TY - JOUR
T1 - INVESTIGATING THE PERSISTENCE OF UNSTRUCTURED DATA IN AEC
T2 - A CRITICAL REALIST EXPLORATION OF DOMAIN CHALLENGES IN THE IRISH CONSTRUCTION INDUSTRY
AU - Tariq, Hamza
AU - McNally, Ciaran
AU - O’Donnell, James
N1 - Publisher Copyright:
© 2025 The author(s).
PY - 2025/11
Y1 - 2025/11
N2 - This study investigates the underlying domain challenges contributing to the persistence of unstructured data in the AEC industry. Following a critical realist paradigm, a qualitative study involving semistructured interviews with professionals across various practices in the Irish construction sector were conducted. Thematic analysis revealed five key domain challenges: (1) Knowledge gaps related to fundamental data science concepts, BIM, digital twins, and linked data; (2) Stakeholder dynamics, particularly client influence and misalignment between client needs and designer proposals; (3) The “single source of truth” dilemma arising from ISO 19650 implementation challenges; (4) Process inertia stemming from email dependence, perceived benefits of unstructured data, underdeveloped models, and skills deficiencies; and (5) Contractual and regulatory requirements that fail to incentivize structured data adoption. Mapping these themes to a people, process and technology framework revealed that the majority of these problems are systematic in nature. These findings suggest that the industry needs a multifaceted approach addressing knowledge enhancement, stakeholder alignment, standard simplification, workflow modernization, and regulatory integration to overcome the barriers to structured data implementation. This study identifies valuable insights for policymakers, educators, and industry leaders seeking to facilitate automation in construction information management.
AB - This study investigates the underlying domain challenges contributing to the persistence of unstructured data in the AEC industry. Following a critical realist paradigm, a qualitative study involving semistructured interviews with professionals across various practices in the Irish construction sector were conducted. Thematic analysis revealed five key domain challenges: (1) Knowledge gaps related to fundamental data science concepts, BIM, digital twins, and linked data; (2) Stakeholder dynamics, particularly client influence and misalignment between client needs and designer proposals; (3) The “single source of truth” dilemma arising from ISO 19650 implementation challenges; (4) Process inertia stemming from email dependence, perceived benefits of unstructured data, underdeveloped models, and skills deficiencies; and (5) Contractual and regulatory requirements that fail to incentivize structured data adoption. Mapping these themes to a people, process and technology framework revealed that the majority of these problems are systematic in nature. These findings suggest that the industry needs a multifaceted approach addressing knowledge enhancement, stakeholder alignment, standard simplification, workflow modernization, and regulatory integration to overcome the barriers to structured data implementation. This study identifies valuable insights for policymakers, educators, and industry leaders seeking to facilitate automation in construction information management.
KW - AEC
KW - qualitative study
KW - semi-structured interviews
KW - thematic analysis
KW - unstructured data
UR - https://www.scopus.com/pages/publications/105025416040
U2 - 10.36680/j.itcon.2025.071
DO - 10.36680/j.itcon.2025.071
M3 - Article
AN - SCOPUS:105025416040
SN - 1874-4753
VL - 30
SP - 1728
EP - 1748
JO - Journal of Information Technology in Construction
JF - Journal of Information Technology in Construction
IS - 71
ER -