consumption Frequency from Sensory Preference
People can eat a food without having a strong preference for it, and people can prefer a food without eating it. Given this seeming disconnect between attitude and behavior, which type of measure or segment can best be used to profile or identify loyal consumer segments of a food, such as soy? This research compares a usage-based method (heavy-light-nonusers) with a new attitude-based method (seeker-neutral-avoider), and finds that the attitude-based method differentiates purchase-related intentions better than the usage-based method. Implications for profiling consumer taste patterns and consumer segments are provided
HOW SOY LABELING INFLUENCES PREFERENCE AND TASTE
Using a “Phantom Ingredient” taste test, this article demonstrates how the use of soy labels and health claims on a package negatively biased taste perceptions and attitudes toward a food erroneously thought to contain soy. Consumers who ate products which mentioned soy on the package described the taste more grainy, less flavorful, and as having a strong aftertaste compared to those who ate the product but saw no soy label. Yet, while putting “soy” on a package negatively influenced taste-conscious consumers, when combined with a health claim, it improved attitudes among consumers who are health-conscious, natural food lovers, or dieters. Our results and discussion provide better direction for researchers who work with ingredient labeling as well as for marketers who work with soybean products.Food Consumption/Nutrition/Food Safety,
Going Beyond Counting First Authors in Author Co-citation Analysis
The 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
“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
We 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
We 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
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