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Analyzing Adaptive Work‐System Patterns in Complex Socio‐Technical Systems

Riccardo Patriarca & Manuel Lombardi

Human Factors and Ergonomics In Manufacturing2026https://doi.org/10.1002/hfm.70040article
AJG 1
Weight
0.37

What the paper says

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.

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https://doi.org/https://doi.org/10.1002/hfm.70040

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@article{riccardo2026,
  title        = {{Analyzing Adaptive Work‐System Patterns in Complex Socio‐Technical Systems}},
  author       = {Riccardo Patriarca & Manuel Lombardi},
  journal      = {Human Factors and Ergonomics In Manufacturing},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.1002/hfm.70040},
}

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Evidence weight

0.37

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.16 × 0.4 = 0.06
M · momentum0.53 × 0.15 = 0.08
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.