bluuebunny/crossref_metadata_2025 huggingface dataset:
A study of artificial intelligence and its role in human resource management
Authors: Gaddihalli Jayaraj , Shaikh Arif , Harti Rashmi
Published: December 2024

In this present scenario requests for the human assets as an obligatory resource in arrange to progress the organizational execution. The organizations need to endeavour for embracing the imaginative HR hones to move forward their execution and be diverse in the competition. In close future, HRM is moving from the conventional way of HR hones to more advance like computerization, increased insights, mechanical autonomy and AI. Artificial intelligence is already proving to change our lives. From mechanization of ordinary and time-consuming assignments, to the expansion and enhancement of human capabilities, Computer based program has changed the way work. This may not be a fair time for HR, but it can be a dangerous time that needs to be reformed and supported. Today’s HR professionals both human and technology work to create a simple and intuitive workplace. performance.
Research on O2O Model Dynamic Pricing Strategy and Consumer Surplus Relationship Analysis and Promotion Strategy: Take Meituan as an Example
Authors: Shao Jiajie
Published: December 2024

In today’s thriving digital economy, the O2O (Online-to-Offline) model has become a crucial component of modern commerce. In China, this model dominates key sectors, particularly in food delivery and fresh produce sales within supermarkets, serving as the primary operational approach. This paper takes a deep dive into the relationship between dynamic pricing strategies and consumer surplus within the O2O (Online-to-Offline) model, with Meituan serving as the primary case study. The O2O model plays a pivotal role in the digital economy, and understanding the interplay between pricing strategies and consumer surplus is essential for optimizing business performance in this sector. The paper offers a comprehensive analysis of Meituan’s business model, detailing its dynamic pricing strategies and the key factors that influence them. Furthermore, it identifies critical challenges within Meituan’s profit model, such as issues related to integrity and information security, and presents thoughtful recommendations for addressing these concerns. This research not only provides valuable insights for improving the operational efficiency of O2O platform enterprises but also enhances our understanding of how dynamic pricing impacts consumer welfare, making it a significant contribution to the study of digital business strategies.
Analysis of Digital Transformation Problems of Alibaba E-commerce Platform and Countermeasures to Enhance Personalised Services
Authors: Xu Hanchen
Published: December 2024

This study takes the digital transformation problem of Alibaba’s e-commerce platform as the object of research and explores how to enhance its market competitiveness by optimising personalised services. First, the research background analyses the background of the development of the global digital economy. Personalised service has become the key to enhancing user experience and market competitiveness. However, Alibaba still has room for improvement in its personalised service system. Through case studies, this paper explores the data integration and sharing problems, the adaptability of personalised recommendation systems, and the data privacy and security compliance pressures that Alibaba faces in the process of digital transformation. In response to these issues, the paper proposes the introduction of real-time data analytics capabilities, and the enhancement of data protection technology research and development in order to improve the efficiency and accuracy of personalised services. The study shows that addressing these issues will help Alibaba consolidate its global market leadership and enhance user experience. This study both looks ahead to the strategic development of Alibaba and provides an important reference for the progress of other e-commerce platforms. In addition, this study highlights the importance of digital transformation in modern business.
Application of artificial intelligence and Big Data in financial Management
Authors: Yang Jinyi
Published: December 2024

As artificial intelligence and big data technologies are rapidly changing the face of financial management. This paper delves into the application of artificial intelligence (AI) and big data technologies in modern financial management, revealing how these two technologies can reshape the financial management process, improve management efficiency and decision-making quality, and create greater economic value for enterprises. The core of the study focuses on the specific applications of AI and big data in financial data processing, risk identification and assessment, predictive analytics, and intelligent decision support, as well as how these applications can contribute to the intelligence, precision, and efficiency of financial management.The significance of this study lies in the fact that it provides new ideas and methods for enterprise financial management practices and promotes the intelligent transformation of financial management. By deeply analysing the application cases and effects of AI and big data in financial management, this paper provides valuable references and lessons on how enterprises can effectively use these technologies to improve their financial management.
A Study on the Challenges and Future Trajectory of Agricultural Data Transformation in the Big Data Era
Authors: Yu Jialu
Published: December 2024

