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Collaborative Practices and Multidisciplinary Research: The Dialogue Between Entrepreneurship, Management and Data Science

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Bibliographic Details
Authors and Corporations: Fini, Riccardo (Author), Bartolini, Monica (Other), Benigni, Stefano (Other), Ciancarini, Paolo (Other), Di Iorio, Angelo (Other), Johnson, Alan R. (Other), Mariani, Marcello M. (Other), Peroni, Silvio (Other), Poggi, Francesco (Other), Rasmussen, Einar (Other), Silvi, Riccardo (Other), Sobrero, Maurizio (Other), Toschi, Laura (Other)
Other Authors: Bartolini, Monica [Other] • Benigni, Stefano [Other] • Ciancarini, Paolo [Other] • Di Iorio, Angelo [Other] • Johnson, Alan R. [Other] • Mariani, Marcello M. [Other] • Peroni, Silvio [Other] • Poggi, Francesco [Other] • Rasmussen, Einar [Other] • Silvi, Riccardo [Other] • Sobrero, Maurizio [Other] • Toschi, Laura [Other]
Type of Resource: E-Book
Language: English
published:
[S.l.] SSRN [2019]
Series: Rethinking entrepreneurship education: the role of collaborative practices and innovation (Bosio G., Minola T., Origo F. and Tomelleri S.) Springer, ISBN 978-3-319-90548-8
Source: Verbunddaten SWB
Lizenzfreie Online-Ressourcen
Description
Summary: Digital technologies and their applications are systematically altering established practices and making new ones emerge in different realms of society. Research in social sciences in general and management in particular is no exception, and several examples that span a variety of fields are coming into the spotlight not only from scholarly communities but also the popular press. To join this conversation, in this chapter we focus on how management and entrepreneurship research can benefit from ICT technologies and data science protocols. First, we discuss recent trends in management and data science research to identify some commonalities. Second, we combine both perspectives and present some evidence arising from different collaborative projects addressing: university-industry collaborations, the impact of technology-based activities, the measurement of scientific productivity, as well as performance measurement and business analytics. Implications for collaborative practices in entrepreneurship research are discussed
Item Description: Nach Informationen von SSRN wurde die ursprüngliche Fassung des Dokuments January 11, 2018 erstellt
Physical Description: 1 Online-Ressource (21 p)
DOI: 10.2139/ssrn.3081354
Access: Open Access