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 various fields are coming into the spotlight not only from scholarly communities but also the popular press. 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 practical examples arising from several collaborative projects that address university–industry collaborations, the impact of technology-based activities, the measurement of scientific productivity, performance measurement, and business analytics. Implications for using data science in entrepreneurship and management research are discussed.

Collaborative practices and multidisciplinary research: The dialogue between entrepreneurship, management, and data science

Riccardo Fini;Monica Bartolini;Paolo Ciancarini;Angelo Di Iorio;Marcello Maria Mariani;Silvio Peroni;Francesco Poggi;Riccardo Silvi;Maurizio Sobrero;Laura Toschi
2018

Abstract

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 various fields are coming into the spotlight not only from scholarly communities but also the popular press. 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 practical examples arising from several collaborative projects that address university–industry collaborations, the impact of technology-based activities, the measurement of scientific productivity, performance measurement, and business analytics. Implications for using data science in entrepreneurship and management research are discussed.
Rethinking entrepreneurship education: the role of collaborative practices and innovation
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Riccardo Fini, Monica Bartolini, Stefano Benigni, Paolo Ciancarini, Angelo Di Iorio, Alan Johnson, Marcello Maria Mariani, Silvio Peroni, Francesco Poggi, Einar Rasmussen, Riccardo Silvi, Maurizio Sobrero, Laura Toschi
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11585/651532
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