This paper delves into the opportunities and challenges that the growth of big data has presented for the transformation of agriculture in recent years. Despite technological advances, agriculture often remains entrenched in outdated practices, and the shift toward data-driven agriculture has been slow. The urgency of this transition is underscored by the risk that if global production fails to keep pace with emerging market demands, more efficient producers will gain a competitive edge elsewhere. Key challenges identified include fragmented data sources, interoperability issues, and resistance from labor to adopting new technologies. To address these challenges, the paper suggests several measures: the adoption of interoperable data standards to ensure seamless data integration, fostering a culture of technology adoption through comprehensive training programs, and safeguarding employment by implementing retraining initiatives. These strategies are crucial for enabling agricultural entities to enhance productivity and sustainability. Additionally, they serve as a foundational guide for mapping out the transformation of the sector, ensuring that agriculture can meet future demands while supporting rural livelihoods. By embracing these changes, the industry can achieve a more resilient and sustainable future that is aligned with global food security goals.
Navigating the Digital Transformation of Sports Industry in China Based on Experience of Sports and Competition Events in Developed Countries
Authors: Wu Tung
Published: December 2024

Digital transformation is increasingly seen as a dynamic and enduring trend, offering unprecedented opportunities for growth and vitality within the sports industry. It brings new dimensions to engaging fans, sponsors, sports organizers, and enterprises by enhancing experiences in a participative sports paradigm. This research explores how digital transformation can revolutionize the sports sector, focusing on successful cases from developed countries such as Australia and Japan. These examples shed light on how digital tools like Artificial Intelligence (AI) and Non-Fungible Tokens (NFTs) are leveraged to enhance fan engagement, operational efficiency, and new revenue streams. By drawing insights from these global leaders, this study aims to identify both the opportunities and challenges faced by China’s sports market, which currently stands at a critical juncture of digital reform and policy modernization. The goal is to unlock the potential of China’s sports market, invigorate its landscape, and introduce greater flexibility in governance through digital transformation. The research objectives are twofold: firstly, to review successful cases of digital transformation in developed countries and the current challenges China faces in adopting these digital innovations, and secondly, to optimize and stimulate market vitality, fostering new paradigms within China’s sports industry. This study aims to offer actionable insights and strategies to drive China’s sports industry toward a more dynamic and sustainable future.
Conceptualizing the VCTD Framework: Groundbreaking Insights and Practical Insights from Luckin Coffee’s Digital Transformation
Authors: Gu Minjia
Published: December 2024

This paper delves into the digital transformation journey of Luckin Coffee, examining its brand positioning strategy within a highly competitive market. It begins by outlining the research background and conducting a comprehensive literature review to identify gaps in current studies related to digital transformation and market competition. The focus then moves to Luckin Coffee’s strategic use of digital tools and platforms to strengthen its brand and secure a competitive advantage. The paper assesses Luckin Coffee’s digital transformation trends and current efforts, critically analyzing its methods and achievements. From these insights, it refines the VCTD model — a conceptual structure designed for digital transformation—and proposes a four-stage roadmap to aid Luckin Coffee’ s ongoing digital journey. This roadmap outlines practical steps for continuous growth, covering everything from early adoption to achieving full digital integration. Moreover, the study evaluates the VCTD model’s effectiveness, spotting potential challenges and limitations in its deployment. In conclusion part, the paper summarizes key findings and suggests areas for further research, providing businesses like Luckin Coffee with a solid conceptual foundation and actionable advice for successfully managing digital transformation, thereby securing a lasting competitive edge and adaptability in a dynamic digital environment.
Research on enterprise digital transformation: A case study of Alibaba
Authors: Zhang Ao
Published: December 2024

With the rapid development of digital technology, digital transformation has become a key strategy for enterprises to enhance competitiveness and achieve sustainable development. Through digital transformation, Alibaba Group has successfully maintained its leading position in the global market and driven the expansion of several innovative businesses. This study uses Alibaba as a case and employs case analysis to explore its specific initiatives in areas such as e-commerce platform digitization, cloud computing, and big data applications. The research finds that Alibaba’s digital transformation has significantly enhanced its innovation capabilities, expanded new markets, and optimized operational efficiency, although there are still some issues and areas for improvement. Summarizing these aspects and proposing solutions will provide valuable reference experiences for other enterprises undergoing digital transformation. According to the research results of this paper, it is suggested that in the future digital transformation process, enterprises should strengthen investment in digital infrastructure and talent training, which is the most fundamental step of digital transformation.
Study on the Impact of Autonomous Driving Technology on the Economy and Society
Authors: Wang Qianxue
Published: December 2024

