A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä

Data Analytics and Financial Forecasting: A Field Study from Finnish Enterprises




TekijätHyvönen Timo, Lepistö Lauri, Mäki Sanni

KustantajaAssociation of Business Schools

Julkaisuvuosi2022

JournalNordic Journal of Business

Lehden akronyymiNJB

Artikkelin numero3

Vuosikerta71

Numero2

Aloitussivu126

Lopetussivu134

eISSN2342-9011

Verkko-osoitehttp://njb.fi/wp-content/uploads/2022/11/3_NJB_2_22_Hyvonen_et_al.pdf

Rinnakkaistallenteen osoitehttps://research.utu.fi/converis/portal/detail/Publication/177355973


Tiivistelmä

This explorative study investigates the current state and usage of recent technological advancements in financial forecasting. Data analytics has received increasing interest amongst practitioners and researchers in recent years and it has been argued that data analytics will enhance the development and evolution of budgeting processes. The empirical materials of this study come from interviews conducted in six Finnish enterprises. Results indicate that whilst practitioners consider the importance of improving forecasting processes, they have reservations regarding the potency of data analytics. Overall, our findings suggest that the shift towards the application of data analytics in financial forecasting is not yet taking place.


Ladattava julkaisu

This is an electronic reprint of the original article.
This reprint may differ from the original in pagination and typographic detail. Please cite the original version.





Last updated on 2024-26-11 at 12:50