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.
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.
Copyright (c) 2026 https://creativecommons.org/licenses/by-nc/4.0
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.
The Augmented Advisor Model in Wealth Management: A Qualitative Exploration of GenAI Application Efficiency and Human Trust Boundaries
In the future, the Wealth Management sector may have an upgraded form known as "enhanced advisors". It is expected that generative AI will assist people's work with reasoning abilities; however, they will not fully replace human labour. This paper qualitatively explores the new form through two inter-related aspects: application efficiency and the limits of people's trust. Based on relevant academic literature and institutional reports published from 2019 to 2026, this paper examines how large language models (LLMs) and agentic AI can improve operational efficiency in three areas: back-office compliance, front-end personalisation and client communication workflows; then analyzes unevenly distributed effects using the "prompt dividend" mechanism and supply-side model bias. On this basis, a triangular advisor-client-AI trust mechanism is used to model the generation and maturation process of trust from "avoidance" to "acceptance". Through analysis, although the number of GenAIs has increased through certain means, building trust requires explanation, human management, and organizational supervision. This paper proposes that a zero-trust governance architecture should be integrated with a human-in-the-loop mechanism to address the disconnect between efficiency potential and trust realisation.
On the Legal Regulation of Intra-Platform Competition in E-commerce Platforms
With the deepening development of the digital economy, competition among e-commerce platforms has become increasingly fierce, gradually evolving into "involutionary" competition characterized by continuous price suppression and excessive marketing. This competitive model guides merchants to continuously lower prices through algorithms and platform rules, forming a vicious cycle of "low price—low quality—lower price," which not only damages merchants' profits and innovation capabilities but also disrupts market order and affects the healthy development of the industry chain. From the perspective of competition law, this paper systematically analyzes the formation mechanism, legal attributes, and negative impacts of involutionary competition among e-commerce platforms on market competition. Combining this with current Chinese laws and regulations, it explores the dilemmas in regulation and proposes systematic suggestions from the perspectives of legislative improvement, enforcement optimization, and industry self-regulation to promote the standardized and orderly development of the platform economy.
Research on the Explanatory Adaptation Mechanism of Organizations in Response to Multiple Institutional Logic
Modern organizations generally exist in complex fields composed of multiple institutional logics. These logics come from different institutional sources (such as national regulations, market efficiency, professional norms, community beliefs, etc.), coexist, interweave, and even compete with each other, constantly posing strategic, structural, and operational challenges to organizations. This article attempts to explore how organizations adopt an interpretive adaptation strategy to understand, respond to, and control these diverse and even conflicting demands in the face of these challenges. This article argues that organizations are not passive recipients under institutional pressure, but rather active actors in interpreting, selecting, and synthesizing meanings from various logics. The article first reviews the concept of multiple institutional logics and the tense relationships they contain. Secondly, explanatory adaptation strategies for facing the above challenges were introduced, mainly including key steps such as logical identification and construction of meaning, logical screening and selective coupling, dynamic balance and integration of authority, and shaping internal and external legitimacy narratives. The ways in which the above process can be put into practice were also discussed, such as managing the meaning system within the organization, carrying out cross level institutional work, flexibly allocating resources and capabilities, and using identity and relationship strategies. This study deepens the understanding of organizational system adaptability and provides a theoretical perspective that emphasizes active interpretation and strategic adaptation for organizations operating in a diverse institutional environment.
Entering the Indonesian Clean Beauty Market: A Case Study of Grown Alchemist
The rapid expansion of the global clean beauty industry has created significant opportunities for international skincare brands seeking to enter emerging markets. Indonesia, with its large population and growing demand for sustainable and ethically produced personal care products, represents a particularly attractive destination for market entry. Despite the increasing importance of the Indonesian skincare market, limited academic research has examined how clean beauty brands can effectively position themselves within this rapidly developing environment. This‍‌‍‍‌‍‌‍‍‌ research focuses on how sustainable skincare brands enter the market in Indonesia, specifically through an analysis of the Australian brand Grown Alchemist. The research, based on secondary market data from various industry sources like Euromonitor Statista Nielsen and other reports, uses a qualitative case study methodology to analyze consumer behavior, market trends and competition in the Indonesian skincare ‍‌‍‍‌‍‌‍‍‌industry. The‍‌‍‍‌‍‌‍‍‌ research suggests that Indonesian buyers, especially those young urban consumers of generation Z and millennials, are highly motivated for green beauty products. Nevertheless, buying behavior is still very much dominated by such things as price awareness, seeking of halal label, and advice through social networks. Results point to celebrity campaigns on social media, tie-ups with established local cosmetics stores, and appropriate product marketing as major factors paving the way for success in the ‍‌‍‍‌‍‌‍‍‌market. This research adds to the body of work in international marketing and sustainable consumption by unveiling ways in which clean beauty brands may adjust their tactics when entering emerging markets. The results also provide actionable insights for worldwide skincare companies aiming at growing their footprint in Southeast ‍‌‍‍‌‍‌‍‍‌Asia.