With the rapid development of the digital economy, autonomous driving technology, as a critical area of future transportation, is gradually transforming traditional transportation models and urban operation methods. This paper uses Baidu’s “Apollo Go” as an example to explore the impact of autonomous driving technology on the ride-hailing market, related industries, financial markets, and environmental protection. It also analyzes the employment impacts, safety risks, data privacy, and ethical challenges this technology brings. Through an in-depth study of the current application, market reactions, and social acceptance of autonomous driving technology, this paper concludes that while autonomous driving has significant potential to improve transportation efficiency, reduce costs, and lower carbon emissions, it also faces challenges such as labor market transitions and safety concerns. The paper suggests that the future development of autonomous driving technology depends on policy support, technological innovation, and social acceptance, and its widespread adoption will help promote the construction of smart cities and sustainable development.
Portfolio Optimization for Different Industries under Constraints
Authors: Zeng Weiming
Published: December 2024

Portfolio optimization has indispensable role in nowadays financial market. In today’s market with high volatility, portfolio optimization is particularly important. Investing in different industries seems to be a good way to diversify the risk. This paper study the asset allocation based on five different industries, i.e., technology, consumer goods, financial Services, healthcare and energy. To optimize the portfolio, Markowitz model is applied to predict the performance of the portfolio, meanwhile, four constraints which might appear in real world are used to help investors to determine the portfolio they prefer and deal with sophisticated situations. Maximum Sharpe Ratio, the minimum variance as well as the capital allocation line are calculated by Markowitz model and the minimum variance frontier under each constraint is also calculated by SolverTable. One conclusion the author gain is that SPX has high correlations with selected stocks except for NVDA but SPX is not a good choice for investors to balance risk and return. When constraints are added, the minimum variance frontier as well as the capital allocation line (Besides CAL4) behave not so good as before. These findings help investors to explore multiple optimization solutions in different situations, control risk exposures and avoid extreme portfolio allocations.
Challenges and Countermeasures of Banking Risk Management in Digital Transformation: Case study of state-owned commercial banks in China
Authors: Li Sijie
Published: December 2024

In the digital economy era, China’s state-owned commercial banks are undergoing a profound digital transformation. This transformation involves not only technological upgrades but also a complete reshaping of business concepts, organizational structures, and business processes. However, while digitalization brings convenience, it also brings new challenges to risk management in the banking industry, such as data security, privacy protection, technology risks, and compliance issues. Through case studies, this study examines the risk management challenges faced by Chinese state-owned commercial banks in the process of digital transformation and proposes corresponding countermeasure strategies. The main countermeasures include strengthening data governance and privacy protection mechanisms, introducing advanced technologies such as artificial intelligence and big data to improve the accuracy and efficiency of risk identification, cultivating composite risk management talents, and promoting the deep integration of technology and business within banks. In addition, the success of digital transformation requires policy guidance from regulators and collaborative efforts within and outside the industry to build a safe, efficient, and sustainable financial ecosystem jointly.
Research on Enterprise Price Competition from the Perspective of Game Theory—Taking Luckin Coffee and Cotti Coffee as Examples
Authors: Wang Lixuan
Published: December 2024

In recent years, the competition between Luckin Coffee and Cotti Coffee has intensified, leading to an increasingly aggressive price war in the Chinese market. This research utilizes game theory to analyze the price competition between these two companies, offering a clearer understanding of the interdependent and dynamic nature of their pricing decisions. By constructing a price game model, the study delves into the essence and internal logic of their competition, comparing the pricing strategies, market responses, and overall impact of these price wars on both companies. In 2023, both Luckin Coffee and Cotti Coffee aggressively pursued market share through extreme pricing tactics, triggering a prolonged and fierce price war. The analysis reveals that while these tactics temporarily bolstered their market positions, they also exposed both companies to significant margin pressure and increased business risks. The research underscores the unsustainable nature of such competition and the potential long-term harm to both companies’ profitability and market stability. Based on these findings, the paper offers several recommendations aimed at fostering a more fair, orderly, and sustainable competitive environment within the industry. By moving beyond aggressive price wars, Luckin Coffee and Cotti Coffee could focus on building brand loyalty, improving product quality, and innovating in service delivery, ultimately creating a healthier and more balanced market landscape.
Research on the Business Model of the Chinese Tea Beverage Industry by the SWOT: Take CHAGEE and Luckin Coffee as Example
Authors: Yu Puying
Published: December 2024

