RT Journal Article
T1 Business model innovation in real estate: Applying the business model navigator to conventional and Tokenised models.
A1 Galindo-Reyes, Fuensanta Carmen
A1 De-la-Varga-Salto, José María
K1 Empresas inmobiliarias
AB This study explores the application  of the Business Model Navigator framework to enhance business   models   within   the   real   estate   sector,   particularly   in   response   to   recent   technological advancements  and  shifting  market  dynamics.  By  analyzing  two  case  studies—a  traditional  luxury property  developer  and  a  blockchain-based  tokenisation  platform—the  research  demonstrates  how selected BMN patterns can drive value creation, improve operational efficiency, and enhance scalability. The traditional luxury real estate model, while excelling in delivering high-end properties and tailored customer  experiences,  faces  significant  scalability  challenges  due  to  its  capital-intensive  nature.  In contrast,   the   blockchain-based   tokenised   model   offers   improved   liquidity   and   broader   market accessibility  by  enabling  fractional  ownership,  though  it  encounters  obstacles  related  to  regulatory compliance and market acceptance of blockchain technology. This research concludes that both models can significantly benefit from the strategic incorporation of BMN patterns, which enhance adaptability and competitiveness in an evolving real estate landscape. The findings offer strategic recommendations for  both  traditional  and  innovative  real  estate  companies  seeking  to  optimise  their  business  models through the use of BMN patterns.
PB Edelweiss
YR 2024
FD 2024-10-31
LK https://hdl.handle.net/10630/44892
UL https://hdl.handle.net/10630/44892
LA eng
NO Galindo-Reyes, F., De la Varga-Salto, J.M. (2024). Business model innovation in real estate: Applying the business model navigator to conventional and Tokenised models. Edelweiss Applied Science and Technology, 8(6), 3465-3474.
DS RIUMA. Repositorio Institucional de la Universidad de Málaga
RD 27 feb 2026