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The purpose of this study is to use a lifetime income measure to evaluate the long-run housing affordability for an understudied cohort of households in the literature – the millennials. The authors do this in the context of Malaysia, measuring long-run affordability for four housing types across geographic locations and income distributions.

This study calculates a long-run housing affordability index (HAI) using data on house prices and household incomes. Essentially a ratio of predicted lifetime incomes to house prices, the HAI is computed for four common housing types in Malaysia from 2005 to 2016 and for six states in the country. The HAI is also compared across four income percentiles.

The analysis reveals varying patterns of housing affordability among different states in Malaysia. Housing affordability has declined since 2010, with most housing types being unaffordable for millennial-led households with the lowest income. Housing is most affordable for those in the highest income bracket, although even here, there are pockets of unaffordable housing as well.

Based on the findings, this study proposes three targeted interventions to improve housing affordability for Malaysian millennials.

This study fills a gap in the literature by examining the long-run housing affordability of Malaysian millennial-led households based on both geographic location and income distribution. The millennial population is understudied in the housing affordability literature, making this study a valuable contribution to the field.

This study aims to uncover the mechanisms behind the marginalization of county-level public libraries.

The research surveyed 25 counties in central China, including Hubei, Chongqing, Hunan, and Guizhou provinces. Semi-structured interviews were conducted with library directors and deputy directors, focusing on main and branch library construction, cultural inclusivity, library assessment, and digital services.

Contributing factors to library marginalization were identified as economic pressure, institutional domain, longstanding issues, organizational entity, and societal misconceptions. Building on this, the study introduces the HBAC model to explain county-level public library marginalization. Considering the actual social context of these libraries, the article proposes a “3 + 1” approach to mitigate their marginalization.

The research methodology, analysis process, theoretical model, and recommendations provided could shed light on academic research and practical exploration in the field of public libraries globally.

This study aims to analyze the relationship between the alcohol brewing industry and the macroeconomic variables of the emerging market of Asia.

The study uses secondary data for the period of 32 years and applies the autoregressive distributed lag-error correction method (ARDL-ECM) approach to understand short- and long-run dynamics in the alcohol industry by considering macroeconomic variables.

The findings of the study confirm the existence of a long-run relationship between the alcohol brewing industry and the macroeconomic variables considered for this study.

The authors present a few limitations of this study. First, this study uses secondary data originating from one of the emerging markets of Asia. Second, the study is solely conducted from an economic perspective rather than from a social or health perspective. Finally, the study considers the data originating from the organized sector of the alcohol industry of India.

The study will be helpful to the researchers in guiding the future course of research in the area of the alcohol industry. This study can be helpful to the policymakers in framing the National Alcohol and taxation Policy. This study also helps both the producers and exporters to strategize sustainable production and trade of alcoholic beverages.

To the best of the authors’ knowledge, this study is the first of its kind to analyze the alcohol industry from the macroeconomic perspective through the ARDL-ECM approach.

This paper aims to systematically review the application of artificial intelligence (AI) in the tourism industry. By integrating human–computer interaction, machine learning, big data and other relevant technologies, the study establishes a comprehensive research framework that explores the systematic connections between AI and various facets of tourism.

This paper conducts a keyword co-occurrence analysis of 4,048 articles related to AI in tourism. The analysis identifies and classifies dominant topics, which are further refined through thematic literature review and manual coding for detailed discussion.

The analysis reveals five main topics: AI’s impact on tourist experience, AI in tourism marketing and prediction, AI in destination management, AI’s role in tourism enterprises and AI integration in strategic and regulatory framework. Each topic is reviewed to construct an integrated discussion that maps the current landscape and suggests directions for future research.

This paper transcends the fragmented discourse commonly found in the literature by establishing a unified framework that not only enhances understanding of the existing methodologies, theories and applications of AI in tourism but also identifies critical areas for breakthroughs, aiming to inspire a more humane and sustainable integration of AI in the tourism industry.