People’s enthusiasm for consuming has increased and social consumption has been upgraded as a result of the consistent economic growth. With the high popularity of freshly made tea beverages, many new tea beverage brands have appeared one after another, and they have been loved by contemporary young groups and have attracted wide attention from society. This has also led to ongoing discussions within the community over the new business model for the tea beverage industry. Through SWOT analysis, this study studied the reasons and business models behind the new tea beverage brands represented by CHAGEE and Luckin Coffee. The research examines the similarities between CHAGEE and Luckin Coffee’s market sizes, marketing strategy, and development paths in order to determine the necessary circumstances for creating new tea beverages. The development potential and drawbacks of CHAGEE and Luckin Coffee in the tea beverage business are then analyzed in this study. These findings are combined with the real state of the Chinese tea beverage industry to inspire the growth of CHAGEE and Luckin Coffee. Next, recommendations for creating cultural intellectual property rights that adhere to brand attributes, raise service standards and broaden service offerings, and improve product user experience are made.
Research on the Pricing Strategy of Mobile Game Props
Authors: Huang Yihan
Published: December 2024

In this paper, author will discuss pricing strategies for in-game items in mobile games and their significance within the gaming industry. Its market grows rapidly, and in-game items have become the primary source of income for companies. For instance, the sales of skins in “Honor of Kings” are rising an average of 800% yearly now. From this standpoint, pricing strategies for in-game items not only determine the profitability of gaming companies but also deeply influence gamer involvement and longevity of games. Research shows that gamers are often driven by emotion when they choose and purchase items, seeking appreciation from others for their achievements as well as warm feelings about themselves. According to the PSM method (Price Sensitivity Meter), game developers design tiers of pricing to suit different player base groups, squeeze (get) the most money while making all players happy and not exploiting a single soul. Newly that personalized pricing, subscription mode and social structures are at a fundamental part of every price strategy The future can only be one wherein virtual reality (VR) and augmented reality (AR) are solutions to future technical problems caused by modernization. Its application will increase the value and feeling of in-game items even further. This trend will continue to push forward innovation in the mobile gaming industry.
Research on Common Cognitive Biases and Mutual Influence in Corporate Decision Making
Authors: Yuwen Xinuo
Published: December 2024

This paper investigates the critical effect of cognitive biases on corporate decision-making, with a center on how these predispositions can lead to suboptimal outcomes, missed opportunities, or indeed catastrophic failures. Drawing on the previous work, the investigation distinguishes ten common inclinations that as often as possible influence commerce choices. The essential objective is to explore whether recognizing a key cognitive predisposition might rearrange the acknowledgment and administration of other related predispositions. The considered hypothesis states that that a few inclinations may have a foundational part, possibly activating or opening others. By focusing on this “core bias”, decision-makers might moderate the broader impact of numerous predispositions, making strides in choice quality and organizational performance. To prove those proposals above, this paper recites several relevant experiments. By comparing and cogitating their conclusion with the author’s own opinions, the author discoveries point to supplying senior supervisors with improved apparatuses for rational decision-making, eventually cultivating a more objective corporate culture and driving supported victory within the competitive global market.
The Impact of Supply Chain Digitization on Corporate Environmental Performance: The case of Weiming Environment
Authors: Zou Jiake
Published: December 2024

This study explores the impact of supply chain digitization on corporate environmental performance, taking Weiming Environment Protection. as a case study to analyze the path and impact of its digitization process on green supply chain management. It is found that the application of digital technology not only improves the collaborative innovation ability and resource allocation efficiency of the supply chain, but also effectively reduces environmental pollution and resource waste. In green supply chain management, Weiming Environment realized the digital supervision of the whole process of garbage removal, waste treatment and resource recycling through the intelligent management system, which improved the environmental performance of the enterprise. The study further suggests that digital technology plays an important role in promoting green transformation and can provide strong support for enterprises to cope with eco-standards and market competition. This study provides useful experiences and lessons for other enterprises in digital transformation and environmental performance improvement.
Analysis of service differentiation and purchase pricing strategies based on game theory
Authors: Liu Hankai
Published: December 2024

This paper uses game theory to analyse how tourist attractions can increase revenue through differentiated services and purchase pricing strategies in peak seasons, and attract tourists through strategies in low seasons, so as to balance the flow of tourists and avoid excessive gaps between peak and low flow times. The study constructs a revenue matrix and a dynamic game model to explore tourists’ decisions to purchase VIP services, corporate pricing strategies and market acceptance of differentiated services. Secondly, game theory is used to analyse why firms choose to adopt second-tier price discrimination in order to gain higher profits. The analysis shows that the introduction of differentiated service products can attract tourists and increase revenue. Meanwhile, differentiation game theory helps enterprises dynamically adjust their service strategies according to market demand to maximise long-term revenue and benefits. The study also points out that optimising pricing strategies is crucial to attract different consumer groups.
Research on evaluating water pollution determinants using multiple logistic regression
Authors: Shi Ruoyan
Published: December 2024

