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
{"title":"Collaborative Practices and Multidisciplinary Research: The Dialogue Between Entrepreneurship, Management and Data Science","authors":"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","doi":"10.2139/ssrn.3081354","DOIUrl":null,"url":null,"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.","PeriodicalId":321365,"journal":{"name":"ERPN: Other Entrepreneurship","volume":"15 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-01-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ERPN: Other Entrepreneurship","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2139/ssrn.3081354","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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.