Data science for entrepreneurship research studying demand dynamics for entrepreneurial skills in the Netherlands

• Published in: Small business economics Vol. 55; no. 3; pp. 651 - 672
• Main Authors: Prüfer, Jens, Prüfer, Patricia
• Format: Journal Article
• Language: English
• Published: New York Springer Science + Business Media 01.10.2020; Springer US; Springer Nature B.V
• Subjects: Artificial intelligence; Business and Management; Computer science; Data science; Entrepreneurs; Entrepreneurship; Industrial Organization; Labor market; Management; Microeconomics; Politics; Power; Science; Skills; Vacancies; Netherlands; L26; C55; C87; Entrepreneurship; Machine learning; Data science; Big data; Entrepreneurial skills; Artificial intelligence; C50; O32
• ISSN: 0921-898X; 1573-0913
• DOI: 10.1007/s11187-019-00208-y

The recent rise of big data and artificial intelligence (AI) is changing markets, politics, organizations, and societies. It also affects the domain of research. Supported by new statistical methods that rely on computational power and computer science—data science methods—we are now able to analyze...