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This study aims to examine the role of women’s career expectations (CEs) in changes in their career advancement (CA) and to determine whether these changes were because of socio-demographic factors.

Multiple linear regression was used to measure the relationship between women’s CEs and CA, as well as the influences that socio-demographic factors (e.g. education) have on that relationship.

Results indicated that CEs had two dimensions (i.e. career rewards and career development) and that career reward expectations had a significantly higher effect on CA than career development expectations. Furthermore, women were very likely to set higher CEs and stronger desires for CA as they became older. Results also showed that education, working years and position level were significantly related to women’s CA.

This study provides new insight into which aspects of women’s CA can be boosted by CEs and how these aspects may be affected by socio-demographic factors. This study can help hotels design better career management strategies to achieve the desired results. The study also provides guidance for women’s career management activities.

This study considers women’s CEs in hotels. The results revealed two dimensions (i.e. career rewards and career development) of CEs and uncovered the influences of socio-demographic factors on women’s CA, for example, age, education, working years and position level.

基于对酒店业两个变量（即职业期望和职业晋升）的理解, 本研究旨在考察职业期望在妇女职业晋升变化中的作用, 并确定这些变化是否由社会人口特征因素引起。

采用问卷调查的方式收集数据。采用多元线性回归来衡量女性职业期望和职业晋升之间的关系, 以及社会人口特征因素（如教育）对这种关系的影响。

结果表明, 职业期望有两个维度（即职业奖励和职业发展）, 职业奖励期望对职业晋升的影响明显高于职业发展期望。此外, 随着年龄的增长, 女性倾向于有更高的职业期望和更强烈的职业晋升愿望。结果还显示, 受教育程度、工作年限、职位级别与女性的职业晋升显著相关。

这项研究为女性职业期望在哪些方面可以促进职业发展以及社会人口特征因素如何影响这些方面受到的提供了新的见解。这项研究可以帮助酒店设计更好的职业管理策略, 以达到预期效果。本研究也为女性的职业管理活动提供了指导。

本研究将职业期望引入酒店业中女性员工职业发展研究。结果显示职业期望的两个维度（即职业奖励和职业发展）, 并揭示了社会人口学因素如年龄、学历、工作年限和职位级别等对女性职业晋升发展的影响, 。

basado en la comprensión de dos variables (es decir, expectativas profesionales y avance profesional) en la industria hotelera, este estudio tuvo como objetivo examinar el papel de las expectativas profesionales en los cambios en el avance profesional de las mujeres y determinar si estos cambios se debieron a factores sociodemográficos.

Se Utilizó Un Cuestionario Para Recopilar Datos. Se Utilizó La Regresión Lineal Múltiple Para Medir La Relación Entre Las Expectativas Profesionales De Las Mujeres Y El Avance Profesional, Así Como Las Influencias Que Los Factores Sociodemográficos (Por Ejemplo, La Educación) Tienen En Esa Relación.

Los Resultados Indicaron Que Las Expectativas De Carrera Tenían Dos Dimensiones (Es Decir, Recompensas De Carrera Y Desarrollo De Carrera) Y Que Las Expectativas De Recompensa De Carrera Tenían Un Efecto Significativamente Mayor En El Avance De La Carrera Que Las Expectativas De Desarrollo De Carrera. Además, Las Mujeres Tenían Más Probabilidades De Tener Expectativas Profesionales Más Altas Y Deseos Más Fuertes Para Avanzar En Su Carrera A Medida Que Envejecían. Los Resultados También Mostraron Que La Educación, Los Años De Trabajo Y El Nivel De Posición Estaban Significativamente Relacionados Con El Avance Profesional De Las Mujeres.

Este Estudio Proporciona Una Nueva Perspectiva Sobre Qué Aspectos Del Avance Profesional De Las Mujeres Pueden Ser Impulsados Por Las Expectativas Profesionales Y Cómo Estos Aspectos Pueden Verse Afectados Por Factores Sociodemográficos. Este Estudio Puede Ayudar A Los Hoteles A Diseñar Mejores Estrategias De Gestión Profesional Para Lograr Los Resultados Deseados. El Estudio También Proporciona Orientación Para Las Actividades De Gestión Profesional De Las Mujeres.

este estudio considera las expectativas profesionales de las mujeres en la industria hotelera. Los resultados revelaron dos dimensiones (es decir, recompensas profesionales y desarrollo profesional) de las expectativas profesionales y descubrieron las influencias de los factores sociodemográficos en el avance profesional de las mujeres, por ejemplo, edad, educación, años de trabajo y nivel de posición.

