Cloud Based Property Management System: Enhancing Real Estate Operation and Tenant Experience


Authors : Edjay Caparos; Cedie Gabriel; Reginald Prudente; Remia Romero

Volume/Issue : Volume 10 - 2025, Issue 5 - May


Google Scholar : https://tinyurl.com/fwyh38ew

DOI : https://doi.org/10.38124/ijisrt/25may851

Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.


Abstract : This study presents the development and evaluation of a cloud-based property management system (PMS) designed to enhance operational efficiency, data security, and tenant satisfaction for real estate businesses in Region XII, Philippines. Using a descriptive research design and Likert-scale survey data from JC Hotel and Convention Center staff, the system was assessed across four dimensions: usability, security, operational efficiency, and tenant experience. Results showed consistent positive ratings, with security (mean = 3.50) as the highest-performing factor. Key system features include automated billing, secure access controls, and realtime tenant communication. The findings confirm the potential of cloud- based PMS as a scalable, cost-effective solution that addresses traditional inefficiencies while meeting cybersecurity standards.

Keywords : Cloud Computing, Property Management System, Real Estate Technology, Cybersecurity, Operational Efficiency, Tenant Experience, System Usability, Data Privacy, Region XII, Cloud-Based Solutions.

References :

  1. Garuba, M., Patton, M., & Abdelmoti, M. (2022). Implementing Zero Trust in Cloud Environments. IEEE Security & Privacy, 20(5), 22-29. 
  2. Kumar, R., & Patel, D. (2022). Privacy-Enhancing Technologies for Secure Data Analytics. Journal of Privacy and Security Studies, 14(1), 34-49. 
  3. Mollah, M. B., Azad, M. A. K., & Vasilakos, A. V. (2021). Blockchain for Future Cloud Security: State-of-the-Art and Future Directions. IEEE Communications Surveys & Tutorials, 23(3), 106-129. 
  4. Nguyen, C. T., Lin, Y. D., & Lin, P. C. (2022). AI in Cybersecurity: Applications and Challenges. Computers & Security, 120, 102802. 
  5. Palmer, J., Smith, K., & Brown, L. (2023). Best Practices in Cloud Security Posture Management. Cloud Computing Journal, 15(2), 89-102. 
  6. Smith, A., & Lee, P. (2021). AI-Powered Compliance Management in Cloud Environments. Journal of Compliance and Risk Management, 18(4), 45-62.

This study presents the development and evaluation of a cloud-based property management system (PMS) designed to enhance operational efficiency, data security, and tenant satisfaction for real estate businesses in Region XII, Philippines. Using a descriptive research design and Likert-scale survey data from JC Hotel and Convention Center staff, the system was assessed across four dimensions: usability, security, operational efficiency, and tenant experience. Results showed consistent positive ratings, with security (mean = 3.50) as the highest-performing factor. Key system features include automated billing, secure access controls, and realtime tenant communication. The findings confirm the potential of cloud- based PMS as a scalable, cost-effective solution that addresses traditional inefficiencies while meeting cybersecurity standards.

Keywords : Cloud Computing, Property Management System, Real Estate Technology, Cybersecurity, Operational Efficiency, Tenant Experience, System Usability, Data Privacy, Region XII, Cloud-Based Solutions.

Never miss an update from Papermashup

Get notified about the latest tutorials and downloads.

Subscribe by Email

Get alerts directly into your inbox after each post and stay updated.
Subscribe
OR

Subscribe by RSS

Add our RSS to your feedreader to get regular updates from us.
Subscribe