With the continuous improvement of global health and fitness awareness, online fitness platforms have rapidly become an important part of the fitness industry. By leveraging digital technology and integrating O2O (Online-to-Offline), such platforms are reshaping user experience and service models. However, due to the partial homogenization of online fitness products, user stickiness will further become the commercial marketing focus of Internet fitness platforms. This study takes Keep, a leading online fitness platform in China, as a case. Based on its annual financial report, operational data and user questionnaire survey, and combined with SPSS for statistical analysis, it explores its business model innovation and operational effectiveness. The research results show that Keep has maximized the high stickiness of users through its "trinity" innovative mechanism. However, considering the cost control in the technological innovation mechanism, the article suggests that a balance between user activity and profitability can be achieved by optimizing the revenue structure, enhancing high-margin businesses, and introducing intelligent training programs. This study aims to provide practical references and theoretical inspirations for the digital transformation and sustainable development of global online fitness platforms.

The internet and e-commerce have been in existence for several decades, while machine learning (ML), a subfield of artificial intelligence, is a relatively recent yet highly influential development. Moreover, it is widely used to offer highly relevant products and services, optimize prices, uncover fraudulent activities, and improve customer trust. It contributes to evidence-based decision-making, operational productivity, and enhanced end-user satisfaction. This paper investigates the key applications of ML in e-commerce, focusing on recommendation systems, predictive analytics, dynamic pricing, and customer service automation. From reviewing the current literature and analyzing the industry’s real-life use scenarios, the main benefits of ML are summarized, including scalability, competitive advantage, and continuous improvement over time. Issues such as data quality, algorithmic bias, privacy, and governance are also discussed in depth. The results suggest that ML can significantly change digital commerce strategies, guide informed business decisions, and maximize customer satisfaction in a global e-commerce setting.

The research value of Disney, as a ‌global entertainment conglomerate‌, is ‌rooted in the dual challenges of industry transformation and intensifying global competition. This paper presents an economic analysis of The Walt Disney Company. To provide a holistic view of Disney’s market position and future prospects, the analysis combines SWOT analysis and Porter’s Five Forces framework. Through SWOT analysis, the study identifies‌ Disney’s ‌core internal strengths—including‌ robust brand equity, diversified business segments, and an extensive intellectual property portfolio—‌while also examining‌ external opportunities such as digital streaming expansion and emerging market growth. Conversely, potential risks and competitive threats are also highlighted. Porter’s Five Forces analysis further reveals Disney’s favorable industry dynamics, including strong bargaining power with suppliers and buyers, minimal threat from new entrants and substitutes due to its unique value proposition, and manageable competitive rivalry through continuous innovation.

This study conducts an in-depth analysis of the pricing mechanism of China Merchants Bank's "Focus Link Series" equity-index-linked structured wealth management products, using the CSI 300 Index as the underlying asset. It systematically examines the pricing challenges of long-term structured products containing path-dependent clauses and volatility clustering characteristics. By constructing a hybrid pricing framework that employs discounted cash flow methods for fixed-income valuation and GARCH-calibrated Monte Carlo simulation for option pricing, the research reveals significant issuance premium in this 10-year product. Empirical results show an annualized volatility of 16.38% for the product. Greek analysis indicates negative Delta and positive Gamma values, demonstrating the product's unique sensitivity to underlying asset price movements. The study innovatively combines path-dependent Monte Carlo simulation with GARCH volatility modeling, expanding the theoretical framework for pricing structured products in China. Findings suggest that issuers should optimize long-term product pricing mechanisms and establish dynamic risk monitoring systems, while investors should fully understand the return distribution characteristics of structured products. Through rigorous quantitative analysis, this research provides new theoretical perspectives and empirical evidence for understanding the pricing logic of complex financial products in China's financial markets.

As a major global offshore financial hub, the Hong Kong stock market exhibits volatility anomalies that are significantly different from mature markets due to its dual pricing mechanism and the interweaving of international capital flows. This divergence is no accident; its core root lies first in the "dual pricing mechanism" unique to the Hong Kong stock market. Under this mechanism, locally listed securities denominated in Hong Kong dollars and cross-border trading securities affected by fluctuations in foreign exchange rates have formed parallel yet interacting pricing logics. This paper aims to examine the volatility anomalies exhibited by the Hong Kong stock market in recent years, analyze the underlying drivers, and explore their impact on market participants. Through an in-depth analysis of the Hang Seng Index, trading volume, investor behavior, global economic conditions, monetary policies, mainland economic policies, and industry characteristics, this paper reveals the multiple causes of volatility in the Hong Kong stock market and puts forward targeted investment strategies and recommendations.

