Akademik Veri Yönetim Sistemi
Management for Professionals, Springer Nature, ss.495-530, 2026
This chapter examines the integration of risk analysis and decision-making into real estate development projects, highlighting the growing importance of data-driven and systematic methods amid increasing complexity and uncertainty. Based on a comprehensive review of existing literature and field research with leading construction firms, this chapter demonstrates how Decision Support Systems (DSS) enhance developers’ ability to identify, assess, and manage project risks. Key risk factors are categorised at both company and project levels, including political instability, financing challenges, site selection, and development delays. Different risk assessment and decision-making techniques are examined, such as scenario analysis, Monte Carlo simulations, the Analytic Hierarchy Process (AHP), and fuzzy logic. Results indicate a prevalent lack of systematic risk management in the real estate industry, despite widespread recognition of its importance. The chapter concludes by underscoring the need to combine risk analysis with DSS to enable informed, strategic, and sustainable decision-making, and advocates for institutional backing, data transparency, and the cultivation of specialised human resources.