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

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

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.

• Language: English
• Keywords: informatics, business information, data analytics, analytical orientation, business analytics, decision-making, structural equation modeling, tools and technique capabilities
• Work type: Article
• Typology: 1.01 - Original Scientific Article
• Organization: EF - School of Economics and Business
• Publication status: Published
• Publication version: Version of Record
• Year: 2021
• Number of pages: 19 str.
• Numbering: Vol. 9, iss. 1
• PID: 20.500.12556/RUL-133418
• UDC: 659.2:004
• ISSN on article: 2334-4547
• DOI: 10.4018/IJBAN.288510
• COBISS.SI-ID: 80097539
• Publication date in RUL: 26.11.2021

Record is a part of a journal

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

Licences

• License: CC BY 4.0, Creative Commons Attribution 4.0 International
• Link: http://creativecommons.org/licenses/by/4.0/
• Description: This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.
• Licensing start date: 01.01.2021

Secondary language

• Language: Slovenian
• Keywords: informatika, business information, podatkovna analitika