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The purpose of this paper is to develop an index for measuring urban house price affordability that integrates spatial considerations and to explore the drivers of housing affordability using the post-least absolute shrinkage and selection operator (LASSO) approach and the ordinary least squares method of regression analysis.

The study is based on time-series data collected from 2005 to 2021 for 256 prefectural-level city districts in China. The new urban spatial house-to-price ratio introduced in this study adds the consideration of commuting costs due to spatial endowment compared to the traditional house-to-price ratio. And compared with the use of ordinary economic modelling methods, this study adopts the post-LASSO variable selection approach combined with the k-fold cross-test model to identify the most important drivers of housing affordability, thus better solving the problems of multicollinearity and overfitting.

Urban macroeconomics environment and government regulations have varying degrees of influence on housing affordability in cities. Among them, gross domestic product is the most important influence.

The paper provides important implications for policymakers, real estate professionals and researchers. For example, policymakers will be able to design policies that target the most influential factors of housing affordability in their region.

This study introduces a new urban spatial house price-to-income ratio, and it examines how macroeconomic indicators, government regulation, real estate market supply and urban infrastructure level have a significant impact on housing affordability. The problem of having too many variables in the decision-making process is minimized through the post-LASSO methodology, which varies the parameters of the model to allow for the ranking of the importance of the variables. As a result, this approach allows policymakers and stakeholders in the real estate market more flexibility in determining policy interventions. In addition, through the k-fold cross-validation methodology, the study ensures a high degree of accuracy and credibility when using drivers to predict housing affordability.

This paper aims to understand tourist behavior in Indian rural tourism by integrating the stimuli-organism-response (SOR) framework, service quality model (SERVQUAL) model and theory of planned behavior. It investigates the role of positive tourist-host interactions, destination image, trust and attitude in shaping pro-tourism intentions. Additionally, it explores the moderating effect of Indian traditionality on these relationships.

This study uses a mixed-methods approach, combining qualitative data from 15 respondents with quantitative analysis involving 580 tourists engaged in Indian rural tourism. Confirmatory factor analysis and structural equation modeling are used to examine relationships among tourist-host interactions, destination image, trust, attitude and pro-tourism intentions.

The study reveals that positive interactions and a positive destination image play crucial roles in building trust and shaping favorable attitudes toward rural tourism. Trust and attitude, in turn, significantly drive pro-tourism intentions. Furthermore, tourist attitude partially mediates the relationship between trust and intentions. The study introduces the novel concept of Indian traditionality as a moderator, highlighting its impact on trust, attitude and pro-tourism intentions.

Limitations include the focus on Indian rural tourism, which may limit generalizability, and potential response bias due to self-reported data. Future research could explore other cultural contexts and use diverse data collection methods.

This research offers practical insights for policymakers and stakeholders, emphasizing the importance of fostering positive tourist–host interactions and cultivating a positive destination image to enhance the overall tourist experience and promote sustainable rural tourism practices.

This study’s innovation lies in harmonizing theoretical frameworks to shed light on Indian rural tourism’s multifaceted aspects. It introduces Indian traditionality as a cultural moderator, enriching understanding of tourist behavior. The research contributes to academia and industry by guiding the development of sustainable tourism practices and improving the tourist experience.

本研究旨在通过整合 SOR 框架、SERVQUAL 模型和计划行为理论来理解印度乡村旅游中的游客行为。研究探讨了游客与东道主的积极互动、目的地形象、信任和态度在形成亲旅游意愿中的作用。此外, 本文还探讨了印度传统对这些关系的调节作用。

本研究采用混合方法, 将 15 名受访者的定性数据与 580 名参与印度乡村旅游的游客的定量分析相结合。研究采用了确证因子分析（CFA）和结构方程模型（SEM）来考察游客-接待方互动、目的地形象、信任、态度和亲旅游意愿之间的关系。

研究表明, 积极的互动和正面的目的地形象在建立信任和形成对乡村旅游的良好态度方面发挥着至关重要的作用。信任和态度反过来又会极大地推动亲旅游意愿。此外, 游客态度在一定程度上调节了信任与意愿之间的关系。研究引入了印度传统这一新颖的概念作为调节因素, 强调其对信任、态度和亲旅游意愿的影响。

