Frontiers in Business, Economics and Management
Frontiers in Business, Economics and Management (FBEM) is a monthly, peer-reviewed journal published by Darcy & Roy Press. The mission of the journal is to provide an academic forum for discussing the issues of international business, economics and management across the world. All articles published are rigorously and fast reviewed meeting the Journal Quality standards.
Financial Performance Analysis of Xiaomi Corporation
Xiaomi Corporation is a Chinese investment holding company principally engaged in the R&D and sales of smartphones, IoT devices, and lifestyle consumer products, complemented by internet services and strategic investments. Following years of expansion, Xiaomi has solidified its market presence and scaled its operations significantly. This paper conducts a comprehensive analysis of Xiaomi’s financial health, industry positioning, and operational risks. By examining key financial indicators—specifically profitability and solvency—over recent fiscal years, this study identifies underlying operational inefficiencies and provides actionable insights for stakeholders. Furthermore, it evaluates the external and internal risks facing the enterprise and proposes corresponding mitigation strategies.
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Supply Chain Risk Management System in the Context of Digital Transformation
In the context of digital transformation, traditional supply chain risk management faces challenges. This study explores how digital technologies reconstruct risk management and enhance resilience. Through literature analysis and Huawei’s case, we find IoT, big data, and AI enable real-time visibility and predictive capabilities, while introducing new risks. A digital system integrating intelligent identification, assessment, response, and monitoring is proposed. Resilience hinges on visibility, agility, and adaptability. Huawei’s practices validate the framework. This provides guidance for enterprises to strengthen supply chains via digitalization.
Spatial Justice and Residential Differentiation in Inner-City Xi'an: A Comparative Study of Resettlement Housing, Urban Villages and Public Rental Housing
This study develops the original field report on urban problems in Xi'an into an English academic paper on residential differentiation and spatial justice. Taking East Bali Village resettlement housing, West Bali Village urban village housing and the Mingdemen public rental housing area as comparative cases, the paper examines how three housing spaces located close to the Xiaozhai central business district serve different social groups through differentiated rents, environments, tenancy relations and redevelopment expectations. The field evidence shows that Mingdemen public rental housing provides the most stable and comfortable environment at a low monthly rent of about 400 yuan, mainly supporting elderly people, disabled residents and other vulnerable groups. East Bali resettlement housing has better formal housing conditions than the urban village but relatively higher rents and a lower occupancy rate, reflecting the tension between physical upgrading and livelihood continuity after demolition and resettlement. West Bali Village offers the lowest threshold for migrants, delivery workers, security guards and small vendors, but its dense buildings, shared facilities, poor lighting and safety risks make it a typical low-cost yet environmentally deprived housing space. By linking the field findings with recent Chinese and international literature on urban renewal, affordable housing, migrant settlement and urban village governance, the paper argues that low-rent informal or semi-formal housing should not be understood only as an object of clearance. It also performs a compensatory function in the urban housing system. Inclusive renewal in Xi'an should therefore combine environmental improvement, rent affordability, tenant protection, livelihood support and participatory governance.
The Impact of Data-Driven Management on Decision Consistency in Firms: Evidence from Chinese Manufacturing and Service Sectors
The study determines how data-driven management (DDM) affects decisions at Chinese companies operating in manufacturing and service industries. With the growing complexity of the market environment and the demands of digital transformation that Chinese enterprises are facing, steady and quality decision-making has become one of the key success factors of competitive advantage. DDM, as a systematic data collection system with sophisticated analytics potential and evidence-based decision-making processes, has a promising potential to improve the quality and consistency of organizational decisions. This research aims to explore the effect of DDM practices on decision consistency at various organizational levels and the mechanisms by which the relationship between the two works out. The research design is a mixed-methods research design, which combines the qualitative analysis of a case study of top Chinese companies and the quantitative analysis of 180 listed companies based on regression. The results indicate that DDM has a substantial positive influence on decision consistency, where firms with a high intensity of DDM exhibit 42 percent increased decision alignment and a 35 percent decrease in decision variance compared to low DDM adopters. The study finds the concept of digital maturity as one of the factors of the moderation multiplier that strengthens the positive impacts of DDM on decision consistency. Moreover, this research reveals the implementation issues related to the Chinese business environment, such as cultural reluctance to data-focused methods and the inability to integrate with the old systems. The study adds to the current body of knowledge because it gives empirical evidence of the relationship between DDM and decision consistency in the Chinese institutional context and offers practical suggestions to companies that aim to increase the quality of decision-making by using systematic data.
