个体分析倾向和能力对决策质量和后悔的影响

Pub Date : 2022-01-01 DOI:10.4018/ijban.288510
Marcos Paulo Valadares de Oliveira, Kevin McCormack, Marcelo Bronzo, P. Trkman
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引用次数: 0

摘要

决策者面临着越来越多的信息。算法可以帮助人们做出更好的数据驱动决策。之前的研究集中在两家公司对分析使用的定位和个人决策者所需的技能上。然而,每个人都可以做出基于分析或直觉的决定。我们调查了影响做出分析决策可能性的特征,重点关注个人的分析取向和能力。我们使用462名商学院学生作为决策者的代理人进行了一项调查,并使用偏最小二乘路径建模来表明分析能力和分析取向相互影响,影响分析决策,从而影响决策质量和决策后悔。我们的研究结果表明,在实施业务分析解决方案时,公司不仅应关注技术能力和个人技能的发展,还应关注个人分析取向的发展。
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The Effect of Individual Analytical Orientation and Capabilities on Decision Quality and Regret
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. We investigated the characteristics that influence the likelihood of making analytical decisions, focusing on both analytical orientation and capabilities of individuals. We 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. Our 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.
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