Information-analytical innovations and business models for managing the business portfolio of developer enterprises in construction
Year: 2024
Type: article
Abstract: The article examines the current state of construction development, the challenges companies face in the market, and an analysis of practical approaches to forming a business portfolio, as well as the prospects for industry development under global changes. The study analyzes the analytical support for managing the economic adaptability of developer construction companies in a dynamic market environment. Key components of this process include financial-economic analysis, market condition monitoring, trend forecasting, and risk management. The role of project management information systems, such as ERP and CRM, which integrate finance, resources, and human capital, is also considered. The implementation of innovative technologies, such as BIM and SCM, enhances the efficiency of construction processes and allows companies to adapt flexibly to changes. The article emphasizes that comprehensive analytical support is crucial for maintaining developers' resilience and competitiveness. The article analyzes business models for managing the economic portfolio of developers in the construction sector. Among the examined models are the diversified portfolio model, focused model, project management model, public-private partnership (PPP) model, investment funds model (REITs), strategic alliance model, integrated model (vertical integration), outsourcing model, cyclical model, and the model focused on sustainable construction. These business models enable companies to effectively manage risks, improve profitability, and adapt to changing market conditions by using various portfolio management strategies. A detailed characterization of the project diagnostics system based on functional-economic indicators for forming a developer’s business portfolio in construction is provided.
Authors: Serhii Zaichuk, Oksana Malykhina
Language: English
Subfield: Architecture
Field: Engineering
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4404725117