Data Assetization and Carbon Information Disclosure Quality of Listed Enterprises
In the context of the digital economy and carbon neutrality goals, data assetization has emerged as an important approach for improving corporate governance and information management. This study examines the impact of data assetization on carbon information disclosure quality among Chinese listed companies. Drawing on signaling theory, stakeholder theory, and institutional theory, the paper proposes that data assetization enhances carbon disclosure quality by improving data governance capabilities and reducing information asymmetry. Furthermore, ESG environmental performance is expected to mediate this relationship, while environmental regulation strengthens the positive effect of data assetization on carbon disclosure quality. A theoretical framework is developed using Chinese A-share listed companies from 2020 to 2025 as the research context. The study contributes to the literature on digital governance and environmental disclosure by highlighting the role of data assets in promoting transparency and sustainability. The findings are expected to provide practical implications for enterprises seeking to improve carbon disclosure practices and for policymakers promoting carbon neutrality and sustainable development.
The Impact of AI Autonomy on Consumers' Purchase Intention
This paper explores the impact of AI autonomy on consumers’ purchase intention. Although highly autonomous AI can improve consumption efficiency and platform performance, excessive autonomous decision-making may weaken consumers’ sense of control, trigger algorithm aversion, and reduce trust, thereby decreasing purchase intention. The study proposes that perceived transparency plays a key mediating role in this process. Due to the “black-box” nature of highly autonomous AI, consumers often find it difficult to understand the rationale behind AI-driven decisions, which undermines trust in both the platform and the algorithm and subsequently affects purchasing decisions. In addition, product knowledge is found to moderate this relationship. Consumers with higher levels of product knowledge are more sensitive to algorithm transparency and are therefore more likely to perceive the negative effects of highly autonomous AI. Based on these findings, this paper provides theoretical insights for optimizing AI-powered consumer services and enhancing consumer acceptance.
Risk Assessment of Fresh Agricultural Product Supply Chains: A Case Study of Freshippo
Fresh agricultural products are characterized by perishability, strict timeliness requirements, and significant demand fluctuations. Their supply chains face a high degree of uncertainty in production, cold-chain logistics, sales feedback, food safety, and quality control. To identify and evaluate supply chain risks associated with fresh agricultural products, this study constructs an indicator system based on a literature review. The system consists of seven dimensions: production risk, logistics risk, sales information risk, collaborative management risk, external environmental risk, policy and regulatory risk, and food safety and quality risk. By integrating the C-OWA operator with grey clustering analysis, this study conducts an empirical assessment of the fresh agricultural product supply chain of Freshippo. The results show that the comprehensive risk value of Freshippo’s supply chain is 6.239, indicating a high-risk level. Food safety and quality risk, sales information risk, and external environmental risk are the main sources of risk. Excessive pesticide residues, customer trust crises, cold-chain equipment failures, and poor supplier management exert considerable influence on the overall risk level. Based on these findings, this study proposes several recommendations, including strengthening source control, improving cold-chain safeguards, enhancing digital collaboration, and establishing a continuous improvement mechanism. The findings are expected to provide a reference for supply chain risk governance in fresh food retail enterprises.
The Impact Mechanism of Health-Oriented Marketing on Residents’ Health Management Behaviors
This study examines how health-oriented marketing affects residents’ health management behaviors and through what psychological mechanisms this effect occurs. Drawing on the Stimulus–Organism–Response (S-O-R) model, the Theory of Planned Behavior, and value-based marketing theory, the study conceptualizes health-oriented marketing as an external stimulus composed of health information quality, health value orientation, and ethical and responsible orientation. Perceived value and health awareness are proposed as the key organism variables, while residents’ health management behaviors constitute the behavioral response. This study employs a quantitative cross-sectional questionnaire design targeting residents in the Bangkok Metropolitan Region who have been exposed to health-oriented marketing messages. The empirical results, based on structural equation modeling (SEM) of 386 valid responses, suggest that health-oriented marketing positively influences health management behaviors both directly and indirectly through perceived value and health awareness, with health awareness demonstrating a slightly stronger indirect effect. The study extends health-oriented marketing research into the public health management domain and offers practical implications for health enterprises, digital health platforms, and public institutions to foster long-term preventive health behaviors.
