1,720,957 research outputs found

    Design Choices and Adoption Processes: from Engineering Designed Products to Services

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    L'abstract è presente nell'allegato / the abstract is in the attachmen

    An Ontological Framework to Link Marketing and Design

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    Communication issues between people with different backgrounds within the same product development team are commonplace. The causes are many, including cultural differences and language barrier. Moreover, cooperation was proved to be strongly correlated with new product success. In the present study, we studied language differences in order to overcome the debate on them by providing a framework able to help both marketers and designers. The framework is based on three design variables (Function-Behaviour-Structure), a set of 77 products and eight consumer behaviour theories. Connecting these three dimensions helps marketers to address customer needs towards specific design aspects

    A Decision Support Model to Assess Technological Paradigms

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    Envisioning the emergence of a new technological paradigm involves several issues, spanning from strategic assessments and managerial actions to design decisions and technology related choices. The present study focuses on this latter perspective, by proposing a model that estimates the success probability of innovative products as a function of design actions. The focus on the design decisions that underlie radical shifts is not conflicting, but complementary to the more traditional perspectives. The model is based on a database of past successful and unsuccessful innovations, which are used to build a logistic regression model, whose evidences can assist both designers and managers. The former get advice on how specific design choices affect product perception, while the latter are supported in addressing resources to the most promising projects

    Speed of Diffusion, Rethinking Time and Firms' strategy: Analysis of the interactions to leap across the chasm

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    Although the literature has recognised short time to market and early entry as relevant factors, they are not enough alone to ensure success. In fact, an early entrant may successfully serve early adopters, but then fail in developing products suitable for those who adopt later (i.e., the early majority), dissipating the first-mover advantages previously gained. This paper argues that the likelihood of being successful in the early majority segment depends also on the rethinking time, defined as the time available to firms serving early adopters for planning and developing products that will be offered to the upcoming early majority segment. The rethinking time is here analytically defined through the Bass model and its relationship with product success is investigated. The paper shows that the market leader in the early majority segment is expected to be the incumbent when rapid diffusion occurs and, conversely, new entrants when rethinking time is longer

    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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