Literature DB >> 25555174

Combining network analysis with Cognitive Work Analysis: insights into social organisational and cooperation analysis.

Robert J Houghton1, Chris Baber, Neville A Stanton, Daniel P Jenkins, Kirsten Revell.   

Abstract

Cognitive Work Analysis (CWA) allows complex, sociotechnical systems to be explored in terms of their potential configurations. However, CWA does not explicitly analyse the manner in which person-to-person communication is performed in these configurations. Consequently, the combination of CWA with Social Network Analysis provides a means by which CWA output can be analysed to consider communication structure. The approach is illustrated through a case study of a military planning team. The case study shows how actor-to-actor and actor-to-function mapping can be analysed, in terms of centrality, to produce metrics of system structure under different operating conditions. PRACTITIONER
SUMMARY: In this paper, a technique for building social network diagrams from CWA is demonstrated.The approach allows analysts to appreciate the potential impact of organisational structure on a command system.

Entities:  

Keywords:  Cognitive Work Analysis; network analysis; sociotechnical systems; systems design; visualisation

Mesh:

Year:  2015        PMID: 25555174     DOI: 10.1080/00140139.2014.966770

Source DB:  PubMed          Journal:  Ergonomics        ISSN: 0014-0139            Impact factor:   2.778


  2 in total

1.  Role network measures to assess healthcare team adaptation to complex situations: the case of venous thromboembolism prophylaxis.

Authors:  Megan E Salwei; Pascale Carayon; Ann S Hundt; Peter Hoonakker; Vaibhav Agrawal; Peter Kleinschmidt; Jason Stamm; Douglas Wiegmann; Brian W Patterson
Journal:  Ergonomics       Date:  2019-04-30       Impact factor: 2.778

2.  The Binary-Based Model (BBM) for Improved Human Factors Method Selection.

Authors:  Matt Holman; Guy Walker; Terry Lansdown; Paul Salmon; Gemma Read; Neville Stanton
Journal:  Hum Factors       Date:  2020-06-18       Impact factor: 2.888

  2 in total

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