ISSN 2959-6130 (Print) ISSN 2960-1312 (Online) Editor-in-chief: Rana Muhammad Ammar ZAHID （The Business School, RMIT University） Associate Editor: Hadi Hussain （Xi'an Jiaotong University） Editorial Board Member: Muhammad Waleed Youn as （Xi'an Jiaotong University） Zi Mu （The University of Manchester） The Journal of Finance and Economics (JFE) is an accessible, peer-reviewed academic platform dedicated to the next generation of thinkers. Designed specifically for college students, young researchers and innovators, JFE serves as a bridge between foundational academic study and professional scholarly publishing. Our journal provides a high-quality venue for emerging voices to share original research, case studies, and innovative theories in the fields of Finance, Economics, and Management. We are committed to fostering academic growth by providing a rigorous yet supportive peer-review process that helps early-career scholars refine their work and contribute to the global conversation. Scope of subjects Finance: Exploring corporate finance, fintech, markets, and investment strategies. Economics: Investigating micro and macroeconomic trends, public policy, and behavioral shifts. Management: Analyzing organizational leadership, strategic innovation, and modern business operations. Interdisciplinary Studies: Welcoming work that connects these three pillars with technology, sustainability, and social impact. At JFE, we believe that innovation often begins with fresh perspectives. Whether you are an undergraduate student presenting your first empirical study or a young professional proposing a new management model, the Journal of Finance and Economics is your platform for academic excellence. All articles will be submitted to: Google Scholar, Crossref, U.S. Librarian Database, ProQuest (part of Clarivate’s Web of Science), Ulrich's Periodicals Directory, SEMANTIC SCHOLAR, OpenAlex.
China Educational Resources Analysis Based on GINI Coefficients
This article is based on the Gini coefficient to analyze the current educational status in China, and the Gini coefficient is calculated by the educational resources in different provinces. To diversify the sample, the work includes four different educational parameters: number of graduate students, number of institutions of higher learning, and number of high schools and middle schools. Based on the Chinese identity data from 2013 to 2021, this work calculates a line plot of the Gini coefficient, applying the correlation between the Lorentz curve and dynamic conditions. Concerning the different levels of education developments in China, it can draw the following conclusions: the Gini coefficient on the number of postgraduate students and institutions of higher learning is decreasing year by year, and the Gini coefficient on the number of high schools and middle schools appear an opposite trend. Regarding China’s basic national conditions, the research results show that postgraduate and institutions of higher learning education resources are more equal. Still, the trend for middle and high school is on the contrary.
Analysis of Short Video Marketing Strategy of Domestic Beauty Brands-Taking Flower Knows as an Example
Given the sustained growth of the socio-economic sector and the steady improvement in consumption levels, the cosmetics industry has gradually become one of the hot spots in the current consumption field. With the intensification of industrial competition and the continuous advancement of market transformation in the Internet era, beauty and makeup brand marketing is facing an urgent need for transformation and upgrading. To adapt to the Internet era and explore new and suitable marketing strategies, it has become a key issue that needs to be addressed urgently. In order to better market “Flower Knows”, this paper proposes the following marketing strategies: highlighting the brand characteristics of Flower Knows; increasing the use of short video presentation techniques; standardizing sales channels; and expanding market channels. Although Flower Knows, an emerging beauty and makeup brand in China, has been established for a relatively short period of time, it has stood out in the fierce market competition and achieved remarkable results. Therefore, the short video marketing and communication field of this brand is of great significance for discussion.
Corporate ESG Performance and Systematic Risk Exposure: Cross-Sectional Evidence from Chinese A-Share Firms
Environmental, social, and governance (ESG) issues play an increasingly visible role in both academic research and investment practice. However, most existing studies emphasize stock returns or total risk, with relatively limited attention to firms’ exposure to aggregate market risk. Using a large sample of Chinese A-share listed firms, this paper studies how cross-sectional differences in ESG performance relate to systematic risk exposure, measured by firm-year CAPM beta. Firm-year betas are constructed from monthly stock returns using a 36-month rolling window, while ESG performance is obtained from the Huazheng ESG rating system. ESG is treated as a firm-level characteristic, and the analysis relies on cross-sectional regressions with controls for firm size and year fixed effects. The evidence indicates that firms with stronger ESG performance tend to exhibit lower exposure to marketwide risk. This pattern is observed across firms of different sizes and reflects a combined effect of environmental and governance dimensions rather than a single component. The findings are descriptive in nature and do not imply causal relationships.
