The study investigates the role of foreign language enjoyment (FLE) and engagement in the context of English language learning among Chinese students, emphasizing the significance of positive emotions in enhancing academic success. Utilizing a sample of 249 students majoring in international trade, the research employs the foreign language enjoyment scale to count their enjoyment level and foreign language engagement scale to assess various dimensions of student engagement, including cognitive, emotional, behavioral, and social engagement. By conducting regression analysis, the findings reveal that FLE positively influencing learners’ learning outcome while engagement doesn’t pose significant impact on their learning outcome. The study highlights the importance of fostering positive emotions in educational settings to improve language learning outcomes and suggests that understanding the interplay between FLE and other affective factors can lead to more effective teaching strategies in foreign language education. 

The primary purpose of the current study is to investigate the impact of entrepreneurial orientation on the international performance of SMEs. In addition, the study has also examined the mediating Role of social capital and global mindset in the relationship between entrepreneurial orientation and the international performance of SMEs. The present business situation for Sustainability depends on the company’s capability and the existing capital, which comprises expertise, skills, and company capability, which force its ability to compete and utilize the valued resources with strategy. In organizational processes, a company’s abilities and capital enhance its performance, especially in profit earning and forming a strategy. According to the resources-based theory, the group of internal abilities and resources in the firm may produce competitive benefits and result in more excellent performance. We have used PLS path modeling in the present study to analyze the theoretical model. Entrepreneurial orientation is a resource that indicates the extent of a business’ proactive state, risk-taking innovativeness, competitive belligerence, and autonomy. Regarding the effect of social capital on international performance, the findings demonstrate a significant and positive correlation between the two variables regarding the effect of a global mindset on international performance; the findings indicate a significant correlation between the two variables. In general, the findings of this current study are consistent with those of previous ones, whereby the global mindset is indicated to play a significant role in achieving international performance for SMEs. The findings also align with the theory of contingency assertion about the global mindset, whereby the positive effect of intellectual intelligence on international performance is confirmed.

While the International Civil Aviation Organization (ICAO) Council is sometimes criticized for the potential influence of political agendas on its decisions, while the International Court of Justice (ICJ) is criticized for its limited jurisdiction and dependence on the party’s willingness to accept the ICJ’s jurisdiction, a crucial concern is raised over the efficiency of the current Dispute Resolution Mechanisms (DRM) for aviation industry related disputes. Unravelling the compelling inquiry that hangs in the air: Just how efficient is the current aviation arbitration legal system? Is the efficiency of this system available to ad hoc arbitration¹ or arbitral tribunals²? The authors aim to analyze the existing legal guidance to navigate the complex arbitration system. This article sheds light on precedent cases by the ICAO Council and the ICJ studying challenges, such as the lack of efficiency of the ICAO Council and the criticism of the Council’s ineffectiveness for being hampered by the political interests of Member States. As well as the ICJ as it may be a more powerful authority in resolving such disputes, it also faces multiple challenges including the lack of enforcement, jurisdiction issues, and political influence, which in return makes it unlikely for dispute parties to seek the ICAO or the ICJ for resolution of their disputes, instead parties have now mostly adopted arbitration clauses as their primary dispute resolution method under Air Services Agreements (ASAs) and other aviation related agreements. While ad hoc arbitration has shown effectiveness and success, its secrecy and confidentiality might result in inconsistency and the inability to develop a case law system. The authors note the urgent need for an arbitration institution³ under the United Nations (UN) umbrella specialized in air law and aviation technology disputes, with the power to issue an enforceable, legally binding ruling. The article also examines the realm of arbitration in the aerospace industry, analyzing legal resources, current aviation arbitration systems, centres, and platforms, and further analyzing case studies to assess the results of the efficiency of each Dispute Resolution Mechanism.

This study aims to explore the research on Chinese higher education policy from 2005 to 2024 through a bibliometric analysis. It is revealed that a continuous growth trend and sustained academic interest in this field. Mainland China leads in publication quantity, showcasing the active involvement of Chinese scholars in higher education policy research. Institutions like Peking University, the University of Hong Kong, and Beijing Normal University play significant roles in this research domain. The focus of research has shifted from student attitudes to international students, teachers, innovation models, changing demands, and urban education development, reflecting a growing emphasis on sustainability and internationalization. The study highlights the positive development trajectory of Chinese higher education policy research, with expanding research focuses and deepening concerns for sustainability and internationalization.

Modernizing the Internet of Things in Islamic boarding schools is essential to eliminate backwardness and skills gaps. Santri must have cognitive, affective, psychomotor, and creative intelligence to be ready to enter the industrial and business world. The students’ need for information transparency can be resolved using technology. This is because the empowerment of the Internet of Things has become a separate part of Islamic boarding school activities with students who can connect in real-time. This research aims to analyze current conditions and stakeholder involvement regarding the application of the Internet of Things in innovative Islamic boarding school services in the era of disruption. The Descriptive Method and Individual Interest Matrix Analysis were used by involving 130 respondents from the internal environment of the Daarul Rahman Islamic boarding school and completing the questionnaire through FGD (Focus Group Discussion) with the leaders of the Daarul Rahman Islamic boarding school. The results show that the current condition of Islamic boarding schools is that most need to learn or understand IoT, even though they are enthusiastic about learning new things and flexible in accepting change. The challenges required in implementing IoT are financial investment, increasing human resources through training, and synergy between Islamic boarding school policy makers. Mutually supportive and solid conditions are required between foundations, school principals, and school committees to implement IoT at Daarul Rahman Islamic Boarding School. Collaboration with various parties is needed because the implementation of IoT cannot be done alone by Islamic boarding schools but with the support of various related parties.

The growth of mobile Internet has facilitated access to information by minimizing geographical barriers. For this reason, this paper forecasts the number of users, incomes, and traffic for operators with the most significant penetration in the mobile internet market in Colombia to analyze their market growth. For the forecast, the convolutional neural network (CNN) technique is used, combined with the recurrent neural network (RNN), long short-term memory network (LSTM), and gated recurrent unit (GRU) techniques. The CNN training data corresponds to the last twelve years. The results currently show a high concentration in the market since a company has a large part of the market; however, the forecasts show a decrease in its users and revenues and the growth of part of the competition. It is also concluded that the technique with the most precision in the forecasts is CNN-GRU.