Property management enabled by artificial intelligence post Covid-19: an exploratory review and future propositions
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 ris...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English English |
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Vilnius Gediminas Technical University
2022
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| Online Access: | https://repository.londonmet.ac.uk/7544/1/Revised_Manuscript.docx https://repository.londonmet.ac.uk/7544/3/16923-Article%20Text-64272-2-10-20220510.pdf |
| _version_ | 1804072784813359104 |
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| author | Naz, Farheen Kumar, Anil Upadhyay, Arvind Chokshi, Hemakshi Trinkūnas, Vaidotas Magda, Robert |
| author_facet | Naz, Farheen Kumar, Anil Upadhyay, Arvind Chokshi, Hemakshi Trinkūnas, Vaidotas Magda, Robert |
| author_sort | Naz, Farheen |
| collection | LMU |
| 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. |
| first_indexed | 2024-07-09T04:04:39Z |
| format | Article |
| id | oai:repository.londonmet.ac.uk:7544 |
| institution | London Metropolitan University |
| language | English English |
| last_indexed | 2024-07-09T04:04:39Z |
| publishDate | 2022 |
| publisher | Vilnius Gediminas Technical University |
| record_format | eprints |
| spelling | oai:repository.londonmet.ac.uk:75442024-01-11T15:30:23Z http://repository.londonmet.ac.uk/7544/ 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 Magda, Robert 600 Technology 650 Management & auxiliary services 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. Vilnius Gediminas Technical University 2022-05-10 Article PeerReviewed text en cc_by_nc_nd_4 https://repository.londonmet.ac.uk/7544/1/Revised_Manuscript.docx text en cc_by_4 https://repository.londonmet.ac.uk/7544/3/16923-Article%20Text-64272-2-10-20220510.pdf 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 https://doi.org/10.3846/ijspm.2022.16923 10.3846/ijspm.2022.16923 |
| spellingShingle | 600 Technology 650 Management & auxiliary services Naz, Farheen Kumar, Anil Upadhyay, Arvind Chokshi, Hemakshi Trinkūnas, Vaidotas Magda, Robert Property management enabled by artificial intelligence post Covid-19: an exploratory review and future propositions |
| title | Property management enabled by artificial intelligence post Covid-19: an exploratory review and future propositions |
| title_full | Property management enabled by artificial intelligence post Covid-19: an exploratory review and future propositions |
| title_fullStr | Property management enabled by artificial intelligence post Covid-19: an exploratory review and future propositions |
| title_full_unstemmed | Property management enabled by artificial intelligence post Covid-19: an exploratory review and future propositions |
| title_short | Property management enabled by artificial intelligence post Covid-19: an exploratory review and future propositions |
| title_sort | property management enabled by artificial intelligence post covid 19 an exploratory review and future propositions |
| topic | 600 Technology 650 Management & auxiliary services |
| url | https://repository.londonmet.ac.uk/7544/1/Revised_Manuscript.docx https://repository.londonmet.ac.uk/7544/3/16923-Article%20Text-64272-2-10-20220510.pdf |
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