Applying Choosing by Advantages (cba) Decision-making Framework in Property Management: a Bibliometric Analysis
Year: 2025
Type: article
Abstract: The study explores the application of the CBA decision-making framework within the domain of property management, addressing a gap in the literature regarding structured decision-making methodologies in this field. Despite the increasing complexity of property management, there remains limited research on frameworks that aid in systematic decision-making, especially in areas like maintenance, resource allocation, and sustainability. This research conducts a comprehensive bibliometric analysis to map the trends, key contributors, and collaborative networks within CBA applications in property management. Using Scopus Analyzer and VOSviewer software, a dataset of 748 documents was gathered, spanning from 2004 to 2024. Scopus Analyzer provided insights into publication trends, identifying a sharp increase in CBA-related studies in recent years. VOSviewer was employed to visualize co-authorship patterns and popular keywords, revealing "Facility Management" and "Decision-Making" as dominant themes alongside emerging topics like "Building Information Modeling" and "Digital Twin," highlighting the integration of technology in decision-making processes. The analysis shows that countries such as the United States, United Kingdom, China, and Australia are key contributors with significant international collaborations. Findings indicate a rising trend in applying CBA in fields demanding structured evaluation, although property management remains underexplored, presenting further research opportunity. This study provides a foundation for understanding CBA's potential role in property management, suggesting that the framework could enhance decision-making processes in complex, asset-intensive environments, thereby paving the way for more efficient and sustainable property management practices.
Institution: University of Technology Malaysia
Language: English
Topic: Life Cycle Costing Analysis
Subfield: Accounting
Domain: Social Sciences
Open Access status: diamond
OpenAlex ID: W4413962325