1,720,963 research outputs found

    Collaboration with scientific partners: the mediating role of managerial mechanisms

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    Open innovation literature suggests that firms can improve their innovation performance by learning from different actors and, among them, universities, research institutes and innovation intermediaries can play a relevant role. However, the success of such collaborations is still debated. In particular, the firms' internal organisational context seems to be crucial when explaining the success or failure of open innovation: firms attempting to leverage partners' knowledge must design an appropriate internal organisation, made up of organisational practices and managerial mechanisms. Despite this assumption, the role of the firm's internal context in fostering the success of open innovation is poorly investigated, in particular in the case of scientific partners (such as universities and research centres). Therefore, the aim of this study is to explore the relations among collaboration behaviour between a firm and scientific partners, managerial mechanisms and both sides of innovative performance (i.e. novelty and efficiency). Our study, based upon a survey research developed in Finland, Italy and Sweden, suggests that collaborations with scientific partners should be carefully managed, through the development and implementation of managerial mechanisms, in order to foster performance. These managerial mechanisms emerge just as the means (i.e. the mediator) through which the collaboration behaviour can foster innovative performance

    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

    Innovation Ambidexterity of Open Firms. The Role of Internal Relational Social Capital

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    The success of the open innovation (OI) paradigm is still debated and literature is searching for its determinants. Although firms’ internal social context is crucial to explain the success or failure of OI practices, such context is still poorly investigated. The aim of the paper is to analyse whether internal social capital (SC), intended as employees’ propensity to interact and work in groups in order to solve innovation issues, mediates the relationship between OI practices and innovation ambidexterity (IA). Results, based on a survey research developed in Finland, Italy and Sweden, suggest that collaborations with different typologies of partners (scientific and business) achieve good results in terms of IA, through the partial mediation of the internal SC

    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

    Author Index

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    Open innovation in low tech industries: the case of the food & drink industry

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    Both academics and managers are continuously asking to improve knowledge about the practice of open innovation, and invite researchers to include in their analysis traditional, low tech industries, which have been poorly investigated (Gassmann et al., 2010). While accepting this invitation, we focus our attention in a particular low tech industry - the food & drink industry (FDI) - that is in a transition phase because, although traditionally characterized by a low attitude towards OI, is recently opening its innovation processes, as a consequence of the evolution of the competitive context. Hence, a survey, involving 284 companies from three countries (UK, Italy and Spain) was developed. Results show that FDI can be outlined as a sector under increasing pressures to open. This is an important result, which adds to the current debate in the literature, which is still contrasting in understanding the role exerted by industry in the OI choices

    koamabayili/VECTRON-author-checklist: VECTRON author checklist

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    We have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
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