IDEAS home Printed from https://ideas.repec.org/a/eme/jpifpp/jpif-08-2020-0090.html
   My bibliography  Save this article

The rise of PropTech: emerging industrial technologies and their impact on real estate

Author

Listed:
  • Christopher W. Starr
  • Jesse Saginor
  • Elaine Worzala

Abstract

Purpose - Industry 4.0 recognizes a broad set of technologies that rapidly redefine industry, including real estate. These broad technologies include the Internet of things (IoT), cloud computing, decision automation, machine learning and artificial intelligence. This paper explores applies Industry 4.0 to commercial real estate, resulting in a framework defined here as Real Estate 4.0, a concept that encompasses fintech and proptech. Design/methodology/approach - This research paper examines Industry 4.0 technology to construct a framework for Real Estate 4.0. We also focus on how the COVID-19 pandemic is accelerating proptech, particularly as it relates to getting employees back into their traditional work environments. Findings - As a research paper, this is not a traditional research project with empirical findings. It is a primer on how the rapidly changing technologies of Industry 4.0 are now disrupting and transforming real estate today into what we are calling Real Estate 4.0. Practical implications - Practitioner insight and future research are informed by a framework for Real Estate 4.0 drawn from the technologies of Industry 4.0. Additional implications are outlined for practical, systemic change as a result of the COVID-19 pandemic within the scope of Real Estate 4.0 technology. Originality/value - This is a combined effort by experts in three contributing disciplines: systems science, planning and real estate. Our intent is to provide a primer for those of us in the latter two fields so that we can embrace the rapidly changing built environment landscape as it adjusts and adapts to a post COVID-19 environment that will be critical to maintain real estate investment values and enhance the real estate user's experience.

Suggested Citation

  • Christopher W. Starr & Jesse Saginor & Elaine Worzala, 2020. "The rise of PropTech: emerging industrial technologies and their impact on real estate," Journal of Property Investment & Finance, Emerald Group Publishing Limited, vol. 39(2), pages 157-169, November.
    • Handle: RePEc:eme:jpifpp:jpif-08-2020-0090
    DOI: 10.1108/JPIF-08-2020-0090
    as

    Download full text from publisher

    File URL: https://www.emerald.com/insight/content/doi/10.1108/JPIF-08-2020-0090/full/html?utm_source=repec&utm_medium=feed&utm_campaign=repec
    Download Restriction: Access to full text is restricted to subscribers
    File URL: https://www.emerald.com/insight/content/doi/10.1108/JPIF-08-2020-0090/full/pdf?utm_source=repec&utm_medium=feed&utm_campaign=repec
    Download Restriction: Access to full text is restricted to subscribers
    File URL: https://libkey.io/10.1108/JPIF-08-2020-0090?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Le Tung Bach, 2023. "The behavioral intention to adopt Proptech services in Vietnam real estate market," Papers 2312.06994, arXiv.org.
    2. Mohammad Nabipour & M. Ali Ülkü, 2021. "On Deploying Blockchain Technologies in Supply Chain Strategies and the COVID-19 Pandemic: A Systematic Literature Review and Research Outlook," Sustainability, MDPI, vol. 13(19), pages 1-32, September.
    3. Jinmin Kim & Jaeyoung Kim, 2021. "An Integrated Analysis of Value-Based Adoption Model and Information Systems Success Model for PropTech Service Platform," Sustainability, MDPI, vol. 13(23), pages 1-17, November.
    4. Jinmin Kim & AhRam Cho & Jaeyoung Kim, 2022. "Effect of the Standardization of Service Platforms for High-Involvement PropTech Services," Sustainability, MDPI, vol. 14(9), pages 1-18, April.
    5. Mintah, Kwabena & Boateng, Festival Godwin & Baako, Kingsley Tetteh & Gaisie, Eric & Otchere, Gideon Kwame, 2021. "Blockchain on stool land acquisition: Lessons from Ghana for strengthening land tenure security other than titling," Land Use Policy, Elsevier, vol. 109(C).
    6. Sorin-Ciprian Teiusan & Sorin-Constantin Deaconu, 2021. "Artificial Intelligence And Covid-19: An Analysis In Business And Economics," Annals - Economy Series, Constantin Brancusi University, Faculty of Economics, vol. 5, pages 144-156, October.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eme:jpifpp:jpif-08-2020-0090. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Emerald Support (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.