1,720,967 research outputs found
ENTREPRENEURIAL ORIENTATION, AGGLOMERATION, NETWORKS AND FIRMS’ PERFORMANCE - EMPIRICAL EVIDENCE FROM THE ITALIAN WINE SECTOR
No full textThis paper contributes to literature on entrepreneurship, by providing insights on the impact of Entrepreneurial Orientation (EO) on the performance of Small and-Medium-sized Enterprises (SMEs). Particularly, the study explores to what extent agglomerations of firms (i.e., firm clusters) can influence SMEs performance, as well as being part of a territorial network, in which firms can exchange resources and knowledge. EO can be conceived as a general attitude of entrepreneurs in managing their firms (e.g., strong orientation to innovate and take risks, Morris and Paul, 1987). Analyzing EO can be helpful in understanding the agglomerating, and networking patterns of firms, as well as their performance (e.g., Acs and Armington, 2004; Acs and Varga, 2005; Aghion et al., 2009; Fritsch and Mueller, 2008; Acs et al., 2010; Bosma et al., 2011). Albeit literature has recognized agglomerations as surely having an impact on firm performance, it is not clear whether this impact is positive (e.g., Harrison, 1992; Krugman, 1991; Marshall, 1920), or negative (e.g., Buenstorf and Guenther, 2011). Although in recent years there was an increasing academic attention in understanding differences in performances between agglomerating and non-agglomerating firms, results of research still appear fragmented and inconsistent (e.g., Klumbies and Bausch, 2011). Research has long recognized the importance of networks in fostering innovation. However, interest in understanding their complex evolutionary dynamics is relatively recent (Martin and Sunley, 2006; Glückler, 2007; Giuliani and Bell, 2008; Boschma and Frenken, 2010; Martin, 2010; Menzel and Fornhal, 2010; Boschma and Fornahl, 2011; Martin and Sunley, 2011; Staber, 2011; Ter Wal and Boschma, 2011; Balland, 2012; Balland et al., 2012; Li et al., 2012). Contributions on this topic suggest that, changes in the evolutionary patterns of networks can be considered as predictors -at least partially- of the likely future success or failure of an agglomeration (i.e., cluster). Hence, networks and their evolutionary patterns appear to have an impact on the performance of single participating firms. According to the above considerations, this paper provides an exploration of the impact of EO on firm performance, considering agglomeration and network (i.e., the firm being part of a network) as moderating variables in the relationship EO-performance. The paper focuses on the Italian wine industry, one of the most important sectors in agri-food production in Italy, and one of the most recognizable Italian excellences. The wine industry is considered as an emblematic case study for agglomerating effects, given that a similar firm clustering is present among wine industries all over the world (hence, with comparable characteristics, e.g.,
Cusmano et al, 2010; Bell and Giuliani, 2007).
After providing some measurement of agglomeration (using Moran’s LMi statistic), the paper presents the moderate regression that has been performed on data from a sample of 234 Italian wine firms (collected through the administration of a structured questionnaire). Results confirm the importance of agglomeration and entrepreneurial risk taking attitude on performance, but providing no significant evidence on the role of network
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
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
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
koamabayili/VECTRON-author-checklist: VECTRON author checklist
No full textWe 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
- …
