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 / Fini, Riccardo; Bartolini, Monica; Benigni, Stefano; Ciancarini, Paolo; Di Iorio, Angelo; Johnson, Alan; Maria Mariani, Marcello; Peroni, Silvio; Poggi, Francesco; Rasmussen, Einar; Silvi, Riccardo; Sobrero, Maurizio; Toschi, Laura. - (2018), pp. 129-152. [10.1007/978-3-319-90548-8_7]

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

Francesco Poggi;
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.
2018
Rethinking entrepreneurship education: the role of collaborative practices and innovation
G. Bosio T. Minola F. Origo and S. Tomelleri
978-3-319-90547-1
Springer International Publishing
SVIZZERA
Collaborative practices and multidisciplinary research: The dialogue between entrepreneurship, management, and data science / Fini, Riccardo; Bartolini, Monica; Benigni, Stefano; Ciancarini, Paolo; Di Iorio, Angelo; Johnson, Alan; Maria Mariani, Marcello; Peroni, Silvio; Poggi, Francesco; Rasmussen, Einar; Silvi, Riccardo; Sobrero, Maurizio; Toschi, Laura. - (2018), pp. 129-152. [10.1007/978-3-319-90548-8_7]
Fini, Riccardo; Bartolini, Monica; Benigni, Stefano; Ciancarini, Paolo; Di Iorio, Angelo; Johnson, Alan; Maria Mariani, Marcello; Peroni, Silvio; Poggi, Francesco; Rasmussen, Einar; Silvi, Riccardo; Sobrero, Maurizio; Toschi, Laura
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