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

Abstract

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.

Keywords

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

Data

Language: English
Year of publishing:
Typology: 1.01 - Original Scientific Article
Organization: UL EF - Faculty of Economics
UDC: 659.2:004
COBISS: 80097539 Link will open in a new window
ISSN: 2334-4547
Views: 207
Downloads: 63
Average score: 0 (0 votes)
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Other data

Secondary language: Slovenian
Secondary keywords: informatika;business information;podatkovna analitika;
Type (COBISS): Article
Thesis comment: Abstract
Pages: 19 str.
Volume: ǂVol. ǂ9
Issue: ǂiss. ǂ1
Chronology: 2021
DOI: 10.4018/IJBAN.288510
ID: 14031681