A growing number of articles have identified and reported the benefits and importance of urban green spaces for improving human well-being, but there is a significant knowledge gap regarding the impact of urban green spaces on the subjective well-being of older adults. The literature search (August 2015–August 2022) was derived from two major scientific databases, Google Scholar, and Web of Science. As a result, 2558 articles were found, 1527 of which were retrieved from WOS and the rest from Google Scholar. Bibliometric methods and VOSviewer software were used to screen and organize the articles in the relevant fields. Finally, 65 articles met the review criteria. The included studies aim to capture the benefits of various features of urban green spaces in meeting or enhancing the subjective well-being needs of older adults. The results of our review further support the existence of a strong link between older adults’ subjective well-being and various features of urban green spaces, providing new insights for future in-depth reexamination and policy development. Furthermore, the relationship between urban green spaces and older adults’ subjective well-being depends not only on the urban green spaces themselves but also on the characteristics of the older adult population that uses them.

Based on the background of rapid global ageing, research exploring urban green spaces and the subjective well-being of urban residents has become one of the key research interests. However, the evidence for assessing the real benefits of urban green spaces on the subjective well-being of older adults by comprehensively examining the features of urban green spaces is limited. We surveyed older urban green space users (n = 536) aged 60 years and older in Nanjing, China, and evaluated the impacts of spatial, green, and grey features of urban green spaces on older people's overall satisfaction with urban green spaces and subjective well-being. The results of the multiple linear regression model showed a strong association between the three types of urban green space features, overall satisfaction with urban green space, and subjective well-being of older adults. The study results indicated that the grey feature of urban green spaces emerged as the most influential factor (p = 0.004) among the three features of urban green spaces in relation to their effect on the subjective well-being of older adults. This implies that it is essential to focus on the importance of grey s of urban green spaces in the planning and design of urban green spaces for older adults' use of different urban green spaces and their sense of well-being. These results contribute to the development of healthy ageing policies and age-friendly urban green space management strategies in rapid ageing countries around the world.

Purpose: The integration of Artificial Intelligence (AI) in property management transactions is transforming the real estate sector via improved automation, predictive analytics, intelligent property management and enhanced decision-making. This study investigates how AI enhances property management transactions as well as the significant barriers to its implementation. Design/methodology/approach: This research employs a systematic literature review (SLR) and NVivo-based qualitative analysis to discern significant trends, innovations and obstacles in the adoption of AI. The study analyzes existing literature and industry reports to identify patterns, challenges and emerging solutions in AI-driven property management. Findings: The results indicate that AI markedly enhances efficiency (automation and predictive analytics), tenant engagement (behavior analysis and intelligent communication), property value (AI-driven assessments) and sustainability (energy optimization and waste minimization). Nevertheless, obstacles to widespread adoption persist, including data privacy issues, legal and ethical challenges, budgetary limitations and opposition from stakeholders. Smaller real estate enterprises have heightened hurdles stemming from the digital divide, security vulnerabilities and algorithmic prejudice. Research limitations/implications: The study is mostly based on secondary data from literature and industry sources, which may limit the findings' applicability to real-world scenarios. Future research could use empirical data, such as case studies or surveys, to confirm AI’s practical influence in a variety of property markets. Practical implications: The findings offer valuable insights for real estate professionals, investors and AI developers on how to effectively integrate AI into property management. Key areas for practical implication include predictive maintenance relating to IoT usage; property valuation automation; AI-powered tenant screening; Site selection and market forecasting; Chabot and NLP for leasing; and blockchain integration and fraud detection. To achieve effective integration, industry stakeholders must emphasize ethical AI governance, stringent data security and cooperation between AI and humans. Additionally, AI’s synergy with cloud computing, blockchain and the Internet of Things (IoTs) may enhance transparency, security and efficiency in real estate transactions. Social implications: The adoption of AI in property management has broader societal consequences, including the possibility of job displacement and the necessity for reskilling initiatives to assist real estate workers. An equitable strategy that encourages innovation, reduces risks and increases worker flexibility is required to realize AI’s full potential in property management. This study emphasizes the importance of collaboration among researchers, real estate companies, legislators and AI technologies developers. Originality/value: This study contributes to the expanding body of knowledge on AI in real estate by providing a structured qualitative synthesis of AI uses, barriers and future potential. Unlike prior studies that have focused only on AI benefits, this study offers a balanced evaluation of both the promise and constraints of AI-driven property management transactions.

Purpose: Property management companies in residential properties are increasingly using ICT and specific property management software applications to conduct daily property management tasks. However, the benefits of using specific software applications and how it can add value to property management companies are largely unexplored. The present study examines the impact of property management mobile applications usage features on strata property residents' satisfaction in Kuala Lumpur.Design/methodology/approach: A total of 205 residents from 3 strata residential buildings in Kuala Lumpur using property management applications were surveyed. The study employed structural equation modelling using SPSS Amos software.Findings: The findings suggest that visitor management and security management via software applications positively influence the residents' satisfaction. However, facility management via software application was found to be negatively affecting residents' satisfaction.Originality/value: The study highlighted the benefit of property managers adopting property management software to achieve increased residents' satisfaction in strata residential properties.

The Malaysian Government’s vision is to provide Malaysians of all income levels accessibility to adequate, affordable, and quality housing, particularly those from the low-income group (B40). For several decades, the Malaysian Government has played an important role in the provision of low-cost public housing by building houses either for sale or rent. In Kuala Lumpur, the administration of low-cost public housing is managed by Dewan Bandaraya Kuala Lumpur (DBKL). Recently, there has been a pressing need for more public rental houses in Kuala Lumpur, evident from the vast number of B40 applicants awaiting settlement. However, the number of vacant units for housing is very limited. The paper discusses the role of DBKL in shaping the public housing pathways by reviewing the current DBKL’s PPR Operational Policies. The paper is constructed based on policy review, as well as data from interviews with DBKL officials. The DBKL’s operational policies from the point of view of tenant “Enter” until “Exit” was mapped with the housing pathways. The study found a variety of operational policies that DBKL has implemented to ensure tenants’ successful transition in and out and are strongly influenced by the need to manage the waiting list and political pressure. The paper, which looks from the perspective of DBKL as a landlord, concludes with a preliminary recommendation on some ways DBKL can improve their tenancy management.

Public Housing (PH) in Malaysia is commonly called for improvement, as property management issues continue to arise. To address these issues, performance measurement plays an important role in monitoring the efficiency and effectiveness of the operation in PH. However, limited performance measurement studies in PH provide an overview of what property management operations are to be measured. Hence, this paper aims to examine the performance measurement practices adopted in public housing. From here, six overarching themes, particularly management in tenancy, maintenance, building, social, financial, and administrative are identified. These six main themes are further divided into nineteen subthemes. Further, an interview is conducted with PH zone managers from Kuala Lumpur City Hall (DBKL) to examine the current management operation and performance measurement practices in PH Malaysia. This paper provides insightful information on the trend, indicators, and operations in the performance measurement practices in PH.