In the construction industry under “Industry 4.0”, Natural Language Processing (NLP) has
been widely used to process and analyze text data to achieve construction intelligence …

The advancement of natural language processing and text mining techniques facilitate
automatic non-trivial pattern extraction and knowledge discovery from text data. However …

This study analyzes how public opinion on smart infrastructure (SI) in China varies across
space and time based on social media data to inform the prioritization of infrastructure …

Intense frictions in global trade have made intellectual property (IP) an important topic of
public concern. Meanwhile, new media and online communities have become important …

The COVID-19 pandemic has been the largest global crisis in recent decades. Apart from
the countless deaths and health emergencies, the pandemic has disrupted several …

This systematic literature review examines the effects of social media use (SMU) and
practices (SMPs) on team feedback (TF) and performance (TP) within the context of …

Purpose A lack of reliable and effective communication tools poses major barriers impeding
the performance of construction projects consisting of diverse participants. Although some …

Purpose The negative effects of job stress and burnout on construction professionals (CPs)
at the construction site have been widely concern in the construction industry. The purpose …

Purpose Recently, reverse logistics (RL) has become more prominent due to growing
environmental concerns, social responsibility, competitive advantages and high efficiency by …

Big data applications consist of (a) data collection using big data sources,(b) storing and
processing data and (c) analysing data to gain insights for creating organisational benefit …