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

Riccardo Fini (), Monica Bartolini, Stefano Benigni, Paolo Ciancarini, Angelo Iorio, Alan Johnson, Marcello Maria Mariani, Silvio Peroni, Francesco Poggi, Einar Rasmussen, Riccardo Silvi, Maurizio Sobrero () and Laura Toschi
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Monica Bartolini: University of Bologna
Stefano Benigni: Imperial College Business School
Paolo Ciancarini: University of Bologna
Angelo Iorio: University of Bologna
Alan Johnson: Nord University Business School
Marcello Maria Mariani: University of Reading
Silvio Peroni: University of Bologna
Francesco Poggi: University of Bologna
Einar Rasmussen: Nord University Business School
Laura Toschi: University of Bologna

A chapter in Rethinking Entrepreneurial Human Capital, 2018, pp 129-152 from Springer

Abstract: 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.

Keywords: Entrepreneurship; Data science; University-industry collaborations; Technology innovation management; Scientometrics; Strategy; Business performance analytics (search for similar items in EconPapers)
Date: 2018
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DOI: 10.1007/978-3-319-90548-8_7

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