An Analysis of Consumers' Brand Trust Building and Behavioral Tendency from the Perspective of Self-Presentation
Study of the application of the theory of self-presentation to explain the construction of consumer brand trust and behavioural changes. Apply Goffman's dramaturgical theory to explore how self-congruity theory by Sirgy and the multi-dimensional trust model proposed by Mayer, Davis and Schoorman influence the construction of brand trust, how different dimensions of trust determine purchase intention, loyalty and word-of-mouth intentions, and what changes in the self-presentation-brand trust relationship are caused by the digital media environment. Therefore, the above studies indicate that the two primary ways consumers connect their self-concept with a brand are impression management and identity signalling; brand trust acts as an intermediary psychological bridge connecting this self-brand alignment to continuous behaviour.
Practical Exploration of Consumer Behavior and International Marketing Strategy Under the Guidance of Brand Management
So brand management has grown as the integrative paradigm with which multinational corporations are dealing with the nexus between consumer behaviour and international marketing strategy. The review considers the practical implications of this intersection on three axes: the mechanisms through which consumer-based brand equity affects purchase behaviour; the cross-cultural modulation of these mechanisms by Hofstede’s cultural dimensions; and the strategic implications for international marketing practice in digitally mediated brand environments. This review reports the consistent evidence that brand awareness, brand trust and perceived quality are the primary drivers of purchase intention across markets and that the relative salience of these drivers is systematically modulated by cultural context especially the individualism-collectivism and uncertainty avoidance dimensions, using the consumer-based brand equity model, cultural dimensions theory and the standardisation-adaptation literature. The paper considers the context of the digital transformation of brand-consumer interaction, expressed in the growth of the global influencer marketing market to USD 33 billion by 2025, which on the one hand enhances the mechanisms of brand equity, and on the other hand requires new strategic frameworks for international brand management. The study concludes with practical implications of the glocalization strategy as the dominant paradigm to balance brand consistency and cultural adaptability.
Consumer Behavior: An Interactive Perspective
The speed-up in the development of cross-border e-commerce has established new Interconnections among digital supply Chain Infrastructure and consumption Behaviour, which are still unexamined by existing theories. Based on this, develop an interactive model of the relationship between cross-border E-Commerce Platforms, digital Supply Chain Systems, and consumers' decisions, asserting that there is a lack of bidirectional or cyclical analysis in traditional one-way accounts. Based on Transaction Cost Theory, the service-dominant Logic of Marketing, and recent research on Platform Ecosystems, this article explores how digital supply chain abilities influence consumers' Trust in a market Environment, And how Consumer Behavioural signals trigger Supply Chain Re-configuration. Identifying logistics visibility, inventory intelligence, and last-mile delivery innovations as the essential supply-chain mechanism affecting consumers' experiences; Then, determine that the core channels for consumers to reshape supply chains include real-time demand-data aggregation, behaviour-patterns of returns, and the regulatory system of platform ecosystems. This paper proposes an integrated interactive Framework and implications for the Platform Strategy and Trade Policy.
How Firms’ Reference Price Strategies Shape Consumer Brand Loyalty in Luxury Markets
In the luxury goods market, reference prices, both external and internal, serve as key pricing signals that shape consumers’ perceptions of product value, brand hierarchy, and exclusivity, thereby influencing brand loyalty. External reference prices, including discount-oriented and premium-oriented displays, can adjust consumers’ short-term purchase behavior and gradually redefine their internal price benchmarks. Managing internal reference prices strategically across product lines, brand lifecycle stages, and market positioning enables luxury brands to cultivate long-term emotional commitment, attitudinal loyalty, and sustained market advantage.
The Impact of Social Media Marketing on Consumers’ Purchase Intention in Fast Fashion Apparel: A Dual Mediation Model of Brand Trust and Consumer Engagement
This study explores how social media marketing influences consumers’ purchase intention in the fast fashion apparel industry. Based on the S-O-R theory, a dual mediation model was constructed with brand trust and consumer engagement as mediators. Quantitative data from 200 valid online questionnaires were analyzed using SPSS. Results show that content quality, interactivity, and promotional activities all positively affect purchase intention, with interactivity having the strongest effect. Brand trust and consumer engagement play partial mediating roles, while content quality does not significantly affect consumer engagement. This study extends the S-O-R model and provides practical implications for fast fashion apparel brands.