研究的局限性包括：研究重点是印度乡村旅游, 这可能会限制研究的普遍性, 以及由于自我报告数据而可能产生的反应偏差。未来的研究可以探索其他文化背景, 并采用不同的数据收集方法。

这项研究为政策制定者和利益相关者提供了实用的见解, 强调了促进游客与东道主之间的积极互动以及培养积极的目的地形象对于提升整体游客体验和促进可持续乡村旅游实践的重要性。

本研究的创新之处在于协调理论框架, 揭示印度乡村旅游的多面性。它引入了印度传统作为文化调节因素, 丰富了我们对游客行为的理解。该研究通过指导可持续旅游实践的发展和改善游客体验, 为学术界和产业界做出了贡献。

Esta investigación pretende comprender el comportamiento del turista en el turismo rural de la India mediante la integración del marco SOR, el modelo SERVQUAL y la Teoría del Comportamiento Planificado. Investiga el papel de las interacciones positivas entre el turista y el anfitrión, la imagen del destino, la confianza y la actitud en la formación de las intenciones proturismo. Además, explora el efecto moderador de la tradicionalidad india en estas relaciones.

Este estudio emplea un enfoque metodológico mixto, combinando datos cualitativos de 15 encuestados con un análisis cuantitativo en el que participan 580 turistas en el ámbito del turismo rural en India. Se utilizan el análisis factorial confirmatorio (AFC) y el modelo de ecuaciones estructurales (SEM) para examinar las relaciones entre las interacciones turista-anfitrión, la imagen del destino, la confianza, la actitud y las intenciones a favor del turismo.

El estudio revela que las interacciones positivas y una imagen favorable del destino desempeñan un papel crucial en la creación de confianza y en la formación de actitudes positivas hacia el turismo rural. La confianza y la actitud, a su vez, impulsan significativamente las intenciones proturismo. Además, la actitud del turista es un mediador parcial en la relación entre confianza e intenciones. El estudio introduce el novedoso concepto de tradicionalidad India como moderador, destacando su impacto en la confianza, la actitud y las intenciones proturismo.

Las limitaciones incluyen el hecho de centrarse en el turismo rural en India, lo que puede limitar que sea generalizado, y el posible sesgo de respuesta debido a los datos auto declarados. Futuras investigaciones podrían explorar otros contextos culturales y emplear diversos métodos de recogida de datos.

Esta investigación ofrece ideas prácticas para los responsables políticos y las partes interesadas, haciendo hincapié en la importancia de fomentar las interacciones positivas entre el turista y el anfitrión y cultivar una imagen positiva del destino para mejorar la experiencia turística en general y promover prácticas sostenibles de turismo rural.

La innovación de este estudio radica en la armonización de los marcos teóricos para arrojar luz sobre los aspectos polifacéticos del turismo rural en India. Introduce la tradicionalidad India como moderador cultural, enriqueciendo nuestra comprensión del comportamiento turístico. La investigación contribuye al mundo académico y a la industria orientando el desarrollo de prácticas turísticas sostenibles y mejorando la experiencia del turista.

Building upon Social Exchange Theory, this study explores the relationship between perceived opportunities for competency development (POCD), subjective career success (SCS), and organizational citizenship behaviors (OCBs). Given the importance of SCS in providing mutual benefits for both the employee and the organization, this study examines how SCS plays a mediating role in the relationship between POCD and OCBs.

Data was collected from 353 full-time working professionals in Malaysian organizations through a two-wave hardcopy questionnaire survey. The data was then analyzed using structural equation modeling and the bootstrapping method.

The study found no significant direct relationship between POCD and OCBs. However, the bootstrapping analysis uncovered that SCS mediated this relationship, indicating a significant full mediation effect.

To increase the external validity of findings, future studies should include samples from various industries in both the public and private sectors.

In contrast to the findings from previous studies, this study adds value to the career literature by demonstrating that without a sense of SCS, even with competency development opportunities, employees are less likely to engage in OCBs. It highlights the importance of SCS in fostering mutual benefits for both the employee and the organization.

This paper aims to investigate fit problems with some ready-to-wear garments, analyse the body measurements of Ethiopian young female consumers and draw implications for the improvement of ready-to-wear garment fit.

A random sample of 970 university students aged 18–35 years were interviewed, and their 35 body dimensions were measured manually according to the procedures in ISO 8559: 2017. The fit problems and body measurements were examined with the body mass index (BMI) and ethnicity of the subjects. Moreover, 15 body dimensions were compared with that of Chinese and US females of similar age.

