1,721,012 research outputs found

    Modeling and Solving the Rush Hour puzzle

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    We introduce the physical puzzle Rush Hour and its generalization. We briefly survey its complexity limits, then we model and solve it using declarative paradigms. In particular, we provide a constraint programming encoding in MiniZinc and a model in Answer Set Programming and we report and compare experimental results. Although this is simply a game, the kind of reasoning involved is the same that autonomous vehicles should do for exiting a garage. This shows the potential of logic programming for problems concerning transport problems and self-driving cars

    The multi-sensory sort (MuSeS): a new projective technique to investigate and improve the brand image

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    Purpose – In the literature, there is a lack of tools able to catch the symbolic dimension of the brand image, which go beyond rational and emotional dimensions. This paper aims to find and test a new instrument, named “Multi-Sensory Sort” (MuSeS). Design/methodology/approach – MuSeS, a direct methodology of exploring the consumer's symbolic universe and the unconscious expectations, is composed of a set of projective techniques based on multi-sensory stimuli. Findings – The results showed how MuSeS allows one to collect in-depth data, otherwise difficult to obtain through other kinds of surveys. Practical implications – MuSeS is able to measure both the consumers' perceptions about the brand image concept (its potentials) and the characteristics that the customer wishes to find in the brand image (brand image future development). Originality/value – Most of the tools created to investigate the brand image are based on questionnaires with attitude scales; this assumes that the brand image is a conscious and fully verbalized construct. The paper started from another assumption, trying to measure the non-verbal and the unconscious brand image aspects, using instruments derived both from psychology and marketing

    Under the Reputation Umbrella: an Integrative and Multidisciplinary Review for Corporate Image, Projected Image, Construed Image, Organizational Identity, and Organizational Culture

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    Purpose of this paper: Currently, in literature, words such as “corporate image,” “projected image,” “construed image,” “reputation,” “organizational identity,” and “organizational culture” are often confused and superimposed. This creates a conceptual mismatch that leads to results that are hard to compare. Moreover, this leads to difficulty in individuating the correct tools to investigate these constructs. Part of this confusion is due to the lack of a framework shared by different literatures. The aim of this paper is, firstly, to propose a reasoned review of the literatures related to these constructs. Secondly, we propose a new framework and a standard terminology, in which reputation is the wider construct that includes and relates to the others. Design/methodology/approach: We did an extensive and multidisciplinary review in the twelve most used databases within corporate communication, organizational psychology, marketing, organizational studies, management, and business. A semiotic and relational approach was implemented as modus operandi. Findings: We built upon the previous literature clarifying labels and constructs and identifying a standard terminology, on which future studies can refer to in order to facilitate a multidisciplinary dialog along different disciplines. What is original/value of paper: To the authors' knowledge, this is the first review that takes into consideration all of these seven constructs together and relates them within one framework. Moreover, it uses a novel approach in seeing “reputation” as an umbrella construct under which all the other constructs are grouped and included

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    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

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    “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

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    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

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    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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