Data Science for Entrepreneurship Research: Studying Demand Dynamics for Entrepreneurial Skills in the Netherlands

CentER Discussion Paper Series No. 2019-005

36 Pages Posted: 12 Feb 2019

See all articles by Jens Prufer

Jens Prufer

Tilburg University - CentER; Tilburg University - Department of Economics; Tilburg University - Law and Economics Center (TILEC)

Patricia Prufer

CentERdata; Tilburg University

Date Written: February 1, 2019

Abstract

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 data sets that can be huge, multidimensional, unstructured, and are diversely sourced. In this paper, we describe the most prominent data science methods suitable for entrepreneurship research and provide links to literature and Internet resources for self-starters. We survey how data science methods have been applied in the entrepreneurship research literature. As a showcase of data science techniques, based on a dataset of 95% of all job vacancies in the Netherlands over a 6-year period with 7.7 million data points, we provide an original analysis of the demand dynamics for entrepreneurial skills in the Netherlands. We show which entrepreneurial skills are particularly important for which type of profession. Moreover, we find that demand for both entrepreneurial and digital skills has increased for managerial positions, but not for others. We also find that entrepreneurial skills were significantly more demanded than digital skills over the entire period 2012-2017 and that the absolute importance of entrepreneurial skills has even increased more than digital skills for managers, despite the impact of datafication on the labor market. We conclude that further studies of entrepreneurial skills in the general population --- outside the domain of entrepreneurs --- is a rewarding subject for future research.

Keywords: Data science, Machine learning, Entrepreneurship, Entrepreneurial skills, Big Data

JEL Classification: L26, C50, C55, C87, O32

Suggested Citation

Prufer, Jens and Prufer, Patricia, Data Science for Entrepreneurship Research: Studying Demand Dynamics for Entrepreneurial Skills in the Netherlands (February 1, 2019). CentER Discussion Paper Series No. 2019-005. Available at SSRN: https://ssrn.com/abstract=3326534 or http://dx.doi.org/10.2139/ssrn.3326534

Jens Prufer (Contact Author)

Tilburg University - CentER ( email )

P.O. Box 90153
Tilburg, DC 5000 LE
Netherlands

Tilburg University - Department of Economics ( email )

P.O. Box 90153
Tilburg, 5000 LE
Netherlands

Tilburg University - Law and Economics Center (TILEC) ( email )

Warandelaan 2
Tilburg, 5000 LE
Netherlands

Patricia Prufer

CentERdata ( email )

PO Box 90153
Tilburg, NL 5000 LE
Netherlands

Tilburg University ( email )

Department of Economics
CentER
Tilburg, 5032 RE
Netherlands

HOME PAGE: http://center.uvt.nl/phd_stud/prufer/

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