Digitalisation and Business Models in Real Estate Management

This project examines the impact of widespread digital solutions on property value, exploring digitalisation’s new value propositions and possible business models.

Digital transformation is creating new avenues for innovative applications and altering market conditions within the real estate sector. These changes are expected to reshape both the property market and the business models of stakeholders involved in real estate construction and management.

Integrating virtual and physical representations of buildings facilitates extensive data collection and analysis. These data can encompass energy and water usage, temperature, humidity, air quality, usage patterns, carbon dioxide levels, and occupant presence. This information can be leveraged to optimise operational schedules and advance property automation systems. Access to these data also supports the analysis of value creation, revealing which interventions and services enhance property value and generate income.

This project examines the impact of widespread digital solutions on property value. Specifically, we explore digitalisation’s new value propositions and identify the business models capitalising on these opportunities. Our study focuses on the interaction between digital and physical building elements, examining how this integration fosters new environments and values that organisations can incorporate into their business strategies. Additionally, we investigate how various digital solutions align with business logic and influence property valuation.

This research aims to understand how digital solutions impact property values, exploring new value propositions and business models that can seize these opportunities. We analyse how the interaction between digital and physical building spaces creates novel environments and values that organisations can integrate into their strategies. Furthermore, the study examines how different types of digital solutions can be supported by business logic and their implications for property valuation.

Forskningsgrupp

Kanha Teang, Phd student

Agnieszka Zalejska Jonsson, huvudhandledare (KTH)

Sara Wilkinson, bihandledare (UTS)

Mats Wilhelmsson, bihandledare (KTH)