The double-edged sword effects of algorithmic opacity

The self-determination theory perspective

Bibliographic Data

ID9405458
AuthorsChunhong Guo (University of Science and Technology Liaoning), Huifang Liu (0000-0001-5357-4938, Shandong Youth University of Political Science), Fei Song (0000-0002-3888-5786, Dongbei University of Finance and Economics, corresponding author), Fangbai Song, Jingfu Guo (Dalian Minzu University)
Year2025
Volume260
Pages105600-105600
Publication date2025-09-24
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueActa Psychologica (JOURNAL)
Journal identifiersISSN: 0001-6918 • E-ISSN: 1873-6297
PublisherElsevier BV (PUBLISHER)
DOI10.1016/j.actpsy.2025.105600
PMID40997447
OpenAlexW4414464576
LanguageEN
References cited69

Algorithmic opacity is mainly regarded as a disruptive feature. Although the literature suggests that algorithmic opacity improves efficiency, we need a thorough understanding of the contexts in which algorithmic opacity enhances efficiency and the behavioral responses that employees will have. The purpose of this study is to address this research gap. We construct structural equation models using data from 421 full-time employees interacting with AI from a sizeable brilliant manufacturing company in northern China. Algorithmic opacity leads to harmonious passion, which triggers active learning when AI performs structured tasks. Still, algorithmic opacity leads to obsessive passion, which triggers political behaviors when AI performs unstructured tasks. Our findings contribute to algorithmic opacity and self - determination theory

Behavioral Health and Interventions · Motivation and Self-Concept in Sports

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