Research on the Impact of Logistics Outsourcing Collaboration Relationships on Logistics Efficiency in Small and Medium-sized Enterprises
With increasingly fierce market competition, logistics outsourcing has become an important strategic choice for small and medium-sized enterprises (SMEs) to reduce operating costs and enhance core competitiveness. However, in practice, although many SMEs have carried out logistics outsourcing, they often face problems such as insignificant improvement in logistics efficiency and unstable service quality. This paper takes SMEs as the research object, analyzes the current state of their logistics outsourcing collaboration relationships, and uses questionnaire surveys and factor analysis to identify four core influencing factors: outsourcing contracts, information communication, outsourcing control, and logistics collaboration capability. It further analyzes the mechanism by which each factor affects logistics efficiency, providing a reference for SMEs to optimize their logistics outsourcing collaboration relationships and improve logistics efficiency.
Accounting Issues Arising from the Intertemporal Trading Characteristics of Financial Derivatives
Financial derivatives are an indispensable component of the modern financial market. Their intertemporal trading characteristics have created a series of challenges and problems for accounting practice. Research on the accounting measurement of derivatives involves interdisciplinary integration and remains a relatively under-explored area. This paper analyzes the accounting problems caused by the intertemporal nature of derivatives, mainly including accounting recognition and measurement, information disclosure, and fair value valuation, and proposes corresponding countermeasures. Using bibliometric analysis, qualitative research, and case analysis, this study concludes that accounting recognition, measurement, and fair value estimation are all subject to subjectivity, leading to untrue, inaccurate, and incomplete accounting information disclosure. Such problems can be alleviated by unifying standardized valuation models and disclosure policies. This research helps promote the improvement of accounting standards for financial derivatives, enhances the efficiency and transparency of the financial market, and reveals the dynamic relationship between financial innovation and financial supervision from an interdisciplinary perspective.
Human-AI Collaboration Perspective on Generative AI-Enabled Teaching Reform of Digital Finance Courses in Higher Vocational Education
The rapid iteration of generative AI technologies, represented by DeepSeek and ChatGPT, has injected new momentum into the digital transformation of higher vocational education. Current digital finance courses in higher vocational colleges commonly suffer from three problems: insufficient AI literacy among teachers, prominent learning aversion among students, and curriculum content iteration lagging behind industry development. Based on the human-AI collaboration theory, this paper analyzes the impact of generative AI on the entire process of lesson preparation, classroom teaching, learning, and evaluation, and proposes a three-tier "foundation-core-extension" curriculum restructuring plan along with a "pilot-optimize-promote" implementation strategy. The research aligns with the actual cultivation of intelligent accounting talents in higher vocational colleges and provides a replicable practical path for integrating AI into digital finance courses.
Research on the Integration Path of Village Industries Based on the Agriculture-Culture-Tourism-Wellness Theory: A Case Study of Yuxiao Village, a Manchu Village in Zunhua City
Industrial integration is a key pathway to promote rural revitalization and achieve prosperous village industries. This study takes Yuxiao Village, a Manchu imperial tomb-guarding village in Zunhua City, as the research object. Based on the Agriculture-Culture-Tourism-Wellness (ACTW) theory and the five dimensions of rural revitalization, this paper systematically explores the current status, characteristics, dilemmas, and optimization paths of industrial integration in the village by adopting methods such as literature review and field investigation. The findings indicate that Yuxiao Village possesses natural endowments for integration, including location advantages, cultural heritage, ecological resources, and agricultural foundations. Although industrial integration has been initially developed, it still faces challenges such as insufficient policy support, inadequate cultural exploration, low-level product development, and limited technological innovation. Accordingly, this study proposes targeted optimization strategies from the perspectives of talent, culture, and technology to promote the deep integration of agriculture, culture, tourism, and wellness industries. The research results not only provide practical guidance for industrial upgrading in Yuxiao Village but also offer references for similar ethnic minority villages in China to promote integrated development and achieve comprehensive rural revitalization.