ESG Performance and Corporate Debt Financing Costs
Against the backdrop of ongoing efforts to achieve carbon peaking and carbon neutrality, and the deep integration of green finance with the principles of sustainable development, corporate Environmental, Social, and Governance (ESG) performance has become a key non-financial indicator influencing both a company’s long-term growth potential and its valuation in the capital markets. Based on this, to thoroughly investigate the impact of ESG Performance on Corporate Debt Financing Costs, this study utilizes data from Chinese A-share listed companies from 2010 to 2024. By constructing a fixed-effects model, we empirically examine the relationship between ESG Performance and Corporate Debt Financing Costs. The results indicate that strong ESG Performance significantly reduces Corporate Debt Financing Costs; that is, the better the ESG Performance, the lower the Corporate Debt Financing Costs. This conclusion remains valid after robustness tests involving a one-period lag and the substitution of key variables. The findings enrich the existing literature on the relationship between ESG Performance and Debt Financing Costs, offering recommendations and evidence for companies to prioritize improving their ESG Performance and for governments to strengthen the development of ESG frameworks.
Corporate Governance, ESG Performance and Firm Performance: A Literature-Based Analysis of Chinese Listed Companies
Environmental, Social and Governance (ESG) has become an important framework for assessing corporate function, governance, sustainability, and the competitiveness of corporations, as companies are increasingly looking for a path towards sustainable development and invest responsibly. ESG indicators reflect not only a company’s environmental responsibility and social contribution, but also the quality of its governance and a company’s strategic sustainability. This study reviews the literature on corporate governance, corporate social responsibility (CSR), and ESG performance and investigates its association with the performance of Chinese-listed firms. Through integrating the existing literature and analysis of ESG disclosure from Chinese listed companies we propose to investigate the theoretical connection between corporate governance and sustainable corporate performance via ESG practices. The results imply that a well-structured corporate governance plays a major role in achieving increased ESG performance, in which corporate reputation in turn enhances its status while also lowering the operating risk and enhancing long-term financial output. Furthermore, corporate sustainability reports reveal that ESG strategies have emerged as a part of businesses and governance constructs developed by leading Chinese companies. The article also addresses the implications of ESG governance on sustainable corporate development, presents suggestions for enhancing ESG disclosure and governance systems in Chinese firms.
A Study on the Impact of Digital Transformation on the Innovation Transformation Efficiency of Specialized and Sophisticated SMEs and Its Internal Mechanisms
Digital transformation, as a crucial engine for high-quality economic growth, is increasingly drawing attention to its impact on corporate innovation activities. Specialized and sophisticated SMEs, as a vital component of the national innovation system, are actively integrating into the digital wave, with digital transformation being key to enhancing their competitiveness. However, these enterprises also face unique resource challenges in the process of digital transformation, and whether their digital investment can effectively promote the transformation of innovative achievements into corporate profits is worth exploring in depth. Using Chinese A-share market specialized and sophisticated SMEs from 2018 to 2022 as the research subject, this paper empirically examines the impact of digital transformation on innovation transformation efficiency. The study reveals that digital transformation has a significant inhibitory effect on innovation transformation efficiency. Financing constraints play an intermediary role in this relationship. Cash holding level, proportion of technical department employees, and R&D investment intensity can all significantly weaken the negative impact of digital transformation.
Research on the Path of Enterprise Management Innovation under Digital Transformation
Digital transformation has become an important strategic choice for enterprises seeking to improve efficiency, resilience, and competitiveness. However, digital transformation is not merely the application of digital technologies, but also a comprehensive change involving management concepts, organizational structures, business processes, data governance, talent systems, and risk control mechanisms. Many enterprises still focus mainly on technology investment while neglecting management innovation, which weakens the value creation effect of digital transformation. Based on literature review and normative analysis, this paper examines the necessity, major problems, and implementation path of enterprise management innovation under digital transformation. The study proposes a multidimensional framework including managerial mindset renewal, organizational structure optimization, business process reengineering, data governance enhancement, talent development and incentive improvement, digital risk control, and innovation-oriented organizational culture. The findings suggest that management innovation is the key organizational mechanism for transforming digital technology investment into sustainable enterprise performance. This study provides a systematic reference for enterprises to promote high-quality development in the digital era.
