Osaako algoritmi ennakoida yrityksen nopean kasvun?

Translated title of the contribution: Can an algorithm predict high-growth firms?

Research output: Contribution to journal › Article › Professional

Translated title of the contribution	Can an algorithm predict high-growth firms?
Original language	Finnish
Trade journal	Talous & Yhteiskunta
Volume	2023
Issue number	1
Pages (from-to)	42-49
ISSN	1236-7206
Publication status	Published - 03.03.2023
MoE publication type	D1 Article in a trade journal

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Ex Ante Predictability of Rapid Growth: A Design Science Approach
Hyytinen, A. (Project manager, academic), Rouvinen, P. (Project participant), Pajarinen, M. (Project participant) & Virtanen, J. (Project participant)
01.05.2018 → 06.11.2022
Project: Project funded by Hanken/Hanken funds

@article{6f1f0bedd3754348b9cae39900399113,

title = "Osaako algoritmi ennakoida yrityksen nopean kasvun?",

keywords = "512 F{\"o}retagsekonomi",

author = "Ari Hyytinen and Mika Pajarinen and Petri Rouvinen and Joosua Virtanen",

year = "2023",

month = mar,

day = "3",

language = "Finska",

volume = "2023",

pages = "42--49",

journal = "Talous \& Yhteiskunta",

issn = "1236-7206",

publisher = "Palkansaajien tutkimuslaitos",

number = "1",

}