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

Area of Science:

• Facilities Management
• Artificial Intelligence
• Business Strategy

Background:

• Facilities management (FM) outsourcing is crucial for operational efficiency.
• Developing effective outsourcing relationship systems is a key challenge for FM professionals.
• Existing AI systems require validation in practical business environments.

Purpose of the Study:

• To validate a published artificial intelligence (AI) system for facilities management (FM) outsourcing relationships.
• To inspire FM professionals with innovative concepts for owner-service provider collaborations.
• To provide a framework for designing effective FM outsourcing strategies.

Main Methods:

• Validation of the AI system using real-world business case studies.
• Introduction of the theoretical underpinnings of the FM outsourcing relationships system.
• Practical application and testing of the AI system in a case study setting.

Main Results:

• The AI system demonstrated effectiveness in validating FM outsourcing relationships.
• The research provides innovative concepts for modern FM professionals.
• Case study verification confirmed the AI's practical utility.

Conclusions:

• Facilities management outsourcing categorization, powered by AI, aids in defining appropriate relationships.
• The AI-generated outcomes serve as a reference for explaining and defining stakeholder relationships.
• This AI system can assign an outsourcing category based on learned rules, optimizing client-provider dynamics.