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...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Frontiers Media S.A.
2022-08-01
|
| Series: | Frontiers in Psychology |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fpsyg.2022.920625/full |
| _version_ | 1818083877022859264 |
|---|---|
| author | Ka Leung Lok Albert So Alex Opoku Charles Chen |
| author_facet | Ka Leung Lok Albert So Alex Opoku Charles Chen |
| author_sort | Ka Leung Lok |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-12-10T19:44:58Z |
| format | Article |
| id | doaj.art-e75f7b91f94b4805aa7e55e912be3989 |
| institution | Directory Open Access Journal |
| issn | 1664-1078 |
| language | English |
| last_indexed | 2024-12-10T19:44:58Z |
| publishDate | 2022-08-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Psychology |
| spelling | doaj.art-e75f7b91f94b4805aa7e55e912be39892022-12-22T01:35:54ZengFrontiers Media S.A.Frontiers in Psychology1664-10782022-08-011310.3389/fpsyg.2022.920625920625A sustainable artificial intelligence facilities management outsourcing relationships system: Case studiesKa Leung Lok0Albert So1Alex Opoku2Charles Chen3National Research Base of Intelligent Manufacturing Service, Chongqing Technology and Business University, Chongqing, ChinaAsian Institute of Built Environment, Hong Kong, Hong Kong SAR, ChinaCollege of Engineering, University of Sharjah, Sharjah, United Arab EmiratesCollege of Business and Information Technology, University of Phoenix, Hawaii, HI, United StatesThe 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.https://www.frontiersin.org/articles/10.3389/fpsyg.2022.920625/fullartificial neural networks (ANNs)facilities management outsourcing relationships systemfacilities management strategiesoutsourcing categoriesCORE modelsustainability |
| spellingShingle | Ka Leung Lok Albert So Alex Opoku Charles Chen A sustainable artificial intelligence facilities management outsourcing relationships system: Case studies Frontiers in Psychology artificial neural networks (ANNs) facilities management outsourcing relationships system facilities management strategies outsourcing categories CORE model sustainability |
| 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 | artificial neural networks (ANNs) facilities management outsourcing relationships system facilities management strategies outsourcing categories CORE model sustainability |
| url | https://www.frontiersin.org/articles/10.3389/fpsyg.2022.920625/full |
| work_keys_str_mv | AT kaleunglok asustainableartificialintelligencefacilitiesmanagementoutsourcingrelationshipssystemcasestudies AT albertso asustainableartificialintelligencefacilitiesmanagementoutsourcingrelationshipssystemcasestudies AT alexopoku asustainableartificialintelligencefacilitiesmanagementoutsourcingrelationshipssystemcasestudies AT charleschen asustainableartificialintelligencefacilitiesmanagementoutsourcingrelationshipssystemcasestudies AT kaleunglok sustainableartificialintelligencefacilitiesmanagementoutsourcingrelationshipssystemcasestudies AT albertso sustainableartificialintelligencefacilitiesmanagementoutsourcingrelationshipssystemcasestudies AT alexopoku sustainableartificialintelligencefacilitiesmanagementoutsourcingrelationshipssystemcasestudies AT charleschen sustainableartificialintelligencefacilitiesmanagementoutsourcingrelationshipssystemcasestudies |