Data Science for Eentrepreneurship: The road ahead

Willem-Jan van den Heuvel; Werner Liebregts; Arjan van den Born

doi:10.1007/978-3-031-19554-9_22

Data Science for Eentrepreneurship: The road ahead

Willem-Jan van den Heuvel, Werner Liebregts, Arjan van den Born

Research output: Chapter in Book/Report/Conference proceeding › Chapter › Scientific

Abstract

Recent advancements and trends in data engineering, data analytics, entrepreneurship, and business and societal context in which all this happens will usher a new wave in data entrepreneurship. This calls for new theories, approaches, methods, and techniques and opens up new possibilities for companies to find a competitive edge and, hopefully, to reap the associated benefits. This chapter concludes the book with a kaleidoscopic overview of several important developments, exploring their implications for areas where data science and entrepreneurship meet. Next to a number of implications for practice, this chapter ends with a brief discussion of interesting avenues for future research.

Original language	English
Title of host publication	Data Science for Entrepreneurship
Subtitle of host publication	Principles and Methods for Data Engineering, Analytics, Entrepreneurship, and the Society
Place of Publication	Cham
Publisher	Springer Nature Switzerland AG
Chapter	22
Pages	521-532
Number of pages	12
Volume	1
Edition	1
ISBN (Electronic)	978-3-031-19554-9
ISBN (Print)	978-3-031-19553-2
DOIs	https://doi.org/10.1007/978-3-031-19554-9_22
Publication status	Published - 24 Mar 2023

Publication series

Name	Classroom Companion: Business
Publisher	Springer Nature Switzerland AG
ISSN (Print)	2662-2866
ISSN (Electronic)	2662-2874

Keywords

Data entrepreneurship
Practical implications
Future research avenues
AI software: MLOps
Edge computing
Digital twins
Large-scale experimentation
Government regulation

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https://link.springer.com/chapter/10.1007/978-3-031-19554-9_22

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van den Heuvel, W.-J., Liebregts, W., & van den Born, A. (2023). Data Science for Eentrepreneurship: The road ahead. In Data Science for Entrepreneurship: Principles and Methods for Data Engineering, Analytics, Entrepreneurship, and the Society (1 ed., Vol. 1, pp. 521-532). (Classroom Companion: Business). Springer Nature Switzerland AG. https://doi.org/10.1007/978-3-031-19554-9_22

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van den Heuvel, W-J , Liebregts, W & van den Born, A 2023, Data Science for Eentrepreneurship: The road ahead. in Data Science for Entrepreneurship: Principles and Methods for Data Engineering, Analytics, Entrepreneurship, and the Society. 1 edn, vol. 1, Classroom Companion: Business, Springer Nature Switzerland AG, Cham, pp. 521-532. https://doi.org/10.1007/978-3-031-19554-9_22

Data Science for Eentrepreneurship: The road ahead. / van den Heuvel, Willem-Jan ; Liebregts, Werner ; van den Born, Arjan.
Data Science for Entrepreneurship: Principles and Methods for Data Engineering, Analytics, Entrepreneurship, and the Society. Vol. 1 1. ed. Cham: Springer Nature Switzerland AG, 2023. p. 521-532 (Classroom Companion: Business).

Research output: Chapter in Book/Report/Conference proceeding › Chapter › Scientific

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Data Science for Eentrepreneurship: The road ahead

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