1,721,415 research outputs found
AHP AND DEA: AN ALTERNATIVE APPROACH TO EVALUATING ONLINE REVIEWS
No full textThe use of the Internet and its applications has radically transformed the ways in which
consumers communicate, obtain information and make purchasing decisions. This work
aims to identify innovative solutions to facilitate and make the process of searching and
booking restaurant services by users who use digital platforms more efficient. The main
objective is to analyze the intrinsic complexity of the user’s decision-making process,
highlighting the main critical issues and difficulties with perception and possible
information distortions, in order to design a support tool capable of offering a highly
personalized and high-quality choice experience. The contribution proposes an advanced
decision-making model that integrates the use of two multi-criteria methodologies: the
Analytic Hierarchy Process (AHP) and the Data Envelopment Analysis (DEA). These
tools make it possible to simultaneously consider a multiplicity of qualitative and
quantitative criteria, configuring an evaluation much more adherent to the real
preferences of users. The combined adoption of these two approaches constitutes a
methodological innovation capable of providing each user with a dynamic, personalized
and efficient search path, significantly improving the quality of decisions and the level of
perceived satisfaction. This model, which overcomes the limitations of traditional
recommendation systems based on simple averages is proposed as a reference tool for the
design of online platforms dedicated to catering, with potential extensions to other
service sectors
Multi-Criteria Decision Making in Industry 4.0: a Systematic Literature Review and Bibliometric Analysis
No full textGoing 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
Modeling false consensus
No full textA relevant component in the research on human reasoning is dominated by demonstrations of the
errors people make in various judgment and decision making tasks. In group decision making
problems, given the importance of obtaining an accepted solution by the whole group, the
consensus has attained a great attention and it is virtually a major goal of these problems. In our
study, the main novelty of the consensus model, which is modeled within fuzzy set theory by
ordered weighted averaging operators, is that of being guided by both consensus and false
consensus effects. False consensus refers to an egocentric bias that occurs when people estimate
consensus for their own behaviors. The paper investigates the impact of the subjective contribution
that cannot be eliminated: it seems hard that in a pool of experts none tends to overestimate own
proper opinions, likely an expert necessarily is egocentric, just because he is an expert. What
implies the presence of some false consensus effect
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
Luigi Groto e il tema della cuccagna
No full textTroppo assediato da modelli alti, dalla difficoltà di far presa sul reale (immaginato nel dettaglio, inseguito tra le ombre della menomazione fisica), Luigi Groto non sembra particolarmente sensibile al tema della cuccagna, né nelle commedie né nelle rime né infine nelle lettere
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
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