本文旨在系统回顾人工智能（AI）在旅游业中的应用。通过整合人机交互、机器学习、大数据和其他相关技术, 本研究建立了一个全面的研究框架, 探索人工智能与旅游业各方面之间的系统联系。

本文对4048篇与旅游业人工智能相关的文章进行了关键词共现分析。分析确定了主要议题并对其进行了分类, 然后通过主题文献梳理和手动编码对其进行了进一步完善, 以便进行详细讨论。

分析揭示了五个主要主题：人工智能与旅游体验、人工智能与旅游营销和预测、人工智能与目的地管理、人工智能与旅游企业, 以及人工智能在战略和监管框架中的整合。每个主题都进行了回顾, 以构建一个综合讨论, 勾勒出当前的研究格局, 并提出了未来的研究方向。

研究力图突破目前关于旅游与人工智能的碎片化讨论, 建立了一个统一的框架, 旨在加强对旅游业中人工智能现有方法、理论和应用的理解, 还点明了需要突破的关键领域, 以助力旅游业与人工智能共同创造更加人性化和可持续发展的前景。

Este artículo pretende revisar sistemáticamente la aplicación de la inteligencia artificial (IA) en el sector turístico. Mediante la integración de la interacción humano-ordenador, el aprendizaje automático, big data y otras tecnologías relevantes, el estudio establece un marco de investigación exhaustivo que explora las conexiones sistemáticas entre la IA y diversas facetas del turismo.

Este trabajo realiza un análisis de co-ocurrencia de palabras clave de 4.048 artículos relacionados con la IA en el turismo. El análisis identifica y clasifica los temas dominantes, sobre los que se profundiza mediante una revisión temática de la literatura y una codificación manual para su discusión detallada.

El análisis presenta cinco temas principales: El impacto de la IA en la experiencia turística, la IA en el marketing y la predicción turística, la IA en la gestión de destinos, el papel de la IA en las empresas turísticas y la integración de la IA en el marco estratégico y normativo. Cada tema se revisa para construir un debate integrado que trace el panorama actual y sugiera direcciones para futuras investigaciones.

Este artículo expande el análisis fragmentado que suele encontrarse en la bibliografía al establecer un marco unificado que no sólo mejora la comprensión de las metodologías, teorías y aplicaciones existentes de la IA en el turismo, sino que también identifica las áreas críticas para los avances, con el objetivo de inspirar una integración más humana y sostenible de la IA en la industria turística.

This study aims to explore the perceptions of quality of life among older Thai adults with hypertension.

A descriptive qualitative design was used. Semistructured interviews were conducted with 40 older adults. Thematic analysis was used to analyze the data.

The analyses were divided into six major themes: happiness in life; health and functionality; activity in social relationships; religion anchor; autonomy to manage their own life; and security in finances and environment.

The findings can guide health care professionals and policymakers when planning and implementing interventions and policies for improving the quality of life of older adults, particularly that of rural older adults with low incomes.

The findings showed minor differences between urban and rural older adults in financial security, where the rural participants expressed greater financial insecurity than the urban counterparts. However, no other major differences emerged.

This study aims to investigate the associations between emotional regulation strategies, self-compassion and adaptive functioning in families of children with neurodevelopmental disorders (NDD) in comparison to families with typically developing (TD) children.

This cross-sectional study used a comprehensive set of validated measures to assess emotional regulation strategies, self-compassion and adaptive functioning. The study cohort consisted of 116 parents; 58 parents of children with NDD and 58 parents of TD children. The mean age of the children was 6.40 years (SD = 1.82).

The findings indicate that higher self-compassion is associated with improved adaptive functioning, evidenced by reduced levels of internalizing (depression, anxiety, withdrawal, somatic complaints) and externalizing (aggressive behaviors) problems. Parents of children with NDD reported greater levels of depression, anxiety and withdrawal compared to parents of TD children. Parents of TD children used cognitive reappraisal more frequently and exhibited higher levels of self-compassion, whereas the use of expressive suppression was more prevalent among parents of children with NDD.

These findings highlight the need for family-centered and tailored interventions that promote self-compassion and adaptive emotional regulation strategies to reduce internalizing and externalizing problems among parents of children with NDD. By providing comprehensive psychological support and accessible community resources, parental ability to cope with stress may be improved, fostering adaptive functioning that benefits both parents and children with NDD.

This study introduces a novel perspective on the importance of self-compassion and emotional regulation strategies in protecting and improving the mental well-being of parents with neurodevelopmental disorder children. It provides valuable insights for targeted interventions in NDD families, focusing on reducing the risk of mental health deterioration while promoting emotional resilience.

The purpose of this paper is to report on bibliometric research on the activities and services offered by distance libraries that serve distance learning institutions.

The analysis of scholarly communication has always been a valuable tool for researchers and policymakers in order to understand trends, gaps and patterns in a specific field. In this paper, a bibliometric analysis has been applied based on a well-known bibliometric tool called “VOSviewer.” The articles that constitute the dataset of current research were drawn from two journals: the Journal of Library Administration and the Journal of Library and Information Services in Distance Learning.

