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":"合作实践与多学科研究:创业、管理与数据科学之间的对话","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":"{\"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}","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}
Collaborative Practices and Multidisciplinary Research: The Dialogue Between Entrepreneurship, Management and Data Science
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.