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This study investigates the housing preferences of older adults in Nigeria’s evolving real estate market, emphasizing the growing social sustainability gap driven by population aging, housing delivery challenges, property management services and cultural considerations. This study aims to inform strategies that enhance health, well-being and social sustainability for this demographic, integrating property management and cultural factors into housing solutions.

A cross-sectional survey was conducted with 120 Nigerian adults aged 65 and above. Data were collected with structured questionnaire and interviews and analyzed using nonparametric Mann–Whitney U tests.

Findings show strong preferences for health and safety features such as bathroom safety modifications, disability-friendly designs, accessible transportation and proximity to amenities. Property management services, such as responsiveness and senior-focused decision-making, and cultural preferences like multigenerational living, were also significant in shaping housing choices by gender and age.

The taxonomic breakdown of housing preferences offers valuable guidance for urban planners, housing providers and policymakers in designing age-appropriate, culturally relevant and service-integrated housing solutions that promote social sustainability and improve quality of life for older adults.

This study offers new insights into the intersection of housing, aging, property management and culture in emerging markets, providing strategies to address socioeconomic challenges.

Although artificial intelligence (AI) is an essential component of hospitality in the technological empowerment era, AI’s effectiveness as an attraction in this context remains unclear. Grounded in Herzberg’s motivation theory and complexity theory, this study aims to explore configurational paths whereby combinations of qualities lead to success for different types of AI-themed hotels.

This study innovatively blends topic modeling and fuzzy-set qualitative comparative analysis (fsQCA) to investigate configurational paths whereby combined qualities produce positive guest evaluations of 12 AI-themed hotels as evidenced by 7,431 customer reviews.

The results indicate that AI could serve as a “theme” to attract customers under certain circumstances. First, “attractive” and “must-be” qualities are first identified for different types of AI-themed hotels. Furthermore, 6, 15 and 15 configurational paths inspiring favorable guest evaluations of luxury-independent, budget-independent and chain AI-themed hotels, respectively. Technology-related qualities are found to be especially attractive for luxury-independent AI-themed hotels, whereas the role of technology is minimal for budget AI-themed hotels. The impact of technology is salient for chain AI-themed hotels when combined with other factors. In addition, the effect of price differs among the configurational paths for the three hotel types.

This study expands the understanding of AI applications within the hospitality context by exploring the role of AI in AI-themed hotels and comparing its effectiveness in attracting customers across various hotel types. It also provides operational strategies for adopting AI for different types of hotels and for other hospitality and tourism sectors.

This study represents an early attempt to integrate topic modeling and fsQCA to clarify customers’ perceptions of AI-themed hotels and the combined impacts of various qualities. The findings expand on Kano’s model by classifying technology-related qualities into attractive qualities within AI-themed hotels.

The climate change crisis is putting pressure on high-polluting companies to reduce greenhouse gas (GHG) emissions, which often requires significant investments. This study aims to propose a framework for companies to reduce their GHG emissions while enhancing their financial performance.

A case study approach examines four South Korean listed companies in high GHG-emission sectors, identifying their GHG reduction activities. Based on the findings, a new framework has been developed and applied to two other companies to test its practicability and effectiveness.

Enhanced corporate governance can align with sustainable goals of mitigating GHG emissions. Direct emissions (Scope 1) can be reduced by improving manufacturing processes, while indirect emissions (Scope 2) can be lowered with increased use of renewable energy. Cost reductions can be achieved through production optimization and using byproducts as inputs for other industries. Revenue growth can be achieved by promoting energy-efficient products, engaging customers in environmental initiatives and recycling materials.

This study introduces a comprehensive and practical framework for companies, particularly those in high-polluting sectors, to develop effective strategies that address climate change while improving financial outcomes. The framework presents a win-win approach for reducing GHG emissions and enhancing financial performance.

Sustainable buildings are designed to minimise the adverse impacts of buildings on users, occupants, communities and the environment while enhancing client investment, contractors’ productivity and profit margins. However, sustainable buildings often experience significant rework. This research aims to evaluate the complex interrelationships among the causes of rework in sustainable buildings using structural equation modeling (SEM) techniques. By testing the theory and validating a framework addressing the causes of rework in sustainable buildings, the construction sector can make a meaningful contribution towards a sustainable future.