Digital Economy Development and Export Trade Complexity: The Mediating Effect of Technological Innovation
Against the backdrop of increasingly complex global economic conditions, intensifying trade frictions, and rising trade barriers, this paper uses panel data from 30 provinces and municipalities in China over an 11-year period to construct a digital economy indicator system and empirically examine the relationship among the digital economy, technological innovation, and export trade complexity. The results indicate that the development of the digital economy can significantly enhance the technological complexity of exports, thereby improving a country’s position in international trade. These findings remain robust after a series of robustness tests, including replacing explanatory variables and introducing lagged digital economy development indicators. Mechanism analysis shows that the development of the digital economy significantly promotes the level of innovation, which in turn increases the technological complexity of export products through innovation. Heterogeneity analysis reveals that the positive effect of the digital economy on export technological complexity is more pronounced in eastern regions, while the transformation efficiency of innovation outcomes in central regions remains relatively limited and the digital economy infrastructure in western regions is still underdeveloped. Further analysis employs a machine learning random forest model to examine the nonlinear relationship between the digital economy and export technological complexity. The results are analyzed and interpreted using optimal feature selection, relative feature importance ranking, partial dependence plots, and decision tree models.
Research on Large-scale Sports Events and the Construction of City Image
With the evolution of the global urbanization process, major sports events have transcended their original arena status and evolved into strategic engines for urban space production, symbol reconfiguration, and image governance. The 15th National Games (referred to as the "15th Games") in 2025 was jointly held by the three regions of Guangdong, Hong Kong, and Macao. This not only represents an institutional innovation in China's sports history but also constitutes a "grand narrative" for the collaborative construction of the image of the Greater Bay Area urban agglomeration. This paper, based on the theory of space production and the perspective of urban communication, deeply analyzes the internal mechanism by which large-scale sports events drive the construction of urban image. The research finds that the 15th Games effectively promoted the paradigm shift of the city identification system through the re-creation of physical space as a landscape, the mediaization of cultural symbols, and the window display of governance effectiveness. This paper not only focuses on the instantaneous image shaping during the event preparation period but also emphasizes the long-term communication strategies for regional image communities in the post-Games era. The research aims to provide theoretical support for empowering cities with high-quality development through large-scale events and to offer practical paths for cross-regional collaborative construction of urban images under the national strategy.
Managing Dynamic Capabilities in High-Risk Contexts: A Process Perspective on Collapse and Rebuilding
This study examines how dynamic capabilities in financial institutions collapse and are reconstituted under extreme uncertainty, including crises, policy shocks, market volatility, and technological disruptions. Using a mixed-method approach combining qualitative multiple-case studies and quantitative surveys, the study investigates the role of managerial cognition, resource reconfiguration, and organizational mechanisms in capability reconstruction. Findings indicate that extreme uncertainty triggers capability breakdown, while managerial perception, resource flexibility, and organizational resilience drive effective reconstitution. This research contributes a process-based framework for dynamic capability evolution and provides practical guidance for managers in high-risk environments.
The Effect of Creative Advertising on Consumers' Purchase Intention
In the era of digital marketing, increasing social media saturation has made it difficult for traditional advertising to capture consumer attention, highlighting the importance of creative advertising. Guided by the Stimulus–Organism–Response (S-O-R) framework, this study examines how creative advertising influences consumer purchase intention through cognitive and emotional responses. A qualitative descriptive design was employed, using semi-structured interviews with 12 purposively selected adult consumers, with data analyzed through thematic analysis. Findings indicate that creative advertising captures attention and reduces psychological resistance through humor, storytelling, and novelty. It elicits positive emotional and cognitive responses, enhancing engagement, memory, and brand trust. These responses mediate purchase intention by shaping preferences and aiding decision recall. Additionally, creative advertising stimulates both planned and impulse-driven purchases by creating meaningful emotional experiences. The study concludes that creative advertising serves as a powerful psychological and behavioral catalyst, offering valuable insights for developing more effective and engaging social media marketing strategies.