How Smart Contracts Reduce the Cost of Financing in Small and Medium-Sized Enterprises in China
Smart contract is a type of contract that exercised automatically if requirements are met in trades, the data on chains is available at all time and no edit or central authority intervene is allowed. In China, SMEs often face high requirement of lending from bank, information asymmetry and region difference when financing. In this research, it is proved that smart contracts reduce SME financing cost via lowering human labour and spend time, which is one of reasons that smart contracts and blockchain are welcomed in SMEs. The government should set related regulations on smart contracts and technical designers need to improve systems in the future so that more SMEs could get benefits during financing programs.
The Influence of the Socialist Regime Reform in Eastern Europe on the Economy
In the late 1980s and early 1990s, countries started the transition from planned economy to market economy. This study focuses on the role of the socialist regime reform in Eastern Europe on the economy and deeply analyzes the economic consequences and differences of the transformation through the analysis of cases and academic research results in Poland, Czech Republic, East Germany and other countries. The results show that the impact of the reform on the economy of Eastern Europe is obviously complicated and different: in the short term, “shock therapy” has caused the economies of various countries to shrink, resulting in hyperinflation, large-scale unemployment and informal labor market expansion; In the long run, Central and Eastern European countries rely on the opportunity of European Union (EU)’s eastward expansion to achieve economic recovery and westernization integration through trade liberalization and institutional improvement, while some former Soviet Union allies are caught in growth stagnation due to weak institutions and corruption. The significance of this study lies in clearly revealing the multiple paths and key influencing factors of economic transformation in Eastern Europe and providing a typical case for understanding the interactive relationship between institutional change and economic development.
Why do less countries bid for hosting worldwide sports competitions than before?
The Olympic Games have always been one of the worlds top sports competitions, combining nearly every sport in the world in one huge sporting event. Ever since the Olympics was introduced to the whole world, countries have been competing vigorously for the honor to host this game in their cities. But this situation have changed since the 2000s. In 1993, there was only a number of 11 applicant countries to bid for hosting the 2004 olympic games. The amount fell to 10 countries for the 2008 olympic games and only 5 countries applying for the 2024 games. In September 13th, the IOC single handedly selected Los Angelos to be the host city of the 2028 Olympic Games without even making a call for other bidders. These phenomenons all point to the increasingly decline of countries’ interest in hosting this competition.This trend reflects a complex interplay of economic, social, and political factors that have reshaped the global view point of hosting world-wide events. In the past, nations viewed hosting these competitions as a prestigious opportunity to showcase their cultural heritage, in order to boost national pride and stimulate economic growth through tourism and ticket sales. However, the huge costs of hosting these competitions often running into tens of billions of dollars. This have discouraged many potential bidders. These financial burdens have led countries to question the economic viability of such events. Additionally, social welfare demands have grown, with citizens prioritizing local needs like healthcare and education over other fancy mega-events. Environmental sustainability has also became a pressing issue, with the harm and pollution of large-scale events drawing criticism. As a result, only a few nations, often those with significant financial resources or stabilized governments, continue to bid for these competitions. This change raises questions about the future of global sports competitions and whether their traditional model remains sustainable or not.
Bitcoin’s Evolution: Institutional Adoption, Volatility Dynamics, and Market Narratives
This study examines the evolving characteristics of the Bitcoin market amid increasing institutional capital inflows. Employing an integrated analytical framework, it combines public market data, advanced financial econometric models, a significant institutional case study, and peerreviewed academic research. Key findings indicate that while Bitcoin exhibits substantial price appreciation potential, its volatility can be effectively characterized and forecast using Generalized Autoregressive Conditional Heteroskedasticity (GARCH) models, revealing strong persistence. The allocation decision by Stanford University’s Blyth Fund serves as a signalling event, denoting a qualitative shift in Bitcoin’s perception as a legitimate alternative asset class. Furthermore, empirical academic research on the volume-volatility nexus provides theoretical substantiation for the narrative that institutional participation alters market microstructure. The paper concludes that Bitcoin is undergoing a critical transformation from a speculative digital asset towards a novel store of value within institutional portfolios, with its persistent volatility acting as both a risk metric and a lens to understand evolving market dynamics.