The image of the construction industry in China, as in many other countries, is tarnished by its poor safety record. With the rapid development of subway systems in Chinese urban areas, construction workers are being exposed to new risks which are poorly understood and managed. Subway construction projects are large scale and scattered over many construction sites, and involve numerous stakeholders and sophisticated technologies in challenging underground environments. Accident rates are high and have significant economic and social consequences for the firms and people involved. Addressing the gap in research about the safety risk in these projects, the purpose of this paper is to advance understanding of the factors influencing the safety of Chinese subway construction projects with the overall objective of reducing accident rates.

A survey was conducted with 399 subway construction professionals across five stakeholder groups. Follow-up interviews were also conducted with five experienced experts in safety management on subway projects to validate the results.

It was found that the eight most critical factors perceived by stakeholders to influence safety risks on Chinese subway projects are: project management team; contractor-related factors; site underground environment; safety protection during the use of machines; safety management investment; site construction monitoring and measurement; hazard identification and communication; and use of machines in all stages. This indicates that in allocating limited project resources to improve the safety of subway projects, managers should focus on: developing safety knowledge and positive attitudes in leadership teams; formulating effective risk management systems to identify, assess, mitigate, measure and monitor safety risks on site; improving communications with stakeholders about these risks and effectively managing plant, equipment and machinery.

This research contributes a new multi-stakeholder perspective to the lack of safety research in Chinese subway construction projects. The research findings provide important new insights for policymakers and managers in improving safety outcomes on these major projects, producing potentially significant social and economic benefits for society and the construction industry.

In order to analyze the level of independent controllability and its evolution of high-end equipment manufacturing industry from Jiangsu Province, this article introduces the dual-excitation control line method to construct a comprehensive evaluation model for independent controllability.

Through the collection of information of high-end equipment manufacturing industry's independent and controllable capabilities on different indicators, the three aspects of advancement, autonomy and controllability, an empirical evaluation of 10 enterprises in the high-end equipment cluster in Jiangsu Province was conducted in terms of advancement, autonomy and controllability.

It effectively reveals the area and evolution characteristics of the “reward” and “punishment” of different indicators of each representative enterprise and reflects the development status and different characteristics of each representative enterprise on the three indicators. The research results provide decision-making guidance for enterprises in the management and control of advanced manufacturing systems with independent and controllable capabilities.

Existing research focuses on the evaluation of enterprises' independent controllability only on a single angle or index. This paper maps the dynamic evaluation problem of multiple time-point data to the evaluation problem of single time-point multi-index data and investigates the fluctuation of the performance of the same enterprise under different indexes, so as to comprehensively evaluate the independent controllable level of high-end equipment manufacturing industry and analyze the reasons. Further, this paper first establishes an evaluation index system of independent controllable level of high-end equipment manufacturing industry and quantitatively measures the advanced, independent, controllable and other aspects of typical enterprises in this industry by constructing a double incentive control line evaluation model.

This study aims to investigate the spatial distribution of housing prices and identify the affecting factors (independent variable) on the cost of residential units (dependent variable).

The method of the present study is descriptive-analytical and has an applied purpose. The used statistical population in this study is the residential units’ price in Tehran in 2021. For this purpose, the average per square meter of residential units in the city neighborhoods was entered in the geographical information system. Two techniques of ordinary least squares regression and geographically weighted regression have been used to analyze housing prices and modeling. Then, the results of the ordinary least squares regression and geographically weighted regression models were compared by using the housing price interpolation map predicted in each model and the accurate housing price interpolation map.

Based on the results, the ordinary least squares regression model has poorly modeled housing prices in the study area. The results of the geographically weighted regression model show that the variables (access rate to sports fields, distance from gas station and water station) have a direct and significant effect. Still, the variable (distance from fault) has a non-significant impact on increasing housing prices at a city level. In addition, to identify the affecting variables of housing prices, the results confirm the desirability of the geographically weighted regression technique in terms of accuracy compared to the ordinary least squares regression technique in explaining housing prices. The results of this study indicate that the housing prices in Tehran are affected by the access level to urban services and facilities.

Identifying factors affecting housing prices helps create sustainable housing in Tehran. Building sustainable housing represents spending less energy during the construction process together with the utilization phase, which ultimately provides housing at an acceptable price for all income deciles. In housing construction, the more you consider the sustainable housing principles, the more sustainable housing you provide and you take a step toward sustainable development. Therefore, sustainable housing is an important planning factor for local authorities and developers. As a result, it is necessary to institutionalize an integrated vision based on the concepts of sustainable development in the field of housing in the Tehran metropolis.