With its inherent characteristics of decentralization, immutability, and transparency, blockchain technology presents a promising opportunity to revolutionize the South African food supply chains. Blockchain technology, with its decentralized, immutable, and secure nature, offers solutions to these challenges by improving traceability and accountability across the supply chain. This study investigates the role of blockchain technology in enhancing transparency in the food supply chain among small and medium enterprises in South Africa. SMEs form a critical part of the country's agri-food sector but face challenges such as food fraud, inefficient inventory management, and lack of transparency, which impact food safety and trust. The research adopts a mixed-method approach, utilizing the Technology-Organization-Environment framework and Institutional Theory to explain blockchain adoption among SMEs. The results demonstrate that blockchain-enabled practices, such as smart contracts, records traceability, production tracking, and distribution monitoring, significantly enhance supply chain transparency. The findings highlight blockchain's potential to increase operational efficiency, regulatory compliance, and stakeholder trust. This research provides valuable insights for policymakers and practitioners, emphasizing the need for regulatory support and strategic investment in blockchain solutions to promote sustainability and competitiveness in the agri-food sector.

Recent times have seen significant advancements in AI and NLP technologies, poised to revolutionize logistical decision-making across industries. This study investigates integrating ChatGPT, an advanced AI language model, into strategic, tactical, and operational logistics. Examining its applicability, benefits, and limitations, the study delves into ChatGPT's capacity for strategic logistics planning, facilitating nuanced decision-making through natural language interactions. At the tactical level, it explores ChatGPT's role in optimizing route planning and enhancing real-time decision support. The operational aspect scrutinizes ChatGPT's capabilities in micro-level logistics and emergency response. Ethical implications, encompassing data security and human-AI trust dynamics, are also analyzed. This report furnishes valuable insights for the logistics sector, emphasizing AI's potential in reshaping decision-making while underscoring the necessity for foresight, evaluation, and ethical considerations in AI integration. In this publication, it is assumed that ChatGPT is not entirely reliable for decision-making in the logistics field: at the strategic level, it can be effectively used for "brainstormin" in preparing decisions, but at the tactical and operational level, the depth of the knowledge is not sufficient to make appropriate decisions. Therefore, the answers provided by ChatGPT to the defined logistic tasks are compared with real logistic solutions. The article highlights ChatGPT's effectiveness at different levels of logistics and clarifies its potential and limitations in the logistics field.

With the requirements of New English Curriculum Standards, English teaching has shifted towards organising content thematically, focusing not only on the transmission of linguistic knowledge but also on the improvement of students' comprehensive quality during language learning. This evolution undoubtedly raises higher demands on English instruction. Unit-based integrated teaching, as an innovative pedagogical model, is characterised by its holistic, interconnected, progressive, and comprehensive features. It can help students to build a correlated knowledge network facilitates the establishment of connections between disparate pieces of knowledge, deepens students' understanding and enhances their retention, improves their overall linguistic competence and learning ability, so as to foster the comprehensive development of core literacy. Therefore, this article takes the teaching of English in compulsory education as an example, and explores and elaborates on the design and implementation path of integrated teaching of English units under the new curriculum standards from four aspects: teaching objectives, teaching content, teaching process, and teaching evaluation, in order to provide reference for promoting integrated teaching of English units in compulsory education.

Employees’ loyalty is essential for improving the organization’s performance, thus aiding sustainable economic growth. The study examines the relationship between employee loyalty, organizational performance, and economic sustainability in Malaysian organizations. The results indicate a robust positive correlation between organizational performance and employee loyalty, suggesting loyalty drives productivity, profitability, and operational efficiency. Additionally, the study highlights organizational performance as a mediator that connects loyalty to aggregate-level economic consequences, such as resilience and adaptability under volatile market conditions. The research emphasizes the role of leadership, company culture, and work environments that support cultivating loyalty. It also highlights how loyal employees can be a cornerstone of innovation and corporate social responsibility, which aligns with Malaysia’s sustainable development agenda. By addressing this, organizations are encouraged to adopt measures that can foster loyalty and ensure long-term economic sustainability, including employee engagement initiatives, talent management, and recognition systems. Research to come should investigate longitudinal dynamics, cross-cultural comparisons, and sector-specific factors to cement a better base of understanding about the impact of employee loyalty on organizational and economic outcomes.

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.

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.