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A sustainable artificial intelligence facilities management outsourcing relationships system: Case studies
The purpose of this article was to validate the published artificial intelligence (AI) facilities management (FM) outsourcing relationships system by real business cases in the working environment. The research aims to inspire the modern FM professionals in different industries with some challenging...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9423375/ https://www.ncbi.nlm.nih.gov/pubmed/36046417 http://dx.doi.org/10.3389/fpsyg.2022.920625 |
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author | Lok, Ka Leung So, Albert Opoku, Alex Chen, Charles |
author_facet | Lok, Ka Leung So, Albert Opoku, Alex Chen, Charles |
author_sort | Lok, Ka Leung |
collection | PubMed |
description | The purpose of this article was to validate the published artificial intelligence (AI) facilities management (FM) outsourcing relationships system by real business cases in the working environment. The research aims to inspire the modern FM professionals in different industries with some challenging and innovative concepts about FM outsourcing relationships between facilities owners and service providers. First, it will briefly introduce the theory of the FM outsourcing relationships system on how it can help the FM seniors and strategists to design their FM daily strategies wisely and make their business more effective and productive. Second, it will also introduce what the research is practically doing in the stage of case study for test and verification. It is concluded that FM outsourcing categorization may help to define the appropriate relationships. This further detailed outcome generated from the AI can be considered a solid reference to define and explain the existing outsourcing relationships between the stakeholders and the service providers to assign an outsourcing category to the FM relationship between the client and service provider based on the learnt rules. |
format | Online Article Text |
id | pubmed-9423375 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-94233752022-08-30 A sustainable artificial intelligence facilities management outsourcing relationships system: Case studies Lok, Ka Leung So, Albert Opoku, Alex Chen, Charles Front Psychol Psychology The purpose of this article was to validate the published artificial intelligence (AI) facilities management (FM) outsourcing relationships system by real business cases in the working environment. The research aims to inspire the modern FM professionals in different industries with some challenging and innovative concepts about FM outsourcing relationships between facilities owners and service providers. First, it will briefly introduce the theory of the FM outsourcing relationships system on how it can help the FM seniors and strategists to design their FM daily strategies wisely and make their business more effective and productive. Second, it will also introduce what the research is practically doing in the stage of case study for test and verification. It is concluded that FM outsourcing categorization may help to define the appropriate relationships. This further detailed outcome generated from the AI can be considered a solid reference to define and explain the existing outsourcing relationships between the stakeholders and the service providers to assign an outsourcing category to the FM relationship between the client and service provider based on the learnt rules. Frontiers Media S.A. 2022-08-04 /pmc/articles/PMC9423375/ /pubmed/36046417 http://dx.doi.org/10.3389/fpsyg.2022.920625 Text en Copyright © 2022 Lok, So, Opoku and Chen. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Psychology Lok, Ka Leung So, Albert Opoku, Alex Chen, Charles A sustainable artificial intelligence facilities management outsourcing relationships system: Case studies |
title | A sustainable artificial intelligence facilities management outsourcing relationships system: Case studies |
title_full | A sustainable artificial intelligence facilities management outsourcing relationships system: Case studies |
title_fullStr | A sustainable artificial intelligence facilities management outsourcing relationships system: Case studies |
title_full_unstemmed | A sustainable artificial intelligence facilities management outsourcing relationships system: Case studies |
title_short | A sustainable artificial intelligence facilities management outsourcing relationships system: Case studies |
title_sort | sustainable artificial intelligence facilities management outsourcing relationships system: case studies |
topic | Psychology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9423375/ https://www.ncbi.nlm.nih.gov/pubmed/36046417 http://dx.doi.org/10.3389/fpsyg.2022.920625 |
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