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Applying rich picture diagrams to model case studies of construction projects

Autor(en):

Medium: Fachartikel
Sprache(n): Englisch
Veröffentlicht in: Engineering, Construction and Architectural Management, , n. 2, v. 14
Seite(n): 164-179
DOI: 10.1108/09699980710731281
Abstrakt:

Purpose

Information and findings from investigations of construction projects using qualitative methodologies such as the grounded theory methodology (GTM) are inevitably rich. When using multiple case studies, the cross‐case analysis procedure has been found overwhelming and difficult to grasp all at once. Hence, an approach using rich picture diagrams (RPD) has been applied specifically for the purpose of modelling case studies and capturing the richness of the information along the case studies' storylines. This paper aims to explain the reasoning behind and the development process of such diagrams.

Design/methodology/approach

The paper investigates the underlying concepts of the GTM, case study approach, and the soft system methodology (SSM) from which the RPD was originally derived. Based on the identified agreement between and consistency of both methodologies, the development of RPD to model case studies in an ongoing research project (using the GTM) is explained. The subsequent cross‐case analysis procedure is also discussed, leading to conclusions.

Findings

The paper demonstrates the applicability of the RPD originating from the SSM as a tool to present the storylines of case studies within the GTM, to improve presentation and enable thorough cross‐case analysis by providing a holistic view of the storylines.

Originality/value

In response to the scholarly challenge to contribute to the further development of the GTM, the paper presents the application of a tool from SSM (i.e. the RPD). Whilst enriching the techniques within the GTM, this application provides a solution for researchers and stakeholders to model case studies of construction projects.

Structurae kann Ihnen derzeit diese Veröffentlichung nicht im Volltext zur Verfügung stellen. Der Volltext ist beim Verlag erhältlich über die DOI: 10.1108/09699980710731281.
  • Über diese
    Datenseite
  • Reference-ID
    10576113
  • Veröffentlicht am:
    26.02.2021
  • Geändert am:
    26.02.2021
 
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