This paper discusses how ML can be leveraged to enhance supply chain forecasting through demand prediction, risk mitigation and demand-supply match optimization. Even deterministic and time-series supply chain approaches don’t have an edge over volatile and challenging data environments, making them imprecise and inflexible. Through the use of ML models, such as recurrent neural networks (RNNs), support vector machines (SVMs), and reinforcement learning (RL) agents, this study shows the accuracy in demand prediction, risk detection, and supply-demand match. The primary findings include: the RNN decreases the mean squared error by 15% over traditional approaches and the RL agent minimizes inventory turnover and lead times to enhance supply chain efficiencies. These results highlight the potential of ML to react rapidly to real-time shifts and drive better decisions. The report provides a comprehensive approach to data-driven predictive models, and useful advice for companies looking to improve supply chain resilience and profitability.

This article outlines the effects of global economic policy on corporate internationalization, with an emphasis on trade agreements, exchange rates and import-export controls. In using a representative sample of MNCs in multiple industries, this paper employs a quantitative framework to investigate how such policy considerations influence firms’ market entry decisions and use of resources. Findings show that trade agreements tend to make it extremely tempting for firms to use high-capital entry channels like FDI, by minimising tariffs and standardizing rules. Conversely, exchange rate volatility pushes firms towards low-capital activities such as exports in order to offset currency risks. Additionally, strict import-export regulations force firms to respond by manufacturing in-house or domestically sourcing inputs, thereby altering competitive positioning. These studies offer useful insight into the complicated connection between global economic policy and international business practices and the need for flexible financial models to deal with changing policy environments.

The need for responsible waste management has prompted more efficient and cutting-edge technologies in line with Circular Economy values. This paper focuses on the latest waste management technology solutions such as new generation recycling processes such as mechanical biological treatment (MBT) and optical sorting, as well as waste-to-energy (WTE) facilities that convert waste that cannot be recycled into energy. In case studies of Stockholm, Tokyo and New York, the study analyses how these technologies increase recycling, eliminate landfill dependence, and help recover resources. But, in practice, these technologies need to be bundled together against material contamination, infrastructure and mismatched policies, especially in the developing world. The paper points to policy instruments such as extended producer responsibility (EPR) as key drivers of recycling, and also to the need for global cooperation and uniform policy implementation to take Circular Economy to the next level across the globe. Through synthesising qualitative and quantitative information, this research offers practical recommendations to meet the needs of cutting-edge technology with waste management for a cleaner world, while offering pathways for industrialised and developing countries to curb waste and maximize the use of resources.

This paper conducts a theoretical analysis of bank performance through the lens of three key theoretical perspectives: Principal-Agent Theory, Resource Dependence Theory, and Financial Innovation Theory. By examining their individual contributions and the conflicts or synergies among them, the study develops an integrative framework to evaluate and enhance the performance of urban commercial banks (CCBs). The Principal-Agent Theory emphasizes the governance and incentive alignment challenges specific to financial institutions, while the Resource Dependence Theory highlights the strategic management of external resources critical for bank success. Additionally, Financial Innovation Theory underscores the importance of adapting to and leveraging innovations in the financial sector. The synthesis of these theories offers a holistic understanding of bank performance, proposing actionable strategies for governance, resource optimization, and innovation adoption. This work provides both theoretical and practical implications for policymakers, researchers, and banking practitioners aiming to improve the competitive positioning and efficiency of urban commercial banks.

Light industrial products have a significant share in international trade, and with the passage of time, the export volume of these products is also increasing year by year. From the revenue reports of Hikvision over the past 10 years, it can be seen that the sales of light industrial products, both domestically and internationally, are steadily increasing. Among the eight categories of light industrial products exported from China, five categories including tobacco and alcohol, textiles, cosmetics, gold and jewelry, and furniture show a positive growth in the number of exports. In the Vietnamese market, manufacturing and transportation are among the sectors that have the greatest impact on the growth of the Vietnamese economy. Surveys indicate that the volume of cargo transportation in Vietnam is increasing year by year, leading to a rising demand for transportation AGV robots. In the forecast model for cargo volume in the Vietnamese market, it is predicted that the volume of cargo transportation will gradually increase in the future, and therefore, the demand for pallet robots will also gradually increase with changes in cargo volume.

