@inbook{9f344cb30e5343b998623deff6156c26,
title = "The unlikely wedlock between data science and entrepreneurship",
abstract = "At first glance, data science and entrepreneurship are two seemingly unrelated fields of scientific research. In this introductory chapter of the book, we nonetheless try to bring together both disciplines, for which we introduce the concept of data entrepreneurship. We first discuss a number of well-known definitions of both data science and entrepreneurship, we disentangle them, and then we delineate striking differences and important similarities. We move on by discussing a number of prominent process models of both data science and entrepreneurship and again point at key differences and similarities in these typical processes. Both endeavors ultimately result in a conceptual framework that also forms the basis for the remainder of this book, which consists of sections on data engineering, data analytics, data entrepreneurship, and data and society, respectively.",
keywords = "Data science, Entrepreneurship, Data entrepreneurship, Process models, Data entrepreneurship framework, Data engineering, Data analytics, Data an society",
author = "{van den Born}, Arjan and Werner Liebregts and {van den Heuvel}, Willem-Jan",
year = "2023",
month = mar,
day = "24",
doi = "10.1007/978-3-031-19554-9_1",
language = "English",
isbn = "978-3-031-19553-2",
volume = "1",
series = "Classroom Companion: Business",
publisher = "Springer Nature Switzerland AG",
pages = "1--19",
editor = "Werner Liebregts and {van den Heuvel}, Willem-Jan and {van den Born}, Arjan",
booktitle = "Data Science for Entrepreneurship",
address = "Switzerland",
edition = "1",
}