.png){kind=icon}
.png){kind=icon}
Return
Analyzing Adaptive Work-System Patterns in Complex Socio-Technical Systems
.png){kind=icon}
PRE
AI
DOI：10.1002/hfm.70040.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
This paper introduces a pattern-based analytical framework to understand how joint cognitive systems adapt within complex socio-technical environments. Building on Cognitive Systems Engineering (CSE) and the Work-as-X (WAx) framework, it formalizes work system patterns via the Structured Exploration of Complex Adaptations (SECA) method. The approach integrates data analytics with narrative inquiry, transforming qualitative accounts into structured, reusable knowledge. The resulting pattern library is expected to support proactive safety management and organizational learning at large, enhancing adaptive capacity and resilience across dynamic operational contexts.
Keywords:
complex adaptive systems
graceful extensibility
resilience engineering
safety management
work variability
Journal
H
IF:
2.2
Papers:
17
Citations:
0