Work

Expertise Erosion, Skill Dependency, and Tacit Knowledge Loss Inside Automated Workflows

Year: 2026

Type: article

Abstract: Automation promises faster and more scalable work, yet its consequences for human expertise remain unsettled. Systems that improve assisted performance can also reduce task participation, alter legitimate knowledge, intensify reliance, and narrow everyday learning opportunities. This Critical Review Article examines that expertise paradox by integrating evidence on tacit knowledge, skill dependency and deskilling, informal workplace learning, and conditions that may preserve expertise inside aut

Source: Journal of Applied Organizational Systems and Behavior

DOI: 10.51847/t06fub63bi

Authors: Maria Silva, Joao Pereira, Bruno Costa, Ricardo Alves

Institution: University of Lisbon

Language: English

Topic: Innovative Education and Learning Practices

Subfield: Human Factors and Ergonomics

Field: Social Sciences

Domain: Social Sciences

Open Access status: bronze

OpenAlex ID: W7203970625

FWCI: 54.65

Cites: 36

Cited by: 1

Related to: 10