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In an era where sustainability is a pressing global concern, understanding the role of leadership in fostering ecofriendly behaviors within organizations is more critical than ever. Leadership not only sets the strategic direction but also shapes employees’ attitudes and behaviors toward sustainability. This study investigates the direct impact of green transformational leadership (GTFL) on pro-environmental behavior (PENB) and its indirect influence through employer attractiveness (EMA) in the tourism sector. Given the increasing environmental challenges faced by the tourism industr y, exploring how leadership can drive sustainability at the employee level is of paramount importance. To achieve this, data were collected from 399 tour operators in Egyptian travel agencies. The study employs Partial Least Squares Structural Equation Modeling (PLS-SEM) to assess the relationships between key variables. The findings reveal that GTFL exerts a significant positive impact on both PENB and EMA, indicating that green leaders inspire employees to engage in environmentally responsible behaviors while also enhancing the organization's appeal to eco-conscious talent.Furthermore, the results confirm that EMA partially mediates the relationship between GTFL and PENB. This suggests that organizations with strong green leadership not only directly influence employee sustainability behaviors but also enhance their attractiveness as employers, which in turn strengthens employees’ commitment to environmental initiatives. These findings fill critical gaps in the literature by empirically demonstrating the mechanisms through which green leadership fosters sustainable workplace behaviors.From a practical perspective, the study underscores the importance of cultivating green leadership practices to drive sustainability in the tourism sector. By fostering a workplace culture that prioritizes environmental responsibility, organizations can attract and retain employees who are aligned with sustainability values in the Egyptian tourismsector.

Poor indoor air quality (IAQ) due to invisible pollutants in closed environments is a major threat to human health. The current monitoring systems are unable to provide precise information in real time, which is why there is a need for a smarter system of predictive IAQ management. This study presents a novel predictive system based on artificial intelligence called SLIF (Swarm-Liquid Intelligence Framework), for Smart IAQ Management. SLIF is a combination of Hybrid LSTM-GRU and Liquid Neural Networks (LiquidAdaptedNet) to predict IAQ with better accuracy, taking into consideration the dynamic environmental variations. The system integrates intelligent IAQ prediction, adaptive control, and HVAC energy-efficient optimization. It is integrated with HVAC to control air quality in real-time, and swarm intelligence methods are applied to streamline the functionality. Using evolutionary refinement techniques, such as swarm intelligence, the optimized LiquidAdaptedNet architecture achieves RMSE, MAE, R2, and MSPE values of 6.52, 6.27, 97.63%, and 1.41, respectively. New learning paradigms, including single-task, multitask, and refinement-based learning, have demonstrated significant improvements in model generalization and predictive performance. In addition to considering external parameters of the environment, the SLIF framework presents accurate forecasts for three important indoor pollutants, namely nitrogen dioxide (NO 2 ), particulate matter (PM2.5), and carbon monoxide (CO). Depending on operating conditions, SLIF is used to achieve as much as 99.97%, 98.67%, and 94.47% of pollutant concentrations. The simulation results showed that up to 91.45% of energy savings can be achieved in the HVAC system, while maintaining good indoor air quality. Using environmental monitoring and HVAC control together with artificial intelligence, SLIF provides a scalable and dependable approach to managing the indoor air quality with the help of intelligent indoor air quality in residential, commercial, and industrial settings. This assists in making the indoor environment healthier and more sustainable.

The rapid growth of China's outbound tourism market has attracted a great deal of attention in recent years. However, literature is still sparse in this concern. Despite the long historic relation between Egypt and China, and the great variety of Egyptian tourism products, Egypt gets a small market share from the Chinese outbound tourism market. This paper presents an analysis for the pull and push travel motivations, which affect the Chinese University Students decision to travel for tourism. This analysis in particular will highlight the push and pull motivations of the potential travellers of Chinese universities students and give a helping hand to the Egyptian decision makers to assess and rebuild an Egyptian Tourism Marketing Strategy towards Chinese university student market segment.

Museums have a crucial role in the tourism industry, so it seems important to understand all factors that influence tourists while visiting museums. This paper aims to examine the interrelationships between three variables, visit experience; tourist's satisfaction, and future behavioral intentions among tourists at the Egyptian Museum. Data have been collected from tourists at the Egyptian Museum in Cairo, by using a self-administrated questionnaire, and the structural equation modeling were conducted. The results indicate a statistically significant structural effects between the three variables, hence they can be useful for the decision makers at the Egyptian Museum and Ministry of Antiquities to improve their marketing efforts and enhance the use of the available resources.

Technology is moving so quickly, and in so many directions. Nowadays, the 3D printing technologies is a global trend, and as it evolves, the 3D printing technology is destined to transform almost every major industry, including the travel and hospitality industry and change the way of our life, work, and manage the future, thus tourism stakeholders and policy makers need to identify potentially technologies, and carefully consider their potential, before these technologies begin to impact travel and hospitality industry. This paper aims to examine the potential impacts of 3D technologies on travel & hospitality industry, data were collected through interviews with a sample of tourism stakeholders in Egypt.