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

R. Fini, Monica Bartolini, Stefano Benigni, P. Ciancarini, Angelo Di Iorio, Alan R. Johnson, Marcello M. Mariani, S. Peroni, Francesco Poggi, Einar Rasmussen, R. Silvi, M. Sobrero, L. Toschi
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引用次数: 1

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 a variety of fields are coming into the spotlight not only from scholarly communities but also the popular press. To join this conversation, 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 evidence arising from different collaborative projects addressing: university-industry collaborations, the impact of technology-based activities, the measurement of scientific productivity, as well as performance measurement and business analytics. Implications for collaborative practices in entrepreneurship research are discussed.
合作实践与多学科研究:创业、管理与数据科学之间的对话
数字技术及其应用正在系统地改变既有做法,并使新的做法出现在社会的不同领域。一般社会科学,特别是管理学的研究也不例外,一些跨越不同领域的例子不仅受到学术界的关注,也受到大众媒体的关注。为了加入这一对话,在本章中,我们将重点关注管理和创业研究如何从信息通信技术和数据科学协议中受益。首先,我们讨论了管理和数据科学研究的最新趋势,以确定一些共性。其次,我们结合了这两种观点,并提出了一些来自不同合作项目的证据,这些合作项目涉及:大学-产业合作、基于技术的活动的影响、科学生产力的衡量,以及绩效衡量和商业分析。讨论了创业研究中协作实践的意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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