Property management enabled by artificial intelligence post Covid-19: an exploratory review and future propositions

Naz, Farheen, Kumar, Anil, Upadhyay, Arvind, Chokshi, Hemakshi, Trinkūnas, Vaidotas and Magda, Robert (2022) Property management enabled by artificial intelligence post Covid-19: an exploratory review and future propositions. International Journal of Strategic Property Management, 26 (2). pp. 156-171. ISSN 1648-9179 (In Press)

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Abstract / Description

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 modeling identified ten emerging thematic topics in AI and PM. A comprehensive framework is proposed, and future research directions discussed.

Item Type:	Article
Uncontrolled Keywords:	property management; artificial intelligence; real estate management; STM; residential management; text mining
Subjects:	600 Technology 600 Technology > 650 Management & auxiliary services
Department:	Guildhall School of Business and Law
Depositing User:	Anil Kumar
Date Deposited:	03 May 2022 09:40
Last Modified:	27 May 2022 11:55
URI:	https://repository.londonmet.ac.uk/id/eprint/7544

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