Effectuation or Prediction? Dynamic Blends of Entrepreneurial Decision Logics under Knightian Uncertainty
Entrepreneurs typically operate within a context characterized not only by high uncertainty but also by an environment where planning rooted in predictive reasoning may not always be the most effective. This paper examines two diametrically opposed logics in entrepreneurshiprelated decision-making, specifically causal (or predictive) strategies and effectuation. It draws on Knight’s (1921) theories of uncertainty and effectuation theory, formulated by Sara V. Saravathy in 2001. The analysis compares the applicability of planning as a mechanism for achieving predetermined goals with effectuation throughout the entrepreneurial process. It investigates two empirical case studies in entrepreneurship to explore how effectuation operates during the early stages of ventures such as Airbnb. Conversely, Tesla offers insights into a hybrid approach integrating predetermined outcome planning and effectuation. The findings imply that both methods are applicable at distinct stages of an entrepreneurial venture’s growth.
The performance of the UK’s public transport system has become a growing concern, as rising fares, unreliable services, and unequal access increasingly affect both economic efficiency and social fairness. These issues make it important to study how market forces in the transport sector may not be working properly. This report focuses on the main forms of market failure in the UK, including monopoly power in rail services, reduced bus provision in rural areas, and environmental costs that are not fully priced into transport choices. Using basic economic ideas such as monopoly behaviour, externalities, and information problems, the report reviews government statistics, academic research, and recent industry data to explain why these failures continue. The findings show that high fares, poor performance, and unequal transport access are linked to long-standing structural problems. The report concludes that the UK needs both short-term protections for passengers and long-term reforms that improve oversight and support low-carbon transport.
Investment Banks’ Role in Innovating Financial Service Models for the Green Industrial Chain
The global “dual carbon” goals have driven the green industry to become a core direction of economic transformation. As professional financial intermediaries, investment banks possess capabilities in green financial product design, Environmental, Social and Governance (ESG) risk assessment, and cross-market resource integration, playing an irreplaceable role in guiding capital flow to the green industrial chain and addressing financing obstacles. This study focuses on the innovative design of financial service models by investment banks for the green industrial chain, adopting literature analysis, data analysis (indicator comparison) as research methods. It first identifies the core pain points in the development of China’s green industrial chain finance, then designs three innovative service models, analyzes the challenges faced, and finally puts forward corresponding suggestions such as strengthening supervision and introducing relevant talents. The research is expected to provide practical references for investment banks to participate in green industrial chain finance and promote the high-quality development of the green economy.
Data Analytics in ESG-Oriented Strategic Consulting: Drivers, Challenges and Optimization Pathways—A Case Study of Haier
Today’s firms must recognize that data analytics are vital to the future of many strategic consulting practices. For global manufacturing giant Haier, advances in ESG practices and performance are crucial amid tightening international requirements, China’s dual carbon goals and organizational optimization needs. In examining the role of data analytics in supporting the ESG transformation and operational optimisation at Haier, the current study will examine the link between digital capabilities and the implementation and management of the ESG performance. The data analysis and ESG performance data provided by the company will be the two primary sources of data, and the case study method will be employed to assess the links between the digital capacity of Haier and the implementation and management of the ESG performance of the company. The findings show that regulatory pressure, market demand and corporate digital transformation drive ESG progress, yet key challenges persist, such as insufficient intraorganisational data-sharing, supply chain sustainability gaps and data fragmentation. Recommendations to enhance Haier’s ESG performance include unified ESG data governance, organisational restructuring, strengthened supplier monitoring and better alignment with international reporting standards. These findings will provide guidance for organisations integrating data analytics into their ESGdriven strategic transformation initiatives.
