EconPapers    
Economics at your fingertips  
 

Digitalization Trends in Real Estate Management

Michael May (), Thomas Bender (), Joachim Hohmann (), Erik Jaspers (), Thomas Kalweit (), Stefan Koch (), Markus Krämer (), Michael Marchionini (), Maik Schlundt () and Nino Turianskyj ()
Additional contact information
Michael May: Deutscher Verband für Facility Management (GEFMA)
Thomas Bender: pit – cup GmbH
Joachim Hohmann: Technische Universität Kaiserslautern
Erik Jaspers: Planon B.V.
Thomas Kalweit: net-haus GmbH
Stefan Koch: Axentris Informationssysteme GmbH
Markus Krämer: Hochschule für Technik und Wirtschaft Berlin
Michael Marchionini: ReCoTech GmbH
Maik Schlundt: DKB Service GmbH
Nino Turianskyj: LED-Studien GmbH

Chapter Chapter 2 in BIM in Real Estate Operations, 2023, pp 19-68 from Springer

Abstract: Abstract Digitalization is an important, and in many cases the most important driver of innovation in industry. This also applies to the real estate industry and, in particular, to real estate and facility management (FM). Established technologies such as CAFM work closely with modern digitalization trends such as IoT. In general where it is possible to adopt and use such IT-based technologies, the economic return on investment usually quickly follows. The main reason is these systems reduce time-consuming and error-prone transformation and coordination processes. In this chapter, digitalization trends are presented, which are already important for the real estate and FM industry today, but even more in the future. These include CAFM/IWMS, BIM, Mobile and Cloud Computing, Augmented Reality, Big Data, IoT, AI, Digital Workplce and Simulation and Integration Techniques. The chapter presents the diversity of these technologies and their development potentials.

Date: 2023
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-658-40830-5_2

Ordering information: This item can be ordered from
http://www.springer.com/9783658408305

DOI: 10.1007/978-3-658-40830-5_2

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-04-02
Handle: RePEc:spr:sprchp:978-3-658-40830-5_2