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This paper aims to propose a model for democratization of Islamic home financing to tackle the issue of sustainability of homeownership affordability.

A conceptual framework and fractional equity model (FEM) are developed to incorporate big data analytics, artificial intelligence and blockchain technology in an ecosystem for affordability and sustainability of homeownership via the proposed financing model. In addition, the FEM adopts the simulation approach to show its validity in terms of liquidity when compared with traditional home financing. In this regard, this paper is focused on developing and demonstrating the feasibility of a new financing model, rather than testing specific hypotheses or relationships. This is to propose the democratization model for Islamic Home Financing that will not benefit the prospective home buyers without compromising the profitability of the financial institutions.

The findings indicate that the proposed end-to-end solution within the financing ecosystem can lead to more efficient matching market between the buyers and sellers of houses, reduced transaction costs, greater transparency and enhanced efficiency which in the end could lead to lower costs of owning homes and sustained financial resilience among house owners. The findings indicate that the FEM model is able to increase homeownership with more elements of liquidity, marketability and sustainability for homebuyers.

This research highlights the potential of big data and blockchain technology in democratizing Islamic home financing and evidence that the transfer of ownership is possible through tokenization. However, this will require a mature financing environment to adapt the technology for practical application.

The model proposes a solution to propagate shared prosperity among stakeholders such as the house buyers/owners, sellers, investors as well the government agencies. The proposed FEM model provides alternative home financing that is more marketable, flexible and sustainable for households/buyers and financiers.

It is hoped that with the proposed financing ecosystem to promote affordability and sustainability of homeownership via big data analytics, artificial intelligence and blockchain technology can lead to greater financial resilience for homeowners which can then be translated to enhanced well-being, increased productivity and can further promote economic growth.

This research is a concept paper based on academic research and industry collaboration with a technology provider.

Luxury consumption has evolved, and two important reasons behind the change include globalization and the COVID-19 crisis. These factors have led to the rise of new luxury consumption, which is different from traditional luxury consumption. This study examines how consumers’ identities shape their intentions to consume traditional luxury and new luxury brands.

The theoretical underpinnings of the schema congruity theory and heuristic systematic framework were applied to understand the role of identities in determining consumers’ regulatory focus, price luxuriousness inference and preference for traditional and new luxury brands.

Findings suggest that the global identity of consumers shapes their promotion focus and price luxuriousness inferences. However, their local identities induce a prevention goal. Consumers with such a goal are unlikely to make price luxuriousness inferences. Further, these inferences lead to the choice of traditional luxury over new luxury brands. The results also establish the moderating effects of consumer flexibility.

The extant literature is inconclusive on the role of globalization in luxury consumption and ignores new luxury brands. The current study shows the impact of identities and regulatory focus on traditional and new luxury consumption. The findings also indicate consumers’ regulatory focus and price luxuriousness inference as the reasons behind the influence. The paper also implies that consumers open to renting, sharing or buying second-hand goods will prefer new luxury over traditional luxury brands.

This study aims to evaluate sustainable investment policies for housing in Qatar.

This paper proposes a new model for analyzing sustainable investment policies for housing demand in Qatar via a hybrid quantum fuzzy decision-making model. The study processed the criteria with the facial expression-based Quantum Spherical fuzzy DEMATEL and ranked the alternatives with the facial expressions-based quantum spherical fuzzy TOPSIS. Four factors were determined due to a comprehensive literature review (Environment, Housing Design, Building Design, and Surrounding the building), with five sustainable investment policy alternatives (Electricity production with renewable energies, Recycling systems and materials in construction, Transport with less carbon emission, Biodiversity for residents, and Resilience to natural disasters).

The analysis indicates that the design of the building is the most important factor (0.254), while the environment is the most influencing factor (0.253) regarding housing demand in Qatar. Transport with less carbon emission and electricity production with renewable energies are the most critical alternative investment policies.

This study provides useful insights for regulators, policymakers, and stakeholders in Qatar’s sustainable investment policies for housing demand. The main motivation of this study is that there is a need for a novel model to evaluate the sustainable investment policies for housing demand. The main reason is that existing models in the literature are criticized due to some issues. In most of these models, emotions of the experts are not taken into consideration. However, this situation has a negative impact on the appropriateness of the findings. Because of this situation, in this proposed model, facial expressions of the experts are considered. With the help of this issue, uncertainties in the decision-making process can be handled more effectively.

As public–private partnerships (PPPs) have become preferred and veritable approach to deliver affordable housing, the seemingly lack of understanding of the significant factors that impact on success has become a notable setback. This study aims to delineate significant factors that can support decisions in affordable PPP public housing delivery.

