Data Science in Strategy: Machine learning and text analysis in the study of firm growth
Year of publication: |
2019
|
---|---|
Authors: | Kolkman, Daan ; van Witteloostuijn, Arjen |
Publisher: |
Amsterdam and Rotterdam : Tinbergen Institute |
Series: | Tinbergen Institute Discussion Paper ; TI 2019-066/VI |
---|---|
Type of publication: | Book / Working Paper |
Type of publication (narrower categories): | Working Paper |
Language: | English |
Other identifiers: | 1677838310 [GVK] hdl:10419/205356 [Handle] RePEc:tin:wpaper:20190066 [RePEc] |
Classification: | L1 - Market Structure, Firm Strategy, and Market Performance |
Source: |
-
Lehmann, Erik E., (2000)
-
Governance Structures, Efficiency, and Firm Profitability
Lehmann, Erik, (2004)
-
The implications of latent technology regimesfor competition and efficiency in banking
Kötter, Michael, (2008)
- More ...
-
Data Science in Strategy : Machine Learning and Text Analysis in the Study of Firm Growth
Kolkman, Daan, (2019)
-
Data science in strategy : machine learning and text analysis in the study of firm growth
Kolkman, Daan, (2019)
-
Glitch Studies and the Ambiguous Objectivity of Algorithms
Kolkman, Daan, (2017)
- More ...