As consumers evolve psychologically and cognitively, there is an urgent need for enterprises to adapt their marketing strategies to meet consumer needs. As a result, a new marketing concept, emotional marketing, has emerged in the field of marketing. From a theoretical standpoint, emotional marketing refers to the fact that consumers tend to make purchasing decisions based not only on rational considerations but on emotional responses. This shift from a purely transactional approach to one that recognizes the emotional drivers behind consumer behavior is key to understanding modern marketing activities. This study examines the mechanisms and strategies of emotional marketing, focusing on its impact on consumer behavior. Through literature review and case studies, it aims to investigate how enterprises can implement effective emotional marketing that creates lasting influence. Thus, the paper analyzes the impact of emotion marketing on consumer behavior, the strategies and channels used, and the current challenges faced, elucidating the importance of emotion marketing for business development, and making recommendations for future research. The results demonstrate that the incorporation of cutting-edge technologies may facilitate a more precise comprehension of consumer sentiment and enhance the efficacy of future marketing initiatives.

In the rapidly evolving landscape of business-to-business (B2B) marketing, the integration of digital strategies has become essential for promoting advanced technologies. This paper focuses on efficient digital strategies for promoting radar products in the B2B market. This study puts forward its current trends and analyzes its challenges, pointing out that while there are extensive segmentation and needs of the radar B2B market, marketing high-tech products like radar technology involves distinct challenges that need specialized digital strategies. For one thing, the technical complexity of radar products requires specialized knowledge to convey its benefits to potential buyers in the B2B market. For another, B2B sales cycles involve multiple decision-makers, often requiring demonstrations, pilot projects, and continuous dedication to establish long-term trust. Based on these, this study identifies several key digital marketing tactics, such as content marketing, Search Engine Optimization (SEO), social media engagement, email marketing, digital advertising and real-time analytics to enhance radar products’ brand visibility in the B2B market. Empirically, the results provide valuable digital marketing insights for high-tech companies, especially for radar products in the B2B sector.

In the digital age, the widespread popularity of smart products has significantly boosted the number of users of games, making them more accessible and diverse. This paper explores the intersection of behavioral economics and game design, focusing on how psychological principles can be used to motivate player engagement and spending. By analyzing key concepts such as loss aversion, the sunk cost fallacy, immediate versus delayed rewards, and social comparisons, this article demonstrates the principle that drive the success of modern gaming platforms. Using case studies, this paper shows how these principles influence player behavior and improve engagement and profitability. These findings highlight the critical role of behavioral economics in shaping the gaming experience and provide insights for developers and marketers aiming to sustain user growth and revenue. Future research could delve into the ethical implications of these mechanisms and their long-term implications for consumer behavior.

With the continuous development of economy and technology, people's lifestyles are slowly changing, but the new generation of teenagers do not seem to be happier because of the improvement of economic level. According to statistics, more and more teenagers seem to have psychological problems to varying degrees. Paying attention to the mental health of teenagers is a topic that the whole society should pay attention to. This article selects the nominal GDP growth rate, population growth rate and CPI of the United States as independent variables, and the prevalence of MDE among adolescents from 2014 to 2023 as the dependent variable, attempting to explore the relationship between the macroeconomic level and adolescent mental health. The results show that population growth is negatively correlated with adolescent psychological problems, but higher GDP growth rates and higher inflation rates (measured by CPI) are associated with higher MDE prevalence rates. This result can remind the government that while developing the economy, it should also focus on using public resources to protect the healthy development of adolescents.

This paper studied the development of the bike-sharing system in China, the challenges that bike-sharing system facing, and proposed solutions. Shared-bicycle is a convenient and environmentally friendly option for short-distance city travel, but it faced issues such as insufficient durability, poor application software performance, theft, and intentional destruction. This paper compares the large-scale deployment and adoption of dockless bicycle systems used by shared bicycle systems in China with the small-scale deployment in the West that prioritizes user experience and sustainability through the use of bicycle parking stations. Although shared-bicycles have a positive impact on the environment, economy, and transportation in China, technical issues and low operational efficiency have hindered user satisfaction and market growth. This paper proposes a series of suggestions, such as improving the durability, software performance, and anti-theft measures of bicycles, aiming promote the sustainable development and optimization of shared bicycle system in China.

