Research Output
Modelling The Drivers Of Data Science Techniques For Real Estate Professionals In The Fourth Industrial Revolution Era
  The study aims to develop a model that supports the application of data science techniques for real estate professionals in the fourth industrial revolution (4IR) era. The present 4IR era gave birth to big data sets and is beyond real estate professionals' analysis techniques. This has led to a situation where most real estate professionals rely on their intuition while neglecting a rigorous analysis for real estate investment appraisals. The heavy reliance on their intuition has been responsible for the underperformance of real estate investment, especially in Africa.
This study utilised a survey questionnaire to randomly source data from real estate professionals. The questionnaire was analysed using a combination of SPSS V24 and AMOS graphics V27 software. Exploratory factor analysis was employed to break down the variables (drivers) into meaningful dimensions useful for developing the conceptual framework. The framework was validated using covariance-based structural equation modelling. The model was validated using fit indices like discriminant validity, SRMR, CFI, NFI, etc.
The model revealed that an inclusive educational system, decentralised real estate market and data management system are the major drivers for applying data science techniques for real estate professionals. Also, real estate professionals' application of the drivers will guarantee an effective data analysis of real estate investments.
Numerous studies have clamoured for the adoption of data science techniques for real estate professionals. There is a lack of studies on the drivers that will guarantee the successful adoption of data science techniques. A modern form of data analysis for real estate professionals was also proposed in the study.

  • Type:

    Article

  • Date:

    15 September 2022

  • Publication Status:

    Accepted

  • DOI:

    10.1108/PM-05-2022-0034

  • ISSN:

    0263-7472

  • Funders:

    Edinburgh Napier Funded

Citation

Osunsanmi, T., Olawumi, T., Smith, A., Deakin, M., Jaradat, S., Aigbavboa, C., …Oyeyipo, O. (in press). Modelling The Drivers Of Data Science Techniques For Real Estate Professionals In The Fourth Industrial Revolution Era. Property Management, https://doi.org/10.1108/PM-05-2022-0034

Authors

Keywords

Asset valuation; Property management; Real estate; Investments Property Management

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