Research on Valuation Revision of Chinese Steel Enterprises under the Dual Carbon Background — Cor e Indicator Analysis from a Quantitative Finance Perspective
Against the backdrop of China’s dual carbon goals of “peaking carbon before 2030 and achieving carbon neutrality before 2060,” the traditional price-to-book ratio (PB) valuation method for steel companies is insufficient to quantify the long-term value generated by green transformation, leading to serious distortions in corporate valuation. This paper takes 32 listed steel companies on the Shanghai and Shenzhen A-share markets from 2019 to 2024 as a sample. It employs a three-stage quantitative framework of “core indicator screening - weight calculation - valuation correction,”combined with random forest models and multiple regression analysis, to identify key valuation drivers and construct a corrected valuation model. The results show that the core valuation indicators are: green investment ratio (27.3%), capital turnover rate (24.6%), carbon emissions per unit of output (19.8%), and credit loan ratio (16.2%). These indicators account for a cumulative 87.9% of the valuation fluctuations. After using the corrected model , the valuation error of the traditional PB model (14.3%) is reduced to within 1%, and for every 1 percentage point increase in the green investment ratio, the corporate valuation premium increases by 1.7% (p<0.01).
ByteDance’s Development Strategy Analysis
This paper aims to conduct an in-depth analysis of ByteDance’s development strategy, exploring the underlying drivers of its rapid ascent in the global Internet sector and the efficacy of its strategic execution. The research adopts a mixed-methods approach integrating case study and data analysis methods. Through an examination of ByteDance’s market positioning, technological innovation, content ecosystem construction, and global layout, the paper elucidates the core factors underpinning its success and offers actionable insights for its future strategic trajectory. The research results indicate that ByteDance has attained extraordinary success in the global Internet market by virtue of its unique development strategy, which is characterized by a powerful datadriven algorithmic engine, a meticulously cultivated content flywheel, and a flexible “Glocalization” approach. Concurrently, the company confronts emerging challenges and opportunities pertaining to data privacy, international regulations, and intense market competition.
The Influence of Xiaomi’ s Marketing Strategy in China under the New Media Environment
This study looks into how Xiaomi’s marketing strategy affects its performance in the Chinese market under the new media environment, with a key focus on analyzing the company’s competitive standing through the lens of Porter’s Five Forces framework. As a significant player in the global smartphone and Internet of Things (IoT) sectors, Xiaomi has experienced rapid growth since its establishment in 2010. And this expansion is primarily driven by its strategic commitment to providing “highquality products at affordable prices” and its distinctive ecosystem-oriented business model. The analysis shows that Xiaomi has mitigated supplier bargaining power via bulk procurement and collaboration with multiple suppliers. However, it continues to face vulnerabilities concerning critical components, such as high-end chips, due to its limited in-house development capabilities. In competing with existing market players, Xiaomi stays competitive by offering cost-effective products with a wide range of features. Nevertheless, it runs into challenges from rivals like Huawei, Apple, OPPO, and vivo, particularly in areas including technological innovation, brand premium, and offline distribution channels. Market entry for new firms is difficult due to high barriers in technology, patents, and distribution, thus resulting in a relatively low threat from new entrants. Regarding customer switching, Xiaomi benefits from a loyal user base and the strong ecosystem integration, which help mitigate this risk. While buyers do possess some bargaining power due to market competition and product homogeneity, Xiaomi’s strategic pricing and brand loyalty serve to counterbalance this influence.
A Review of Financial Information Security Technologies Based on Blockchain and Artificial Intelligence
As FinTech advances rapidly, information security plays a key role in maintaining the stability of the modern financial system. Yet, traditional centralized security systems are increasingly revealing their limitations when facing new attacks like Advanced Persistent Threats (APTs), data tampering, and identity theft. In response, blockchain and artificial intelligence (AI), as two disruptive technologies, provide new ways to ensure data integrity and boost intelligent defense, respectively. Blockchain achieves data tamper-proofing and transparent traceability via decentralized ledgers, encryption mechanisms, and consensus algorithms, while AI utilizes machine learning and deep learning to enable smart detection, real-time monitoring, and risk alerting. Through the literature review and case studies, this paper explores the core connotations and risk environment of financial information security, systematically elucidating the application mechanisms, synergistic effects, and integration paths of blockchain and AI in the financial field. The study finds that the combination of the two significantly improves the security and intelligence level of the system in areas such as fraud prevention, risk control, privacy protection, and compliance auditing, demonstrating scalable innovation potential. In light of persistent issues like privacy protection, algorithm credibility, and regulatory standardization, this paper outlines potential future enhancements, offering theoretical guidance and practical insights for developing an intelligent and reliable financial information security framework.