Water pollution is a pivotal challenge, underpinning urgent conversations around environmental sustainability, public health, and ecosystem viability. This research aims to assess the degree of water pollution, dissect and understand the myriad factors contributing to it, and pave the way for formulating effective mitigation strategies and policies to preserve the integrity of water bodies worldwide. It highlights that rapid industrialization, population growth, and agriculture cause pollution. Industrial activities release pollutants like heavy metals, while agriculture contributes through runoff. Urbanization also exacerbates the problem. The study uses a dataset from Kaggle and selects variables like aluminium, ammonia, etc. A multiple logistic regression model analyses factors affecting water potability. Results show that aluminium, chloramine, and ammonia positively correlate with potability, while uranium and barium have negative ones. Interaction terms added to the model improve its fit. The study emphasizes understanding individual contaminants and their interactions for effective water management strategies. Accounting for these interactions enables a more comprehensive understanding of the factors affecting water safety. These insights are crucial for developing targeted and effective water management strategies that ensure safe drinking water and support public health.
Game theory analysis of operational decision-making in green supply chain: The impact of consumer preferences
Authors: Shi Ruomeng
Published: December 2024

In the current global context of increasing emphasis on sustainable development, high carbon emissions and resource waste in traditional supply chains have become critical factors affecting supply chain efficiency. This paper conducts an in-depth analysis of green supply chain operational decisions from the perspective of consumer green preferences, utilizing game theory. Through the construction of Nash equilibrium, Stackelberg competition, and cooperative game models, this study explores the decision-making behaviors of suppliers and retailers and their interaction mechanisms under different game scenarios. The research findings indicate that as consumer green preferences strengthen, the level of green investment by various supply chain parties significantly increases. Under Nash equilibrium conditions, the optimal wholesale price rises with the increase in consumer green preferences, thereby enhancing the overall profit of the supply chain. Furthermore, cooperative game results demonstrate that supply chain participants can achieve maximized total profits through cooperation, outperforming the performance under Nash equilibrium and Stackelberg competition models. Therefore, the significance and value of this research lie in providing theoretical and practical support for addressing issues of green strategic planning and cooperation mechanisms in supply chains, particularly emphasizing the impact of consumer green preferences on supply chain strategies and operational decisions.
Study on risk control of visa-free policy based on game theory
Authors: Liu Chenhe , Tong Kaicheng , Wang Bochen
Published: December 2024

In recent years, the Chinese government continues to expand 24/72/144 hours visa-free policy applicable country places, many foreign tourists to take this opportunity to visit features of landscape in China. However, there are some illegal elements among the foreign tourists who “hang sheep’s heads and sell dog meat” in an attempt to seek illegal profits in the Chinese territory through means such as “three non”. In view of this series of illegal behaviours, the bilateral game model is used to study the impact of changes in parameters such as the amount of fine and the verification cost of public security organs on the proportion of foreign tourists who have “three non” (illegal entry, illegal residence and illegal work). The results show that increasing the fine amount and reducing the premium of the inspection cost of public security organs can effectively reduce the proportion of foreign tourists with “three non” problems. On this basis, this paper proposes to formulate reasonable fine standards, develop an information system for the exit and entry management of foreigners shared by the public security throughout the country by the central government, and open the public feedback channel, which can effectively solve the “three non” problems.
Game analysis of price war among merchants in the coffee market
Authors: Wang Zhuling
Published: December 2024

In recent years, with the improvement of the national economy, the improvement of living standards and the deepening of people’s understanding of coffee culture, China’s coffee market has entered a period of rapid development. The number of coffee brands and chain stores has increased rapidly, and coffee culture has gradually integrated into people’s daily lives. In order to better and faster occupy the domestic coffee market, the two major coffee giants Luckin Coffee and Kudi have chosen price war as their main strategy. This study uses the prisoner’s dilemma, the Bertrand model and repeated games to analyze the price game competition behavior between enterprises, and explores how enterprises can more effectively deal with the risks of price wars and reduce the negative impact of price wars. The results show that enterprises can enhance their market competitiveness through non-price competition (such as product differentiation, brand building, customer loyalty, etc.), and at the same time stabilize market prices through cooperation and tacit understanding to ensure the long-term sustainable development of enterprises. The effectiveness of these methods has been tested, and relevant strategic recommendations have been put forward.
Analysis of the impact of platform reputation systems on NFT copyright protection using repeated and evolutionary games
Authors: Yang Sizhe
Published: December 2024

