Marcos Paulo Valadares de Oliveira (Avtor), Kevin P. McCormack (Avtor), Marcelo Bronzo (Avtor), Peter Trkman (Avtor)

Povzetek

Decision makers are exposed to an increasing amount of information. Algorithms can help people make better data-driven decisions. Previous research has focused on both companies' orientation towards analytics use and the required skills of individual decision makers. However, each individual can make either analytically based or intuitive decisions. The authors investigated the characteristics that influence the likelihood of making analytical decisions, focusing on both analytical orientation and capabilities of individuals. They conducted a survey using 462 business students as proxies for decision makers and used partial least squares path modeling to show that analytical capabilities and analytical orientation influence each other and affect analytical decision-making, thereby impacting decision quality and decision regret. The findings suggest that when implementing business analytics solutions, companies should focus on the development not only of technological capabilities and individuals' skills but also of individuals' analytical orientation.

Ključne besede

informatika;business information;podatkovna analitika;informatics;data analytics;

Podatki

Jezik: Angleški jezik
Leto izida:
Tipologija: 1.01 - Izvirni znanstveni članek
Organizacija: UL EF - Ekonomska fakulteta
UDK: 659.2:004
COBISS: 80097539 Povezava se bo odprla v novem oknu
ISSN: 2334-4547
Št. ogledov: 207
Št. prenosov: 63
Ocena: 0 (0 glasov)
Metapodatki: JSON JSON-RDF JSON-LD TURTLE N-TRIPLES XML RDFA MICRODATA DC-XML DC-RDF RDF

Ostali podatki

Sekundarni jezik: Slovenski jezik
Sekundarne ključne besede: informatika;business information;podatkovna analitika;
Vrsta dela (COBISS): Članek v reviji
Komentar na gradivo: Abstract
Strani: 19 str.
Letnik: ǂVol. ǂ9
Zvezek: ǂiss. ǂ1
Čas izdaje: 2021
DOI: 10.4018/IJBAN.288510
ID: 14031681