The study developed a questionnaire comprising 24 identified causes of rework in sustainable buildings, derived from an extensive literature review and field observations. The causes were evaluated using a 4-point Likert scale, ranging from less occurrence to very high occurrence. The survey was administered to construction professionals via online platforms and direct hand delivery.

The identified causes of rework were grouped into four components through exploratory factor analysis (EFA) and subsequently validated using SEM. These components are competency, information, framework and plan. While the measurement model demonstrated robustness, the structural model indicated the need for further refinement. The study provides actionable strategies to mitigate rework, supporting the advancement of sustainable practices within the construction sector.

The findings of this research carry substantial theoretical and practical significance for advancing knowledge and practices in the sustainable buildings market. Theoretically, the study enriches the understanding of rework causes and their interrelationships, providing a foundation for future research. Practically, the results serve as a vital resource for stakeholders in the construction sector and offer actionable insights to enhance decision-making, improve project outcomes and foster sustainable building practices.

The stormwater industry grapples with numerous environmental challenges resulting from producing and using storm materials. Green building materials (GBMs) offer a more ecologically friendly alternative to conventional construction materials. However, establishing criteria for selecting GBMs and assessing their sustainability has proven to be a complex endeavor. Therefore, this paper aims to assess the suitability of GBMs in stormwater management projects.

This study investigates and identifies the green storm drainage materials criteria based on previous literature and an extensive survey involving 140 stakeholders from the Egyptian industry, including facilities managers, asset managers, engineers and policymakers. A comprehensive model employing partial least squares structural equation modeling and artificial neural network is developed to assess the suitability of GBMs in stormwater management projects.

The study’s findings emphasize the pivotal role of social factors in the practical implementation of green material selection criteria. Understanding the intricate interplay among economic, environmental and social dimensions becomes crucial as stakeholders in the stormwater industry navigate the transition toward sustainable storm materials.

This research highlights the importance of integrating social factors into decision-making, contributing to more holistic and effective strategies for sustainable stormwater management. The study’s originality lies in its innovative approach to assessing the suitability of GBMs in stormwater management projects and its novel insights into the complex dynamics of sustainable materials selection, addressing a significant research gap in the field.

Mobile edge computing (MEC) services have long been used by private enterprises in Saudi Arabia with considerable success; however, there has been a stark lack of insight into how these services can be used to improve mobile government (M-Government) services for KSA citizens. This study aims to bridge this gap by integrating MEC with an enhanced version of the technology acceptance model (TAM) and examining its effects on user behavior and acceptance.

A closed-ended survey was administered to 1,500 people, and the responses were analyzed using sophisticated advanced statistical techniques to test an expanded TAM, using a quantitative method that uses structural equation modeling to validate the proposed model and hypotheses.

This study reveals that MEC significantly influences users’ intentions about using M-Government services and their tolerance for new technology adoption. Specifically, service cost and social influence are positively linked with end users’ intention to adopt M-Government services.

The novelty and contribution of this paper to existing literature are in highlighting the pivotal role of MEC in transforming public sector service delivery through technology. This study not only supports the adoption of M-Government services to enhance social welfare but also demonstrates and concludes some practical and theoretical ramifications of MEC service adoption.

Given the growing significance of contemporary socio-economic and infrastructural conversations of Public-Private Partnerships (PPP), this research seeks to provide a general overview of the academic landscape concerning PPP.

To offer a nuanced perspective, the study adopts the Latent Dirichlet Allocation (LDA) methodology to meticulously analyse 3,057 journal articles, mapping out the thematic contours within the PPP domain.

The analysis highlights PPP's pivotal role in harmonising public policy goals with private sector agility, notably in areas like disaster-ready sustainable infrastructure and addressing rapid urbanisation challenges. The emphasis within the literature on financial, risk, and performance aspects accentuates the complexities inherent in financing PPP and the critical need for practical evaluation tools. An emerging focus on healthcare within PPP indicates potential for more insightful research, especially amid ongoing global health crises.

