International Journal of Strategic Property Management | |
Property management enabled by artificial intelligence post Covid-19: an exploratory review and future propositions | |
Arvind Upadhyay1  Vaidotas Trinkūnas2  Hemakshi Chokshi3  Anil Kumar3  Robert Magda4  Farheen Naz4  | |
[1] Business School, University of Stavanger, Stavanger, Norway;Department of Construction Management and Real Estate, Vilnius Gediminas Technical University, Vilnius, Lithuania;Guildhall School of Business and Law, London Metropolitan University, London, UK;Hungarian University of Agriculture and Life Sciences, Godollo, Hungary; | |
关键词: property management; artificial intelligence; real estate management; structural topic modeling; residential management; text mining; | |
DOI : 10.3846/ijspm.2022.16923 | |
来源: DOAJ |
【 摘 要 】
The Covid-19 pandemic outbreak across the globe has disrupted human life and industry. The pandemic has affected every sector, with the real estate sector facing particular challenges. During the pandemic, property management became a crucial task and property managers were challenged to control risks and disruptions faced by their organizations. Recent innovative technologies, including artificial intelligence (AI), have supported many sectors through sudden disruptions; this study was performed to examine the role of AI in the real estate and property management (PM) sectors. For this purpose, a systematic literature review was conducted using structural topic modeling and bibliometric analysis. Using appropriate keywords, the researchers found 175 articles on AI and PM research from 1980 to 2021 in the SCOPUS database. A bibliometric analysis was performed to identify research trends. Structural topic modelling (STM) identified ten emerging thematic topics in AI and PM. A comprehensive framework is proposed, and future research directions discussed.
【 授权许可】
Unknown