Exploring The Perceptions of Legal Professionals on The Use of Artificial Intelligence in Contract Drafting
To investigate legal practitioners' acceptance, application effectiveness, and substitution potential of Artificial Intelligence (AI) tools in contract drafting, this study employs quantitative research methods centered on the Technology Acceptance Model (TAM), integrated with theories such as legal tech convergence. A questionnaire survey was conducted among 50 junior lawyers, mid-level lawyers, and paralegals in Beijing with over three instances of AI tool usage experience. Data statistics and analysis were completed using analytical tools. Results indicate no significant differences in overall AI tool acceptance across different legal positions. While practitioners generally embrace AI tools and acknowledge their ease of use, trust in these tools remains notably lower than perceived usability. AI tools demonstrated distinct advantages in enhancing contract drafting efficiency and reducing paper consumption. However, they exhibited notable shortcomings in clause accuracy and scenario applicability. Generated contracts still require manual review, and respondents believed AI-generated contracts cannot be directly used. Respondents generally agreed that current AI tools cannot fully replace traditional manual drafting methods, as lawyers' professional judgment in risk identification and clause customization remains irreplaceable. Regression analysis confirmed the significant positive impact of perceived usability on perceived usefulness, with substitution attitudes positively correlated with usage attitudes. This research provides data support for optimizing legal tech products, formulating industry policies, and transforming lawyers' work models. It also highlights limitations such as sample size constraints and geographic concentration, suggesting future studies should expand their scope and incorporate qualitative research to enhance the universality of conclusion.
Multivariate Linear Regression Modeling for Influencing Factors of Fetal Y-Chromosome Concentration in Pregnant Women
Noninvasive prenatal testing (NIPT) screens for chromosomal abnormalities by analyzing cell free fetal DNA in maternal peripheral blood, and the accurate quantification of fetal Y-chromosome concentration in male pregnancies is a decisive indicator of test validity. However, individual variability among pregnant women is substantial, so gestational age, body mass index (BMI), maternal age, and several other factors jointly modulate Y-chromosome concentration, which makes a single threshold rule inadequate across heterogeneous populations. The present study addresses the joint analysis of factors influencing Y-chromosome concentration by constructing a modeling framework centered on multivariate linear regression. The framework unifies a basic linear structure, generalized additive smoothing terms, and cubic spline basis expansions within a single estimation pipeline, and incorporates Pearson correlation and Spearman rank correlation, the F test, and the Akaike information criterion for variable screening and significance testing. Evaluation is carried out on a clinical NIPT dataset of 1082 records covering 12 obstetric indicators. On a held out test partition the proposed method attains a coefficient of determination of 0.687, a mean absolute error of 0.018, and a root mean square error of 0.024, which corresponds to an improvement of approximately 11.4% in the coefficient of determination over a purely linear baseline. The estimated regression coefficients indicate that gestational age exerts a significant positive effect on Y-chromosome concentration, that BMI exerts a significant negative modulating effect, and that maternal age, height, weight, and overall GC content contribute smaller yet statistically significant marginal effects when combined in the joint model. The proposed framework provides a quantitative basis for personalized decisions about the optimal NIPT testing window and is therefore relevant for improving the accuracy and timeliness of prenatal screening.
Research on the High-Quality Development Path of Gas Enterprises from the Perspective of Industry Efficiency Evaluation
Against the backdrop of global energy transition and the advancement of the "Dual Carbon" strategy, the gas industry is under multiple pressures such as shrinking traditional profit margins and accelerating substitution by clean energy. This paper selects 24 listed gas companies as analysis samples, and systematically explores the current situation of high-quality development and its core influencing factors in the gas industry by integrating the DEA-BCC model and the Malmquist index method. The results show that:(1)The overall industrial efficiency is characterized by weak technical support and gradually declining returns to scale.(2)Leading enterprises in the industry have significant advantages in technical efficiency, while some enterprises have low operational efficiency due to slow technological innovation and unreasonable scale structure.(3)Technological innovation is the key engine driving the growth of total factor productivity of enterprises, and low-carbon transition and cross-border collaborative cooperation will become important directions for the future development of the industry.(4)Gas enterprises should build an intelligent gas operation system, promote the complementary development of multiple types of energy, layout a low-carbon transformation path, enhance comprehensive competitiveness by relying on industrial collaboration alliances and foreign exchanges and cooperation.
