A sustainable artificial intelligence facilities management outsourcing relationships system: Case studies

Ka Leung Lok; Albert So; Alex Opoku; Charles Chen

doi:10.3389/fpsyg.2022.920625

A sustainable artificial intelligence facilities management outsourcing relationships system: Case studies

Front Psychol. 2022 Aug 4:13:920625. doi: 10.3389/fpsyg.2022.920625. eCollection 2022.

Authors

Ka Leung Lok¹, Albert So², Alex Opoku³, Charles Chen⁴

Affiliations

¹ National Research Base of Intelligent Manufacturing Service, Chongqing Technology and Business University, Chongqing, China.
² Asian Institute of Built Environment, Hong Kong, Hong Kong SAR, China.
³ College of Engineering, University of Sharjah, Sharjah, United Arab Emirates.
⁴ College of Business and Information Technology, University of Phoenix, Hawaii, HI, United States.

Abstract

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.

Keywords: CORE model; artificial neural networks (ANNs); facilities management outsourcing relationships system; facilities management strategies; outsourcing categories; sustainability.