Formosa Journal of Science and Technology (FJST)
Vol. 5 No. 4 (2026): April 2026

Cognitive Offloading in Al-Supported Decision Making: Implications for Managerial Judgment Quality

Kamaluddin (University of Muhammadiyah Sorong)
Waras (University of Wijaya Putra)
Dharma Widada (University of Mulawarman)



Article Info

Publish Date
27 Apr 2026

Abstract

The development of artificial intelligence (AI) in organizational decision-making has given rise to the phenomenon of cognitive offloading that has the potential to affect the quality of managerial judgment. This study aims to analyze the influence of cognitive offloading on the quality of managerial assessment by considering the role of metacognition and cognitive bias. The study used a quantitative approach with an explanatory design, involved 248 managers as respondents through a questionnaire, and was analyzed using PLS-SEM. The results showed that cognitive offloading had a negative effect on the quality of judgment, while metacognition had a positive effect and acted as a partial mediator. In addition, cognitive bias has been shown to lower the quality of decisions. These findings confirm that the use of AI is dualistic and requires balanced cognitive engagement. This research contributes to the development of management theory and practice in the more critical use of AI

Copyrights © 2026






Journal Info

Abbrev

fjst

Publisher

Subject

Humanities Computer Science & IT Education Industrial & Manufacturing Engineering Social Sciences

Description

Formosa Journal of Science and Technology (FJST) is an open-access scientific journal that publishing full-length research papers and review articles covering subjects that fall under the wide spectrum of science and technology. FJST journal is dedicated towards dissemination of knowledge related to ...