A Study on the Resilient Design of Coastal Urban Parks
In the context of rapid urbanization and the growing emphasis on sustainable “Park Cities,” coastal urban parks act as critical socio-ecological interfaces that provide both environmental and social value. However, these spaces face pressures from environmental change and evolving urban demands, which traditional static designs struggle to address. This study develops a comprehensive framework for resilient coastal park design that integrates ecological integrity with social functionality, emphasizing both sustainability and long-term public value. Using Qingdao’s coastal parks as case studies, the research combines literature review, comparative analysis, and practical design guidelines to examine adaptive management strategies that enhance ecological performance, community engagement, and economic and social benefits. The findings highlight that shifting from static, resistance-based design to dynamic, resilience-oriented management can improve urban waterfronts’ adaptability, optimize public resource use, and foster sustainable urban development. This framework provides actionable insights for planners, policymakers, and stakeholders to maximize the ecological, social, and economic returns of urban coastal spaces.
Statistical Analysis and Research on the 15-Minute Convenient Living Circle in Yanta District
Building a 15-Minute Convenient Living Circle is a vivid practice of implementing a people-centered development philosophy. It holds significant practical importance for meeting residents’ daily needs, expanding consumption, driving economic growth, and enhancing urban functionality and quality. To advance the expansion and upgrading of these 15-Minute Convenient Living Circle and create age-friendly, high-quality living environments, this study takes Yanta District as a case. Employing a combination of literature review, field visits, questionnaire surveys, and interviews, it examines the implementation and outcomes of the 15-Minute Convenient Living Circle. Key dimensions explored include commercial format allocation, commercial network layout, community consumption, brand chain rate, digital and intelligent services, planning and management, and resident satisfaction. Quantitative statistical analysis of collected data identifies existing issues and shortcomings in the development of the 15-Minute Convenient Living Circle. Targeted development strategies and recommendations are proposed to promote future planning, optimize layout, and improve business formats within the circles. These measures aim to enhance services for the elderly and children, elevate digital and intelligent levels, strengthen chain rate, and improve collaborative governance capabilities, thereby driving the high-quality development of commerce and trade in Yanta District.
Resilience Under Pressure: An Integrated Analysis of Progress, Challenges, and Strategies in China’s Supply Chain Risk Management
In an era marked by heightened geopolitical tensions and systemic disruptions, building resilient supply chains has become a strategic imperative for national economies. Against the background of global industrial chain restructuring, China’s supply chain risk management is complex. Despite possessing a vast and integrated industrial ecosystem, China’s supply chains confront acute vulnerabilities, including ‘chokepoint’ technological blockades and the fragile resilience of numerous small and medium-sized enterprises (SMEs). Through an integrated analysis of contrasting case studies, this paper elucidates the divergent strategies and outcomes in managing these risks. The case of Huawei’s ‘de-Americanized’ supply chain restructuring, under extreme technological blockade and with supportive government intervention, epitomizes the severe external shocks and strategic responses. In contrast, the persistent digitalization gap and reactive risk management observed in a Wenzhoubased automotive SME reveal pervasive internal fragilities and the complex transmission of risks along the supply network. Conversely, the ‘capital-technology-ecology’ trinity model of international cooperation, as exemplified by Contemporary Amperex Technology Co. Limited (CATL), demonstrates a proactive pathway for mitigating resource dependence and building systemic resilience through strategic global embeddedness. The findings underscore the need for tailored strategies across different firm types and industries. Future research should integrate firsthand data with emerging technologies, such as AI, to develop more dynamic and operational risk management frameworks, thereby supporting the digital transformation and optimization of China’s industrial supply chains.
