Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/339897 
Year of Publication: 
2024
Citation: 
[Journal:] Project Leadership and Society (PLAS) [ISSN:] 2666-7215 [Volume:] 5 [Article No.:] 100158 [Year:] 2024 [Pages:] 1-18
Publisher: 
Elsevier, Amsterdam
Abstract: 
Despite efforts to identify and prevent causes, construction claims remain inevitable and repetitive. Therefore, focus has shifted to managing claims with systematic processes, yet challenges related to claim preparation persist. Drawing from political governance, where data analytics promote self-governance to overcome similar challenges, this study contrasts politics with construction claims, aiming to investigate potential for adopting similar data-driven approaches in the construction claim context. Through a systematic literature review in conjunction with ten industry interviews, we present similarities in control mechanisms and disciplinary powers as regulatory elements but reveal dissimilarities in self-governance and utilisation of data analytics. This study proposes categorizing initiatives in claim preparation to people-led, organisational-led, and data-led with data analytics pivotal in each. Through the application of data analytics resembling governmentality within the realm of political governance, the study reveals that the integration of self-governance and smart data analytics presents a potential solution for effectively addressing the challenges inherent in the preparation of construction claims.
Subjects: 
Claim management
Data analytics
Data-led initiatives
Governmentality
Organisational-led initiatives
People-led initiatives
Persistent Identifier of the first edition: 
Creative Commons License: 
cc-by Logo
Document Type: 
Article

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