Largely, a questionnaire survey was adopted to elicit insights from practitioners, policymakers and experts to develop an evaluative decision support model using an analytical hierarchy process and multi-attribute utility technique approach. Further, an expert illustration was conducted to evaluate and validate the results on the housing typologies.

The results revealed that energy efficiency and low-cost green building materials scored the highest weighting of all the criteria. Furthermore, multi-storey self-contained flats were found to be the most preferred housing typology and were significantly influenced by these factors. From the model evaluation, the scores on the factors of sustainability, affordability, cultural values and accountability were consistent across all typologies of housing whereas that of benchmarking, governance and transparency were varied.

The decision support factors captured varied dimensions of key factors that impact on affordable PPP housing that have not been considered in an integrated manner. These findings offer objective and systematic support to decision-making in affordable PPP housing delivery.

This paper aims to examine the impacts of unstable off-farm employment on the probability and stability of farmland rent-out and explore its mechanisms.

The paper adopts Ordinary Least Squares (OLS), Probit, Tobit, Order probit models with two-way fixed effects to conduct empirical analysis based on the balanced panel data collected in 2016 and 2023 with a national representativeness sample of 1,206 rural households in 100 villages across 5 provinces in China.

The empirical results showed that unstable off-farm employment had negative effects on the probability of farmland rent-out, but it had no effects on the stability of farmland rent-out. The mechanism analysis showed that unstable off-farm employment affected the probability of farmland rent-out by decreasing the probability of purchasing houses in city and endowment insurance with high pension. Heterogeneity analysis indicated that the negative effect of unstable off-farm employment was much larger for the households with higher share of labor engaging in off-farm employment outside home county, elder members in the households and those located in the villages of mountain areas.

This paper is the first to define the unstable off-farm employment from the perspective of incontiguous off-farm employment for several years, which could capture the normality rather than particular case in a certain year of off-farm employment among rural labors. Using these new measurements of unstable off-farmland, this paper examined the impacts and mechanisms of share of unstable off-farm employment on the probability and stability of farmland rent-out.

This paper aims to present the development of a holistic campus facility management (CFM) performance assessment framework that incorporates a fuzzy logic approach and integrates a comprehensive set of key factors for successful management of campus facilities. The devised framework aims to cater to the needs of campus facilities management firms and departments for the purpose of gauging and assessing their performance across different management domains. Through this approach, facility management organizations can detect potential areas of enhancement and adopt preemptive steps to evade issues, foster progress and ensure success.

After a comprehensive analysis of the literature, conducting in-depth interviews with industry experts and employing the Delphi technique in two rounds, a total of 45 indicators critical to CFM success were identified and subsequently sorted into seven distinct groups. Through an online questionnaire, 402 subject-matter experts proficiently assessed the significance of the critical success indicators and their groups. A fuzzy logic framework was developed to evaluate and quantify a firm's compliance with the critical success indicators and groups of indicators. The framework was subsequently weighted using computations of the relative importance index (RII) based on the responses received from the questionnaire participants. The initial section of the framework involved a comprehensive analysis of the firm's performance vis-à-vis the indicators, while the latter part sought to evaluate the impact of the indicators groups on the overall firm's performance.

The utilization of fuzzy logic has uncovered the significant effects each effective CFM key indicator on indicators groups, as well as the distinct effects of each CFM indicators group on the overall performance of CFM. The results reveal that financial management, communications management, sustainability and environment management and workforce management are the most impactful indicators groups on the CFM performance. This suggests that it is imperative for management to allocate increased attention to these specific areas.

This study contributes to the advancement of current knowledge by revealing vital indicators of effective CFM and utilizing them to construct a thorough fuzzy logic framework that can assist in evaluating the effectiveness of CFM firms worldwide. This has the potential to provide crucial assistance to facility management organizations, facility managers and policymakers in their quest for informed decision-making.

The purpose of this study is to examine the effects of market-based approach to provision of housing to low-income households in urban Malawi.

This study was conducted in Blantyre, Malawi, between 2019 and 2022 and used both quantitative (household survey) and qualitative (in-depth interviews and document study) methods of data collection. Interviews were conducted with key players and investors in the housing sector. Household survey data were analyzed through descriptive statistics, which allowed the generation of descriptive housing valuables, whereas qualitative data were analyzed through content analysis.