Small and Medium-Sized Enterprises (SMEs)
Economic Determinants of Obesity: Examining the Impact of Food Price Variations on Dietary Behavior in the United States
This paper examines the correlation between food prices and obesity in the United States. The primary inquiry examines the impact of fluctuations in food prices on individuals’ dietary behaviors and body mass. The research examines how economic variables and dietary regulations affect obesity, utilizing data from the World Health Organization, the Centers for Disease Control and Prevention, and studies conducted by Han, Powell, and others. This research report builds on various scholarly articles and data to establish the argument that the presence of obesity has various contributing factors related to food prices and policies and affects the health of people. The results indicate that when unhealthy, high-calorie foods are less expensive than nutritious options, individuals—particularly those with lower incomes—are more inclined to select them. This results in elevated obesity rates and associated health issues, including cardiovascular disease and diabetes. The research indicates that subsidizing healthy foods and imposing charges on sugary or fast foods may contribute to the reduction of obesity rates. Modifying food costs and enhancing availability to nutritional options may promote improved dietary habits and healthier lifestyles.
The Marketization Path of the Integration of Traditional Sports Events and Cultural and Creative Industries from the Perspective of Cultural Self-Confidence
Under the strategic guidance of “building a socialist cultural power” and “a sports power”, the cultural and economic value of traditional sports is increasingly prominent. However, in reality, traditional sports events face problems such as disconnect between their forms and the modern sports development trend, a lack of vitality in their event systems, and insufficient entertainment and competitiveness. This study uses an indirect approach to research the development and dissemination of traditional sports events. Taking the development of traditional martial arts events as a case, through the research and analysis of different existing papers, the following conclusions are drawn. The study finds that traditional martial arts have great cultural value and significance, but are extremely weak in education and popularization, inheritance, and scene application, as well as having insufficient social support and small international influence. The summary finds that traditional martial arts should start from the education system, social cultural dissemination, and international influence. The problems are summarized as the traditional closed apprenticeship method having limitations in modern society, insufficient social publicity, too small an international promotion range, and being impacted by foreign martial arts. Traditional martial arts should strengthen their application in higher education, integrate into new media for social dissemination, and actively participate in international events.
the construction of the education system
International Communication and Competitiveness
Current Status, Issues, and Futur e Directions of Pr oduction-Side Subsidy Policies: The Impact of Government Intervention on Market Dynamics in Industrial Development
China has implemented a number of production-side subsidy policies, which aim to assist specific sectors in achieving better development and production. These policies have generally achieved good results, but they have also created many problems that are different from those in other countries. Studying how to implement production-side subsidy policies is crucial for the overall development of society. To address the aforementioned issues, this research provides many representative examples of the current situation and problems faced by productionside subsidies, which reflect various different conditions. Ultimately, the article summarizes the problems of current production-side subsidy policies in terms of policy effectiveness, mechanism design, and international impact. Specifically, these problems include influencing normal market competition, the unreasonable waste of a large amount of funds, and often causing dissatisfaction in other countries. At the end of the article, the future optimization direction is summarized, that is, policies should be more precise and reasonable, and more fair and transparent. This provides a professional perspective for understanding subsidy policies and has certain guiding significance for the selection of actual subsidy methods in the future.
Research Progress on the Synergistic Path Between China’s New Urbanization and Industrial Policy
Nowadays, the Chinese government focuses more on high-quality economic development than before. Still, some problems have also become more outstanding, like the imbalances between urban and rural areas and among different industries. The traditional model of urbanization, with the core of scale expansion, is likely to result in industrial hollowing out and inequality of public services. In the meantime, the structural upgrading industrial policy is also facing challenges such as regional imbalances and inefficient allocation of factors. The collaboration between the two has become crucial for the next stage of development for urban-rural integration and economic structure optimization. Focusing on the collaborative path between new urbanization and industrial policy, through literature review and logical analysis, this paper systematically constructs a comprehensive framework of “problem diagnosis-- path construction-- cultural empowerment”, that is, to identify core conflicts, put forward collaborative strategies, and strengthen endogenous power through cultural empowerment. The results provide practical guidance for formulating coordinated development plans in line with specific situations, theoretical support for exploring China’s plans, and useful insights for developing countries facing similar challenges.
