Napredna pretraga

Pregled bibliografske jedinice broj: 842410

Framework for big data usage in risk management process in banking institutions


Dvorski Lacković, Ivana; Kovšca, Vladimir; Lacković Vincek, Zrinka
Framework for big data usage in risk management process in banking institutions // Central European Conference on Information and Intelligent Systems, 27th International Conference 2016 / Hunjak, Tihomir ; Kirinić, Valentina ; Konecki, Mario (ur.).
Varaždin: Faculty of Organization and Informatics, 2016. str. 49-54 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)


Naslov
Framework for big data usage in risk management process in banking institutions

Autori
Dvorski Lacković, Ivana ; Kovšca, Vladimir ; Lacković Vincek, Zrinka

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
Central European Conference on Information and Intelligent Systems, 27th International Conference 2016 / Hunjak, Tihomir ; Kirinić, Valentina ; Konecki, Mario - Varaždin : Faculty of Organization and Informatics, 2016, 49-54

Skup
Central European Conference on Information and Intelligent Systems

Mjesto i datum
Varaždin, Hrvatska, 21-23.09.2016

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
Big data ; banks ; risk management

Sažetak
Nowadays banks operate in changing environment influenced by regulatory requirements, emerging risk types and competition on the market. At the same time banks have available large datasets arising from internal and external sources. The potential for this data usage in risk management has only recently been discovered and has not been the subject of extensive scientific research. There are two goals of this paper. Firstly, authors give an overview of available scientific literature and practical research related to big data usage in risk management in banks. Secondly, based on the literature review authors are presenting framework with specified detailed use of big data in specific key risk management areas. Expected contribution of this paper is in presenting framework that can be used for practical purposes in banking industry as a matrix for using big data in certain risk management area. Second expected contribution is in increasing scientific public awareness on the topic and on the potential of research in the field of big data technologies usage in risk management in banks.

Izvorni jezik
Engleski

Znanstvena područja
Ekonomija



POVEZANOST RADA


Ustanove
Fakultet organizacije i informatike, Varaždin