 Integrating intuition and artificial intelligence in organizational decision-makingVinod U. Vincent Business Horizons, 2021, vol. 64, issue 4, 425-438 Abstract: Artificial intelligence (AI) is fundamentally changing organizational decision-making processes. With the abilities to self-learn and to improve decision quality, AI is now taking over many decision responsibilities that were formerly assigned to humans alone. However, the effectiveness of AI for ill-structured and uncertain decision environments is still in question. In such decision contexts that have no precedent on which to base a solution, humans have historically relied on their intuition to make decisions. Yet intuition, too, has been found to have weaknesses that restrict decision quality. Therefore, this article introduces a decision-making model that effectively integrates the strengths of both intuition and AI while minimizing the vulnerabilities of each method. The model specifies when and how both modes should be combined for effective organizational decision-making. In addition, the article presents important future research considerations relating to AI for both practitioners and academics. Keywords: Artificial intelligence; Expert intuition; Decision-making; Ill-structured tasks; Heuristics and biases (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:eee:bushor:v:64:y:2021:i:4:p:425-438 DOI: 10.1016/j.bushor.2021.02.008 Access Statistics for this article Business Horizons is currently edited by C. M. Dalton More articles in Business Horizons from Elsevier |
Is your work missing from RePEc? Here is how to contribute.
Questions or problems? Check the EconPapers FAQ or send mail to .
EconPapers is hosted by the
School of Business at Örebro University.