Smart Property Management Systems for Enhancing Rental Market Transparency

Thesis Abstract

In contemporary real estate markets, opacity in rental transactions often impairs decision-making, inflates transaction costs, and fosters mistrust among landlords, tenants, and service providers, thereby necessitating innovative solutions to enhance transparency. This research investigates the development and implementation of a smart property management system (SPMS) designed to improve rental market transparency through ICT-driven functionalities such as real-time data sharing, automated valuation, digital documentation, and transparent communication channels. The primary aim is to assess how such systems influence stakeholders’ perceptions of market transparency, transactional efficiency, and trustworthiness within the rental sector. Specific objectives include evaluating the extent of transparency improvements attributable to SPMS, identifying critical technological features that enhance data credibility, and analyzing the system’s impact on stakeholder engagement and market fluidity. A mixed-methods research design was adopted, integrating quantitative surveys and qualitative interviews to provide comprehensive insights into the system’s efficacy. The population comprised property managers, landlords, and tenants operating within the metropolitan rental market, with a total accessible population of approximately 2,500 stakeholders. A stratified random sampling technique was employed to select 400 respondents for quantitative analysis, ensuring proportional representation across stakeholder groups. Quantitative data were collected through structured questionnaires validated via content and construct validity procedures, and piloted to establish reliability with a Cronbach’s alpha exceeding 0.78. Additionally, 20 in-depth interviews were conducted to uncover contextual factors and user experiences, with thematic analysis applied to interpret qualitative data. Data analysis involved multiple statistical techniques, including descriptive statistics to profile respondent characteristics, regression analysis to determine the relationship between system adoption and perceived transparency levels, and ANOVA to compare stakeholder groups regarding system efficacy perceptions. Thematic analysis was used to interpret interview transcripts, identifying recurring themes related to trust, usability, and market confidence. The study hypothesizes that the implementation of SPMS positively correlates with perceived transparency, stakeholder trust, and transactional efficiency. Expected findings indicate that SPMS significantly improves rental market transparency, as evidenced by increased trust scores and perceived fairness among users, and reduces procedural ambiguities through automation and standardized documentation. The analysis is anticipated to reveal that features such as real-time data access, digital payment integrations, and transparent communication portals are critical determinants for user trust and system adoption. Furthermore, the research expects to identify barriers to effective implementation, including technological literacy gaps, data privacy concerns, and infrastructural limitations. This study contributes to the theoretical understanding of how ICT systems influence transparency and trust in property markets, extending frameworks such as the Technology Acceptance Model (TAM) and the Stakeholder Theory within real estate contexts. It provides empirical evidence demonstrating the role of smart management systems in transforming conventional rental markets into more transparent, efficient, and trustworthy environments. Practically, the findings inform policymakers, property managers, and technology developers about key features and challenges necessary for successful system deployment. The main conclusion underscores that well-designed SPMS can serve as a pivotal tool to reduce information asymmetry, enhance stakeholder confidence, and foster a more efficient rental market. Based on the results, recommendations include scaling system deployment with targeted training to improve technological literacy, establishing robust data privacy protocols to mitigate user concerns, and integrating scalable ICT solutions into existing property management workflows. The study suggests further research to evaluate long-term impacts of smart management systems and explore their applicability across different regional and socio-economic contexts, aiming to deepen understanding of digital transformation in real estate markets globally.