With the deepening of globalization, market boundaries are becoming increasingly blurred, and the importance of small and medium-sized enterprises (SMEs) as an indispensable part of the market is becoming more prominent. SMEs play an irreplaceable role in promoting economic growth, increasing employment, fostering market integration, and driving technological innovation. However, in the complex and ever-changing market economy, SMEs face significant challenges in securing financing. This article examines the root causes of these financing difficulties and proposes a series of practical and feasible solutions through theoretical analysis. It can be concluded that the current challenges faced by SMEs in financing include tight bank loan quotas, limited collateral, internal management issues, and asymmetric market information. At the same time, this article also proposes solutions such as optimizing government policies and improving the capabilities of SMEs.

Climate change is accelerating the shift from traditional, carbon-intensive industries to decentralized green economies in U.S. cities. Urban hubs like Silicon Valley, Boston, and Austin are emerging as global leaders in clean technology, biotechnology, and renewable energy by capitalizing on their unique regional strengths. These industry clusters not only enhance economic resilience but also drive innovation and sustainability. The article explain different actions that U.S. cities do to deal with climate change and it will also use comparison and examples to illustrate the contents. The study attributes their success to robust innovation ecosystems, supportive policies, and strong academic and research institutions. However, challenges such as inconsistent funding, policy variability, and workforce retraining persist. Despite these obstacles, ongoing technological advancements, evolving policies, and global trends are expected to sustain the momentum of green industries. The U.S. model provides critical insights for other regions aiming to transition to sustainable economies. This study underscores the essential role of urban innovation, collaboration, and strategic policymaking in addressing climate change and ensuring long-term economic and environmental resilience globally.

An increasing number of users are relying on online shopping in recent years. E-commerce is a rising field that shows great potential in business. A precise prediction on e-commerce sales could greatly affect the business plan of a company, influencing the marketing strategy, supply chain management, production, and many other aspects. Thus, e-ommerce sales prediction has become an attention-grabbing topic in the current business world. This study compares the performance of traditional statistical approaches and recent machine learning algorithms on e-commerce sales forecasting based on two datasets with and without time series data obtained from Kaggle. By comparing the performance metrics, including MAE and RMSE, machine learning methods outperformed in datasets without time series data, and statistical models achieved a better result in datasets with time series data. Thus, a trend that traditional models like ARIMA are better at time series data and machine learning methods have an obvious advantage in non-time series data has been proposed. Both of the models have their own strengths in corresponding fields.

In the era of Internet information, e-commerce has largely replaced offline procurement and has become the primary choice for people to purchase daily items. In this context, the formation of risk problems and risk mechanisms existing in the supply chain has become the primary problem that needs to be solved in this field. By examining the development status of China's e-commerce industry, this paper emphasizes the risk identification and formation mechanism of the e-commerce supply chain as well as prevention and control strategies, and by comparing the contents of previous studies, a set of updated and relatively complete supply chain risk assessment standards are obtained. A comprehensive analysis has revealed that the current supply chain risk analysis framework has not adequately adapted to changing market dynamics. Therefore, it will be fully combined with the contemporary market situation and supply chain steps, continuously optimized and summarized, aiming at using more perfect risk assessment standards to reduce the risk loss and profit loss of e-commerce, so as to make it more accurate. In addition, the study's conclusions highlight the business implications of logistics and product supply in the e-commerce industry, as well as the importance of identifying supply chain risks in e-commerce.

This paper aims to research and find out how effective the marketing strategies used by hotels in two tourist destinations, including Xiangxi Atour Hotel in Qinhuangdao and Weidu International Hotel in Datong. As a result, the study will compare these strategies in terms of their appeal to tourists and customer retention. In order to do so, the study conducts a detailed analysis to find both different and similar items in the marketing approaches of the hotels. Through a merit review of relevant materials, delving into the mechanisms of marketing, and studying customer demographics as well as seasonal adaptations, the study reveals the pros and cons of the strategies utilized by both hotels. This study shows that there are obvious differences in the efficacy of traditional marketing and digital methods employed in different local markets and the most compelling case of customers. This section provides an evaluation of the findings, along with suggested strategies for corporate leaders to follow the firsthand urban context in order to maximize the miscellaneous marketing choices.