1,721,195 research outputs found
The importance of attribute interactions in conjoint choice design and modeling.
Get PDFWithin the context of choice experimental designs, most authors have proposed designs for the multinomial logit model under the assumption that only the main effects matter. Very little attention has been paid to designs for the attribute interaction models. In this paper, we present Bayesian D-optimal interaction-effects designs for the multinomial logit models and compare their predictive performances with those of main-effects designs. We show that in situations where a researcher is not sure whether or not the attribute interaction effects are present, incorporating interaction effects into both design stage and model estimation stage is most robust against misspecification of the underlying model for making precise predictions.Bayesian; Choice; Interaction effects; Experimental design; Predictions; Multinomial logit;
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe 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
sj-pdf-1-jsr-10.1177_10946705211031302 – Supplemental Material for Service Research Priorities: Designing Sustainable Service Ecosystems
No full textSupplemental Material, sj-pdf-1-jsr-10.1177_10946705211031302 for Service Research Priorities: Designing Sustainable Service Ecosystems by Joy M. Field, Darima Fotheringham, Mahesh Subramony, Anders Gustafsson, Amy L. Ostrom, Katherine N. Lemon, Ming-Hui Huang and Janet R. McColl-Kennedy in Journal of Service Research</p
sj-pdf-2-jsr-10.1177_10946705211031302 – Supplemental Material for Service Research Priorities: Designing Sustainable Service Ecosystems
No full textSupplemental Material, sj-pdf-2-jsr-10.1177_10946705211031302 for Service Research Priorities: Designing Sustainable Service Ecosystems by Joy M. Field, Darima Fotheringham, Mahesh Subramony, Anders Gustafsson, Amy L. Ostrom, Katherine N. Lemon, Ming-Hui Huang and Janet R. McColl-Kennedy in Journal of Service Research</p
Are loyalty program members really engaged? Measuring customer engagement in loyalty programs
No full textIn a quest to engage customers in long-lasting relationships, many firms rely on loyalty programs (LPs). They do fairly well in acquiring new members of LPs, but firms often fail to engage them in the long term. This article seeks to understand what engagement in LPs is, how to measure it, and how it relates to company engagement. With four studies, the authors conceptualize LP engagement as six behavioral manifestations: proactively using cards, redeeming points, adapting purchase behavior, being receptive to information, sharing information, and searching for information. The 20-item scale proposed to measure these behaviors provides a viable, novel tool for determining customers' LP engagement. Whereas previous research on LPs mainly considers card usage or point redemption behaviors as proxies for customers' LP engagement, the current research shows that these behaviors are insufficient indicators of the actual level of engagement in LPs
Variations on the Author
Get PDF“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
Get PDFWe 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
Get PDFWe 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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