The real estate industry holds a remarkably significant share in the Turkish economy. Due to the nature ofthe dynamic characteristics of the real estate industry, project achievement is not an easy task. Choosing the appropriate Project Delivery Method (PDM) is significantly crucial, considering that it provides various benefits, including economic contribution and time-saving. This study aims to determine the main factors affecting PDM selection with the most suitable analysis method for real estate projects in Turkey. The PDM types used in the real estate sector and the factors affecting the appropriate PDM selection process are identified based on literature review and interviews with professionals related to the Turkish real estate industry. The model generated is utilized as a tool in choosing the appropriate PDM in real estate projects by using Fuzzy Analytical Hierarchy Process (AHP). In terms of the theoretical contribution to the literature, this study identifies five main factors categorized as i) time-related issues, ii) cost, funding and cash flow related issues, iii) scope related issues, iv) owner organization, risk, and relationship related issues, and vi)project characteristic issues with 13 sub-factors. In addition to the theoretical contribution, a hierarchical model and a Fuzzy AHP based approach to select the appropriate PDM for the real estate projects in Turkey are provided as a practical contribution.

Emerging technologies are transforming Facilities Management (FM), enabling more efficient and accurate building inspections and maintenance. Mixed Reality (MR), which integrates virtual content into real-world environments, has shown potential for improving operational performance and technician training. This study presents the development and evaluation of an MR-assisted system designed to support facility operations in academic buildings. The system was tested across three case scenarios, namely plumbing, lighting, and fire sprinkler systems, using Microsoft HoloLens^®. A mixed-methods approach combined a post-use questionnaire and semi-structured interviews with twelve FM professionals, including technicians, inspectors, and managers. Results indicated that 66.67% of participants found the MR interface highly effective in visualizing systems and guiding maintenance steps. 83.33% agreed that checklist integration enhanced accuracy and learning. Technical challenges, including model drift, latency, and occasional software crashes, were also observed. Overall, the study confirms the feasibility of MR for FM training and inspection, offering a foundation for broader implementation and future research. The findings provide valuable insights into how MR-based visualization and interaction tools can enhance efficiency, learning, and communication in facility operations.