| dc.contributor.author | Naz, Farheen | |
| dc.contributor.author | Kumar, Anil | |
| dc.contributor.author | Upadhyay, Arvind | |
| dc.contributor.author | Chokshi, Hemakshi | |
| dc.contributor.author | Trinkūnas, Vaidotas | |
| dc.contributor.author | Magda, Robert | |
| dc.date.accessioned | 2023-09-18T16:16:56Z | |
| dc.date.available | 2023-09-18T16:16:56Z | |
| dc.date.issued | 2022 | |
| dc.identifier.issn | 1648-715X | |
| dc.identifier.other | (crossref_id)137138650 | |
| dc.identifier.uri | https://etalpykla.vilniustech.lt/handle/123456789/112681 | |
| dc.description.abstract | 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. | eng |
| dc.format | PDF | |
| dc.format.extent | p. 156-171 | |
| dc.format.medium | tekstas / txt | |
| dc.language.iso | eng | |
| dc.relation.isreferencedby | Social Sciences Citation Index (Web of Science) | |
| dc.relation.isreferencedby | Scopus | |
| dc.relation.isreferencedby | DOAJ | |
| dc.relation.isreferencedby | INSPEC | |
| dc.relation.isreferencedby | ICONDA | |
| dc.relation.isreferencedby | ProQuest Central | |
| dc.relation.isreferencedby | Business Source Complete | |
| dc.source.uri | https://journals.vilniustech.lt/index.php/IJSPM/article/view/16923/11174 | |
| dc.title | Property management enabled by artificial intelligence post Covid-19: an exploratory review and future propositions | |
| dc.type | Straipsnis Web of Science DB / Article in Web of Science DB | |
| dcterms.accessRights | This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. | |
| dcterms.license | Creative Commons – Attribution – 4.0 International | |
| dcterms.references | 99 | |
| dc.type.pubtype | S1 - Straipsnis Web of Science DB / Web of Science DB article | |
| dc.contributor.institution | Hungarian University of Agriculture and Life Sciences; Godollo | |
| dc.contributor.institution | London Metropolitan University | |
| dc.contributor.institution | University of Stavanger | |
| dc.contributor.institution | Vilniaus Gedimino technikos universitetas | |
| dc.contributor.institution | Hungarian University of Agriculture and Life Sciences; Godollo North-West University; Vanderbijlpark | |
| dc.contributor.faculty | Statybos fakultetas / Faculty of Civil Engineering | |
| dc.subject.researchfield | T 002 - Statybos inžinerija / Construction and engineering | |
| dc.subject.vgtuprioritizedfields | SD0404 - Statinių skaitmeninis modeliavimas ir tvarus gyvavimo ciklas / BIM and Sustainable lifecycle of the structures | |
| dc.subject.ltspecializations | L106 - Transportas, logistika ir informacinės ir ryšių technologijos (IRT) / Transport, logistic and information and communication technologies | |
| dc.subject.en | property management | |
| dc.subject.en | artificial intelligence | |
| dc.subject.en | real estate management | |
| dc.subject.en | structural topic modeling | |
| dc.subject.en | residential management | |
| dc.subject.en | text mining | |
| dcterms.sourcetitle | International journal of strategic property management | |
| dc.description.issue | iss. 2 | |
| dc.description.volume | vol. 26 | |
| dc.publisher.name | Vilnius Gediminas Technical University | |
| dc.publisher.city | Vilnius | |
| dc.identifier.doi | 137138650 | |
| dc.identifier.doi | 000798570200001 | |
| dc.identifier.doi | 10.3846/ijspm.2022.16923 | |
| dc.identifier.elaba | 130547284 | |
