1,721,087 research outputs found
Les déterminants de l'innovation dans les services : une analyse à partir des formes d'innovation
No full textThis article makes a study of the influence of innovation determinants on their ability to innovate and the different types of innovation (technological and non-technological) developed within service sector. The statistics are provided from the community Innovation Survey. The estimation method is a probit with selection from the framework proposed by Heckman (1979) and refined by Van De Ven and Van Praag (1981). The first equation explains the innovative capacity and the second explicates the implementation of different types of innovation (technological and / or non-technological). The analysis focuses on the comparison of innovation behaviors in service sector and industry. The results demonstrate that the determinants of innovation ability are similar for service sector and industry and the differences are issued from different forms of innovation developed. More precisely, it comes from the orientation of each sector towards more or less technological innovation. The results bring up the question of the appropriateness of current policies of innovation especially in R&D' promotion. The author proposes to take into account the consideration of different types of activities and innovation for this policy and suggests to focus on the lowtechnological but innovative and non-technological activities like intellectual services
Going 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
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
Les déterminants de l'innovation : une analyse comparative service/industrie à partir des formes d'innovation développées
No full textInternational audienceThis article analyses some main determinants on the ability to innovate depending on the different types of innovation (technological and non-technological) and comparing the service and industry sectors. Data comes from the Community Innovation Survey (CIS2008). The estimation method is a probit with selection from the framework proposed by Heckman (1979) and refined by Van de Ven and Van Praag (1981). The first equation explains the capacity of firms to invest in innovation activity while the second explains their choice between the different types of innovation (technological and / or non-technological). The results demonstrate that the determinants of innovation ability are similar within service sector and industry, differences being mainly explained by the relative importance of the different forms of innovation developed in each sector. Such results bring up the question of the appropriateness of current policies of innovation which are principally oriented towards the support of R&D activities. The author proposes to take into account different types of activities and innovation when defining policy's instruments and proposes a better focus on the low technological but non-technological innovative activities like intellectual services.Cet article étudie l'effet des déterminants de l'innovation sur la capacité à innover et sur les formes d'innovation (technologique et non technologique) développées et compare les comportements au sein du secteur des services et de l'industrie. Les données sont issues de l'enquête communautaire sur l'innovation CIS2008. Le modèle estimé est un probit avec sélection issu du cadre d'analyse proposé par Heckman (1979) et raffiné par Van de Ven and Van Praag (1981) dans lequel la première équation explique la capacité à mener des activités d'innovation et la seconde le choix entre les différentes formes d'innovation (technologique et/ou non technologique). Les résultats montrent que les déterminants de la capacité à innover sont similaires au sein des services et de l'industrie, les différences s'expliquant plus par l'importance relative des différentes formes d'innovation développées. Ces résultats posent la question de la pertinence des politiques actuelles d'innovation, principalement tournée vers la promotion de la R&D. L'auteur propose la prise en compte de l'intensité en connaissances des activités et des formes d'innovation pour ce type de politique et suggère une intervention plus spécifique à l'égard des activités à faible contenu technologique et principalement innovante en non-technologie (services intellectuels par exemple)
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
Les déterminants de l'innovation : une analyse comparative service/industrie à partir des formes d'innovation développées
No full textInternational audienceThis article analyses some main determinants on the ability to innovate depending on the different types of innovation (technological and non-technological) and comparing the service and industry sectors. Data comes from the Community Innovation Survey (CIS2008). The estimation method is a probit with selection from the framework proposed by Heckman (1979) and refined by Van de Ven and Van Praag (1981). The first equation explains the capacity of firms to invest in innovation activity while the second explains their choice between the different types of innovation (technological and / or non-technological). The results demonstrate that the determinants of innovation ability are similar within service sector and industry, differences being mainly explained by the relative importance of the different forms of innovation developed in each sector. Such results bring up the question of the appropriateness of current policies of innovation which are principally oriented towards the support of R&D activities. The author proposes to take into account different types of activities and innovation when defining policy's instruments and proposes a better focus on the low technological but non-technological innovative activities like intellectual services.Cet article étudie l'effet des déterminants de l'innovation sur la capacité à innover et sur les formes d'innovation (technologique et non technologique) développées et compare les comportements au sein du secteur des services et de l'industrie. Les données sont issues de l'enquête communautaire sur l'innovation CIS2008. Le modèle estimé est un probit avec sélection issu du cadre d'analyse proposé par Heckman (1979) et raffiné par Van de Ven and Van Praag (1981) dans lequel la première équation explique la capacité à mener des activités d'innovation et la seconde le choix entre les différentes formes d'innovation (technologique et/ou non technologique). Les résultats montrent que les déterminants de la capacité à innover sont similaires au sein des services et de l'industrie, les différences s'expliquant plus par l'importance relative des différentes formes d'innovation développées. Ces résultats posent la question de la pertinence des politiques actuelles d'innovation, principalement tournée vers la promotion de la R&D. L'auteur propose la prise en compte de l'intensité en connaissances des activités et des formes d'innovation pour ce type de politique et suggère une intervention plus spécifique à l'égard des activités à faible contenu technologique et principalement innovante en non-technologie (services intellectuels par exemple)
Les déterminants de l'innovation : une analyse comparative service/industrie à partir des formes d'innovation développées
No full textInternational audienceThis article analyses some main determinants on the ability to innovate depending on the different types of innovation (technological and non-technological) and comparing the service and industry sectors. Data comes from the Community Innovation Survey (CIS2008). The estimation method is a probit with selection from the framework proposed by Heckman (1979) and refined by Van de Ven and Van Praag (1981). The first equation explains the capacity of firms to invest in innovation activity while the second explains their choice between the different types of innovation (technological and / or non-technological). The results demonstrate that the determinants of innovation ability are similar within service sector and industry, differences being mainly explained by the relative importance of the different forms of innovation developed in each sector. Such results bring up the question of the appropriateness of current policies of innovation which are principally oriented towards the support of R&D activities. The author proposes to take into account different types of activities and innovation when defining policy's instruments and proposes a better focus on the low technological but non-technological innovative activities like intellectual services.Cet article étudie l'effet des déterminants de l'innovation sur la capacité à innover et sur les formes d'innovation (technologique et non technologique) développées et compare les comportements au sein du secteur des services et de l'industrie. Les données sont issues de l'enquête communautaire sur l'innovation CIS2008. Le modèle estimé est un probit avec sélection issu du cadre d'analyse proposé par Heckman (1979) et raffiné par Van de Ven and Van Praag (1981) dans lequel la première équation explique la capacité à mener des activités d'innovation et la seconde le choix entre les différentes formes d'innovation (technologique et/ou non technologique). Les résultats montrent que les déterminants de la capacité à innover sont similaires au sein des services et de l'industrie, les différences s'expliquant plus par l'importance relative des différentes formes d'innovation développées. Ces résultats posent la question de la pertinence des politiques actuelles d'innovation, principalement tournée vers la promotion de la R&D. L'auteur propose la prise en compte de l'intensité en connaissances des activités et des formes d'innovation pour ce type de politique et suggère une intervention plus spécifique à l'égard des activités à faible contenu technologique et principalement innovante en non-technologie (services intellectuels par exemple)
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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