In recent years, non-fungible tokens (NFTs) have rapidly emerged as a novel business model based on blockchain technology. However, this phenomenon also challenges the existing copyright protection system. This research develops game models between creators and collectors in the NFT market, considering different platform reputation mechanisms. First, the potential for individuals to achieve cooperative equilibrium in repeated games is explored, and then the group evolutionary stability in evolutionary games is analyzed. The findings indicate that platforms with reputation systems are more effective in encouraging creators to consistently produce original works, which is beneficial for copyright protection. For individuals, the degree of importance that creators place on future profits plays a crucial role in fostering long-term cooperation. In this context, reputation systems can lower the threshold for cooperation by reducing the required emphasis on future gains, thereby fostering greater cooperation. For groups, in the absence of reputation systems, creators tend to adopt non-original strategies. Conversely, a reputation system can encourage originality when sufficient incentives and a critical mass of initial original creators are present. The research offers a game-theoretic perspective on copyright protection in the NFT market, offering theoretical insights for designing effective reputation systems on NFT platforms and serving as a reference for policymakers.
Analysis of Market Positioning and Brand Competitiveness of Starbucks and Luckin Coffee in China
Authors: Jiang Mingjue
Published: December 2024

This paper analyses the positioning and brand competitiveness of Starbucks and Luckin Coffee in the Chinese market. It begins by outlining the current situation of the Chinese coffee market and discussing consumer behavior and market trends. The growing preference for coffee culture among young, urban consumers significantly drives market demand in China. Starbucks and Luckin Coffee hold prominent positions, catering to distinct customer segments. This paper examines the brand positioning of Starbucks and Luckin and their target segments, revealing that Starbucks attracts mid-to-high-end consumers through its premium image. At the same time, Luckin wins over the young and busy urban segment with its convenience and value for money. The study also compares their product and service differentiation and analyses the differences in their digital strategies. Starbucks focuses on the offline experience and is committed to creating a ‘third space’ with a warm and friendly atmosphere, while Luckin relies on the mobile internet and is data-driven to realize coffee at one’s fingertips. The paper concludes by summarising each brand’s strengths and identifying opportunities for enhanced competitiveness.
Research on the Risk Spillover Effect of Digital Financial Development on China’s Commercial Banks
Authors: Deng Xinyu
Published: December 2024

In recent years, digital finance has been developing continuously, and commercial banks have developed their own digital financial services in order to gain more profits from it in line with the advancement of technology, digital finance has presented commercial banks with unparalleled opportunities, as well as great challenges. To examine the influence of digital finance on the risk spillover among various categories of commercial banks. Theoretical analysis is employed to examine the direct and indirect impacts of digital finance on the risk transmission of commercial banks, as well as to measure the risk spillover effect of digital finance on different types of commercial banks using the GARCH-CoVaR model with skewed t-distribution. The results of the study show that among Chinese commercial banks, nationalized banks have the lowest level of risk, while city commercial banks have the highest risk. By comparing the risk spillover values (%CoVaR), it can also be seen that the highest risk spillover is for nationalized banks and the lowest is for urban commercial banks. This conclusion is of significance for regulating the systemic risk spillover of Internet finance, as well as promoting the sound development of Chinese commercial banks.
The Optimal Analysis of the Markowitz Portfolio Model: A Case Study of the New Energy Vehicle and Automotive Industry
Authors: Yang Kunyu
Published: December 2024

In the context of global environmental protection and the transition to a low-carbon economy, the new energy vehicle (NEV) industry has experienced rapid growth, with the Chinese market emerging as a key player. This paper selects five domestic NEV stock assets and applies the Markowitz portfolio model to optimize the portfolio weights. By analyzing historical data from August 2020 to August 2023, the optimal portfolio is calculated, and its effectiveness is validated using subsequent data from 257 trading days. The mean-variance model is employed for the calculations, and the optimal portfolio is selected based on the maximization of the Sharpe ratio. The results show that the proposed portfolio achieved a return of 41.1% during the backtesting period, significantly outperforming the equal- weighted portfolio, while also effectively controlling risk. Future research could enhance portfolio flexibility and return potential by incorporating multi-factor models or nonlinear optimization methods.
Analysis of Factors Affecting Sales Volume in the Tech Industry: A Multiple Regression Approach
Authors: Bai Qishan
Published: December 2024

This paper examines the factors influencing sales volume among listed tech companies, focusing on key variables such as market demand, stock price, and advertising costs. Using a multiple linear regression model, the study analyzes data from major tech firms, including Microsoft, Apple, and Tesla. The results reveal that advertising costs have a significant effect on sales volume, underscoring the importance of marketing expenditures in driving revenue growth. However, stock price and product price show less statistical significance, indicating these factors may have a smaller impact on sales compared to advertising. The findings emphasize the need for tech companies to strategically allocate marketing resources to optimize sales outcomes. Additionally, the study suggests expanding the scope of future research by incorporating a broader range of variables to better understand sales dynamics in the tech sector. Future studies could explore factors like technological innovation, market saturation, and consumer behaviour to offer a more comprehensive view of sales performance.
Valuation of Convertible Bonds Based on the Black-Scholes Model
Authors: Wang Yige
Published: December 2024

