Key points are not available for this paper at this time.
The introduction of digital technologies has gained considerable momentum in the field of asset management. To identify the research characteristics and development trends in the fields of digital technologies and asset management, a bibliometric analysis was conducted using the Scopus database. The analysis covers the period from 2004 to 2024 to capture the digital era and the evolving field of asset management. A total of 1,493 publications were extracted and analysed using the VOSviewer and CiteSpace. Additionally, Voyant Tools, an open-source web-based application for text analysis, was used to examine the corpus of abstracts of all publications previously analysed through the bibliometric analysis. The analysis revealed that promising technologies such as machine learning (ML), the Internet of Things (IoT), artificial intelligence (AI), digital twin (DT), blockchain, etc. are mainly used in the field of asset management. In addition, building information modelling (BIM) and geographic information systems (GIS) are commonly used tools in asset management, which shows the potential of their integration and connection with digital technologies. The results of this study contribute to the literature and practice by providing insights into trends in the use of digital technologies in asset management.
Maletič et al. (Tue,) studied this question.