EconPapers    
Economics at your fingertips  
 

Application of cognitive work analysis in support of systems engineering of a socio-technical system

Henk van den Heever and Rudolph Oosthuizen

International Journal of Industrial and Systems Engineering, 2024, vol. 46, issue 1, 90-106

Abstract: This paper presents a validation workflow to support system requirements analysis. Systems engineering supports the development of socio-technical systems. However, the traditional systems engineering approach of reducing the system to component level to perform detailed designs and integrate them into a solution system may miss unexpected emergent behaviour when introducing a new technology into a socio-technical system. It may require changes in the socio-technical system's information flows, processes and procedures. Ignoring these emerging requirements may result in undesirable results or failures in the system. Cognitive work analysis, with work domain analysis in particular, provides a framework for analysing, modelling and designing socio-technical systems. The output abstraction hierarchy models were evaluated using a focus group approach for perceived utility in uncovering potential design emergence. The focus groups supported both the models and the proposed method. This structured approach will support requirements capturing and analysis for developing and engineering socio-technical systems.

Keywords: cognitive work analysis; CWA; systems engineering; requirements analysis; work domain analysis; WDA; emergence; socio-technical. (search for similar items in EconPapers)
Date: 2024
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.inderscience.com/link.php?id=135830 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ids:ijisen:v:46:y:2024:i:1:p:90-106

Access Statistics for this article

More articles in International Journal of Industrial and Systems Engineering from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().

 
Page updated 2025-03-19
Handle: RePEc:ids:ijisen:v:46:y:2024:i:1:p:90-106