Digital technologies in the architecture, engineering and construction (Aec) industry—a bibliometric—qualitative literature review of research activities

B Manzoor, I Othman, JC Pomares - International journal of …, 2021 - mdpi.com
Digital technologies (DTs) are proven helpful in the Architecture, Engineering and
Construction (AEC) industry due to their varied benefits to project stakeholders, such as …

[HTML][HTML] Digital technologies in architecture, engineering, and construction

J Brozovsky, N Labonnote, O Vigren - Automation in Construction, 2024 - Elsevier
Digitalization in the architecture, engineering, and construction (AEC) sector is slow due to
significant challenges in technology adoption. The study aims to promote technology …

Drivers for digital twin adoption in the construction industry: A systematic literature review

DGJ Opoku, S Perera, R Osei-Kyei, M Rashidi… - Buildings, 2022 - mdpi.com
Digital twin (DT) is gaining increasing attention due to its ability to present digital replicas of
existing assets, processes and systems. DT can integrate artificial intelligence, machine …

Digital transformation in the construction industry: a bibliometric review

SA Adekunle, CO Aigbavboa, O Ejohwomu… - Journal of Engineering …, 2021 - emerald.com
Purpose The construction industry has been traditionally referred to as slow when it comes
to technological transformation. This study aims to investigate and present a scorecard of the …

Collaboration and risk in building information modelling (BIM): a systematic literature review

KN Ali, HH Alhajlah, MA Kassem - Buildings, 2022 - mdpi.com
Building information modelling (BIM) has become increasingly popular in construction
projects in recent years. Simultaneously, project management has received more attention …

A critical review of text-based research in construction: Data source, analysis method, and implications

S Baek, W Jung, SH Han - Automation in Construction, 2021 - Elsevier
The advancement of natural language processing and text mining techniques facilitate
automatic non-trivial pattern extraction and knowledge discovery from text data. However …

A scoping review on multi-fault diagnosis of industrial rotating machines using multi-sensor data fusion

S Gawde, S Patil, S Kumar, K Kotecha - Artificial Intelligence Review, 2023 - Springer
Rotating machines is an essential part of any manufacturing industry. The sudden
breakdown of such machines due to improper maintenance can also lead to the industries' …

Barriers to the adoption of digital twin in the construction industry: A literature review

DGJ Opoku, S Perera, R Osei-Kyei, M Rashidi… - Informatics, 2023 - mdpi.com
Digital twin (DT) has gained significant recognition among researchers due to its potential
across industries. With the prime goal of solving numerous challenges confronting the …

Research focus for construction robotics and human-robot teams towards resilience in construction: Scientometric review

AO Onososen, I Musonda - Journal of engineering, design and …, 2022 - emerald.com
Purpose Rapid urbanisation and recent shock events have reiterated the need for resilient
infrastructure, as seen in the pandemic. Yet, knowledge gaps in construction robotics and …

Safety enablers using emerging technologies in construction projects: empirical study in Malaysia

JBH Yap, KPH Lee, C Wang - Journal of engineering, design and …, 2023 - emerald.com
Purpose High rate of accidents continue to plague the construction industry. The
advancements in safety technologies can ameliorate construction health and safety (H&S) …