Technology adoption in the construction industry (1999–2023): Science mapping and visualization

Y Elkhayat, K Adel, M Marzouk - Automation in Construction, 2024 - Elsevier
Technology adoption has acquired significant research interest, resulting in an expanding
volume of literature. However, there is a scarcity of studies using scientometrics and detailed …

Barriers to using cloud computing in sustainable construction in Nigeria: a fuzzy synthetic evaluation

MM Omer, AF Kineber, AE Oke, C Kingsley… - Mathematics, 2023 - mdpi.com
This study aims to assess the barriers impeding cloud computing (CC) applicability in
sustainable construction. A total of 11 barriers in the use of CC were identified for the …

Digital transformation: exploring cornerstones for construction industry

S Yadav, A Prakash, M Arora, A Mittal - Kybernetes, 2023 - emerald.com
Purpose Digital transformation (DT) innovation is a monumental contribution that has had a
profound effect on several worldwide industries. The aim of this research is to evaluate the …

SEM-neural network analysis for mobile commerce adoption in Vietnamese small and medium-sized enterprises

NT Chau, H Deng, R Tay - Journal of Asia Business Studies, 2024 - emerald.com
Purpose Understanding the adoption of m-commerce in small and medium-sized
enterprises (SMEs) is critical for their sustainable development. This study aims to …

Impediments to building information modelling-enabled construction waste management in Nigeria

EC Eze, O Sofolahan, CN Uzoma… - … Project and Asset …, 2024 - emerald.com
Purpose Building Information modelling (BIM) has the potential to significantly minimise the
quantity of construction waste (CW), but its adoption is low in construction waste …

Intelligent condition prediction model for bridge infrastructure based on evaluating machine learning algorithms

S Abu Dabous, A Alzghoul, F Ibrahim - Smart and Sustainable Built …, 2024 - emerald.com
Purpose Prediction models are essential tools for transportation agencies to forecast the
condition of bridge decks based on available data, and artificial intelligence is paramount for …

Forecasting the probability of successful deployment of internet of things and cloud computing in the building sector through consistent fuzzy preference relations …

A Solanki, D Sarkar - World Journal of Engineering, 2024 - emerald.com
Purpose This study aims to identify significant factors, analyse them using the consistent
fuzzy preference relations (CFPR) method and forecast the probability of successful …

[HTML][HTML] Determining Decision-Making Factors for Technology Adoption in the Construction Industry

MB Hatoum, H Nassereddine - 2024 - intechopen.com
Construction organizations have been undergoing major efforts as the industry
acknowledges the need to improve and change its traditional business-as-usual model …