Review on sensing technology adoption in the construction industry

M Arabshahi, D Wang, J Sun, P Rahnamayiezekavat… - Sensors, 2021 - mdpi.com
Sensing technologies demonstrate promising potential in providing the construction industry
with a safe, productive, and high-quality process. The majority of sensing technologies in the …

Artificial intelligence in construction asset management: A review of present status, challenges and future opportunities

L Rampini, FR Cecconi - Journal of Information Technology in …, 2022 - re.public.polimi.it
The built environment is responsible for roughly 40% of global greenhouse emissions,
making the sector a crucial factor for climate change and sustainability. Meanwhile, other …

BIM-based big data analytic system for healthcare facility management

G Demirdöğen, Z Işık, Y Arayici - Journal of Building Engineering, 2023 - Elsevier
Facility management (FM) is the costliest stage in the building lifecycle of healthcare
buildings. Building Information Modeling (BIM) has potential solution to enable information …

Ontology-based knowledge representation for industrial megaprojects analytics using linked data and the semantic web

P Zangeneh, B McCabe - Advanced Engineering Informatics, 2020 - Elsevier
The fourth industrial revolution has affected most industries, including construction and
those within the delivery chain of megaprojects. These major paradigm shifts, however, did …

Synergies of lean, BIM, and extended reality (LBX) for project delivery management

S Alizadehsalehi, A Hadavi - Sustainability, 2023 - mdpi.com
The architecture, engineering, and construction (AEC) industry stands to benefit
tremendously from the integration of lean construction (LC), building information modeling …

Analysis of barriers intensity for investment in big data analytics for sustainable manufacturing operations in post-COVID-19 pandemic era

N Kumar, G Kumar, RK Singh - Journal of Enterprise Information …, 2022 - emerald.com
Purpose The study presents various barriers to adopt big data analytics (BDA) for
sustainable manufacturing operations (SMOs) post-coronavirus disease (COVID-19) …

The barriers to big data adoption in developing economies

AAF Alalawneh, SF Alkhatib - The Electronic Journal of …, 2021 - Wiley Online Library
Big data adoption (BDA) and its barriers, opportunities, and expected benefits are
increasingly attracting researchers' and practitioners' attention. For developing economies …

A systematic literature review towards a conceptual framework for enablers and barriers of an enterprise data science strategy

RC Reddy, B Bhattacharjee, D Mishra… - Information Systems and e …, 2022 - Springer
While embracing digitalization that is further accentuated by the Covid-19 pandemic, the real
business outcome is achieved through a robust and well-crafted 'Data Science …

[PDF][PDF] Drivers and barriers to digitalisation: a cross-analysis of the views of designers and builders in the construction industry.

S Perera, X Jin, M Samaratunga… - Journal of Information …, 2023 - itcon.org
The construction industry around the world has identified the significance of digitalisation,
and a wide range of research has explored the drivers and barriers of digitalisation within …

Comparative analysis of three predictive models of performance indicators with results-based management: Cancer data statistics in a national institute of health

J Martínez-Salazar, F Toledano-Toledano - Cancers, 2023 - mdpi.com
Simple Summary Statistical predictive models using one of the most important strategies,
known as results-based management (RBM), are relevant for improving the quality of …