IDEAS home Printed from https://ideas.repec.org/a/url/upravl/v14y2023i4p100-114.html
   My bibliography  Save this article

Psychographic consumer segmentation in the commercial real estate market: Methodological and practical aspects

Author

Listed:
  • Valeriya A. Nazarkina

    (Novosibirsk State Technical University, Novosibirsk, Russia)

Abstract

The commercial real estate market offers two facets: on the one hand, consumers face difficulties in making investment decisions, and on the other, developers are driven by the need to create investment products. The article presents a psychographic consumer segmentation methodology and tests it in conditions of the commercial real estate market. The theoretical framework of the study is classical marketing theory. The Enneagram method is applied to reveal consumers’ subconscious motives behind their behavioural characteristics and investment decision-making, in particular. Additionally, the LOV method is used to clarify investors’ values and motives. The empirical evidence of the research is the survey data from 10 experts in the field of marketing for construction obtained using the Delphi method and Thomas Saaty’s Analytic Hierarchy Process, as well as data from 53 actual and potential investors in commercial real estate. The author’s own consumer segmentation method is proposed, which is designed according to the specificities of the commercial real estate market. As part of the methodology testing, we have identified the types of investors and formulated a marketing programme for one of the priority types that provides for increasing the loyalty to, and recognition of, the organization among investors. The in-depth study of consumers’ personality types and values has substantially contributed to the development of an investment product and its successful promotion among potential investor

Suggested Citation

  • Valeriya A. Nazarkina, 2023. "Psychographic consumer segmentation in the commercial real estate market: Methodological and practical aspects," Upravlenets, Ural State University of Economics, vol. 14(4), pages 100-114, September.
  • Handle: RePEc:url:upravl:v:14:y:2023:i:4:p:100-114
    DOI: 10.29141/2218-5003-2023-14-4-7
    as

    Download full text from publisher

    File URL: https://upravlenets.usue.ru/images/104/7.pdf
    Download Restriction: no

    File URL: https://upravlenets.usue.ru/en/issues-2023/1341
    Download Restriction: no

    File URL: https://libkey.io/10.29141/2218-5003-2023-14-4-7?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
    ---><---

    References listed on IDEAS

    as
    1. Pérez-Gladish, B. & Gonzalez, I. & Bilbao-Terol, A. & Arenas-Parra, M., 2010. "Planning a TV advertising campaign: A crisp multiobjective programming model from fuzzy basic data," Omega, Elsevier, vol. 38(1-2), pages 84-94, February.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Li, Der-Chiang & Chang, Che-Jung & Chen, Chien-Chih & Chen, Wen-Chih, 2012. "Forecasting short-term electricity consumption using the adaptive grey-based approach—An Asian case," Omega, Elsevier, vol. 40(6), pages 767-773.
    2. Li, Deng-Feng, 2011. "Linear programming approach to solve interval-valued matrix games," Omega, Elsevier, vol. 39(6), pages 655-666, December.
    3. Hatami-Marbini, Adel & Tavana, Madjid, 2011. "An extension of the Electre I method for group decision-making under a fuzzy environment," Omega, Elsevier, vol. 39(4), pages 373-386, August.
    4. D'Urso, Pierpaolo & Disegna, Marta & Massari, Riccardo & Osti, Linda, 2016. "Fuzzy segmentation of postmodern tourists," Tourism Management, Elsevier, vol. 55(C), pages 297-308.
    5. Verdecho, María-José & Alfaro-Saiz, Juan-Jose & Rodriguez-Rodriguez, Raul & Ortiz-Bas, Angel, 2012. "A multi-criteria approach for managing inter-enterprise collaborative relationships," Omega, Elsevier, vol. 40(3), pages 249-263.

    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:url:upravl:v:14:y:2023:i:4:p:100-114. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: Victor Blaginin (email available below). General contact details of provider: https://edirc.repec.org/data/usueeru.html .

    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.