Credit Card Fraud Detection Using Machine Learning: A Case Study on Imbalanced Data
Credit card fraud remains a serious problem for financial institutions and consumers worldwide. The rapid growth of online and cashless payments offers opportunities for fraudulent activity. Although fraudulent activity is not common, it can cause serious economic losses and damage clients’ trust. Traditional rule-based systems often fail to capture complex and evolving fraud patterns, making machine learning (ML) methods a promising alternative. This paper takes the case study of the widely used Kaggle credit card fraud detection dataset as an example, which contains 284,807 transactions, of which only 492 cases of fraud (<0.2%). This paper explored data preprocessing, category imbalance processing, and a variety of machine learning models, including logical regression, decision trees, random forests and eXtreme Gradient Boosting (XGBoost). The results show that the integrated method (especially XGBoost) performs better than the baseline model, with the recipient operating feature curve (AUC) below AUC of 0.98, which achieves a better balance between recall and accuracy. In addition to technical results, the study highlights its commercial implications for reducing financial risks, improving efficiency and customer trust. The results show that integrating machine learning into fraud detection systems has both analytical and strategic advantages, although continuous updates and real-time adaptation are still essential.
Analysis of JD.com’s Digital Transformation and Its Impact on Corporate Profitability
In the context of the booming digital economy, enterprise digital transformation has become an important way to enhance core competitiveness and achieve sustainable development. Taking JD.com as a typical case, this paper adopts a research method that combines the case analysis with theoretical analysis to systematically explore the mechanism of the impact of enterprise digital transformation on profitability. The study found that JD.com, through the implementation of the strategic transformation of “supply chain-based technology and service enterprise”, built a technical infrastructure with JD Cloud and intelligent supply chain as the core, and successfully achieved innovation in the three major business models of retail, logistics and technical services. At the same time, it significantly improved profitability through the three major paths of cost control, differentiated premium and new profit model creation. This study not only deepens the theoretical understanding of the logic of enterprise digital value creation but also provides practical reference for the transformation and upgrading of traditional enterprises. It has important theoretical value and practical guiding significance.
The Role of Investment Banks in the Listing of Enterprises
Initial Public Offering of Stocks (IPO) is a crucial juncture for enterprises to move from the non-public market to the public market. It not only helps enterprises raise long-term development funds but also assists them in improving their governance structure and enhancing brand awareness. This study highlights the significance of investment banks in this process. This study mainly analyzed the role of investment banks in IPOs from three time periods: the early stage, the middle stage and the late stage. This article analyzes the core functions of investment banks in the IPO of hightech enterprises, such as professional consultation, due diligence and risk management, to reveal their key roles in enterprise screening, team building, market positioning and other aspects. Research has found that investment banks not only help enterprises successfully raise funds and enhance brand value, but also promote the standardization of their operations and the healthy development of the capital market. The research adopts a method that combines case analysis with functional review, which has practical guiding significance. It provides decision-making references for high-tech enterprises and investors and looks forward to the trend of in-depth cooperation between the two sides in fields such as green finance and technological innovation.
The Role of Dynamic Capabilities in Digital Transformation: Reconstructing Competitive Advantage in Uncertain Environments
In today’s rapidly changing business environment, digital transformation (DT) has changed from a strategic choice to a necessity for survival. However, many enterprises are still trying to transform their technology investment into sustainable performance improvement. This study explores how dynamic capabilities (DC) can help organizations cope with continuous digital change and maintain competitive advantage in an uncertain environment. From the perspective of DC, we have constructed a conceptual framework to link the process of perception, grasp and reconstruction with the results of digital transformation. Recent research and evidence at the enterprise level show that the success of digital programs depends not only on the adoption of advanced technologies, but also on how management processes integrate these dynamic capabilities into daily practice. This paper believes that these capabilities can enhance the resilience of organizations, enhance strategic response ability and ensure long-term competitiveness, so as to deepen the integration between dynamic capabilities and digital transformation literature.
