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

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

Research output: Chapter in Book/Report/Conference proceedingChapter

2 Citations (Scopus)

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.

Original languageEnglish
Title of host publicationStudies on Entrepreneurship, Structural Change and Industrial Dynamics
PublisherSpringer Nature
Pages129-152
Number of pages24
DOIs
Publication statusPublished - 2018
Externally publishedYes

Publication series

NameStudies on Entrepreneurship, Structural Change and Industrial Dynamics
ISSN (Print)2511-2023
ISSN (Electronic)2511-2031

Keywords

  • Business performance analytics
  • Data science
  • Entrepreneurship
  • Scientometrics
  • Strategy
  • Technology innovation management
  • University-industry collaborations

ASJC Scopus subject areas

  • Management Information Systems
  • Business, Management and Accounting (miscellaneous)
  • Economics, Econometrics and Finance (miscellaneous)
  • Management of Technology and Innovation

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