This study aimed to gain insights into the attitudes and strategies of top management regarding workplace happiness within a semi-government organization in the United Arab Emirates (UAE). Six senior managers at the organization were interviewed to explore their perspectives on employee happiness and the initiatives implemented to enhance it. Thematic analysis of the interview transcripts revealed several key findings. Top managers demonstrated strong commitment and willingness to prioritize employee well-being through long-term research-driven improvements. A variety of strategies incorporating personal, organizational, and Human Resources Management (HRM) factors known to impact happiness were utilized. Religious considerations and empowerment initiatives respect personal values while fostering intrinsic motivation. Top leaders modeled strategic priorities through their conduct, emphasizing visible support. The organization balanced individual needs with organizational goals respectfully. The findings provide practical implications for optimizing retention and performance outcomes through dedicated strategic happiness efforts guided by empirical research. However, more extensive research across diverse populations could further advance understanding in this field.

Comparative analysis of the development history of sports social organizations in China, Japan and South Korea from multiple perspectives, in order to provide reference suggestions for solving the existing problems of the development of sports social organizations in China as well as for the sustainable development in the future. This paper explores the optimization path of sports social organizations in China by using the literature method and comparative analysis method. The study finds that the current development of sports social organizations in Japan and South Korea is characterized by independence and autonomy, a relatively rich number and variety of organizations, mutual separation of powers and responsibilities between government agencies and social organizations, and autonomous operation and efficient governance of sports social organizations. The development of sports social organizations in China has reached a new level since the founding of New China, and the Party’s attention to and support for their development has been increasing, but China still has deficiencies in the number of organizations, organizational capacity, and policy system. The study concludes that Japan and South Korea have three development conditions for sports social organizations: a socially oriented governance system, a more complete policy and regulation system, and a standardized and efficient financial support system. The study concludes that the prosperity of sports social organizations is crucial in building a strong sports nation at the present time. Combining the successful experiences of Japan and South Korea and integrating into China’s national conditions, we strive to build a governance system that combines government and society, construct a diversified financial support system, and improve the policy support system for sports organizations to promote the progress of sports social organizations in China, and open the way for the autonomy and independence of sports social organizations in China, and put the improvement of the governance system of sports social organizations on the agenda.

At the beginning of the 21st century, sustainability is today’s most important issue, but it is achieved only in those areas where there is environmental awareness. Natural heritage is a part of heritage tourism in terms of the grouping of attraction types. The conceptualization of heritage and cultural heritage itself is not uniform in the national and domestic literature, with some considering heritage tourism to be synonymous with cultural tourism and others interpreting it as a connotation. This study aims to present the natural heritage of Győr-Moson-Sopron County (Hungary). Quantitative research was used to analyze the topic (N = 666), the sample is not representative and the selection of respondents was random. Data were collected between 1 September 2023 and 31 October 2023 using electronic questionnaires shared on Google Drive. Data were processed using SPSS 25.0 and MS Office Excel in addition to the descriptive statistical data (modus, median, standard deviation), correlation, and cross-tabulation analyses. In the framework of quantitative research, respondents’ travel willingness to visit tourist attractions, their specific expenditures, and their intention to participate in various events were conducted. The following questions are addressed in the study, whether all three national parks (Fertő-Hanság, Pannontáj-Sokoró and Szigetköz) are equally popular among tourists, whether the educational level of tourists influences the visitation of Lake Fertő, whether the respondents’ place of residence and the Danube floodplain influence the visitation of the lake and whether the age of the respondents influences the visitation of the 700-year-old oak in Hédervár. The significant finding of the study is that the mean of non-young people’s visitation is higher than that of young people in all three national parks.

The purpose of this study is to investigate different factors associated with remote online home-based learning (thereafter named OHL), including technical system quality, perceived quality of contents, perceived ease of use, and perceived usefulness in relation to the satisfaction of undergraduate students following the post-COVID-19 pandemic in Malaysia. Additionally, the mediating roles of attitude are also investigated. Two hundred questionnaires were distributed using judgmental sampling method and 156 completed responses were collected. The data were subsequently analyzed using PLS-SEM. The findings imply that the OHL system is an effective method although it is challenging to operate. In terms of perceived technical system quality, OHL is currently more gratifying for students; however, some have reported that the quality of the content delivered via the remote system is still unsatisfactory. Moreover, the study found that attitude is a significant determinant of undergraduates’ satisfaction with OHL. This study contributes to the advancement of current knowledge by inspecting the factors of the Undergraduate Level OHL System using the mediating roles of attitude. In terms of underpinning theories, Technology Acceptance Model and Information System Model were employed as the guiding principles of the current study.

Climate change is the most important environmental problem of the 21st century. Severe climate changes are caused by changes in the average temperature and rainfall can affect economic sectors. On the other hand, the impact of climate change on countries varies depending on their level of development. Therefore, the aim of this paper is to investigate the relationship between climate changes and economic sectors in developed and developing countries for the period 1990–2021. For this purpose, a novel approach based on wavelet analysis and SUR model has been used. In this case, first all variables are decomposed into different frequencies (short, medium and long terms) using wavelet decomposition and then a SUR model is applied for the examination of climate change effects on agriculture, industry and services sectors in developed and developing countries. The findings indicate that temperature and rainfall have a significant negative and positive relationship with the agriculture, industry and services sectors in developed and developing countries, respectively. But severity of the negative effects is greater in the agricultural and industrial sectors in all frequencies (short, medium and long terms) compared to service sector. Furthermore, the severity of the positive effects is greater in the agricultural sector in all frequencies of developing countries compared to the industrial and services sectors. Finally, developing countries are more vulnerable to climate change in all sectors compared to developed countries.

The goal of this work was to create and assess machine-learning models for estimating the risk of budget overruns in developed projects. Finding the best model for risk forecasting required evaluating the performance of several models. Using a dataset of 177 projects took into account variables like environmental risks employee skill level safety incidents and project complexity. In our experiments, we analyzed the application of different machine learning models to analyze the risk for the management decision policies of developed organizations. The performance of the chosen model Neural Network (MLP) was improved after applying the tuning process which increased the Test R² from −0.37686 before tuning to 0.195637 after tuning. The Support Vector Machine (SVM), Ridge Regression, Lasso Regression, and Random Forest (Tuned) models did not improve, as seen when Test R² is compared to the experiments. No changes in Test R²’s were observed on GBM and XGBoost, which retained same Test R² across different tuning attempts. Stacking Regressor was used only during the hyperparameter tuning phase and brought a Test R² of 0. 022219.Decision Tree was again the worst model among all throughout the experiments, with no signs of improvement in its Test R²; it was −1.4669 for Decision Tree in all experiments arranged on the basis of Gender. These results indicate that although, models such as the Neural Network (MLP) sees improvements due to hyperparameter tuning, there are minimal improvements for most models. This works does highlight some of the weaknesses in specific types of models, as well as identifies areas where additional work can be expected to deliver incremental benefits to the structured applied process of risk assessment in organizational policies.