Research on the Current Situation and Improvement Strategies of Express Packaging Recycling in Colleges and Universities Under the Background of Dual Carbon
Under the background of China's promotion of green and sustainable development and garbage classification policies, the amount of express packaging waste in colleges and universities has surged, resulting in prominent problems of resource waste and environmental pollution. As the main force of online shopping consumption, college students' willingness to recycle express packaging directly affects the efficiency of green campus construction and resource recycling. Based on the Theory of Reasoned Action (TRA), this paper adopts questionnaire survey method, statistical analysis method and literature analysis method, taking 131 college students as the research object, to explore the impact of recycling attitude, subjective norms and related external factors on their willingness to recycle express packaging. The study found that both recycling attitude and subjective norms have a significant positive impact on recycling willingness, and the popularization of environmental protection knowledge, personal information security protection, recycling reward mechanism and policy publicity all indirectly affect recycling willingness by influencing attitude or subjective norms. Based on the research conclusions, optimized suggestions are put forward from three levels of government, colleges and universities, and individuals to provide reference for improving the express packaging recycling system in colleges and universities.
Research on the Layout Optimization of the Production Area in an Auto Parts Manufacturing Enterprise Based on SLP
At present, in the field of production layout in the automotive parts industry, the overall situation still mainly follows the traditional functional zoning model. The organization of logistics and the spatial configuration of operation units are rather rough, and a highly efficient and coordinated systematic layout system has not yet been formed, which is at odds with the industry's demands for intelligence and flexibility. This paper takes D enterprise, which specializes in automotive parts production, as a case to analyze and optimize this issue. Currently, the Z-type automotive sensor production plant of D enterprise is confronted with problems such as high logistics costs and long logistics distances between production operation units, which are due to an unreasonable layout. To address this issue, this paper adopts the Systematic Layout Planning (SLP) method as an optimization approach. Specifically, this paper first comprehensively analyzes the logistics relationships, non-logistics relationships, and comprehensive logistics relationships within the plant, and explores the positional relationships among various operation units. On this basis, in combination with the actual production situation, a set of scientific and feasible workshop layout optimization plan is formulated. This plan not only effectively achieves the dual goals of cost savings and efficiency improvement, but also provides reliable theoretical support for similar enterprises in optimizing their workshop layouts. Through this research, the production efficiency of D enterprise has been significantly improved, and it also provides a reference for other enterprises in the industry in optimizing their layouts.
Study on the Practical Impact of the Current Interest Rate Policy on Household Well-being
This paper examines China’s interest rate policy adjustments since 2025, and uses official data from the People’s Bank of China and the National Bureau of Statistics, as well as practical situations related to people's livelihoods, to analyze the actual impact of interest rate adjustments on residents’ daily economic life. This study finds that the latest round of interest rate cuts and LPR reductions have effectively reduced the cost of housing credit for residents, significantly easing the burden of monthly household mortgage payments. At the same time, the continuous decline in deposit interest rates has caused a drop in residents' savings income, which has significantly guided their financial management behavior. While policies have boosted consumption and reduced social financing costs, they have also had uneven impacts on different income groups, with the elderly and low-income families being more affected by the decline in savings income. This study holds that households should optimize their asset allocation to adapt to the low-interest-rate environment. The policy makers should also be more balanced in terms of regulatory objectives and the security of livelihood, reduce the level of unequal wealth caused by the policy using different supportive actions, and realize the concerted development of economic stability as well as increased standard of living among the population.
Analysis of WTT's Business Model and Exploration of Commercialization Path Development
This study systematically analyzes the business model components, value creation logic, and commercialization pathways of the World Table Tennis Professional League (WTT). It explores methods to maximize commercial value while preserving the essence of sportsmanship, and identifies challenges and countermeasures through SWOT analysis. The findings provide theoretical references for the commercial operations of table tennis and other sports disciplines.
The Corporate Governance–Performance Relationship: A Review of Theory and Empirical Evidence
Corporate governance has emerged as a critical mechanism for enhancing corporate performance, accountability, and long-term sustainability in an increasingly complex and competitive global business environment. This study provides a comprehensive review of theoretical and empirical literature examining the relationship between corporate governance structures and multidimensional corporate performance. Drawing upon agency theory, stakeholder theory, stewardship theory, and resource dependence theory, the review synthesizes evidence across five key dimensions: corporate governance structure, equity structure, board governance, supervisory board governance, and corporate performance outcomes, including financial, market, operational, innovation, and sustainable development performance. The findings indicate that well-designed governance mechanisms—particularly board independence, diversity, ownership concentration, supervisory effectiveness, and leadership structure—significantly enhance organizational efficiency, strategic decision-making, transparency, and innovation capacity. Moreover, governance quality is shown to play a vital role in mitigating agency conflicts, strengthening accountability, improving information disclosure, and fostering sustainable competitive advantage. By integrating diverse theoretical perspectives and empirical findings, this review establishes a robust conceptual foundation for future empirical investigation and offers practical implications for policymakers, regulators, and corporate leaders seeking to optimize governance systems and enhance firm performance. The study contributes to the growing literature by providing a holistic framework that links governance structures with multidimensional corporate performance and sustainable value creation.
