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.
Riccardo Fini, M.B. (2018). Collaborative practices and multidisciplinary research: The dialogue between entrepreneurship, management, and data science. Zurigo : Springer International Publishing [10.1007/978-3-319-90548-8_7].
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.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.