The COVID-19 pandemic accelerated the shift towards remote work, which was at the time of its initial rise in popularity regarded as a niche phenomenon, to a common employment model in various sectors within the world economy. This study analyzes the economic effects of remote work based on both Chinese and English scholarly literature, with particular emphasis on outcomes related to productivity, wage inequality, and labor force participation trends. The results of this study conclude that remote work has benefits, such as reduced operational costs, enhanced flexibility for employees, as well as new job opportunities for marginalized groups. Nevertheless, the implementation of remote work also has some challenges, such as reduced collaboration, limited innovation, as well as unequal access to employment opportunities. The author finally concludes that an integrated strategy involving improved digital infrastructure, thoughtful hybrid work models, and progressive labor regulations is necessary to maximize the benefits of remote work while minimizing attendant risks in the post-pandemic economy.

This paper primarily examines the multifaceted impacts of fintech innovations on banking operations, explores the fundamental drivers behind banks' digital and intelligent transformation, and delves into the opportunities and challenges that current fintech advancements present for banks. It also identifies potential measures to address existing issues. This article employs a combined approach of theoretical analysis and literature review to systematically examine the changes brought about by recent developments in fintech to the banking sector. It concludes that fintech offers significant benefits to banks, including cost reduction, enhanced operational efficiency, more convenient services for banking customers, and an expansion of the overall scope and development level of the banking industry. However, the application of fintech still presents risks and regulatory gaps. In response to these issues, this paper proposes relevant policy recommendations in the areas of banking operations, talent and technology, and legal regulation. It also provides an analysis of the paper's potential shortcomings, enabling future researchers to better examine these aspects.

The labor force is the core element driving economic growth. Its quantity, quality and mobility directly determine the vitality of economy. The topic of the research paper is to analyze various aspects that affect the labor force and the corresponding policies for alleviating regarding issues relating to the labor force. The research method of this paper is analyzing previous scholars’ research on labor force through macroeconomic concept and practical cases, and study the significance, feasibility and improvements on policies. This paper introduces and points out the characteristic structure and development of Chinese economy. Then this study analyzes the impact of quantity, quality and mobility of labor force on economy, and emphasized that the quality of the labor force, specifically the level of education, is the core factor influencing economic growth. The aim is to strengthen the understanding that labor is a significant driving force for economic growth. Based on the experiences of labor forces in various countries and combining the characteristic of China’s labor force to provide a foundation on policy formulation. Finally, it offers a reference for other countries to solve global issues such as aging population.

With the rapid development of the global economy, competition among multinational corporations has become increasingly fierce. To gain a competitive edge in the international market, enterprises must enhance their core competitiveness and expand their global business footprint. Therefore, mergers and acquisitions (M&A) have become a key strategic tool for enterprises to accelerate development. In the development process of the media industry, M&A activities are also an important means to integrate resources and enhance market competitiveness. The merger of WarnerMedia and Discovery, as well as cases such as Warner's acquisition of Detective Comics (DC), provide rich samples for studying the successful experiences and potential risks of M&A in the media industry. This paper, through case analysis of M&A of different companies and their final results, and by using the event study method and case study method, deeply analyzes the related issues of M&A in the media industry. It aims to provide warnings for the M&A behaviors of current media giants to avoid similar risks and offer valuable references for industry participants.

Since 2019, many countries have made stronger energy transition policies: fiscal incentives, renewable portfolio standards (RPS), emissions trading (ETS), and big investments in power grids and Electric Vehicles (EV) charging. These policies work together. They shift investment to low-carbon projects, change the power mix, and change how prices form and how people adopt new technologies. Thia study utilizes three sources: the EIA's 2024 U.S. wholesale power data, the IEA's Global EV Outlook 2024, and a U.S. DOE report on vehicle-to-grid (V2G) technology. Thia study reports three results. First, U.S. wholesale electricity prices in 2024 were lower and less volatile than in 2022–2023, and solar and wind output went up. Second, public charging infrastructure expanded, and the United States moved from more than 180,000 chargers toward a 500,000 target by 2030. Third, global EV sales were about 14 million in 2023 (about 18%) and may reach about 17 million in 2024. This paper provides relevant suggestions for the development of the new energy industry.