Central bank digital currency (CBDC) is a groundbreaking innovation that provides a digital currency issued by the state to replace cash and commercial bank deposits, and is gradually changing the operating mode of the traditional financial system. This paper explores the disruptive impact of CBDC on financial institutions, monetary policy and payment systems through theoretical analysis and empirical data. The study pointed out that CBDC has the potential to improve financial inclusion, reduce transaction costs and enhance the efficiency of monetary policy transmission. However, the challenges it has caused, such as financial disintermediation, systemic risks and privacy issues, urgently need to establish a strong regulatory framework to address them. Through data-driven insights and case studies, this paper provides a comprehensive perspective on how to find a balance between innovation and financial stability.

In the today’s digital era, the advent of short video marketing as a novel form of communication has emerged as a key strategy for augmenting brand impact and market competitiveness. With its fast-paced delivery, diverse content formats, and strong user engagement, it caters to the need for quick information and entertainment during fragmented time, making it a dominant approach for brand promotion. As such, this paper uses Lumila potato chips from Zhaotong, Yunnan, as a case study to explore the application of short video marketing in promoting local specialty brands. By analyzing key strategies like topic-driven marketing, the combination of creative content and entertainment elements, and online-offline integration, it reveals how short video marketing can break via the limitations of the regional market via innovative content and cultural integration, and significantly enhance the brand’s national awareness and market competitiveness. The results demonstrate that short video marketing effectively addresses challenges faced by local brands, such as limited reach and low recognition, providing valuable experience and support for digital marketing of local brands.

In the context of increasingly fierce market competition, the exploration of how brands can boost their competitiveness through innovative marketing strategies has become a widely discussed research topic. Cross-industry marketing, especially co-branding, as an emerging brand collaboration strategy, is increasingly becoming an important way for brands to strengthen their market influence. This paper investigates the theoretical foundation, implementation strategies, and the mechanism of co-branding and cross-industry marketing on brand growth through literature analysis and case studies. The research covers brand cooperation cases across multiple industries such as food, fashion, and technology, with a focus on the contributions of co-branding to brand innovation, differentiation, and market expansion. In addition, it summarizes the key success factors and potential risks of co-branding. The results show that co-branding can effectively enhance a brand’s innovation and market differentiation, expand the consumer base by co-creating value and integrating brand images, and thus enhance the brand's market competitiveness. It can also stimulate consumers’ purchasing desire, improve brand loyalty, and increase brand influence via word-of-mouth marketing. However, it is important to note that excessive co-branding or improper collaborations may lead to brand image damage and market fatigue.

The initial establishment of the BRICS cooperation mechanism was based on economic cooperation. However, in recent years, as the global influence of the BRICS countries continues to rise, they have played an increasingly important role within the world power structure and are increasingly seen as a significant force in reshaping the new global governance pattern. This paper explores the contributions of the BRICS countries to global governance and their impact on the new global order from the perspective of international political economy. The study finds that the BRICS cooperation mechanism has not only improved the position of developing countries in the global wealth distribution, but also promoted the transfer and diffusion of structural power in the global South. At the same time, it aims to establish a more equitable and open new global order with the goals of sustainable development and common prosperity and development between the North and the South. From a practical perspective, the BRICS cooperation mechanism adheres to the development philosophy of mutual respect, inclusiveness, and openness, continuously strengthening exchanges, trade, and investment cooperation among them. Regular leaders' meetings, including ministerial talks and various working meetings, media forums, etc., have been formed. Financial cooperation has been strengthened through the establishment of the BRICS Bank and contingency reserve arrangements, which have disseminated the voices of developing countries in global governance and contributed Chinese wisdom to the establishment of a new global development order.

Nowadays, the advertising industry is developing apace, especially the online advertisement, which has caught customer’s attention. In era of information explosion, how to accurately capture the needs consumers in a large number of complex information, is the problem faced by enterprises in marketing. The main research problem of this paper is the application of artificial intelligence in the field of advertising and marketing. In the digital age, AI has become a key driver of advertising and marketing. It can not only help enterprises to accurately target the target consumer group to deliver information, but also help enterprises to convey information and improve the effect of marketing activities and advertising. With the vertical deepening of artificial intelligence technology, AI endorsement, interactive advertising and immersive interactive advertising will be the mainstream advertising forms that occupy the market in the future. Therefore, using the AI technology in the fields of advertising and marketing can lead to wealth upgrading.