The Pathway to Success in Japan's Animation Industry and Its Implications for China's Animation Sector Development
The success of the Japanese animation industry stems from its profound cultural heritage, the integration of technology and art, and a well-established industrial ecosystem. Although the Chinese animation industry has witnessed rapid development, it faces issues such as content homogenization, fragmentation of the industrial chain, the disconnection between technology and art, and the mismatch between talent cultivation and industry demands. This paper conducts an analysis and proposes that the Chinese animation industry should create characteristic cultural IPs, build an industrial ecosystem, reform the talent cultivation mechanism, implement a "technology - content integration" strategy, and expand international cooperation. These suggestions provide a reference for the Chinese animation industry to break through bottlenecks, achieve high-quality development, and establish a unique position globally.
Scarcity and High Net Worth Customer Marketing: Brand Collaborative Strategy Analysis in Commercial Space Applications
This study analyzes brand co-branded strategies targeting high-net-worth individuals in commercial aerospace scenarios, examining the market size of commercial aerospace, consumption characteristics of high-net-worth individuals, unique value of brand collaborations, application methods and effectiveness of scarcity marketing, as well as implementation challenges and countermeasures for brand co-branded strategies.
An Analysis of Corporate ESG Performance and Project Financing Structure Optimization in UK North Sea Offshore Wind Development
In recent years, against the backdrop of low-carbon energy development, the development of offshore wind power in the North Sea of the UK has gradually become a model in the field of renewable energy, and ESG performance is becoming an important factor affecting offshore wind power financing activities. Therefore, the author analyzed the impact and mechanism of ESG performance of offshore wind power project construction and operation enterprises in the North Sea of the UK on project financing structure, and explored the mechanism of ESG in improving the financing environment of enterprises (such as reducing financing costs, increasing financing options, improving financing contract conditions, and increasing stock market preferences for projects), thereby promoting the mechanism process of project financing models becoming green and stable. Based on specific case studies, a financing structure optimization strategy based on ESG performance has been proposed, providing reference and guidance for Chinese enterprises to participate in international offshore wind power projects.
Rethinking Ethics in Brand Communication: AI for Sustainable Consumption
Artificial Intelligence has brought changes in some new Directions for brand Communication, while also triggering various Ethical Problems linked with Green Consumption. Using the latest precision of behavioural advertising and persuasion optimisation technologies to build asymmetric Power Relationships among Brands and Consumers, which were inadequately covered by previous ethical standards. Examine three main ethical conflicts caused by AI-based brand communication: The algorithm has manipulated consumer autonomy; There is an inadequacy in the data-consent system; Systematically promotes unceasing consumption. Drawing on data from the United Nations Environment Programme, the Global Web Index, etc., as well as Freeman's stakeholder theory, Belk's extended self-theory, and the UN Sustainable Development Goals framework. The three-level ethical governance System is introduced to Brands, Platforms and policy makers who want to align with sustainable consumption's Values Through artificial Intelligence-Powered Communication.
The Impact Mechanism of Business Process Management on Corporate Financial Efficiency in the Context of Digital Economy
Organizations should design, realise and improve optimisation in different areas based on the above trends today. The attention of business process management (BPM) is on improving organisational processes, enhancing the efficiency of operations for companies' profitability growth at an increasing rate recently. Although there is no clear path by which BPM impacts financial performance theoretically or empirically currently; More particularly In an Environment of Digital Economy. Based on the public Data supplied by The World Bank, The Organisation for Economic Cooperation and Development (OECD), Industry research reports, etc., as well as under existing theories of hammer & champy's business process reengineering theory, barney's resource-based view, and davenport's process innovation framework. Three types of influencing mechanisms have been clarified and studied separately: the process automation-cost reduction mechanism, the integrated use-of-data-and-decision-making-efficiency mechanism, and the risk management-compliance-efficiency improvement mechanism. Three-level impact mechanisms of a theory-based innovative organisation that has been on this path for some time and is now managing itself practically.