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Vol 2, 2025
Pages: 453 - 464
Review paper
Civil Engineering Editor: Andrija Zorić
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Published: 11.09.2025. Review paper Civil Engineering Editor: Andrija Zorić

Investor Decision-Making in Construction Development: Data-Driven Strategies for Optimal Investment Choices

By
Predrag Petronijević Orcid logo ,
Predrag Petronijević
Contact Predrag Petronijević

Department for Construction management, technology and Informatics in civil engineering, Faculty of Civil engineering, University of Belgrade , Belgrade , Serbia

Željko Marinković Orcid logo ,
Željko Marinković
Contact Željko Marinković

Department for Construction Management, Technology and Informatics in Civil Engineering, Faculty of Civil engineering, University of Belgrade , Belgrade , Serbia

Mihajlo Lazić Orcid logo
Mihajlo Lazić
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Department for Construction management, technology and Informatics in civil engineering, Faculty of Civil engineering, University of Belgrade , Belgrade , Serbia

Abstract

Investment decision-making in construction development is a multi-layered process shaped by market dynamics, financial risk assessments, regulatory frameworks, and emerging industry trends. In an era of rapid urbanization, digital transformation, and increasing sustainability concerns, investors must integrate diverse data sources and analytical methods to optimize their decisions. This study explores the key factors influencing investor choices, emphasizing the role of structured feasibility assessments, technological advancements, and environmental considerations in shaping investment strategies.

To investigate these aspects, this research will employ a combined narrative and thematic literature review approach. The narrative review will provide a broad exploration of key investment factors, tracing the evolution of decision-making frameworks in construction, including traditional investment principles, financial assessment models, and the impact of regulatory and economic shifts. The thematic review will categorize findings into structured decision-making components, aligning with key investment phases such as market analysis, risk assessment, financial modeling, and stakeholder engagement. This dual approach ensures both flexibility in exploring diverse literature and a structured synthesis of key themes, offering a comprehensive understanding of how investors evaluate construction opportunities.

The findings of this study highlight the increasing reliance on financial modeling, regulatory compliance mechanisms, and sustainability-driven investment criteria in modern construction decision-making. By integrating traditional feasibility assessments with modern investment analytics, this paper provides an updated, structured framework for evaluating construction investment opportunities. The study will equip investors, developers, and policymakers with insights to navigate complex and volatile markets, optimize decision-making processes, and enhance long-term project viability.

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