The Path of Artificial Intelligence in Enhancing Enterprise Management Efficiency
As markets become increasingly competitive and business operations grow more complex, traditional management approaches that rely primarily on human judgment are often inadequate. This paper examines how Artificial Intelligence (AI) can enhance enterprise management efficiency, focusing particularly on three core dimensions: accelerating and improving decision-making accuracy, automating and streamlining operational processes, and optimizing human resource management. Drawing on recent studies and real-world business cases, the findings demonstrate that AI enables organizations to make more informed decisions, reduce operational costs, and respond more rapidly to market dynamics. Meanwhile, the paper also highlights major obstacles to AI adoption, including system integration issues, data privacy concerns, and shortages of skilled personnel. Furthermore, practical recommendations are proposed, such as phased AI implementation, strengthened data protection frameworks, and enhanced employee engagement. The overall results suggest that when enterprises plan carefully, align AI with strategic goals, and effectively integrate AI into management practices, they can significantly increase productivity, agility, and long-term competitiveness.
The Analysis of Arena Expansion Strategy and the Experience Refinement: --T ake Box Arena as an Example
In China, where the sports economy is becoming a significant part of urban expenditure, the emergence of high-rise, high-priced, yet high-traffic arena challenges conventional business model about stadium siting, pricing and accessibility. Against this background, The Box basketball arena born, as a unique case of successful expansion, though seemingly unfavorable conditions. The significance of this study is it has the potential to utilize sports economics theory and provide practical examples for urban arena development. There is actually a scarcity of study which focus on high pricing and unique siting arenas integrated within commercial complexity. Understanding The Box expanding experience offers lessons for fans, urban planners, sports entrepreneurs’ even club-owners. By handle their expanding wisdom, it is reliable for unique business just like them to navigate the balance between accessibility, pricing, and user experience. This paper combines sports economics and management theories and case study analysis of The Box arena. Findings indicate that The Box overcame its initial difficulties like COVID through membership system, strong community engagement, and brand differentiation strategies. The results indicate that high-floor, premium-pricing arenas can also reach sustainable brand growth, if it is supported by precise market targeting, community-based loyalty customers, and innovative space utilization. However, high running costs and unutilized idle space and capture customer demand are still their primary challenge.
When Passion Meets Belonging: A Study on the Influence of Event Identification and Urban Identification on Fans’ Consumption Behavior
Grounded in Social Identity Theory, this study develops a dual framework of event and urban identification to investigate their synergistic effects on sports event fans’ consumption behavior. It also examines the heterogeneous effects of fan origin (local vs. non-local) and companionship (solo vs. accompanied viewing). Using on-site survey data from the 2024 Chengdu Thomas & Uber Cup, hierarchical regression analysis and t-tests yielded the following results. Both event and urban identification positively influenced fans’ consumption behavior, with urban identification showing a stronger effect. Local fans demonstrated a more pronounced impact of urban identification on consumption, while non-local fans exhibited a stronger role of event identification. Soloviewing fans had higher event identification, resulting in greater ticket consumption, whereas accompanied-viewing fans showed stronger urban identification, leading to increased peripheral licensed merchandise consumption. These findings extend Social Identity Theory’s application to sports consumption and clarify the dynamic mechanisms of event-city integration. Theoretical contributions involve quantifying the synergistic effects of dual identification and incorporating Person-Positivity Bias Theory to explain companions’ moderating role. Practical implications include stratified marketing strategies for event organizers, such as enhancing city cultural integration for local fans and highlighting event uniqueness for non-local fans.
Consumer Psychology and Marketing Strategies for Women in the Digital Era
This research addresses the question of digital media influencing female consumers’ purchasing tendencies prevailing in the market. Women constitute one of the most powerful consumer segments of the digital age, accounting for significant consumer spending globally. The essay explores digital media’s influence on women consumers’ purchasing decisions and brands’ capabilities to create effective marketing communications that appeal to such a demographic segment. Through literature review and case studies, the research explores the psychological motivators of identification and the social, emotional, and psychological motivators of purchasing decisions of women consumers. It further examines the influence of various social networking platforms, communications from influencers, and electronic reviews on purchasing decisions. Research findings indicate that electronic bonding, social proof, and personalized digital experience constitute some of the highest determinants of purchasing decisions by women consumers. It concludes that brands must design marketing communications to appeal to women’s values through emotion branding, social identification communications, and influencers’ power to attain greater customer loyalty and digital space engagement.