The results showed that fit problems are frequent in lower garments for underweight consumers. Nearly consistent and smaller differences in body measurements were observed with BMIs and ethnicity of the subjects, while inconsistent and larger differences were found among the subjects from the three countries. The Ethiopian subjects were smaller than the Chinese in height and weight, between the Chinese and US females in most body measurements, and larger than the US subjects in across shoulder and arm and shoulder lengths. The results alarm the need for the development of Ethiopian national garment size standards.

The paper relates ready-to-wear garment fit issues to demographic factors and demographic factors to body measurements. Moreover, it considers young female consumers in Ethiopia, an African country with less explored consumer needs for clothing.

This study aims to measure the degree of volatility comovement between stock market liquidity and informational efficiency across Asia, Europe, North-South America, Africa, and the Pacific Ocean over three decades. In particular, the authors analyze the extent of the time-varying nexus between different aspects of stock market liquidity and multifractal scaling properties of the stock return series across various regions and diversified market conditions. This study further investigates several factors altering the degree of dynamic conditional correlations (DCCs) between the efficiency and liquidity of the domestic stock markets.

The study measures five aspects of stock market liquidity – tightness, depth, breadth, immediacy, and adjusted immediacy. The authors evaluate the multifractal scaling properties of the stock return series to measure the level of stock market efficiency across the regions and diversified market conditions. The study uses the dynamic conditional correlation-multivariate generalized autoregressive conditional heteroscedasticity framework to quantify the degree of volatility comovement between liquidity and efficiency over the period.

The study finds the presence of stronger volatility comovement between inefficiency and illiquidity due to the price impact characteristics of the stock markets irrespective of different regions and diversified market conditions. The extent of time-variation increased following the shock periods, indicating the significant role of the financial crisis in increasing the volatility comovement between inefficiency and illiquidity. The highest degree of time-varying correlation is observed in the developed stock markets of Northwestern and Northern Europe compared to the regional and emerging counterparts. On the other hand, weak DCCs are observed in the emerging stock markets of Europe.

The output of the present study assists investors in identifying diversification opportunities across the regions. Additionally, the study has significant implications for market regulators, aiding in predicting future troughs and peaks. The prediction, in turn, helps formulate capital market development plans during dynamic economic situations.

This paper seeks to address the following two research questions. RQ1: What are the influential user archetypes in the social question-answering (SQA) community? RQ2: To what extent does user feedback affect influential users in changing from one archetype to another?

Based on a sample of 13,840 influential users drawn from the Covid-19 community on Zhihu, the archetypes of influential users were derived from their ongoing participation behavior in the community using the Gaussian mixture model. Additionally, user feedback characteristics such as relevance and volume from 222,965 commenters who contributed 546,344 comments were analyzed using the multinomial logistic regression model to investigate the archetype change of influential users.

Findings suggest that influential users could be clustered into three distinctive archetypes: touch-and-go influential users, proactive influential users and super influential users. Moreover, feedback variables have various impacts on the influential user archetype change, including a shift toward creating higher-quality content and fostering increased interaction, a shift toward generating lower-quality content and decreased interaction but improved speed and having mixed effects due to differences in information processing among these archetypes.

This study expands the existing knowledge of influential users and proposes practical approaches to cultivate them further.

The purpose of this paper was to prepare a ternary hierarchical rough particle to accelerate the anti-corrosive design for coastal concrete infrastructures.

A kind of micro-nano hydrophobic ternary microparticles was fabricated from SiO₂/halloysite nanotubes (HNTs) and recycled concrete powders (RCPs), which was then mixed with sodium silicate and silane to form an inorganic slurry. The slurry was further sprayed on the concrete surface to construct a superhydrophobic coating (SHC). Transmission electron microscopy and energy-dispersive X-ray spectroscopy mappings demonstrate that the nano-sized SiO₂ has been grafted on the sub-micron HNTs and then further adhered to the surface of micro-sized RCP, forming a kind of superhydrophobic particles (SiO₂/HNTs@RCP) featured of abundant micro-nano hierarchical structures.