The objective of this paper is to estimate the value of convertible bonds using the Black-Scholes model. The paper commences with a comprehensive analysis of the theoretical composition of convertible bonds, with particular emphasis on their dual nature, comprising both a debt component and an embedded option component. Subsequently, the option aspect is valued using the Black-Scholes model. By integrating real market data, the study calculates the pure bond value and the option value for CITIC Convertible Bonds, thus determining the total bond value. The findings indicate that market prices for convertible bonds are below their theoretical values, suggesting potential arbitrage opportunities. In conclusion, the paper examines the key factors that influence the theoretical valuation of convertible bonds, including coupon rates, market interest rates, stock price volatility, and the risk-free rate. These factors play a critical role in determining the value of convertible bonds. The findings of this research are of value to both investors and issuers in their assessment of the value of convertible bonds.
Exploring Key Factors Influencing Retail Enterprise Performance: A Comprehensive Analysis Using Multivariate Regression Models
Authors: Zhang Chenshuo
Published: December 2024

This paper provides a comprehensive review of key factors influencing retail enterprise performance, utilizing multivariate regression models to explore internal and external drivers. With the retail industry facing increasing competition, understanding how variables such as marketing strategies, supply chain efficiency, and consumer behavior interact to shape business outcomes is essential. Through an in-depth analysis of existing literature, the paper identifies both traditional and emerging factors—like digital transformation and omnichannel strategies— that significantly impact performance. By applying regression techniques, the paper highlights the interplay between these variables and provides practical insights for retail decision-makers. Furthermore, the study discusses the strengths and limitations of various regression models, offering suggestions for future research aimed at refining analytical approaches to retail performance forecasting
Development and Optimization of Emergency Management Information Systems: A comparative analysis of China, United States and Japan
Authors: Wang Zhengliang
Published: December 2024

With the rapid progress of information technology, information systems have come into being, and various industries have adopted them to optimize and process business information. And for the government, the importance of enhancing emergency response capability through information systems is self-evident. In recent years, the government has been paying more and more attention to emergency management, how to build an efficient and reliable emergency management information system has become a key issue that emergency managers need to solve, especially in the period of the new crown epidemic, an efficient and reasonable emergency management information system is particularly important. Therefore, based on the current Chinese and foreign literature about emergency management information systems, this study first defines emergency management information systems, summarizes the overall emergency management information system frame-work of China, the United States, and Japan, and then compares its characteristics and points out the shortcomings of China’s current emergency management information system at the end of this study.
Issues and Countermeasures in the Canadian Stock Market: A Theoretical Analysis
Authors: Qi Yunfei
Published: December 2024

The Canadian stock market plays a fundamental role in the global economy, providing a means of capital movement and investment. But, in reality, there are a few main roadblocks that are inhibiting market effectiveness and performance. This paper discusses three problems that confront the Canadian stock market – liquidity inefficiency, sectorial focus, and regulatory insecurity. Inactivity, especially in small and mid-cap stocks slowed down trades and added to the transaction charges. The excessive focus of the market on natural assets and financial services leaves it vulnerable to sectoral shocks and lacks diversification. In addition, regulatory fragmentation retards and imposes costs. In response to these issues, the essay suggests enhancing liquidity through foreign investment and increased retail involvement, sectoral diversification through the creation of new sectors such as technology and streamlining the regulatory landscape by consolidating into a more integrated framework. These measures are made to boost the strength and global appeal of the Canadian stock market, to maintain long-term economic stability and prosperity.
Magnetic structure of solid oxygen in the vicinity of the α-β transition point
Authors: Slyusarev V. A. , Freiman Yu. A. , Yankelevich R. P.
Published: December 2024

The stability of the collinear antiferromagnetic structure of solid α-O2 against changes in the parameter ϰ = J3/J1 (J3 and J1 are the constants of the intra- and inter-sublattice exchange interaction between two nearest neighbors from the same basal plane) is investigated. It is shown that the collinear two-sublattice structure is stable for 0 < ϰ < 1/2. A second-order phase transition to a helical magnetic structure whose period in the direction of the monoclinic axis is, generally speaking, incommensurable with the lattice constant occurs at the point ϰ = 1/2. The pitch of the helix in this direction is equal to φ = 2 arccos (2ϰ)−1. A continuous transition to a triangular structure with φ = 2π/3 occurs at the point ϰ = 1. According to the estimates obtained, the helical phase exists in a narrow neighborhood of the α–β transition point (ΔT ≈0.2°K).
Spatio-temporal evolution of a nanosecond laser produced Zn plasma
Authors: Varghese Nikhil , Purushothaman Achu , Benny Cyril , H. Rao Kavya , Smijesh N. , Philip Reji
Published: December 2024

