The effect of individual analytical orientation and capabilities on decision quality and regret

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

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.

• Jezik: Angleški jezik
• Ključne besede: informatics, business information, data analytics, analytical orientation, business analytics, decision-making, structural equation modeling, tools and technique capabilities
• Vrsta gradiva: Članek v reviji
• Tipologija: 1.01 - Izvirni znanstveni članek
• Organizacija: EF - Ekonomska fakulteta
• Status publikacije: Objavljeno
• Različica publikacije: Objavljena publikacija
• Leto izida: 2021
• Št. strani: 19 str.
• Številčenje: Vol. 9, iss. 1
• PID: 20.500.12556/RUL-133418
• UDK: 659.2:004
• ISSN pri članku: 2334-4547
• DOI: 10.4018/IJBAN.288510
• COBISS.SI-ID: 80097539
• Datum objave v RUL: 26.11.2021

Gradivo je del revije

• Naslov: International journal of business analytics
• Založnik: IGI Publishing
• ISSN: 2334-4547
• COBISS.SI-ID: 80087811

Licence

• Licenca: CC BY 4.0, Creative Commons Priznanje avtorstva 4.0 Mednarodna
• Povezava: http://creativecommons.org/licenses/by/4.0/deed.sl
• Opis: To je standardna licenca Creative Commons, ki daje uporabnikom največ možnosti za nadaljnjo uporabo dela, pri čemer morajo navesti avtorja.
• Začetek licenciranja: 01.01.2021

Sekundarni jezik

• Jezik: Slovenski jezik
• Ključne besede: informatika, business information, podatkovna analitika