TY - JOUR
T1 - BIM-Enabled Claims Management Concept
T2 - Implications for Dispute Avoidance and Management
AU - Giwa, Falilat
AU - Omotayo, Temitope
AU - Tzortzopoulos, Patricia
AU - Malalgoda, Chamindi
N1 - Publisher Copyright:
© 2024 American Society of Civil Engineers.
PY - 2024/8/1
Y1 - 2024/8/1
N2 - Investigating the implications of integrating building information modeling (BIM) with claims management and the consequent effect on quantity surveying practices is essential for advancing digitalization and for avoidance of disputes in construction. Based on primary semistructured interviews with eight construction professionals in the UK and 48 peer-reviewed articles (secondary data), BIM’s potential to enhance collaboration, improve cost estimation, and streamline claims management processes using text mining was studied. Text mining collocation analysis was applied using RStudio to elicit BIM and claims management concepts. The findings suggested that although BIM integration offers considerable benefits, challenges—such as resistance to change, lack of standardization, and the need for continuous upskilling—may hinder its full implementation. These findings contribute to the emerging need for as-built intelligent BIM with claims management operations in the construction industry from a theoretical perspective. BIM’s potential to redefine the role of construction professionals such as quantity surveyors may engender a collaborative construction sector because of the efficiency it brings to the construction industry.
AB - Investigating the implications of integrating building information modeling (BIM) with claims management and the consequent effect on quantity surveying practices is essential for advancing digitalization and for avoidance of disputes in construction. Based on primary semistructured interviews with eight construction professionals in the UK and 48 peer-reviewed articles (secondary data), BIM’s potential to enhance collaboration, improve cost estimation, and streamline claims management processes using text mining was studied. Text mining collocation analysis was applied using RStudio to elicit BIM and claims management concepts. The findings suggested that although BIM integration offers considerable benefits, challenges—such as resistance to change, lack of standardization, and the need for continuous upskilling—may hinder its full implementation. These findings contribute to the emerging need for as-built intelligent BIM with claims management operations in the construction industry from a theoretical perspective. BIM’s potential to redefine the role of construction professionals such as quantity surveyors may engender a collaborative construction sector because of the efficiency it brings to the construction industry.
KW - Building information modelling (BIM)
KW - claims
KW - claims management
KW - construction industry
KW - dispute
KW - Quantity surveying
KW - Text mining
KW - Claims management
KW - Claims
KW - Dispute
KW - Building information modeling (BIM)
KW - Construction industry
UR - http://www.scopus.com/inward/record.url?scp=85191659027&partnerID=8YFLogxK
U2 - 10.1061/JLADAH.LADR-1112
DO - 10.1061/JLADAH.LADR-1112
M3 - Article
VL - 16
JO - Journal of Legal Affairs and Dispute Resolution in Engineering and Construction
JF - Journal of Legal Affairs and Dispute Resolution in Engineering and Construction
SN - 1943-4162
IS - 3
M1 - 04524009
ER -