The SHC surface presents excellent superhydrophobicity with the water contact angle >156°. Electrochemical tests indicate that the corrosion rate of mild steel rebar in coated concrete reduces three-order magnitudes relative to the uncoated one in 3.5% NaCl solution. Water uptake and chloride ion (Cl^-) diffusion tests show that the SHC exhibits high H₂O and Cl^- ions barrier properties thanks to the pore-sealing and water-repellence properties of SiO₂/HNTs@RCP particles. Furthermore, the SHC possesses considerable mechanical durability and outstanding self-cleaning ability.

SHC inhibits water uptake, Cl^- diffusion and rebar corrosion of concrete, which will promote the sustainable application of concrete waste in anti-corrosive concrete projects.

The study’s purpose is to investigate the constraints and facilitators influencing skiing participation in Beijing. This research includes three segments based on the frequency of skiing participation (i.e. non-, low-frequency-, and high-frequency skiers). By doing so, the study offers an enhanced understanding of the Chinese skiing market and unveils insights assisting industry professionals to effectively address their customers' diverse needs and expectations.

An online survey was developed based on prior research and consisted of four sections: (1) skiing participation; (2) constraints; (3) facilitators; (4) demographics. Items in the constraint and facilitator scale were measured using a 7-point Likert scale. A total of 409 participants completed the survey. The participants included 137 non-skiers, 134 low-frequency skiers, and 138 high-frequency skiers.

Through an exploratory factor analysis, three constructs emerged: general constraints, facilitators and learning constraints. As expected, facilitators were a positive predictor of skiing participation. Importantly, the emergent construct of learning constraints was a negative predictor of skiing and yet, the construct of general constraints was insignificant. Furthermore, the three segments differ significantly in household status, income, and education level.

These results support previous research noting the relevance in skiing participation of the dimensions: facilitators and learning constraints. The findings point to the need for ski resorts in Beijing to offer instructional sessions for beginners so they may become familiar with skiing fundamentals and enhance their confidence, particularly among nonskiers and low-frequency skiers.

Smart community construction (SCC) and efficiency require resident participation. This paper aims to explore the determinants of residents’ participation intention (RPI) in the SCC.

Based on the theory of planned behavior (TPB), this study proposed an extended conceptual model to deeply analyze the RPI in the SCC. The relationship between all constructs was verified by processing and analyzing online survey data using confirmatory factor analysis (CFA), structural equation model (SEM), and bootstrapping method.

Participation attitude, perceived behavioral control, subjective norm, and perceived usefulness significantly and positively affected the RPI. Furthermore, intermediary effects in the extended conceptual model had been confirmed.

To fill the critical gap in the research on the determinants of the RPI in the SCC context, this study developed a novel conceptual model by extending the TPB to analyze the effects of self-driven and externally-driven factors on the RPI from the perspectives of residents’ psychology and external environment. The findings not only clarify the complex process of forming the RPI in the SCC but also provide a theoretical foundation for studying the RPI in similar community construction projects. Additionally, several strategies have been proposed to encourage residents’ participation in the SCC and promote the development of smart communities, such as clarifying residents’ participation obligations, improving the convenience services of smart communities, and diversifying residents’ participation approaches.

In this study, a different approach is introduced to generate the kinetic sub-model for the modeling of solid-state pyrolysis reactions based on the thermogravimetric (TG) experimental data over a specified range of heating rates. Gene Expression Programming (GEP) is used to produce a correlation for the single-step global reaction rate as a function of determining kinetic variables, namely conversion, temperature, and heating rate.

For a case study on the coal pyrolysis, a coefficient of determination (R²) of 0.99 was obtained using the generated model according to the experimental benchmark data. Comparison of the model results with the experimental data proves the applicability, reliability, and convenience of GEP as a powerful tool for modeling purposes in the solid-state pyrolysis reactions.

The resulting kinetic sub-model takes advantage of particular characteristics, to be highly efficient, simple, accurate, and computationally attractive, which facilitates the CFD simulation of real pyrolizers under isothermal and non-isothermal conditions.

It should be emphasized that the above-mentioned manuscript is not under evaluation in any journals and submitted exclusively for consideration for possible publication in this journal. The generated kinetic model is in the final form of an algebraic correlation which, in comparison to the conventional kinetic models, suggests several advantages: to be relatively simpler, more accurate, and numerically efficient. These characteristics make the proposed model computationally attractive when used as a sub-model in CFD applications to simulate real pyrolizers under complex heating conditions.