This paper demonstrates that, rather than ameliorating the housing problems facing low-income households, the market approach to provision of housing in Malawi has worsened the housing situation in the country. This is so because the market approach to the provision of housing in Malawi is not only enforcing the logic of capitalistic accumulation in the housing sector but also supporting mechanisms of exclusion based on economic stratification within the community.

Completeness of data over time as there is no market data bank available in the country.

The findings from this study suggest that some degree of state intervention in addressing the housing problem in Malawi is required.

The study findings suggest that a market approach to the provision of housing can increase social inequality as low-income households face challenges in accessing housing.

There is a paucity of research on the effects of the market approach on the provision of affordable housing to low-income households in Malawi. This paper assesses this important policy gap and provides significant policy directions.

This paper examines the understanding of various factors that influence consumer purchase intentions of renting products as a result of growth in the sharing economy. In addition, the study examines the notion of consumer minimalism, the mediating role of environmental consciousness and the moderating role of consumer scepticism to explain consumer rental consumption intention.

The research used a survey questionnaire to collect data from Indian consumers (N = 259). Data analysis involved using structural equation modelling with AMOS v25 and PROCESS macro. Structural equation modelling was employed to test the models involving mediation, moderation and moderated mediation.

The findings link consumer minimalism and the intention to rent products. This research contributed to the existing body of knowledge by incorporating the concepts of consumer minimalism and consumer scepticism into consumers' decisions regarding renting products. Furthermore, the results demonstrated that environmental consciousness enhances consumers' inclination to rent products, shedding light on the factors influencing this preference.

This research extends the existing literature on consumer purchase intentions for rented products by investigating how consumer minimalism, mediated by environmental consciousness and moderated by consumer scepticism, influences these intentions. The results offer valuable insights for both theoretical understanding and practical applications, guiding marketing developers and brands that cater to minimalist consumers interested in renting products. Additionally, it suggests future research avenues in this domain.

This study aims to investigate the impact of housing knowledge, housing challenges and housing policy on the renting intention and satisfaction of young people.

A questionnaire survey helped collect data from young people in the study area, which were then analysed using the Statistical Package for the Social Sciences (SPSS) 27 software. A descriptive analysis and the Cronbach’s alpha test were adopted to analyse the data. The confirmatory factor analysis confirmed a significant relationship between housing knowledge, housing challenges and housing policy and renting intention and satisfaction.

The overall findings revealed that most young people intend to own a home one day, and a minority of them decided to continue renting. The findings suggest that there is a significant relationship between housing knowledge and housing intention. However, housing challenges and housing policies do not appear to impact renting intentions. On the other hand, housing knowledge and housing challenges were found to be associated with housing satisfaction, while housing policy does not show a significant relationship.

This study, however, poses limitations as it uses a limited model and location and involves only a cross-sectional study. Future studies can use the methodology used in this study to conduct further investigations on housing intention and satisfaction in other regions of the country, thereby validating the findings of this study.

In terms of practical implications, this study has made a valuable contribution to the field of housing literature by shedding light on two crucial elements, namely, housing intention and satisfaction, which have been understudied. Understanding the determinants of housing intention and satisfaction is vital in efforts to implement appropriate policy reforms.

Findings from this study offer valuable insight related to managerial and practical implications, with the former implicating a need to prioritise initiatives that enhance renters’ housing knowledge. Implementing educational programmes and providing accessible resources can empower renters with a better understanding of the rental process and other important housing information.

This paper is relevant because it provides a guideline for policymakers to initiate regulations concerning housing and implement appropriate policy reforms. This study can also help housing providers develop more affordable housing that meets the needs of young people currently renting because most have expressed their housing intentions. Understanding housing intention and satisfaction determinants is vital to implementing appropriate policy reforms.

To identify the risks associated by consumers with renting clothes.

A descriptive research with a quantitative approach was carried out. First, the measurement models of the variables involved in the proposed model were validated. After verifying the existence of the variables, the resulting model was finally estimated through structural equation modelling.

The results obtained establish the six dimensions that make up the problems associated by consumers with the clothing rental business model. These problems encompass various types of risks: financial, physical, performance, psychosocial, inconsistency with values and lifestyle, as well as lack of trust in the service provider. The results obtained show that only inconsistency, financial risk and physical risk have a significant effect on attitude. These performance risks, together with the consumer's attitude towards renting, have a negative effect on the intention to rent.

Factors that have a negative effect on attitude have been studied less than the facilitators of attitude. This is the first study in Spain.

The results will help managers to understand the adoption behaviours of these models.

This study helps understand the social innovation needed to change consumers' relationship to clothing.