The bibliometric analysis applied in distance libraries showed that the researchers in this domain are mainly introverts and need to prioritize engaging in the scientific research process over merely publishing good practices. Although there are a lot of libraries serving distance learning institutions (formal and non-formal), there is a notable lack of activity in the scientific publication field.

Distance libraries have played a significant role in supporting distance learning, and since distance education has become more important in the educational ecosystem, the analysis of its scholarly production would provide administrators, researchers and policymakers with insights for the next era of conventional libraries.

This paper presents a pioneering investigation into the barriers impeding the adoption of reverse logistics (RL) in the Iranian construction industry, addressing a significant gap in the current literature within the country.

Through a meticulous examination of the literature, complemented by 19 in-depth interviews, a battery of barriers to RL implementation was initially identified, distilled into a final set of 30 barriers, which served as the basis for the design of a structured survey questionnaire. Employing Partial Least Squares–Structural Equation Modeling (PLS-SEM), an analysis was conducted on a dataset that comprised of 80 responses. Subsequently, the barriers approved through the PLS- SEM were subjected to prioritization through the application of Fuzzy TOPSIS.

Findings reveal the critical inadequacy of contemporary technology and infrastructure, a foundation essential for the efficacious enactment of RL. This shortfall manifests in procurement and logistics processes plagued by inefficiency and ineffectiveness, as consequences of an immature information and technology ecosystem. Furthermore, the study underscores the dominance of traditional markets where the adoption of secondary materials/products remains sporadic, signaling a crucial area for further research and intervention.

This study offers original insights into the significant hurdles that hinder the adoption and integration of RL practices within the Iranian construction industry, an under-explored area within the RL research domain. For industry practitioners, findings point to recommendations for overcoming these barriers in the specific Iranian context while also offering broader insights and lessons that may be relevant to other countries and similar contexts.

The purpose of this study is to provide a systematic review of research development on auditing in the European Union over the past decade and suggest future research directions.

Following the PRISMA protocol, the authors systematically reviewed the relevant literature and conducted a qualitative content analysis of 107 studies on auditing in the European Union published between 2012 and 2023.

The results indicate increased auditing literature in the European Union from 2012 to August 2023. Around 40% of the papers were focused on six nations: Germany, Spain, Italy, the UK, Sweden and France. Additionally, 35.5% of papers have been published in three major journals: Accounting in Europe, International Journal of Auditing and the European Accounting Review. Moreover, 82.24% of papers used quantitative methods, with a few using qualitative or mixed methods. Also, most of the studies in the sample endorsed the European Union’s auditing reforms, which included implementing a cap on nonaudit fees and enhancing the independence of audit committees. Contrary to this viewpoint, multiple studies have expressed disagreement with enforcing a total prohibition on nonaudit services, as certain services can enhance auditing quality. Similarly, other studies have contested the necessity of mandatory auditor rotation every 10 years, citing the significant additional expenses associated with this practice. Finally, further studies supported the European Union’s decision to make the joint audit voluntary, as it is related to high audit fees and low audit quality.

The limitations of this research primarily stem from the authors’ choices in selecting the database and defining the criteria for searching the studied papers.

This paper offers valuable insights into the future research prospects in the European Union’s auditing field. Hence, this analysis can be helpful for researchers and practitioners in developing this field based on future research recommendations and the identified themes.

To the best of the authors’ knowledge, this paper is the first study to systematically review the developments of the European Union auditing literature over the past decade.

The social sciences have extensively studied meals; nonetheless, a few have investigated the menu format, with all the data originating from European countries. Within this framework, the novelty of this research is that it analyses the relationship between social class and lunch structure among adults in a Global South city: Santiago, Chile.

The study worked with data from the Survey of Commensality in Adults (>18) of the Metropolitan Region, which used a questionnaire and a self-administered eating event diary. The analysis unit was lunches (n = 3,595). The dependent variable was the structure of the lunches (single course, starter with a main course, a main course with dessert or a full-course menu with starter, main course and dessert). The independent variable was the individual’s social class (either the working, intermediate or service class).

The data showed that lunches are mostly semi- or fully structured (only 44.5% of the lunches reported by the participants contained a single course). The odds of eating a single course were lower in the service class than the working one and the odds of eating a full-course meal were higher in the service class than the working one.

The results provide new quantitative evidence from a representative sample of a Global South city about the relevance of social class as a differentiating factor in food, specifically regarding the existence of simpler meals among the lower classes.