1,720,958 research outputs found

    Knowledge intensive entrepreneurship: from the entrepreneurial intention to start-up and growth

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    Il presente lavoro mira ad analizzare l’intero processo imprenditoriale, partendo dallo studio dell’ecosistema, attraverso l’analisi dei fattori che influenzano la propensione imprenditoriale, fino alla costituzione della nuova impresa e il ruolo che un incubatore può avere nel suo sviluppo. L’analisi dell’ecosistema imprenditoriale si focalizza sulla definizione degli attori che lo compongono, le relazioni tra di essi e sulle politiche che dovrebbero essere implementate per la creazione di un ecosistema funzionante. Non esiste una “formula” prestabilita; ogni “area geografica” deve trovare un suo modello, che risulta essere unico. La seconda parte del lavoro si focalizza sulle fonti dell’offerta imprenditoriale. In particolare viene studiata la propensione imprenditoriale di un campione di studenti dell’Università Politecnica delle Marche. La scelta di analizzare un campione di studenti universitari nasce dalla possibilità di anticipare i trend futuri dell’attivazione imprenditoriale in settori ad alto contenuto di conoscenza. In linea con i risultati già ottenuti, i dati mostrano come la propensione imprenditoriale è influenzata da un ampio numero di fattori che possono essere raggruppate in variabili psicologiche, sociali e di contesto. Ma, nello stesso tempo, si evidenziano alcune differenze: l’università assume un ruolo centrale nello stimolo alla propensione imprenditoriale; il contesto istituzionale non influenza la probabilità di uno studente di attivarsi a livello imprenditoriale; il supporto della famiglia e il “role model” dei genitori influiscono con rilevanti differenze di genere. E’ interessante notare, che in paese come l’Italia, caratterizzato da imprese familiari e dal ruolo fondamentale del social network dell’imprenditore, il supporto della famiglia non influenza la probabilità di diventare imprenditori, se si considera il campione degli studenti analizzato. Il passaggio da “manifestazione della propensione di attivazione imprenditoriale” a “costituzione della nuova società” è caratterizzato da un alto tasso di “abbandono”. Questo passaggio viene analizzato attraverso le dinamiche che si creano in un campione di 380 “potenziali” imprenditori durante l’attività di scouting svolta nell’incubatore d’imprese JCube. L’analisi oltre a generare molti dati qualitativi, ha permesso di capire meglio le principali cause di abbandono nella fase pre-start-up, così da fornire indicazioni di policy sia a livello istituzione sia a livello di soggetti, come gli stessi incubatori d’impresa, che supportano i neo-imprenditori con servizi specializzati

    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

    Fostering female entrepreneurship in academic spin-offs

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    We aim at analyzing female participation in Italian academic spin-offs using publically available data and a unique hand-collected database of all academic spin-offs set up in Italy from 2002 to 2007. We base our study on three complementary levels of analysis: macro, meso, and micro level. We show that the gender gap in academic spin-offs is relevant and that a certain degree of spatial heterogeneity-possibly reflecting cultural and environmental differences between Italian provinces-exists. Furthermore, our findings show a disadvantage of females in the startup funding phase: an unfavorable circumstance that reduces their chances of success and force them to create new businesses mainly in the service sector. Social relationships and empathy among females may help compensate their disadvantages and break down barriers to entrepreneurship

    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

    Author Index

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