A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä
Data Analytics and Financial Forecasting: A Field Study from Finnish Enterprises
Tekijät: Hyvönen Timo, Lepistö Lauri, Mäki Sanni
Kustantaja: Association of Business Schools
Julkaisuvuosi: 2022
Journal: Nordic Journal of Business
Lehden akronyymi: NJB
Artikkelin numero: 3
Vuosikerta: 71
Numero: 2
Aloitussivu: 126
Lopetussivu: 134
eISSN: 2342-9011
Verkko-osoite: http://njb.fi/wp-content/uploads/2022/11/3_NJB_2_22_Hyvonen_et_al.pdf
Rinnakkaistallenteen osoite: https://research.utu.fi/converis/portal/detail/Publication/177355973
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. |