Optical emission spectroscopy of a nanosecond (ns) laser produced plasma (LPP) is carried out to investigate the effects of irradiation energy and ambient pressure on the spatio-temporal evolution of the intensity and linewidth of emissions in an expanding plume. The linewidth of neutrals (δλn) increases as a function of pressure for all axial distances up to 4 mm from the target surface. The oscillating behavior of δλn upon increasing ambient pressure for femtosecond (fs) and picosecond (ps) LPPs in the pressure range of 0.5 Torr to 50 Torr is absent in the present case. Hence, the ambiguities in calculating the number density using δλn is invalid for ns LPPs.
Ion-neutral phasing in Hall thruster breathing mode oscillations
Authors: Konopliv Mary F. , Johnson Lee K. , Wirz Richard E.
Published: December 2024

This study uses concurrent spectroscopic measurements that provide evidence of the predator–prey behavior between ions, neutral atoms, and electrons that is theorized to drive the Hall thruster breathing mode, a crucial oscillation in Hall thrusters impacting their efficiency and stability. A novel fast optical emission spectroscopy diagnostic is employed to simultaneously measure the characteristics of neutral and ion populations through their respective emissions. A quasi-1D predator–prey model of the breathing mode is utilized to predict the phase difference between neutral and ion populations according to the predator–prey theory. The observed phase difference between Xe I and Xe II emissions is consistent with the expected phase difference between neutral and ion populations predicted by the quasi-1D model. Several operating conditions are explored, and the impact of adjusting the plasma conditions are explored both through experiments and modeling.
High-precision Euler wavelet methods for fractional Navier–Stokes equations and two-dimensional fluid dynamics
Authors: Mohammad Mutaz , Trounev Alexander , Kumar Sachin
Published: December 2024

Numerical methods for solving fractional Navier–Stokes equations have garnered substantial interest due to their critical role in modeling fluid dynamics. This paper introduces a novel numerical approach that employs the Euler wavelet collocation method to solve the two-dimensional (2D) incompressible stationary flow Navier–Stokes equation with extraordinary accuracy, achieving an absolute error of less than 10−200. While our earlier examples focused on standard boundary conditions, we now emphasize the adaptability of the Euler wavelet method to more complex geometries, such as those encountered in practical applications. This adaptability extends to cylindrical and spherical coordinate systems, allowing for the accurate representation of various fluid flow scenarios. By providing detailed numerical examples that incorporate complex boundary conditions and geometrical considerations, we demonstrate the robustness and effectiveness of the Euler wavelet collocation method. These findings underscore the method's potential as a powerful tool for tackling intricate fluid dynamics challenges across diverse fields requiring high precision in simulations.
Mechanical and thermodynamic routes to the liquid–liquid interfacial tension and mixing free energy by molecular dynamics
Authors: Ogawa Rei , Kusudo Hiroki , Omori Takeshi , Smith Edward R. , Joly Laurent , Merabia Samy , Yamaguchi Yasutaka
Published: December 2024

In this study, we carried out equilibrium molecular dynamics (EMD) simulations of the liquid–liquid (LL) interface between two different Lennard-Jones components with varying miscibility, where we examined the relation between the interfacial tension and the free energy to completely isolate the two liquids using both a mechanical and thermodynamic approach. Using the mechanical approach, we obtained a stress distribution around a quasi-one-dimensional EMD system with a flat LL interface. From the stress distribution, we calculated the LL interfacial tension based on Bakker’s equation, which uses the stress anisotropy around the interface, and measured how it varied with miscibility. The second approach uses thermodynamic integration by enforcing quasi-static isolation of the two liquids to calculate the free energy. This uses the same EMD systems as the mechanical approach, with both extended dry-surface and phantom-wall (PW) schemes applied. When the two components were immiscible, the mechanical interfacial tension and isolation free energy were in good agreement. When the components were miscible, the values were significantly different. From the result of PW for the case of completely mixed liquids, the difference was attributed to the additional free energy required to separate the binary mixture into single components against the osmotic pressure prior to the complete detachment of the two components. This provides a new route to obtain the free energy of mixing.