This study pioneers the application of LDA for an all-encompassing examination of PPP-related academic works, presenting unique theoretical and practical insights into the diverse facets of PPP.

This work analyses the operability of human rights in the access to housing cooperatives, which adopt a cohousing approach, as well in the treatment of current residents and those who leave or are forced to leave. The purpose of this paper is to detect problems and propose measures to strengthen human rights in this model.

This work uses the case method and its multidisciplinary analysis, covering the areas of philosophy of law and civil law, through various methodologies, with legal dogmatics and comparative law being among the most noteworthy.

The legal framework that gives cooperatives extensive powers for self-regulation and the specific dynamics of the cohousing model, especially those related to the high level of social interaction and collective life, carries the potential risk of violating human rights. The case of Spain is a clear example of this problem which, being a structural issue, may be replicated in other countries.

Despite the growing presence of housing cooperatives with a cohousing approach, there are few studies that analyse the problems these can cause in practice, including the legal insecurity of their tenure and the potential risk of human rights violations. This paper aims to propose measures for the prevention and rectification of situations that breach human rights, as well as to offer some guidelines for the building of a legal framework providing minimum protection to residents in housing cooperatives.

To the best of the author’s knowledge, no other scientific study has been found that analyses the operability of human rights in the framework of housing cooperatives with a cohousing approach. Therefore, no study contains proposals for measures to protect those rights.

This paper aims to identify and analyze the challenges for the Varanasi handloom industry after the COVID pandemic by considering their impact on different sections of the weavers and subsequently suggest the best possible solution for the same.

A combined approach of expert opinion and in-depth literature reviews are used to identify the challenges, and a multicriteria decision-making tool is used to rank the challenges for the type of weaver.

This research provides an elaborated view of the problems faced by the handloom industry after the COVID pandemic and suggests that the success of the handloom business is subjected to the eradication of a wide number of challenges according to the type of weaver.

The findings of this research will help the policymakers to make and align their policies and strategies for the upliftment of the Varanasi handloom industry efficiently and effectively.

To the best of the authors’ knowledge, this is the first kind of study that focuses on identifying and prioritizing the barriers affecting the success of the Varanasi handloom industry after the COVID pandemic. Furthermore, the uniqueness of this research lies in its ability to study all three independent sections of the handloom industry, having different capabilities and limitations.

This study aims to investigate the impact of political influence on the connection between internal governance mechanisms and the sustainability of social enterprises in Malaysia.

A total of 85 social companies from Malaysia were included in the survey. The hypotheses were examined using the bootstrapping approach and structural equation modeling using the partial least squares method.

The results of this study indicate that both internal governance structures and political influence significantly impacted the long-term sustainability of social enterprises. The study’s findings indicate that political influence substantially impacts how internal governance mechanisms affect the sustainability of social enterprises. Nevertheless, it is critical to acknowledge that the correlation between internal governance procedures and sustainability is deemed weak.

This study aims to address and strengthen the boundaries of social entrepreneurship literature by using the resource-based view (RBV) and the resource dependence theory (RDT) theories. RBV and RDT align with the theoretical concept of social entrepreneurship and demonstrate the interplay between agility and a taxonomy of elements that promote sustainability adoption.

This study investigates the correlation between political influence, internal governance mechanisms and sustainability to enhance comprehension of the dynamic corporate landscape. The objective is to ensure that the internal governance mechanism of social enterprises is in line with long-term sustainability objectives, even in the context of potential political changes.

This study offers valuable knowledge for policymakers aiming to enhance the governance and accountability of social enterprises. The success of such businesses hinges on their capacity to regulate both financial sustainability and their social objective proficiently. Social enterprises can achieve a mutually beneficial model by effectively balancing these two objectives, benefiting their business and the communities they intend to serve.

To the best of the authors’ knowledge, no previous research has been conducted to examine how political influence affects the relationship between internal governance mechanisms and the sustainability of social enterprises in Malaysia. The results of this study could enhance social enterprises’ ability to achieve long-term sustainability.